docs/CHANGELOG.md: cut v1.101.0

Signed-off-by: hagen1778 <roman@victoriametrics.com>

.github/ISSUE_TEMPLATE/bug_report.yml

@@ -8,7 +8,7 @@ body:
         Before filling a bug report it would be great to [upgrade](https://docs.victoriametrics.com/#how-to-upgrade) 
         to [the latest available release](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/latest)
         and verify whether the bug is reproducible there.
-        It's also recommended to read the [troubleshooting docs](https://docs.victoriametrics.com/Troubleshooting.html) first.
+        It's also recommended to read the [troubleshooting docs](https://docs.victoriametrics.com/troubleshooting/) first.
   - type: textarea
     id: describe-the-bug
     attributes:
@@ -65,7 +65,7 @@ body:
         
         See how to setup monitoring here:
           * [monitoring for single-node VictoriaMetrics](https://docs.victoriametrics.com/#monitoring)
-          * [monitoring for VictoriaMetrics cluster](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#monitoring)
+          * [monitoring for VictoriaMetrics cluster](https://docs.victoriametrics.com/cluster-victoriametrics/#monitoring)
     validations:
       required: false
   - type: textarea

.github/ISSUE_TEMPLATE/question.yml

@@ -24,9 +24,9 @@ body:
       label: Troubleshooting docs
       description: I am familiar with the following troubleshooting docs
       options:
-        - label: General - https://docs.victoriametrics.com/Troubleshooting.html
+        - label: General - https://docs.victoriametrics.com/troubleshooting/
           required: false
-        - label: vmagent - https://docs.victoriametrics.com/vmagent.html#troubleshooting
+        - label: vmagent - https://docs.victoriametrics.com/vmagent/#troubleshooting
+          required: false
+        - label: vmalert - https://docs.victoriametrics.com/vmalert/#troubleshooting
           required: false
-        - label: vmalert - https://docs.victoriametrics.com/vmalert.html#troubleshooting
-          required: false

.github/PULL_REQUEST_TEMPLATE/pull_request_template.md

@@ -1,35 +0,0 @@
-### Describe Your Changes
-
-Please provide a brief description of the changes you made. Be as specific as possible to help others understand the purpose and impact of your modifications.
-
-### Checklist
-
-The following checks are mandatory:
-
-- [ ] I have read the [Contributing Guidelines](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/CONTRIBUTING.md)
-- [ ] All commits are signed and include `Signed-off-by` line. Use `git commit -s` to include `Signed-off-by` your commits. See this [doc](https://git-scm.com/book/en/v2/Git-Tools-Signing-Your-Work) about how to sign your commits.
-- [ ] Tests are passing locally. Use `make test` to run all tests locally.
-- [ ] Linting is passing locally. Use `make check-all` to run all linters locally.
-
-Further checks are optional for External Contributions:
-
-- [ ] Include a link to the GitHub issue in the commit message, if issue exists.
-- [ ] Mention the change in the [Changelog](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/docs/CHANGELOG.md). Explain what has changed and why. If there is a related issue or documentation change - link them as well.
-
-  Tips for writing a good changelog message::
-
-    * Write a human-readable changelog message that describes the problem and solution.
-    * Include a link to the issue or pull request in your changelog message.
-    * Use specific language identifying the fix, such as an error message, metric name, or flag name.
-    * Provide a link to the relevant documentation for any new features you add or modify.
-
-- [ ] After your pull request is merged, please add a message to the issue with instructions for how to test the fix or try the feature you added. Here is an [example](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4048#issuecomment-1546453726)
-- [ ] Do not close the original issue before the change is released. Please note, in some cases Github can automatically close the issue once PR is merged. Re-open the issue in such case.
-- [ ] If the change somehow affects public interfaces (a new flag was added or updated, or some behavior has changed) - add the corresponding change to documentation.
-
-
-Examples of good changelog messages:
-
-1. FEATURE: [vmagent](https://docs.victoriametrics.com/vmagent.html): add support for [VictoriaMetrics remote write protocol](https://docs.victoriametrics.com/vmagent.html#victoriametrics-remote-write-protocol) when [sending / receiving data to / from Kafka](https://docs.victoriametrics.com/vmagent.html#kafka-integration). This protocol allows saving egress network bandwidth costs when sending data from `vmagent` to `Kafka` located in another datacenter or availability zone. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1225).
-
-2. BUGFIX: [stream aggregation](https://docs.victoriametrics.com/stream-aggregation.html): suppress `series after dedup` error message in logs when `-remoteWrite.streamAggr.dedupInterval` command-line flag is set at [vmagent](https://docs.victoriametrics.com/vmgent.html) or when `-streamAggr.dedupInterval` command-line flag is set at [single-node VictoriaMetrics](https://docs.victoriametrics.com/).

.github/pull_request_template.md

@@ -0,0 +1,9 @@
+### Describe Your Changes
+
+Please provide a brief description of the changes you made. Be as specific as possible to help others understand the purpose and impact of your modifications.
+
+### Checklist
+
+The following checks are **mandatory**:
+
+- [ ] My change adheres [VictoriaMetrics contributing guidelines](https://docs.victoriametrics.com/contributing/).

CONTRIBUTING.md

@@ -1,21 +1 @@
-If you like VictoriaMetrics and want to contribute, then we need the following:
-
-- Filing issues and feature requests [here](https://github.com/VictoriaMetrics/VictoriaMetrics/issues).
-- Spreading a word about VictoriaMetrics: conference talks, articles, comments, experience sharing with colleagues.
-- Updating documentation.
-
-We are open to third-party pull requests provided they follow [KISS design principle](https://en.wikipedia.org/wiki/KISS_principle):
-
-- Prefer simple code and architecture.
-- Avoid complex abstractions.
-- Avoid magic code and fancy algorithms.
-- Avoid [big external dependencies](https://medium.com/@valyala/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d).
-- Minimize the number of moving parts in the distributed system.
-- Avoid automated decisions, which may hurt cluster availability, consistency or performance.
-
-Adhering `KISS` principle simplifies the resulting code and architecture, so it can be reviewed, understood and verified by many people.
-
-Before sending a pull request please check the following:
-- [ ] All commits are signed and include `Signed-off-by` line. Use `git commit -s` to include `Signed-off-by` your commits. See this [doc](https://git-scm.com/book/en/v2/Git-Tools-Signing-Your-Work) about how to sign your commits.
-- [ ] Tests are passing locally. Use `make test` to run all tests locally.
-- [ ] Linting is passing locally. Use `make check-all` to run all linters locally.
+The document has been moved [here](https://docs.victoriametrics.com/contributing/).

SECURITY.md

@@ -6,7 +6,7 @@ The following versions of VictoriaMetrics receive regular security fixes:
 
 | Version | Supported          |
 |---------|--------------------|
-| [latest release](https://docs.victoriametrics.com/CHANGELOG.html) | :white_check_mark: |
+| [latest release](https://docs.victoriametrics.com/changelog/) | :white_check_mark: |
 | v1.97.x [LTS line](https://docs.victoriametrics.com/lts-releases/) | :white_check_mark: |
 | v1.93.x [LTS line](https://docs.victoriametrics.com/lts-releases/) | :white_check_mark: |
 | other releases  | :x:                |

app/vlselect/vmui/asset-manifest.json

@@ -1,13 +1,13 @@
 {
   "files": {
     "main.css": "./static/css/main.bc07cc78.css",
-    "main.js": "./static/js/main.034044a7.js",
+    "main.js": "./static/js/main.8e7757ef.js",
     "static/js/685.bebe1265.chunk.js": "./static/js/685.bebe1265.chunk.js",
-    "static/media/MetricsQL.md": "./static/media/MetricsQL.10add6e7bdf0f1d98cf7.md",
+    "static/media/MetricsQL.md": "./static/media/MetricsQL.da86c2db4f0b05e286b0.md",
     "index.html": "./index.html"
   },
   "entrypoints": [
     "static/css/main.bc07cc78.css",
-    "static/js/main.034044a7.js"
+    "static/js/main.8e7757ef.js"
   ]
 }

app/vlselect/vmui/index.html

@@ -1 +1 @@
-<!doctype html><html lang="en"><head><meta charset="utf-8"/><link rel="icon" href="./favicon.ico"/><meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=5"/><meta name="theme-color" content="#000000"/><meta name="description" content="UI for VictoriaMetrics"/><link rel="apple-touch-icon" href="./apple-touch-icon.png"/><link rel="icon" type="image/png" sizes="32x32" href="./favicon-32x32.png"><link rel="manifest" href="./manifest.json"/><title>VM UI</title><script src="./dashboards/index.js" type="module"></script><meta name="twitter:card" content="summary_large_image"><meta name="twitter:image" content="./preview.jpg"><meta name="twitter:title" content="UI for VictoriaMetrics"><meta name="twitter:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta name="twitter:site" content="@VictoriaMetrics"><meta property="og:title" content="Metric explorer for VictoriaMetrics"><meta property="og:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta property="og:image" content="./preview.jpg"><meta property="og:type" content="website"><script defer="defer" src="./static/js/main.034044a7.js"></script><link href="./static/css/main.bc07cc78.css" rel="stylesheet"></head><body><noscript>You need to enable JavaScript to run this app.</noscript><div id="root"></div></body></html>
+<!doctype html><html lang="en"><head><meta charset="utf-8"/><link rel="icon" href="./favicon.ico"/><meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=5"/><meta name="theme-color" content="#000000"/><meta name="description" content="UI for VictoriaMetrics"/><link rel="apple-touch-icon" href="./apple-touch-icon.png"/><link rel="icon" type="image/png" sizes="32x32" href="./favicon-32x32.png"><link rel="manifest" href="./manifest.json"/><title>VM UI</title><script src="./dashboards/index.js" type="module"></script><meta name="twitter:card" content="summary_large_image"><meta name="twitter:image" content="./preview.jpg"><meta name="twitter:title" content="UI for VictoriaMetrics"><meta name="twitter:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta name="twitter:site" content="@VictoriaMetrics"><meta property="og:title" content="Metric explorer for VictoriaMetrics"><meta property="og:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta property="og:image" content="./preview.jpg"><meta property="og:type" content="website"><script defer="defer" src="./static/js/main.8e7757ef.js"></script><link href="./static/css/main.bc07cc78.css" rel="stylesheet"></head><body><noscript>You need to enable JavaScript to run this app.</noscript><div id="root"></div></body></html>

app/vlselect/vmui/static/media/MetricsQL.da86c2db4f0b05e286b0.md

@@ -22,7 +22,7 @@ However, there are some [intentional differences](https://medium.com/@romanhavro
 [Standalone MetricsQL package](https://godoc.org/github.com/VictoriaMetrics/metricsql) can be used for parsing MetricsQL in external apps.
 
 If you are unfamiliar with PromQL, then it is suggested reading [this tutorial for beginners](https://medium.com/@valyala/promql-tutorial-for-beginners-9ab455142085)
-and introduction into [basic querying via MetricsQL](https://docs.victoriametrics.com/keyConcepts.html#metricsql).
+and introduction into [basic querying via MetricsQL](https://docs.victoriametrics.com/keyconcepts/#metricsql).
 
 The following functionality is implemented differently in MetricsQL compared to PromQL. This improves user experience:
 
@@ -70,15 +70,15 @@ The list of MetricsQL features on top of PromQL:
   VictoriaMetrics can be used as Graphite datasource in Grafana. See [these docs](https://docs.victoriametrics.com/#graphite-api-usage) for details.
   See also [label_graphite_group](#label_graphite_group) function, which can be used for extracting the given groups from Graphite metric name.
 * Lookbehind window in square brackets for [rollup functions](#rollup-functions) may be omitted. VictoriaMetrics automatically selects the lookbehind window
-  depending on the `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query)
+  depending on the `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query)
   and the real interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) (aka `scrape_interval`).
   For instance, the following query is valid in VictoriaMetrics: `rate(node_network_receive_bytes_total)`.
   It is roughly equivalent to `rate(node_network_receive_bytes_total[$__interval])` when used in Grafana.
   The difference is documented in [rate() docs](#rate).
 * Numeric values can contain `_` delimiters for better readability. For example, `1_234_567_890` can be used in queries instead of `1234567890`.
-* [Series selectors](https://docs.victoriametrics.com/keyConcepts.html#filtering) accept multiple `or` filters. For example, `{env="prod",job="a" or env="dev",job="b"}`
+* [Series selectors](https://docs.victoriametrics.com/keyconcepts/#filtering) accept multiple `or` filters. For example, `{env="prod",job="a" or env="dev",job="b"}`
   selects series with `{env="prod",job="a"}` or `{env="dev",job="b"}` labels.
-  See [these docs](https://docs.victoriametrics.com/keyConcepts.html#filtering-by-multiple-or-filters) for details.
+  See [these docs](https://docs.victoriametrics.com/keyconcepts/#filtering-by-multiple-or-filters) for details.
 * Support for `group_left(*)` and `group_right(*)` for copying all the labels from time series on the `one` side
   of [many-to-one operations](https://prometheus.io/docs/prometheus/latest/querying/operators/#many-to-one-and-one-to-many-vector-matches).
   The copied label names may clash with the existing label names, so MetricsQL provides an ability to add prefix to the copied metric names
@@ -153,26 +153,26 @@ MetricsQL provides the following functions:
 ### Rollup functions
 
 **Rollup functions** (aka range functions or window functions) calculate rollups over **raw samples**
-on the given lookbehind window for the [selected time series](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window for the [selected time series](https://docs.victoriametrics.com/keyconcepts/#filtering).
 For example, `avg_over_time(temperature[24h])` calculates the average temperature over raw samples for the last 24 hours.
 
 Additional details:
 
 * If rollup functions are used for building graphs in Grafana, then the rollup is calculated independently per each point on the graph.
   For example, every point for `avg_over_time(temperature[24h])` graph shows the average temperature for the last 24 hours ending at this point.
-  The interval between points is set as `step` query arg passed by Grafana to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query).
-* If the given [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) returns multiple time series,
+  The interval between points is set as `step` query arg passed by Grafana to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query).
+* If the given [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering) returns multiple time series,
   then rollups are calculated individually per each returned series.
 * If lookbehind window in square brackets is missing, then it is automatically set to the following value:
-  - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query)
+  - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query)
     for all the [rollup functions](#rollup-functions) except of [default_rollup](#default_rollup) and [rate](#rate). This value is known as `$__interval` in Grafana or `1i` in MetricsQL.
     For example, `avg_over_time(temperature)` is automatically transformed to `avg_over_time(temperature[1i])`.
   - To the `max(step, scrape_interval)`, where `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
     for [default_rollup](#default_rollup) and [rate](#rate) functions. This allows avoiding unexpected gaps on the graph when `step` is smaller than `scrape_interval`.
-* Every [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) in MetricsQL must be wrapped into a rollup function.
+* Every [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering) in MetricsQL must be wrapped into a rollup function.
   Otherwise, it is automatically wrapped into [default_rollup](#default_rollup). For example, `foo{bar="baz"}`
   is automatically converted to `default_rollup(foo{bar="baz"})` before performing the calculations.
-* If something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) is passed to rollup function,
+* If something other than [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering) is passed to rollup function,
   then the inner arg is automatically converted to a [subquery](#subqueries).
 * All the rollup functions accept optional `keep_metric_names` modifier. If it is set, then the function keeps metric names in results.
   See [these docs](#keep_metric_names).
@@ -195,7 +195,7 @@ See also [present_over_time](#present_over_time).
 `aggr_over_time(("rollup_func1", "rollup_func2", ...), series_selector[d])` is a [rollup function](#rollup-functions),
 which calculates all the listed `rollup_func*` for raw samples on the given lookbehind window `d`.
 The calculations are performed individually per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 `rollup_func*` can contain any rollup function. For instance, `aggr_over_time(("min_over_time", "max_over_time", "rate"), m[d])`
 would calculate [min_over_time](#min_over_time), [max_over_time](#max_over_time) and [rate](#rate) for `m[d]`.
@@ -204,7 +204,7 @@ would calculate [min_over_time](#min_over_time), [max_over_time](#max_over_time)
 
 `ascent_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates
 ascent of raw sample values on the given lookbehind window `d`. The calculations are performed individually
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is useful for tracking height gains in GPS tracking. Metric names are stripped from the resulting rollups.
 
@@ -216,7 +216,7 @@ See also [descent_over_time](#descent_over_time).
 
 `avg_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the average value
 over raw samples on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is supported by PromQL.
 
@@ -226,7 +226,7 @@ See also [median_over_time](#median_over_time).
 
 `changes(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of times
 the raw samples changed on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Unlike `changes()` in Prometheus it takes into account the change from the last sample before the given lookbehind window `d`.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
@@ -241,7 +241,7 @@ See also [changes_prometheus](#changes_prometheus).
 
 `changes_prometheus(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of times
 the raw samples changed on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 It doesn't take into account the change from the last sample before the given lookbehind window `d` in the same way as Prometheus does.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
@@ -256,7 +256,7 @@ See also [changes](#changes).
 
 `count_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-functions), which calculates the number of raw samples
 on the given lookbehind window `d`, which are equal to `eq`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -266,7 +266,7 @@ See also [count_over_time](#count_over_time), [share_eq_over_time](#share_eq_ove
 
 `count_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-functions), which calculates the number of raw samples
 on the given lookbehind window `d`, which are bigger than `gt`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -276,7 +276,7 @@ See also [count_over_time](#count_over_time) and [share_gt_over_time](#share_gt_
 
 `count_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-functions), which calculates the number of raw samples
 on the given lookbehind window `d`, which don't exceed `le`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -286,7 +286,7 @@ See also [count_over_time](#count_over_time) and [share_le_over_time](#share_le_
 
 `count_ne_over_time(series_selector[d], ne)` is a [rollup function](#rollup-functions), which calculates the number of raw samples
 on the given lookbehind window `d`, which aren't equal to `ne`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -295,7 +295,7 @@ See also [count_over_time](#count_over_time).
 #### count_over_time
 
 `count_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -307,7 +307,7 @@ See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_
 
 `count_values_over_time("label", series_selector[d])` is a [rollup function](#rollup-functions), which counts the number of raw samples
 with the same value over the given lookbehind window and stores the counts in a time series with an additional `label`, which contains each initial value.
-The results are calculated independently per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+The results are calculated independently per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -316,7 +316,7 @@ See also [count_eq_over_time](#count_eq_over_time), [count_values](#count_values
 #### decreases_over_time
 
 `decreases_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of raw sample value decreases
-over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -325,7 +325,7 @@ See also [increases_over_time](#increases_over_time).
 #### default_rollup
 
 `default_rollup(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last raw sample value on the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 If the lookbehind window is skipped in square brackets, then it is automatically calculated as `max(step, scrape_interval)`, where `step` is the query arg value
 passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query),
@@ -336,7 +336,7 @@ This allows avoiding unexpected gaps on the graph when `step` is smaller than th
 
 `delta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the difference between
 the last sample before the given lookbehind window `d` and the last sample at the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 The behaviour of `delta()` function in MetricsQL is slightly different to the behaviour of `delta()` function in Prometheus.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
@@ -351,7 +351,7 @@ See also [increase](#increase) and [delta_prometheus](#delta_prometheus).
 
 `delta_prometheus(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the difference between
 the first and the last samples at the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 The behaviour of `delta_prometheus()` is close to the behaviour of `delta()` function in Prometheus.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
@@ -363,7 +363,7 @@ See also [delta](#delta).
 #### deriv
 
 `deriv(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second derivative over the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 The derivative is calculated using linear regression.
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
@@ -376,7 +376,7 @@ See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv).
 
 `deriv_fast(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second derivative
 using the first and the last raw samples on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -386,7 +386,7 @@ See also [deriv](#deriv) and [ideriv](#ideriv).
 
 `descent_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates descent of raw sample values
 on the given lookbehind window `d`. The calculations are performed individually per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is useful for tracking height loss in GPS tracking.
 
@@ -397,7 +397,7 @@ See also [ascent_over_time](#ascent_over_time).
 #### distinct_over_time
 
 `distinct_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the number of distinct raw sample values
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -406,7 +406,7 @@ See also [count_values_over_time](#count_values_over_time).
 #### duration_over_time
 
 `duration_over_time(series_selector[d], max_interval)` is a [rollup function](#rollup-functions), which returns the duration in seconds
-when time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) were present
+when time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering) were present
 over the given lookbehind window `d`. It is expected that intervals between adjacent samples per each series don't exceed the `max_interval`.
 Otherwise, such intervals are considered as gaps and aren't counted.
 
@@ -417,7 +417,7 @@ See also [lifetime](#lifetime) and [lag](#lag).
 #### first_over_time
 
 `first_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the first raw sample value
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 See also [last_over_time](#last_over_time) and [tfirst_over_time](#tfirst_over_time).
 
@@ -425,7 +425,7 @@ See also [last_over_time](#last_over_time) and [tfirst_over_time](#tfirst_over_t
 
 `geomean_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates [geometric mean](https://en.wikipedia.org/wiki/Geometric_mean)
 over raw samples on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -433,9 +433,9 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
 
 `histogram_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates
 [VictoriaMetrics histogram](https://godoc.org/github.com/VictoriaMetrics/metrics#Histogram) over raw samples on the given lookbehind window `d`.
-It is calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+It is calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 The resulting histograms are useful to pass to [histogram_quantile](#histogram_quantile) for calculating quantiles
-over multiple [gauges](https://docs.victoriametrics.com/keyConcepts.html#gauge).
+over multiple [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
 For example, the following query calculates median temperature by country over the last 24 hours:
 
 `histogram_quantile(0.5, sum(histogram_over_time(temperature[24h])) by (vmrange,country))`.
@@ -459,8 +459,8 @@ See also [hoeffding_bound_lower](#hoeffding_bound_lower).
 `holt_winters(series_selector[d], sf, tf)` is a [rollup function](#rollup-functions), which calculates Holt-Winters value
 (aka [double exponential smoothing](https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing)) for raw samples
 over the given lookbehind window `d` using the given smoothing factor `sf` and the given trend factor `tf`.
-Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering)
-returns time series of [gauge type](https://docs.victoriametrics.com/keyConcepts.html#gauge).
+Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering)
+returns time series of [gauge type](https://docs.victoriametrics.com/keyconcepts/#gauge).
 
 This function is supported by PromQL.
 
@@ -469,7 +469,7 @@ See also [range_linear_regression](#range_linear_regression).
 #### idelta
 
 `idelta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the difference between the last two raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -481,7 +481,7 @@ See also [delta](#delta).
 
 `ideriv(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the per-second derivative based on the last two raw samples
 over the given lookbehind window `d`. The derivative is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -490,8 +490,8 @@ See also [deriv](#deriv).
 #### increase
 
 `increase(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase over the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#counter).
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
 
 Unlike Prometheus, it takes into account the last sample before the given lookbehind window `d` when calculating the result.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
@@ -505,8 +505,8 @@ See also [increase_pure](#increase_pure), [increase_prometheus](#increase_promet
 #### increase_prometheus
 
 `increase_prometheus(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase
-over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#counter).
+over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
 It doesn't take into account the last sample before the given lookbehind window `d` when calculating the result in the same way as Prometheus does.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
 
@@ -517,13 +517,13 @@ See also [increase_pure](#increase_pure) and [increase](#increase).
 #### increase_pure
 
 `increase_pure(series_selector[d])` is a [rollup function](#rollup-functions), which works the same as [increase](#increase) except
-of the following corner case - it assumes that [counters](https://docs.victoriametrics.com/keyConcepts.html#counter) always start from 0,
+of the following corner case - it assumes that [counters](https://docs.victoriametrics.com/keyconcepts/#counter) always start from 0,
 while [increase](#increase) ignores the first value in a series if it is too big.
 
 #### increases_over_time
 
 `increases_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of raw sample value increases
-over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -532,15 +532,15 @@ See also [decreases_over_time](#decreases_over_time).
 #### integrate
 
 `integrate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the integral over raw samples on the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
 #### irate
 
 `irate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the "instant" per-second increase rate over the last two raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#counter).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -552,7 +552,7 @@ See also [rate](#rate) and [rollup_rate](#rollup_rate).
 
 `lag(series_selector[d])` is a [rollup function](#rollup-functions), which returns the duration in seconds between the last sample
 on the given lookbehind window `d` and the timestamp of the current point. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -561,7 +561,7 @@ See also [lifetime](#lifetime) and [duration_over_time](#duration_over_time).
 #### last_over_time
 
 `last_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last raw sample value on the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is supported by PromQL.
 
@@ -570,7 +570,7 @@ See also [first_over_time](#first_over_time) and [tlast_over_time](#tlast_over_t
 #### lifetime
 
 `lifetime(series_selector[d])` is a [rollup function](#rollup-functions), which returns the duration in seconds between the last and the first sample
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -579,14 +579,14 @@ See also [duration_over_time](#duration_over_time) and [lag](#lag).
 #### mad_over_time
 
 `mad_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates [median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation)
-over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outlier_iqr_over_time).
 
 #### max_over_time
 
 `max_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the maximum value over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is supported by PromQL.
 
@@ -596,14 +596,14 @@ See also [tmax_over_time](#tmax_over_time).
 
 `median_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates median value over raw samples
 on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 See also [avg_over_time](#avg_over_time).
 
 #### min_over_time
 
 `min_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the minimum value over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is supported by PromQL.
 
@@ -613,7 +613,7 @@ See also [tmin_over_time](#tmin_over_time).
 
 `mode_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates [mode](https://en.wikipedia.org/wiki/Mode_(statistics))
 for raw samples on the given lookbehind window `d`. It is calculated individually per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). It is expected that raw sample values are discrete.
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). It is expected that raw sample values are discrete.
 
 #### outlier_iqr_over_time
 
@@ -631,7 +631,7 @@ See also [outliers_iqr](#outliers_iqr).
 
 `predict_linear(series_selector[d], t)` is a [rollup function](#rollup-functions), which calculates the value `t` seconds in the future using
 linear interpolation over raw samples on the given lookbehind window `d`. The predicted value is calculated individually per each time series
-returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is supported by PromQL.
 
@@ -649,7 +649,7 @@ This function is supported by PromQL.
 #### quantile_over_time
 
 `quantile_over_time(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates `phi`-quantile over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 The `phi` value must be in the range `[0...1]`.
 
 This function is supported by PromQL.
@@ -660,7 +660,7 @@ See also [quantiles_over_time](#quantiles_over_time).
 
 `quantiles_over_time("phiLabel", phi1, ..., phiN, series_selector[d])` is a [rollup function](#rollup-functions), which calculates `phi*`-quantiles
 over raw samples on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 The function returns individual series per each `phi*` with `{phiLabel="phi*"}` label. `phi*` values must be in the range `[0...1]`.
 
 See also [quantile_over_time](#quantile_over_time).
@@ -668,7 +668,7 @@ See also [quantile_over_time](#quantile_over_time).
 #### range_over_time
 
 `range_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates value range over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 E.g. it calculates `max_over_time(series_selector[d]) - min_over_time(series_selector[d])`.
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
@@ -676,8 +676,8 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
 #### rate
 
 `rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the average per-second increase rate
-over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#counter).
+over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
 
 If the lookbehind window is skipped in square brackets, then it is automatically calculated as `max(step, scrape_interval)`, where `step` is the query arg value
 passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query),
@@ -694,16 +694,16 @@ See also [irate](#irate) and [rollup_rate](#rollup_rate).
 
 `rate_over_sum(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second rate over the sum of raw samples
 on the given lookbehind window `d`. The calculations are performed individually per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
 #### resets
 
 `resets(series_selector[d])` is a [rollup function](#rollup-functions), which returns the number
-of [counter](https://docs.victoriametrics.com/keyConcepts.html#counter) resets over the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#counter).
+of [counter](https://docs.victoriametrics.com/keyconcepts/#counter) resets over the given lookbehind window `d`
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -713,7 +713,7 @@ This function is supported by PromQL.
 
 `rollup(series_selector[d])` is a [rollup function](#rollup-functions), which calculates `min`, `max` and `avg` values for raw samples
 on the given lookbehind window `d` and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
-These values are calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+These values are calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
@@ -723,7 +723,7 @@ See also [label_match](#label_match).
 `rollup_candlestick(series_selector[d])` is a [rollup function](#rollup-functions), which calculates `open`, `high`, `low` and `close` values (aka OHLC)
 over raw samples on the given lookbehind window `d` and returns them in time series with `rollup="open"`, `rollup="high"`, `rollup="low"` and `rollup="close"` additional labels.
 The calculations are performed individually per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). This function is useful for financial applications.
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). This function is useful for financial applications.
 
 Optional 2nd argument `"open"`, `"high"` or `"low"` or `"close"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
@@ -733,7 +733,7 @@ See also [label_match](#label_match).
 `rollup_delta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates differences between adjacent raw samples
 on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated differences
 and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
-The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
@@ -747,7 +747,7 @@ See also [rollup_increase](#rollup_increase).
 `rollup_deriv(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second derivatives
 for adjacent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated per-second derivatives
 and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
-The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
@@ -759,7 +759,7 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
 `rollup_increase(series_selector[d])` is a [rollup function](#rollup-functions), which calculates increases for adjacent raw samples
 on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated increases
 and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
-The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
@@ -778,7 +778,7 @@ when to use `rollup_rate()`.
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
 
-The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -787,7 +787,7 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
 `rollup_scrape_interval(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the interval in seconds between
 adjacent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated interval
 and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
-The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
@@ -797,7 +797,7 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
 #### scrape_interval
 
 `scrape_interval(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the average interval in seconds between raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -807,7 +807,7 @@ See also [rollup_scrape_interval](#rollup_scrape_interval).
 
 `share_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-functions), which returns share (in the range `[0...1]`) of raw samples
 on the given lookbehind window `d`, which are bigger than `gt`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is useful for calculating SLI and SLO. Example: `share_gt_over_time(up[24h], 0)` - returns service availability for the last 24 hours.
 
@@ -819,7 +819,7 @@ See also [share_le_over_time](#share_le_over_time) and [count_gt_over_time](#cou
 
 `share_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-functions), which returns share (in the range `[0...1]`) of raw samples
 on the given lookbehind window `d`, which are smaller or equal to `le`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is useful for calculating SLI and SLO. Example: `share_le_over_time(memory_usage_bytes[24h], 100*1024*1024)` returns
 the share of time series values for the last 24 hours when memory usage was below or equal to 100MB.
@@ -832,7 +832,7 @@ See also [share_gt_over_time](#share_gt_over_time) and [count_le_over_time](#cou
 
 `share_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-functions), which returns share (in the range `[0...1]`) of raw samples
 on the given lookbehind window `d`, which are equal to `eq`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -841,15 +841,15 @@ See also [count_eq_over_time](#count_eq_over_time).
 #### stale_samples_over_time
 
 `stale_samples_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number
-of [staleness markers](https://docs.victoriametrics.com/vmagent.html#prometheus-staleness-markers) on the given lookbehind window `d`
-per each time series matching the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+of [staleness markers](https://docs.victoriametrics.com/vmagent/#prometheus-staleness-markers) on the given lookbehind window `d`
+per each time series matching the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
 #### stddev_over_time
 
 `stddev_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates standard deviation over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -860,7 +860,7 @@ See also [stdvar_over_time](#stdvar_over_time).
 #### stdvar_over_time
 
 `stdvar_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates standard variance over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -871,7 +871,7 @@ See also [stddev_over_time](#stddev_over_time).
 #### sum_eq_over_time
 
 `sum_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-function), which calculates the sum of raw sample values equal to `eq`
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -880,7 +880,7 @@ See also [sum_over_time](#sum_over_time) and [count_eq_over_time](#count_eq_over
 #### sum_gt_over_time
 
 `sum_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-function), which calculates the sum of raw sample values bigger than `gt`
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -889,7 +889,7 @@ See also [sum_over_time](#sum_over_time) and [count_gt_over_time](#count_gt_over
 #### sum_le_over_time
 
 `sum_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-function), which calculates the sum of raw sample values smaller or equal to `le`
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -898,7 +898,7 @@ See also [sum_over_time](#sum_over_time) and [count_le_over_time](#count_le_over
 #### sum_over_time
 
 `sum_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the sum of raw sample values
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -907,14 +907,14 @@ This function is supported by PromQL.
 #### sum2_over_time
 
 `sum2_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the sum of squares for raw sample values
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
 #### timestamp
 
 `timestamp(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the last raw sample
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -925,7 +925,7 @@ See also [time](#time) and [now](#now).
 #### timestamp_with_name
 
 `timestamp_with_name(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the last raw sample
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are preserved in the resulting rollups.
 
@@ -934,7 +934,7 @@ See also [timestamp](#timestamp) and [keep_metric_names](#keep_metric_names) mod
 #### tfirst_over_time
 
 `tfirst_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the first raw sample
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -943,7 +943,7 @@ See also [first_over_time](#first_over_time).
 #### tlast_change_over_time
 
 `tlast_change_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the last change
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) on the given lookbehind window `d`.
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering) on the given lookbehind window `d`.
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -959,7 +959,7 @@ See also [tlast_change_over_time](#tlast_change_over_time).
 
 `tmax_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the raw sample
 with the maximum value on the given lookbehind window `d`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -969,7 +969,7 @@ See also [max_over_time](#max_over_time).
 
 `tmin_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the raw sample
 with the minimum value on the given lookbehind window `d`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -979,7 +979,7 @@ See also [min_over_time](#min_over_time).
 
 `zscore_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns [z-score](https://en.wikipedia.org/wiki/Standard_score)
 for raw samples on the given lookbehind window `d`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -994,7 +994,7 @@ returned from the rollup `delta(temperature[24h])`.
 
 Additional details:
 
-* If transform function is applied directly to a [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering),
+* If transform function is applied directly to a [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering),
   then the [default_rollup()](#default_rollup) function is automatically applied before calculating the transformations.
   For example, `abs(temperature)` is implicitly transformed to `abs(default_rollup(temperature))`.
 * All the transform functions accept optional `keep_metric_names` modifier. If it is set,
@@ -1230,7 +1230,7 @@ by replacing all the values bigger or equal to 30 with 40.
 #### end
 
 `end()` is a [transform function](#transform-functions), which returns the unix timestamp in seconds for the last point.
-It is known as `end` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query).
+It is known as `end` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query).
 
 See also [start](#start), [time](#time) and [now](#now).
 
@@ -1653,14 +1653,14 @@ This function is supported by PromQL.
 
 `start()` is a [transform function](#transform-functions), which returns unix timestamp in seconds for the first point.
 
-It is known as `start` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query).
+It is known as `start` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query).
 
 See also [end](#end), [time](#time) and [now](#now).
 
 #### step
 
 `step()` is a [transform function](#transform-functions), which returns the step in seconds (aka interval) between the returned points.
-It is known as `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query).
+It is known as `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query).
 
 See also [start](#start) and [end](#end).
 
@@ -1717,7 +1717,7 @@ This function is supported by PromQL.
 
 Additional details:
 
-* If label manipulation function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering),
+* If label manipulation function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering),
   then the [default_rollup()](#default_rollup) function is automatically applied before performing the label transformation.
   For example, `alias(temperature, "foo")` is implicitly transformed to `alias(default_rollup(temperature), "foo")`.
 
@@ -1894,7 +1894,7 @@ Additional details:
   and calculate the [count](#count) aggregate function independently per each group, while `count(up) without (instance)`
   would group [rollup results](#rollup-functions) by all the labels except `instance` before calculating [count](#count) aggregate function independently per each group.
   Multiple labels can be put in `by` and `without` modifiers.
-* If the aggregate function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering),
+* If the aggregate function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering),
   then the [default_rollup()](#default_rollup) function is automatically applied before calculating the aggregate.
   For example, `count(up)` is implicitly transformed to `count(default_rollup(up))`.
 * Aggregate functions accept arbitrary number of args. For example, `avg(q1, q2, q3)` would return the average values for every point
@@ -2104,7 +2104,7 @@ See also [quantile](#quantile).
 `share(q) by (group_labels)` is [aggregate function](#aggregate-functions), which returns shares in the range `[0..1]`
 for every non-negative points returned by `q` per each timestamp, so the sum of shares per each `group_labels` equals 1.
 
-This function is useful for normalizing [histogram bucket](https://docs.victoriametrics.com/keyConcepts.html#histogram) shares
+This function is useful for normalizing [histogram bucket](https://docs.victoriametrics.com/keyconcepts/#histogram) shares
 into `[0..1]` range:
 
 ```metricsql
@@ -2208,7 +2208,7 @@ See also [zscore_over_time](#zscore_over_time), [range_trim_zscore](#range_trim_
 ## Subqueries
 
 MetricsQL supports and extends PromQL subqueries. See [this article](https://valyala.medium.com/prometheus-subqueries-in-victoriametrics-9b1492b720b3) for details.
-Any [rollup function](#rollup-functions) for something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) form a subquery.
+Any [rollup function](#rollup-functions) for something other than [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering) form a subquery.
 Nested rollup functions can be implicit thanks to the [implicit query conversions](#implicit-query-conversions).
 For example, `delta(sum(m))` is implicitly converted to `delta(sum(default_rollup(m))[1i:1i])`, so it becomes a subquery,
 since it contains [default_rollup](#default_rollup) nested into [delta](#delta).
@@ -2219,19 +2219,19 @@ VictoriaMetrics performs subqueries in the following way:
   For example, for expression `max_over_time(rate(http_requests_total[5m])[1h:30s])` the inner function `rate(http_requests_total[5m])`
   is calculated with `step=30s`. The resulting data points are aligned by the `step`.
 * It calculates the outer rollup function over the results of the inner rollup function using the `step` value
-  passed by Grafana to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query).
+  passed by Grafana to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query).
 
 ## Implicit query conversions
 
 VictoriaMetrics performs the following implicit conversions for incoming queries before starting the calculations:
 
 * If lookbehind window in square brackets is missing inside [rollup function](#rollup-functions), then it is automatically set to the following value:
-  - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query)
+  - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query)
     for all the [rollup functions](#rollup-functions) except of [default_rollup](#default_rollup) and [rate](#rate). This value is known as `$__interval` in Grafana or `1i` in MetricsQL.
     For example, `avg_over_time(temperature)` is automatically transformed to `avg_over_time(temperature[1i])`.
   - To the `max(step, scrape_interval)`, where `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
     for [default_rollup](#default_rollup) and [rate](#rate) functions. This allows avoiding unexpected gaps on the graph when `step` is smaller than `scrape_interval`.
-* All the [series selectors](https://docs.victoriametrics.com/keyConcepts.html#filtering),
+* All the [series selectors](https://docs.victoriametrics.com/keyconcepts/#filtering),
   which aren't wrapped into [rollup functions](#rollup-functions), are automatically wrapped into [default_rollup](#default_rollup) function.
   Examples:
   * `foo` is transformed to `default_rollup(foo)`
@@ -2242,6 +2242,6 @@ VictoriaMetrics performs the following implicit conversions for incoming queries
     it is [transform function](#transform-functions)
 * If `step` in square brackets is missing inside [subquery](#subqueries), then `1i` step is automatically added there.
   For example, `avg_over_time(rate(http_requests_total[5m])[1h])` is automatically converted to `avg_over_time(rate(http_requests_total[5m])[1h:1i])`.
-* If something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering)
+* If something other than [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering)
   is passed to [rollup function](#rollup-functions), then a [subquery](#subqueries) with `1i` lookbehind window and `1i` step is automatically formed.
   For example, `rate(sum(up))` is automatically converted to `rate((sum(default_rollup(up)))[1i:1i])`.

app/vmagent/README.md

@@ -1,3 +1,3 @@
-See vmagent docs [here](https://docs.victoriametrics.com/vmagent.html).
+See vmagent docs [here](https://docs.victoriametrics.com/vmagent/).
 
-vmagent docs can be edited at [docs/vmagent.md](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/docs/vmagent.md).
+vmagent docs can be edited at [docs/vmagent.md](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/docs/vmagent.md).

app/vmagent/common/push_ctx.go

@@ -3,13 +3,15 @@ package common
 import (
 	"sync"
 
-	"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/promrelabel"
 )
 
 // PushCtx is a context used for populating WriteRequest.
 type PushCtx struct {
+	// WriteRequest contains the WriteRequest, which must be pushed later to remote storage.
+	//
+	// The actual labels and samples for the time series are stored in Labels and Samples fields.
 	WriteRequest prompbmarshal.WriteRequest
 
 	// Labels contains flat list of all the labels used in WriteRequest.
@@ -21,13 +23,7 @@ type PushCtx struct {
 
 // Reset resets ctx.
 func (ctx *PushCtx) Reset() {
-	tss := ctx.WriteRequest.Timeseries
-	for i := range tss {
-		ts := &tss[i]
-		ts.Labels = nil
-		ts.Samples = nil
-	}
-	ctx.WriteRequest.Timeseries = ctx.WriteRequest.Timeseries[:0]
+	ctx.WriteRequest.Reset()
 
 	promrelabel.CleanLabels(ctx.Labels)
 	ctx.Labels = ctx.Labels[:0]
@@ -39,15 +35,10 @@ func (ctx *PushCtx) Reset() {
 //
 // Call PutPushCtx when the ctx is no longer needed.
 func GetPushCtx() *PushCtx {
-	select {
-	case ctx := <-pushCtxPoolCh:
-		return ctx
-	default:
-		if v := pushCtxPool.Get(); v != nil {
-			return v.(*PushCtx)
-		}
-		return &PushCtx{}
+	if v := pushCtxPool.Get(); v != nil {
+		return v.(*PushCtx)
 	}
+	return &PushCtx{}
 }
 
 // PutPushCtx returns ctx to the pool.
@@ -55,12 +46,7 @@ func GetPushCtx() *PushCtx {
 // ctx mustn't be used after returning to the pool.
 func PutPushCtx(ctx *PushCtx) {
 	ctx.Reset()
-	select {
-	case pushCtxPoolCh <- ctx:
-	default:
-		pushCtxPool.Put(ctx)
-	}
+	pushCtxPool.Put(ctx)
 }
 
 var pushCtxPool sync.Pool
-var pushCtxPoolCh = make(chan *PushCtx, cgroup.AvailableCPUs())

app/vmagent/influx/request_handler.go

@@ -10,7 +10,6 @@ import (
 	"github.com/VictoriaMetrics/VictoriaMetrics/app/vmagent/remotewrite"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/auth"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
-	"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/promrelabel"
 	parserCommon "github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/common"
@@ -160,25 +159,15 @@ func (ctx *pushCtx) reset() {
 }
 
 func getPushCtx() *pushCtx {
-	select {
-	case ctx := <-pushCtxPoolCh:
-		return ctx
-	default:
-		if v := pushCtxPool.Get(); v != nil {
-			return v.(*pushCtx)
-		}
-		return &pushCtx{}
+	if v := pushCtxPool.Get(); v != nil {
+		return v.(*pushCtx)
 	}
+	return &pushCtx{}
 }
 
 func putPushCtx(ctx *pushCtx) {
 	ctx.reset()
-	select {
-	case pushCtxPoolCh <- ctx:
-	default:
-		pushCtxPool.Put(ctx)
-	}
+	pushCtxPool.Put(ctx)
 }
 
 var pushCtxPool sync.Pool
-var pushCtxPoolCh = make(chan *pushCtx, cgroup.AvailableCPUs())

app/vmagent/main.go

@@ -225,7 +225,7 @@ func requestHandler(w http.ResponseWriter, r *http.Request) bool {
 		}
 		w.Header().Add("Content-Type", "text/html; charset=utf-8")
 		fmt.Fprintf(w, "<h2>vmagent</h2>")
-		fmt.Fprintf(w, "See docs at <a href='https://docs.victoriametrics.com/vmagent.html'>https://docs.victoriametrics.com/vmagent.html</a></br>")
+		fmt.Fprintf(w, "See docs at <a href='https://docs.victoriametrics.com/vmagent/'>https://docs.victoriametrics.com/vmagent/</a></br>")
 		fmt.Fprintf(w, "Useful endpoints:</br>")
 		httpserver.WriteAPIHelp(w, [][2]string{
 			{"targets", "status for discovered active targets"},
@@ -718,7 +718,7 @@ func usage() {
 	const s = `
 vmagent collects metrics data via popular data ingestion protocols and routes it to VictoriaMetrics.
 
-See the docs at https://docs.victoriametrics.com/vmagent.html .
+See the docs at https://docs.victoriametrics.com/vmagent/ .
 `
 	flagutil.Usage(s)
 }

app/vmagent/remotewrite/client.go

@@ -25,9 +25,9 @@ import (
 
 var (
 	forcePromProto = flagutil.NewArrayBool("remoteWrite.forcePromProto", "Whether to force Prometheus remote write protocol for sending data "+
-		"to the corresponding -remoteWrite.url . See https://docs.victoriametrics.com/vmagent.html#victoriametrics-remote-write-protocol")
+		"to the corresponding -remoteWrite.url . See https://docs.victoriametrics.com/vmagent/#victoriametrics-remote-write-protocol")
 	forceVMProto = flagutil.NewArrayBool("remoteWrite.forceVMProto", "Whether to force VictoriaMetrics remote write protocol for sending data "+
-		"to the corresponding -remoteWrite.url . See https://docs.victoriametrics.com/vmagent.html#victoriametrics-remote-write-protocol")
+		"to the corresponding -remoteWrite.url . See https://docs.victoriametrics.com/vmagent/#victoriametrics-remote-write-protocol")
 
 	rateLimit = flagutil.NewArrayInt("remoteWrite.rateLimit", 0, "Optional rate limit in bytes per second for data sent to the corresponding -remoteWrite.url. "+
 		"By default, the rate limit is disabled. It can be useful for limiting load on remote storage when big amounts of buffered data "+
@@ -164,7 +164,7 @@ func newHTTPClient(argIdx int, remoteWriteURL, sanitizedURL string, fq *persiste
 		useVMProto = common.HandleVMProtoClientHandshake(c.remoteWriteURL, doRequest)
 		if !useVMProto {
 			logger.Infof("the remote storage at %q doesn't support VictoriaMetrics remote write protocol. Switching to Prometheus remote write protocol. "+
-				"See https://docs.victoriametrics.com/vmagent.html#victoriametrics-remote-write-protocol", sanitizedURL)
+				"See https://docs.victoriametrics.com/vmagent/#victoriametrics-remote-write-protocol", sanitizedURL)
 		}
 	}
 	c.useVMProto = useVMProto

app/vmagent/remotewrite/pendingseries.go

@@ -28,7 +28,7 @@ var (
 	maxRowsPerBlock      = flag.Int("remoteWrite.maxRowsPerBlock", 10000, "The maximum number of samples to send in each block to remote storage. Higher number may improve performance at the cost of the increased memory usage. See also -remoteWrite.maxBlockSize")
 	vmProtoCompressLevel = flag.Int("remoteWrite.vmProtoCompressLevel", 0, "The compression level for VictoriaMetrics remote write protocol. "+
 		"Higher values reduce network traffic at the cost of higher CPU usage. Negative values reduce CPU usage at the cost of increased network traffic. "+
-		"See https://docs.victoriametrics.com/vmagent.html#victoriametrics-remote-write-protocol")
+		"See https://docs.victoriametrics.com/vmagent/#victoriametrics-remote-write-protocol")
 )
 
 type pendingSeries struct {
@@ -122,11 +122,7 @@ func (wr *writeRequest) reset() {
 
 	wr.wr.Timeseries = nil
 
-	for i := range wr.tss {
-		ts := &wr.tss[i]
-		ts.Labels = nil
-		ts.Samples = nil
-	}
+	clear(wr.tss)
 	wr.tss = wr.tss[:0]
 
 	promrelabel.CleanLabels(wr.labels)

app/vmagent/remotewrite/relabel.go

@@ -19,10 +19,10 @@ var (
 	relabelConfigPathGlobal = flag.String("remoteWrite.relabelConfig", "", "Optional path to file with relabeling configs, which are applied "+
 		"to all the metrics before sending them to -remoteWrite.url. See also -remoteWrite.urlRelabelConfig. "+
 		"The path can point either to local file or to http url. "+
-		"See https://docs.victoriametrics.com/vmagent.html#relabeling")
+		"See https://docs.victoriametrics.com/vmagent/#relabeling")
 	relabelConfigPaths = flagutil.NewArrayString("remoteWrite.urlRelabelConfig", "Optional path to relabel configs for the corresponding -remoteWrite.url. "+
 		"See also -remoteWrite.relabelConfig. The path can point either to local file or to http url. "+
-		"See https://docs.victoriametrics.com/vmagent.html#relabeling")
+		"See https://docs.victoriametrics.com/vmagent/#relabeling")
 
 	usePromCompatibleNaming = flag.Bool("usePromCompatibleNaming", false, "Whether to replace characters unsupported by Prometheus with underscores "+
 		"in the ingested metric names and label names. For example, foo.bar{a.b='c'} is transformed into foo_bar{a_b='c'} during data ingestion if this flag is set. "+

app/vmagent/remotewrite/remotewrite.go

@@ -40,21 +40,26 @@ var (
 		"Pass multiple -remoteWrite.url options in order to replicate the collected data to multiple remote storage systems. "+
 		"The data can be sharded among the configured remote storage systems if -remoteWrite.shardByURL flag is set")
 	remoteWriteMultitenantURLs = flagutil.NewArrayString("remoteWrite.multitenantURL", "Base path for multitenant remote storage URL to write data to. "+
-		"See https://docs.victoriametrics.com/vmagent.html#multitenancy for details. Example url: http://<vminsert>:8480 . "+
+		"See https://docs.victoriametrics.com/vmagent/#multitenancy for details. Example url: http://<vminsert>:8480 . "+
 		"Pass multiple -remoteWrite.multitenantURL flags in order to replicate data to multiple remote storage systems. "+
-		"This flag is deprecated in favor of -enableMultitenantHandlers . See https://docs.victoriametrics.com/vmagent.html#multitenancy")
+		"This flag is deprecated in favor of -enableMultitenantHandlers . See https://docs.victoriametrics.com/vmagent/#multitenancy")
 	enableMultitenantHandlers = flag.Bool("enableMultitenantHandlers", false, "Whether to process incoming data via multitenant insert handlers according to "+
-		"https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#url-format . By default incoming data is processed via single-node insert handlers "+
+		"https://docs.victoriametrics.com/cluster-victoriametrics/#url-format . By default incoming data is processed via single-node insert handlers "+
 		"according to https://docs.victoriametrics.com/#how-to-import-time-series-data ."+
-		"See https://docs.victoriametrics.com/vmagent.html#multitenancy for details")
+		"See https://docs.victoriametrics.com/vmagent/#multitenancy for details")
+
 	shardByURL = flag.Bool("remoteWrite.shardByURL", false, "Whether to shard outgoing series across all the remote storage systems enumerated via -remoteWrite.url . "+
-		"By default the data is replicated across all the -remoteWrite.url . See https://docs.victoriametrics.com/vmagent.html#sharding-among-remote-storages")
+		"By default the data is replicated across all the -remoteWrite.url . See https://docs.victoriametrics.com/vmagent/#sharding-among-remote-storages . "+
+		"See also -remoteWrite.shardByURLReplicas")
+	shardByURLReplicas = flag.Int("remoteWrite.shardByURLReplicas", 1, "How many copies of data to make among remote storage systems enumerated via -remoteWrite.url "+
+		"when -remoteWrite.shardByURL is set. See https://docs.victoriametrics.com/vmagent/#sharding-among-remote-storages")
 	shardByURLLabels = flagutil.NewArrayString("remoteWrite.shardByURL.labels", "Optional list of labels, which must be used for sharding outgoing samples "+
 		"among remote storage systems if -remoteWrite.shardByURL command-line flag is set. By default all the labels are used for sharding in order to gain "+
 		"even distribution of series over the specified -remoteWrite.url systems. See also -remoteWrite.shardByURL.ignoreLabels")
 	shardByURLIgnoreLabels = flagutil.NewArrayString("remoteWrite.shardByURL.ignoreLabels", "Optional list of labels, which must be ignored when sharding outgoing samples "+
 		"among remote storage systems if -remoteWrite.shardByURL command-line flag is set. By default all the labels are used for sharding in order to gain "+
 		"even distribution of series over the specified -remoteWrite.url systems. See also -remoteWrite.shardByURL.labels")
+
 	tmpDataPath = flag.String("remoteWrite.tmpDataPath", "vmagent-remotewrite-data", "Path to directory for storing pending data, which isn't sent to the configured -remoteWrite.url . "+
 		"See also -remoteWrite.maxDiskUsagePerURL and -remoteWrite.disableOnDiskQueue")
 	keepDanglingQueues = flag.Bool("remoteWrite.keepDanglingQueues", false, "Keep persistent queues contents at -remoteWrite.tmpDataPath in case there are no matching -remoteWrite.url. "+
@@ -81,33 +86,35 @@ var (
 		`For example, if m{k1="v1",k2="v2"} may be sent as m{k2="v2",k1="v1"}`+
 		`Enabled sorting for labels can slow down ingestion performance a bit`)
 	maxHourlySeries = flag.Int("remoteWrite.maxHourlySeries", 0, "The maximum number of unique series vmagent can send to remote storage systems during the last hour. "+
-		"Excess series are logged and dropped. This can be useful for limiting series cardinality. See https://docs.victoriametrics.com/vmagent.html#cardinality-limiter")
+		"Excess series are logged and dropped. This can be useful for limiting series cardinality. See https://docs.victoriametrics.com/vmagent/#cardinality-limiter")
 	maxDailySeries = flag.Int("remoteWrite.maxDailySeries", 0, "The maximum number of unique series vmagent can send to remote storage systems during the last 24 hours. "+
-		"Excess series are logged and dropped. This can be useful for limiting series churn rate. See https://docs.victoriametrics.com/vmagent.html#cardinality-limiter")
+		"Excess series are logged and dropped. This can be useful for limiting series churn rate. See https://docs.victoriametrics.com/vmagent/#cardinality-limiter")
 	maxIngestionRate = flag.Int("maxIngestionRate", 0, "The maximum number of samples vmagent can receive per second. Data ingestion is paused when the limit is exceeded. "+
 		"By default there are no limits on samples ingestion rate. See also -remoteWrite.rateLimit")
 
 	streamAggrConfig = flagutil.NewArrayString("remoteWrite.streamAggr.config", "Optional path to file with stream aggregation config. "+
-		"See https://docs.victoriametrics.com/stream-aggregation.html . "+
+		"See https://docs.victoriametrics.com/stream-aggregation/ . "+
 		"See also -remoteWrite.streamAggr.keepInput, -remoteWrite.streamAggr.dropInput and -remoteWrite.streamAggr.dedupInterval")
 	streamAggrKeepInput = flagutil.NewArrayBool("remoteWrite.streamAggr.keepInput", "Whether to keep all the input samples after the aggregation "+
 		"with -remoteWrite.streamAggr.config. By default, only aggregates samples are dropped, while the remaining samples "+
-		"are written to the corresponding -remoteWrite.url . See also -remoteWrite.streamAggr.dropInput and https://docs.victoriametrics.com/stream-aggregation.html")
+		"are written to the corresponding -remoteWrite.url . See also -remoteWrite.streamAggr.dropInput and https://docs.victoriametrics.com/stream-aggregation/")
 	streamAggrDropInput = flagutil.NewArrayBool("remoteWrite.streamAggr.dropInput", "Whether to drop all the input samples after the aggregation "+
 		"with -remoteWrite.streamAggr.config. By default, only aggregates samples are dropped, while the remaining samples "+
-		"are written to the corresponding -remoteWrite.url . See also -remoteWrite.streamAggr.keepInput and https://docs.victoriametrics.com/stream-aggregation.html")
+		"are written to the corresponding -remoteWrite.url . See also -remoteWrite.streamAggr.keepInput and https://docs.victoriametrics.com/stream-aggregation/")
 	streamAggrDedupInterval = flagutil.NewArrayDuration("remoteWrite.streamAggr.dedupInterval", 0, "Input samples are de-duplicated with this interval before optional aggregation "+
-		"with -remoteWrite.streamAggr.config . See also -dedup.minScrapeInterval and https://docs.victoriametrics.com/stream-aggregation.html#deduplication")
+		"with -remoteWrite.streamAggr.config . See also -dedup.minScrapeInterval and https://docs.victoriametrics.com/stream-aggregation/#deduplication")
 	streamAggrIgnoreOldSamples = flagutil.NewArrayBool("remoteWrite.streamAggr.ignoreOldSamples", "Whether to ignore input samples with old timestamps outside the current aggregation interval "+
-		"for the corresponding -remoteWrite.streamAggr.config . See https://docs.victoriametrics.com/stream-aggregation.html#ignoring-old-samples")
+		"for the corresponding -remoteWrite.streamAggr.config . See https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples")
+	streamAggrIgnoreFirstIntervals = flag.Int("remoteWrite.streamAggr.ignoreFirstIntervals", 0, "Number of aggregation intervals to skip after the start. Increase this value if you observe incorrect aggregation results after vmagent restarts. It could be caused by receiving unordered delayed data from clients pushing data into the vmagent. "+
+		"See https://docs.victoriametrics.com/stream-aggregation/#ignore-aggregation-intervals-on-start")
 	streamAggrDropInputLabels = flagutil.NewArrayString("streamAggr.dropInputLabels", "An optional list of labels to drop from samples "+
-		"before stream de-duplication and aggregation . See https://docs.victoriametrics.com/stream-aggregation.html#dropping-unneeded-labels")
+		"before stream de-duplication and aggregation . See https://docs.victoriametrics.com/stream-aggregation/#dropping-unneeded-labels")
 
 	disableOnDiskQueue = flag.Bool("remoteWrite.disableOnDiskQueue", false, "Whether to disable storing pending data to -remoteWrite.tmpDataPath "+
-		"when the configured remote storage systems cannot keep up with the data ingestion rate. See https://docs.victoriametrics.com/vmagent.html#disabling-on-disk-persistence ."+
+		"when the configured remote storage systems cannot keep up with the data ingestion rate. See https://docs.victoriametrics.com/vmagent/#disabling-on-disk-persistence ."+
 		"See also -remoteWrite.dropSamplesOnOverload")
 	dropSamplesOnOverload = flag.Bool("remoteWrite.dropSamplesOnOverload", false, "Whether to drop samples when -remoteWrite.disableOnDiskQueue is set and if the samples "+
-		"cannot be pushed into the configured remote storage systems in a timely manner. See https://docs.victoriametrics.com/vmagent.html#disabling-on-disk-persistence")
+		"cannot be pushed into the configured remote storage systems in a timely manner. See https://docs.victoriametrics.com/vmagent/#disabling-on-disk-persistence")
 )
 
 var (
@@ -125,7 +132,7 @@ var (
 	ErrQueueFullHTTPRetry = &httpserver.ErrorWithStatusCode{
 		Err: fmt.Errorf("remote storage systems cannot keep up with the data ingestion rate; retry the request later " +
 			"or remove -remoteWrite.disableOnDiskQueue from vmagent command-line flags, so it could save pending data to -remoteWrite.tmpDataPath; " +
-			"see https://docs.victoriametrics.com/vmagent.html#disabling-on-disk-persistence"),
+			"see https://docs.victoriametrics.com/vmagent/#disabling-on-disk-persistence"),
 		StatusCode: http.StatusTooManyRequests,
 	}
 )
@@ -252,6 +259,9 @@ func dropDanglingQueues() {
 	// This is required for the case when the number of queues has been changed or URL have been changed.
 	// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4014
 	//
+	// In case if there were many persistent queues with identical *remoteWriteURLs
+	// the queue with the last index will be dropped.
+	// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6140
 	existingQueues := make(map[string]struct{}, len(rwctxsDefault))
 	for _, rwctx := range rwctxsDefault {
 		existingQueues[rwctx.fq.Dirname()] = struct{}{}
@@ -338,7 +348,7 @@ func newRemoteWriteCtxs(at *auth.Token, urls []string) []*remoteWriteCtx {
 		}
 		sanitizedURL := fmt.Sprintf("%d:secret-url", i+1)
 		if at != nil {
-			// Construct full remote_write url for the given tenant according to https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#url-format
+			// Construct full remote_write url for the given tenant according to https://docs.victoriametrics.com/cluster-victoriametrics/#url-format
 			remoteWriteURL.Path = fmt.Sprintf("%s/insert/%d:%d/prometheus/api/v1/write", remoteWriteURL.Path, at.AccountID, at.ProjectID)
 			sanitizedURL = fmt.Sprintf("%s:%d:%d", sanitizedURL, at.AccountID, at.ProjectID)
 		}
@@ -562,58 +572,17 @@ func tryPushBlockToRemoteStorages(rwctxs []*remoteWriteCtx, tssBlock []prompbmar
 
 	// We need to push tssBlock to multiple remote storages.
 	// This is either sharding or replication depending on -remoteWrite.shardByURL command-line flag value.
-	if *shardByURL {
-		// Shard the data among rwctxs
-		tssByURL := make([][]prompbmarshal.TimeSeries, len(rwctxs))
-		tmpLabels := promutils.GetLabels()
-		for _, ts := range tssBlock {
-			hashLabels := ts.Labels
-			if len(shardByURLLabelsMap) > 0 {
-				hashLabels = tmpLabels.Labels[:0]
-				for _, label := range ts.Labels {
-					if _, ok := shardByURLLabelsMap[label.Name]; ok {
-						hashLabels = append(hashLabels, label)
-					}
-				}
-				tmpLabels.Labels = hashLabels
-			} else if len(shardByURLIgnoreLabelsMap) > 0 {
-				hashLabels = tmpLabels.Labels[:0]
-				for _, label := range ts.Labels {
-					if _, ok := shardByURLIgnoreLabelsMap[label.Name]; !ok {
-						hashLabels = append(hashLabels, label)
-					}
-				}
-				tmpLabels.Labels = hashLabels
-			}
-			h := getLabelsHash(hashLabels)
-			idx := h % uint64(len(tssByURL))
-			tssByURL[idx] = append(tssByURL[idx], ts)
+	if *shardByURL && *shardByURLReplicas < len(rwctxs) {
+		// Shard tssBlock samples among rwctxs.
+		replicas := *shardByURLReplicas
+		if replicas <= 0 {
+			replicas = 1
 		}
-		promutils.PutLabels(tmpLabels)
-
-		// Push sharded data to remote storages in parallel in order to reduce
-		// the time needed for sending the data to multiple remote storage systems.
-		var wg sync.WaitGroup
-		var anyPushFailed atomic.Bool
-		for i, rwctx := range rwctxs {
-			tssShard := tssByURL[i]
-			if len(tssShard) == 0 {
-				continue
-			}
-			wg.Add(1)
-			go func(rwctx *remoteWriteCtx, tss []prompbmarshal.TimeSeries) {
-				defer wg.Done()
-				if !rwctx.TryPush(tss) {
-					anyPushFailed.Store(true)
-				}
-			}(rwctx, tssShard)
-		}
-		wg.Wait()
-		return !anyPushFailed.Load()
+		return tryShardingBlockAmongRemoteStorages(rwctxs, tssBlock, replicas)
 	}
 
-	// Replicate data among rwctxs.
-	// Push block to remote storages in parallel in order to reduce
+	// Replicate tssBlock samples among rwctxs.
+	// Push tssBlock to remote storage systems in parallel in order to reduce
 	// the time needed for sending the data to multiple remote storage systems.
 	var wg sync.WaitGroup
 	wg.Add(len(rwctxs))
@@ -630,6 +599,97 @@ func tryPushBlockToRemoteStorages(rwctxs []*remoteWriteCtx, tssBlock []prompbmar
 	return !anyPushFailed.Load()
 }
 
+func tryShardingBlockAmongRemoteStorages(rwctxs []*remoteWriteCtx, tssBlock []prompbmarshal.TimeSeries, replicas int) bool {
+	x := getTSSShards(len(rwctxs))
+	defer putTSSShards(x)
+
+	shards := x.shards
+	tmpLabels := promutils.GetLabels()
+	for _, ts := range tssBlock {
+		hashLabels := ts.Labels
+		if len(shardByURLLabelsMap) > 0 {
+			hashLabels = tmpLabels.Labels[:0]
+			for _, label := range ts.Labels {
+				if _, ok := shardByURLLabelsMap[label.Name]; ok {
+					hashLabels = append(hashLabels, label)
+				}
+			}
+			tmpLabels.Labels = hashLabels
+		} else if len(shardByURLIgnoreLabelsMap) > 0 {
+			hashLabels = tmpLabels.Labels[:0]
+			for _, label := range ts.Labels {
+				if _, ok := shardByURLIgnoreLabelsMap[label.Name]; !ok {
+					hashLabels = append(hashLabels, label)
+				}
+			}
+			tmpLabels.Labels = hashLabels
+		}
+		h := getLabelsHash(hashLabels)
+		idx := h % uint64(len(shards))
+		i := 0
+		for {
+			shards[idx] = append(shards[idx], ts)
+			i++
+			if i >= replicas {
+				break
+			}
+			idx++
+			if idx >= uint64(len(shards)) {
+				idx = 0
+			}
+		}
+	}
+	promutils.PutLabels(tmpLabels)
+
+	// Push sharded samples to remote storage systems in parallel in order to reduce
+	// the time needed for sending the data to multiple remote storage systems.
+	var wg sync.WaitGroup
+	var anyPushFailed atomic.Bool
+	for i, rwctx := range rwctxs {
+		shard := shards[i]
+		if len(shard) == 0 {
+			continue
+		}
+		wg.Add(1)
+		go func(rwctx *remoteWriteCtx, tss []prompbmarshal.TimeSeries) {
+			defer wg.Done()
+			if !rwctx.TryPush(tss) {
+				anyPushFailed.Store(true)
+			}
+		}(rwctx, shard)
+	}
+	wg.Wait()
+	return !anyPushFailed.Load()
+}
+
+type tssShards struct {
+	shards [][]prompbmarshal.TimeSeries
+}
+
+func getTSSShards(n int) *tssShards {
+	v := tssShardsPool.Get()
+	if v == nil {
+		v = &tssShards{}
+	}
+	x := v.(*tssShards)
+	if cap(x.shards) < n {
+		x.shards = make([][]prompbmarshal.TimeSeries, n)
+	}
+	x.shards = x.shards[:n]
+	return x
+}
+
+func putTSSShards(x *tssShards) {
+	shards := x.shards
+	for i := range shards {
+		clear(shards[i])
+		shards[i] = shards[i][:0]
+	}
+	tssShardsPool.Put(x)
+}
+
+var tssShardsPool sync.Pool
+
 // sortLabelsIfNeeded sorts labels if -sortLabels command-line flag is set.
 func sortLabelsIfNeeded(tss []prompbmarshal.TimeSeries) {
 	if !*sortLabels {
@@ -802,9 +862,10 @@ func newRemoteWriteCtx(argIdx int, remoteWriteURL *url.URL, maxInmemoryBlocks in
 	ignoreOldSamples := streamAggrIgnoreOldSamples.GetOptionalArg(argIdx)
 	if sasFile != "" {
 		opts := &streamaggr.Options{
-			DedupInterval:    dedupInterval,
-			DropInputLabels:  *streamAggrDropInputLabels,
-			IgnoreOldSamples: ignoreOldSamples,
+			DedupInterval:        dedupInterval,
+			DropInputLabels:      *streamAggrDropInputLabels,
+			IgnoreOldSamples:     ignoreOldSamples,
+			IgnoreFirstIntervals: *streamAggrIgnoreFirstIntervals,
 		}
 		sas, err := streamaggr.LoadFromFile(sasFile, rwctx.pushInternalTrackDropped, opts)
 		if err != nil {

app/vmagent/remotewrite/remotewrite_test.go

@@ -0,0 +1,48 @@
+package remotewrite
+
+import (
+	"fmt"
+	"math"
+	"testing"
+
+	"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
+)
+
+func TestGetLabelsHash_Distribution(t *testing.T) {
+	f := func(bucketsCount int) {
+		t.Helper()
+
+		// Distribute itemsCount hashes returned by getLabelsHash() across bucketsCount buckets.
+		itemsCount := 1_000 * bucketsCount
+		m := make([]int, bucketsCount)
+		var labels []prompbmarshal.Label
+		for i := 0; i < itemsCount; i++ {
+			labels = append(labels[:0], prompbmarshal.Label{
+				Name:  "__name__",
+				Value: fmt.Sprintf("some_name_%d", i),
+			})
+			for j := 0; j < 10; j++ {
+				labels = append(labels, prompbmarshal.Label{
+					Name:  fmt.Sprintf("label_%d", j),
+					Value: fmt.Sprintf("value_%d_%d", i, j),
+				})
+			}
+			h := getLabelsHash(labels)
+			m[h%uint64(bucketsCount)]++
+		}
+
+		// Verify that the distribution is even
+		expectedItemsPerBucket := itemsCount / bucketsCount
+		for _, n := range m {
+			if math.Abs(1-float64(n)/float64(expectedItemsPerBucket)) > 0.04 {
+				t.Fatalf("unexpected items in the bucket for %d buckets; got %d; want around %d", bucketsCount, n, expectedItemsPerBucket)
+			}
+		}
+	}
+
+	f(2)
+	f(3)
+	f(4)
+	f(5)
+	f(10)
+}

app/vmagent/remotewrite/statconn.go

@@ -3,34 +3,15 @@ package remotewrite
 import (
 	"context"
 	"net"
-	"sync"
 	"sync/atomic"
-	"time"
 
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/netutil"
 	"github.com/VictoriaMetrics/metrics"
 )
 
-func getStdDialer() *net.Dialer {
-	stdDialerOnce.Do(func() {
-		stdDialer = &net.Dialer{
-			Timeout:   30 * time.Second,
-			KeepAlive: 30 * time.Second,
-			DualStack: netutil.TCP6Enabled(),
-		}
-	})
-	return stdDialer
-}
-
-var (
-	stdDialer     *net.Dialer
-	stdDialerOnce sync.Once
-)
-
 func statDial(ctx context.Context, _, addr string) (conn net.Conn, err error) {
 	network := netutil.GetTCPNetwork()
-	d := getStdDialer()
-	conn, err = d.DialContext(ctx, network, addr)
+	conn, err = netutil.DialMaybeSRV(ctx, network, addr)
 	dialsTotal.Inc()
 	if err != nil {
 		dialErrors.Inc()

app/vmalert/README.md

@@ -1,3 +1,3 @@
-See vmalert docs [here](https://docs.victoriametrics.com/vmalert.html).
+See vmalert docs [here](https://docs.victoriametrics.com/vmalert/).
 
 vmalert docs can be edited at [docs/vmalert.md](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/docs/vmalert.md).

app/vmalert/main.go

@@ -44,7 +44,7 @@ Enterprise version of vmalert supports S3 and GCS paths to rules.
 For example: gs://bucket/path/to/rules, s3://bucket/path/to/rules
 S3 and GCS paths support only matching by prefix, e.g. s3://bucket/dir/rule_ matches
 all files with prefix rule_ in folder dir.
-See https://docs.victoriametrics.com/vmalert.html#reading-rules-from-object-storage
+See https://docs.victoriametrics.com/vmalert/#reading-rules-from-object-storage
 `)
 
 	ruleTemplatesPath = flagutil.NewArrayString("rule.templates", `Path or glob pattern to location with go template definitions `+
@@ -71,7 +71,7 @@ absolute path to all .tpl files in root.
 	externalURL         = flag.String("external.url", "", "External URL is used as alert's source for sent alerts to the notifier. By default, hostname is used as address.")
 	externalAlertSource = flag.String("external.alert.source", "", `External Alert Source allows to override the Source link for alerts sent to AlertManager `+
 		`for cases where you want to build a custom link to Grafana, Prometheus or any other service. `+
-		`Supports templating - see https://docs.victoriametrics.com/vmalert.html#templating . `+
+		`Supports templating - see https://docs.victoriametrics.com/vmalert/#templating . `+
 		`For example, link to Grafana: -external.alert.source='explore?orgId=1&left={"datasource":"VictoriaMetrics","queries":[{"expr":{{$expr|jsonEscape|queryEscape}},"refId":"A"}],"range":{"from":"now-1h","to":"now"}}'. `+
 		`Link to VMUI: -external.alert.source='vmui/#/?g0.expr={{.Expr|queryEscape}}'. `+
 		`If empty 'vmalert/alert?group_id={{.GroupID}}&alert_id={{.AlertID}}' is used.`)
@@ -319,7 +319,7 @@ func usage() {
 	const s = `
 vmalert processes alerts and recording rules.
 
-See the docs at https://docs.victoriametrics.com/vmalert.html .
+See the docs at https://docs.victoriametrics.com/vmalert/ .
 `
 	flagutil.Usage(s)
 }

app/vmalert/rule/alerting.go

@@ -314,23 +314,20 @@ func (ar *AlertingRule) execRange(ctx context.Context, start, end time.Time) ([]
 		return nil, fmt.Errorf("`query` template isn't supported in replay mode")
 	}
 	for _, s := range res.Data {
-		ls, err := ar.toLabels(s, qFn)
+		ls, as, err := ar.expandTemplates(s, qFn, time.Time{})
 		if err != nil {
-			return nil, fmt.Errorf("failed to expand labels: %s", err)
-		}
-		h := hash(ls.processed)
-		a, err := ar.newAlert(s, nil, time.Time{}, qFn) // initial alert
-		if err != nil {
-			return nil, fmt.Errorf("failed to create alert: %w", err)
+			return nil, fmt.Errorf("failed to expand templates: %s", err)
 		}
+		alertID := hash(ls.processed)
+		a := ar.newAlert(s, time.Time{}, ls.processed, as) // initial alert
 
 		prevT := time.Time{}
 		for i := range s.Values {
 			at := time.Unix(s.Timestamps[i], 0)
 			// try to restore alert's state on the first iteration
 			if at.Equal(start) {
-				if _, ok := ar.alerts[h]; ok {
-					a = ar.alerts[h]
+				if _, ok := ar.alerts[alertID]; ok {
+					a = ar.alerts[alertID]
 					prevT = at
 				}
 			}
@@ -352,7 +349,7 @@ func (ar *AlertingRule) execRange(ctx context.Context, start, end time.Time) ([]
 
 			// save alert's state on last iteration, so it can be used on the next execRange call
 			if at.Equal(end) {
-				holdAlertState[h] = a
+				holdAlertState[alertID] = a
 			}
 		}
 	}
@@ -386,15 +383,34 @@ func (ar *AlertingRule) exec(ctx context.Context, ts time.Time, limit int) ([]pr
 		}
 	}()
 
-	ar.alertsMu.Lock()
-	defer ar.alertsMu.Unlock()
-
 	if err != nil {
 		return nil, fmt.Errorf("failed to execute query %q: %w", ar.Expr, err)
 	}
-
 	ar.logDebugf(ts, nil, "query returned %d samples (elapsed: %s)", curState.Samples, curState.Duration)
 
+	qFn := func(query string) ([]datasource.Metric, error) {
+		res, _, err := ar.q.Query(ctx, query, ts)
+		return res.Data, err
+	}
+
+	// template labels and annotations before updating ar.alerts,
+	// since they could use `query` function which takes a while to execute,
+	// see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6079.
+	expandedLabels := make([]*labelSet, len(res.Data))
+	expandedAnnotations := make([]map[string]string, len(res.Data))
+	for i, m := range res.Data {
+		ls, as, err := ar.expandTemplates(m, qFn, ts)
+		if err != nil {
+			curState.Err = fmt.Errorf("failed to expand templates: %w", err)
+			return nil, curState.Err
+		}
+		expandedLabels[i] = ls
+		expandedAnnotations[i] = as
+	}
+
+	ar.alertsMu.Lock()
+	defer ar.alertsMu.Unlock()
+
 	for h, a := range ar.alerts {
 		// cleanup inactive alerts from previous Exec
 		if a.State == notifier.StateInactive && ts.Sub(a.ResolvedAt) > resolvedRetention {
@@ -403,26 +419,18 @@ func (ar *AlertingRule) exec(ctx context.Context, ts time.Time, limit int) ([]pr
 		}
 	}
 
-	qFn := func(query string) ([]datasource.Metric, error) {
-		res, _, err := ar.q.Query(ctx, query, ts)
-		return res.Data, err
-	}
 	updated := make(map[uint64]struct{})
 	// update list of active alerts
-	for _, m := range res.Data {
-		ls, err := ar.toLabels(m, qFn)
-		if err != nil {
-			curState.Err = fmt.Errorf("failed to expand labels: %w", err)
-			return nil, curState.Err
-		}
-		h := hash(ls.processed)
-		if _, ok := updated[h]; ok {
+	for i, m := range res.Data {
+		labels, annotations := expandedLabels[i], expandedAnnotations[i]
+		alertID := hash(labels.processed)
+		if _, ok := updated[alertID]; ok {
 			// duplicate may be caused the removal of `__name__` label
-			curState.Err = fmt.Errorf("labels %v: %w", ls.processed, errDuplicate)
+			curState.Err = fmt.Errorf("labels %v: %w", labels.processed, errDuplicate)
 			return nil, curState.Err
 		}
-		updated[h] = struct{}{}
-		if a, ok := ar.alerts[h]; ok {
+		updated[alertID] = struct{}{}
+		if a, ok := ar.alerts[alertID]; ok {
 			if a.State == notifier.StateInactive {
 				// alert could be in inactive state for resolvedRetention
 				// so when we again receive metrics for it - we switch it
@@ -432,22 +440,17 @@ func (ar *AlertingRule) exec(ctx context.Context, ts time.Time, limit int) ([]pr
 				ar.logDebugf(ts, a, "INACTIVE => PENDING")
 			}
 			a.Value = m.Values[0]
-			// re-exec template since Value or query can be used in annotations
-			a.Annotations, err = a.ExecTemplate(qFn, ls.origin, ar.Annotations)
+			a.Annotations = annotations
 			if err != nil {
 				return nil, err
 			}
 			a.KeepFiringSince = time.Time{}
 			continue
 		}
-		a, err := ar.newAlert(m, ls, ts, qFn)
-		if err != nil {
-			curState.Err = fmt.Errorf("failed to create alert: %w", err)
-			return nil, curState.Err
-		}
-		a.ID = h
+		a := ar.newAlert(m, ts, labels.processed, annotations)
+		a.ID = alertID
 		a.State = notifier.StatePending
-		ar.alerts[h] = a
+		ar.alerts[alertID] = a
 		ar.logDebugf(ts, a, "created in state PENDING")
 	}
 	var numActivePending int
@@ -497,6 +500,28 @@ func (ar *AlertingRule) exec(ctx context.Context, ts time.Time, limit int) ([]pr
 	return ar.toTimeSeries(ts.Unix()), nil
 }
 
+func (ar *AlertingRule) expandTemplates(m datasource.Metric, qFn templates.QueryFn, ts time.Time) (*labelSet, map[string]string, error) {
+	ls, err := ar.toLabels(m, qFn)
+	if err != nil {
+		return nil, nil, fmt.Errorf("failed to expand labels: %w", err)
+	}
+
+	tplData := notifier.AlertTplData{
+		Value:    m.Values[0],
+		Labels:   ls.origin,
+		Expr:     ar.Expr,
+		AlertID:  hash(ls.processed),
+		GroupID:  ar.GroupID,
+		ActiveAt: ts,
+		For:      ar.For,
+	}
+	as, err := notifier.ExecTemplate(qFn, ar.Annotations, tplData)
+	if err != nil {
+		return nil, nil, fmt.Errorf("failed to template annotations: %w", err)
+	}
+	return ls, as, nil
+}
+
 func (ar *AlertingRule) toTimeSeries(timestamp int64) []prompbmarshal.TimeSeries {
 	var tss []prompbmarshal.TimeSeries
 	for _, a := range ar.alerts {
@@ -530,25 +555,25 @@ func hash(labels map[string]string) uint64 {
 	return hash.Sum64()
 }
 
-func (ar *AlertingRule) newAlert(m datasource.Metric, ls *labelSet, start time.Time, qFn templates.QueryFn) (*notifier.Alert, error) {
-	var err error
-	if ls == nil {
-		ls, err = ar.toLabels(m, qFn)
-		if err != nil {
-			return nil, fmt.Errorf("failed to expand labels: %w", err)
-		}
+func (ar *AlertingRule) newAlert(m datasource.Metric, start time.Time, labels, annotations map[string]string) *notifier.Alert {
+	as := make(map[string]string)
+	if annotations != nil {
+		as = annotations
 	}
-	a := &notifier.Alert{
-		GroupID:  ar.GroupID,
-		Name:     ar.Name,
-		Labels:   ls.processed,
-		Value:    m.Values[0],
-		ActiveAt: start,
-		Expr:     ar.Expr,
-		For:      ar.For,
+	ls := make(map[string]string)
+	if labels != nil {
+		ls = labels
+	}
+	return &notifier.Alert{
+		GroupID:     ar.GroupID,
+		Name:        ar.Name,
+		Expr:        ar.Expr,
+		For:         ar.For,
+		ActiveAt:    start,
+		Value:       m.Values[0],
+		Labels:      ls,
+		Annotations: as,
 	}
-	a.Annotations, err = a.ExecTemplate(qFn, ls.origin, ar.Annotations)
-	return a, err
 }
 
 const (
@@ -604,9 +629,6 @@ func (ar *AlertingRule) restore(ctx context.Context, q datasource.Querier, ts ti
 		return nil
 	}
 
-	ar.alertsMu.Lock()
-	defer ar.alertsMu.Unlock()
-
 	if len(ar.alerts) < 1 {
 		return nil
 	}
@@ -631,6 +653,10 @@ func (ar *AlertingRule) restore(ctx context.Context, q datasource.Querier, ts ti
 		ar.logDebugf(ts, nil, "no response was received from restore query")
 		return nil
 	}
+
+	ar.alertsMu.Lock()
+	defer ar.alertsMu.Unlock()
+
 	for _, series := range res.Data {
 		series.DelLabel("__name__")
 		labelSet := make(map[string]string, len(series.Labels))

app/vmalert/rule/group_test.go

@@ -217,20 +217,21 @@ func TestGroupStart(t *testing.T) {
 
 	const evalInterval = time.Millisecond
 	g := NewGroup(groups[0], fs, evalInterval, map[string]string{"cluster": "east-1"})
-	g.Concurrency = 2
 
 	const inst1, inst2, job = "foo", "bar", "baz"
 	m1 := metricWithLabels(t, "instance", inst1, "job", job)
 	m2 := metricWithLabels(t, "instance", inst2, "job", job)
 
 	r := g.Rules[0].(*AlertingRule)
-	alert1, err := r.newAlert(m1, nil, time.Now(), nil)
-	if err != nil {
-		t.Fatalf("faield to create alert: %s", err)
-	}
+	alert1 := r.newAlert(m1, time.Now(), nil, nil)
 	alert1.State = notifier.StateFiring
+	// add annotations
+	alert1.Annotations["summary"] = "1"
 	// add external label
 	alert1.Labels["cluster"] = "east-1"
+	// add labels from response
+	alert1.Labels["job"] = job
+	alert1.Labels["instance"] = inst1
 	// add rule labels
 	alert1.Labels["label"] = "bar"
 	alert1.Labels["host"] = inst1
@@ -239,13 +240,15 @@ func TestGroupStart(t *testing.T) {
 	alert1.Labels[alertGroupNameLabel] = g.Name
 	alert1.ID = hash(alert1.Labels)
 
-	alert2, err := r.newAlert(m2, nil, time.Now(), nil)
-	if err != nil {
-		t.Fatalf("faield to create alert: %s", err)
-	}
+	alert2 := r.newAlert(m2, time.Now(), nil, nil)
 	alert2.State = notifier.StateFiring
+	// add annotations
+	alert2.Annotations["summary"] = "1"
 	// add external label
 	alert2.Labels["cluster"] = "east-1"
+	// add labels from response
+	alert2.Labels["job"] = job
+	alert2.Labels["instance"] = inst2
 	// add rule labels
 	alert2.Labels["label"] = "bar"
 	alert2.Labels["host"] = inst2
@@ -262,8 +265,25 @@ func TestGroupStart(t *testing.T) {
 		close(finished)
 	}()
 
-	// wait for multiple evals
-	time.Sleep(20 * evalInterval)
+	waitForIterations := func(n int, interval time.Duration) {
+		t.Helper()
+
+		var cur uint64
+		prev := g.metrics.iterationTotal.Get()
+		for i := 0; ; i++ {
+			if i > 40 {
+				t.Fatalf("group wasn't able to perform %d evaluations during %d eval intervals", n, i)
+			}
+			cur = g.metrics.iterationTotal.Get()
+			if int(cur-prev) >= n {
+				return
+			}
+			time.Sleep(interval)
+		}
+	}
+
+	// wait for multiple evaluation iterations
+	waitForIterations(4, evalInterval)
 
 	gotAlerts := fn.GetAlerts()
 	expectedAlerts := []notifier.Alert{*alert1, *alert2}
@@ -280,8 +300,8 @@ func TestGroupStart(t *testing.T) {
 	// and set only one datapoint for response
 	fs.Add(m1)
 
-	// wait for multiple evals
-	time.Sleep(20 * evalInterval)
+	// wait for multiple evaluation iterations
+	waitForIterations(4, evalInterval)
 
 	gotAlerts = fn.GetAlerts()
 	alert2.State = notifier.StateInactive

app/vmalert/rule/rule.go

@@ -32,7 +32,7 @@ type Rule interface {
 	close()
 }
 
-var errDuplicate = errors.New("result contains metrics with the same labelset after applying rule labels. See https://docs.victoriametrics.com/vmalert.html#series-with-the-same-labelset for details")
+var errDuplicate = errors.New("result contains metrics with the same labelset after applying rule labels. See https://docs.victoriametrics.com/vmalert/#series-with-the-same-labelset for details")
 
 type ruleState struct {
 	sync.RWMutex

app/vmalert/static/js/custom.js

@@ -13,6 +13,20 @@ function collapseAll() {
     $('.collapse').removeClass('show');
 }
 
+function showByID(id) {
+    if (!id) {
+        return
+    }
+    let parent = $("#" + id).parent();
+    if (!parent) {
+        return
+    }
+    let target = $("#" + parent.attr("data-bs-target"));
+    if (target.length > 0) {
+        target.addClass('show');
+    }
+}
+
 function toggleByID(id) {
     if (id) {
         let el = $("#" + id);
@@ -61,7 +75,7 @@ function search() {
 function setParamURL(key, value) {
     let url = new URL(location.href)
     url.searchParams.set(key, value);
-    window.history.replaceState(null, null, `?${url.searchParams.toString()}`);
+    window.history.replaceState(null, null, `?${url.searchParams.toString()}${url.hash}`);
 }
 
 function getParamURL(key) {
@@ -141,7 +155,7 @@ $(document).ready(function () {
     search()
 
     let hash = window.location.hash.substr(1);
-    toggleByID(hash);
+    showByID(hash);
 });
 
 $(document).ready(function () {

app/vmalert/web.go

@@ -39,7 +39,7 @@ var (
 		{Name: "Groups", Url: "groups"},
 		{Name: "Alerts", Url: "alerts"},
 		{Name: "Notifiers", Url: "notifiers"},
-		{Name: "Docs", Url: "https://docs.victoriametrics.com/vmalert.html"},
+		{Name: "Docs", Url: "https://docs.victoriametrics.com/vmalert/"},
 	}
 )
 

app/vmauth/README.md

@@ -1,3 +1,3 @@
-See vmauth docs [here](https://docs.victoriametrics.com/vmauth.html).
+See vmauth docs [here](https://docs.victoriametrics.com/vmauth/).
 
 vmauth docs can be edited at [docs/vmauth.md](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/docs/vmauth.md).

app/vmauth/auth_config.go

@@ -7,7 +7,6 @@ import (
 	"flag"
 	"fmt"
 	"math"
-	"net"
 	"net/http"
 	"net/url"
 	"os"
@@ -27,20 +26,21 @@ import (
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs/fscore"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
+	"github.com/VictoriaMetrics/VictoriaMetrics/lib/netutil"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/procutil"
 )
 
 var (
 	authConfigPath = flag.String("auth.config", "", "Path to auth config. It can point either to local file or to http url. "+
-		"See https://docs.victoriametrics.com/vmauth.html for details on the format of this auth config")
+		"See https://docs.victoriametrics.com/vmauth/ for details on the format of this auth config")
 	configCheckInterval = flag.Duration("configCheckInterval", 0, "interval for config file re-read. "+
 		"Zero value disables config re-reading. By default, refreshing is disabled, send SIGHUP for config refresh.")
 	defaultRetryStatusCodes = flagutil.NewArrayInt("retryStatusCodes", 0, "Comma-separated list of default HTTP response status codes when vmauth re-tries the request on other backends. "+
-		"See https://docs.victoriametrics.com/vmauth.html#load-balancing for details")
+		"See https://docs.victoriametrics.com/vmauth/#load-balancing for details")
 	defaultLoadBalancingPolicy = flag.String("loadBalancingPolicy", "least_loaded", "The default load balancing policy to use for backend urls specified inside url_prefix section. "+
-		"Supported policies: least_loaded, first_available. See https://docs.victoriametrics.com/vmauth.html#load-balancing")
+		"Supported policies: least_loaded, first_available. See https://docs.victoriametrics.com/vmauth/#load-balancing")
 	discoverBackendIPsGlobal = flag.Bool("discoverBackendIPs", false, "Whether to discover backend IPs via periodic DNS queries to hostnames specified in url_prefix. "+
-		"This may be useful when url_prefix points to a hostname with dynamically scaled instances behind it. See https://docs.victoriametrics.com/vmauth.html#discovering-backend-ips")
+		"This may be useful when url_prefix points to a hostname with dynamically scaled instances behind it. See https://docs.victoriametrics.com/vmauth/#discovering-backend-ips")
 	discoverBackendIPsInterval = flag.Duration("discoverBackendIPsInterval", 10*time.Second, "The interval for re-discovering backend IPs if -discoverBackendIPs command-line flag is set. "+
 		"Too low value may lead to DNS errors")
 	httpAuthHeader = flagutil.NewArrayString("httpAuthHeader", "HTTP request header to use for obtaining authorization tokens. By default auth tokens are read from Authorization request header")
@@ -73,15 +73,18 @@ type UserInfo struct {
 	RetryStatusCodes       []int       `yaml:"retry_status_codes,omitempty"`
 	LoadBalancingPolicy    string      `yaml:"load_balancing_policy,omitempty"`
 	DropSrcPathPrefixParts *int        `yaml:"drop_src_path_prefix_parts,omitempty"`
-	TLSInsecureSkipVerify  *bool       `yaml:"tls_insecure_skip_verify,omitempty"`
 	TLSCAFile              string      `yaml:"tls_ca_file,omitempty"`
+	TLSCertFile            string      `yaml:"tls_cert_file,omitempty"`
+	TLSKeyFile             string      `yaml:"tls_key_file,omitempty"`
+	TLSServerName          string      `yaml:"tls_server_name,omitempty"`
+	TLSInsecureSkipVerify  *bool       `yaml:"tls_insecure_skip_verify,omitempty"`
 
 	MetricLabels map[string]string `yaml:"metric_labels,omitempty"`
 
 	concurrencyLimitCh      chan struct{}
 	concurrencyLimitReached *metrics.Counter
 
-	httpTransport *http.Transport
+	rt http.RoundTripper
 
 	requests         *metrics.Counter
 	backendErrors    *metrics.Counter
@@ -90,8 +93,8 @@ type UserInfo struct {
 
 // HeadersConf represents config for request and response headers.
 type HeadersConf struct {
-	RequestHeaders  []Header `yaml:"headers,omitempty"`
-	ResponseHeaders []Header `yaml:"response_headers,omitempty"`
+	RequestHeaders  []*Header `yaml:"headers,omitempty"`
+	ResponseHeaders []*Header `yaml:"response_headers,omitempty"`
 }
 
 func (ui *UserInfo) beginConcurrencyLimit() error {
@@ -155,10 +158,10 @@ type URLMap struct {
 	SrcHosts []*Regex `yaml:"src_hosts,omitempty"`
 
 	// SrcQueryArgs is an optional list of query args, which must match request URL query args.
-	SrcQueryArgs []QueryArg `yaml:"src_query_args,omitempty"`
+	SrcQueryArgs []*QueryArg `yaml:"src_query_args,omitempty"`
 
 	// SrcHeaders is an optional list of headers, which must match request headers.
-	SrcHeaders []Header `yaml:"src_headers,omitempty"`
+	SrcHeaders []*Header `yaml:"src_headers,omitempty"`
 
 	// UrlPrefix contains backend url prefixes for the proxied request url.
 	URLPrefix *URLPrefix `yaml:"url_prefix,omitempty"`
@@ -179,22 +182,15 @@ type URLMap struct {
 	DropSrcPathPrefixParts *int `yaml:"drop_src_path_prefix_parts,omitempty"`
 }
 
-// Regex represents a regex
-type Regex struct {
-	re *regexp.Regexp
-
-	sOriginal string
-}
-
 // QueryArg represents HTTP query arg
 type QueryArg struct {
 	Name  string
-	Value string
+	Value *Regex
 
 	sOriginal string
 }
 
-// UnmarshalYAML unmarshals up from yaml.
+// UnmarshalYAML unmarshals qa from yaml.
 func (qa *QueryArg) UnmarshalYAML(f func(interface{}) error) error {
 	var s string
 	if err := f(&s); err != nil {
@@ -203,14 +199,27 @@ func (qa *QueryArg) UnmarshalYAML(f func(interface{}) error) error {
 	qa.sOriginal = s
 
 	n := strings.IndexByte(s, '=')
-	if n >= 0 {
-		qa.Name = s[:n]
-		qa.Value = s[n+1:]
+	if n < 0 {
+		return nil
 	}
+
+	qa.Name = s[:n]
+	expr := s[n+1:]
+	if !strings.HasPrefix(expr, "~") {
+		expr = regexp.QuoteMeta(expr)
+	} else {
+		expr = expr[1:]
+	}
+
+	var re Regex
+	if err := yaml.Unmarshal([]byte(expr), &re); err != nil {
+		return fmt.Errorf("cannot unmarshal regex for %q query arg: %w", qa.Name, err)
+	}
+	qa.Value = &re
 	return nil
 }
 
-// MarshalYAML marshals up to yaml.
+// MarshalYAML marshals qa to yaml.
 func (qa *QueryArg) MarshalYAML() (interface{}, error) {
 	return qa.sOriginal, nil
 }
@@ -293,7 +302,7 @@ func (up *URLPrefix) getBackendsCount() int {
 //
 // backendURL.put() must be called on the returned backendURL after the request is complete.
 func (up *URLPrefix) getBackendURL() *backendURL {
-	up.discoverBackendIPsIfNeeded()
+	up.discoverBackendAddrsIfNeeded()
 
 	pbus := up.bus.Load()
 	bus := *pbus
@@ -303,7 +312,7 @@ func (up *URLPrefix) getBackendURL() *backendURL {
 	return getLeastLoadedBackendURL(bus, &up.n)
 }
 
-func (up *URLPrefix) discoverBackendIPsIfNeeded() {
+func (up *URLPrefix) discoverBackendAddrsIfNeeded() {
 	if !up.discoverBackendIPs {
 		// The discovery is disabled.
 		return
@@ -328,27 +337,42 @@ func (up *URLPrefix) discoverBackendIPsIfNeeded() {
 
 	// Discover ips for all the backendURLs
 	ctx, cancel := context.WithTimeout(context.Background(), time.Second*time.Duration(intervalSec))
-	hostToIPs := make(map[string][]string)
+	hostToAddrs := make(map[string][]string)
 	for _, bu := range up.busOriginal {
 		host := bu.Hostname()
-		if hostToIPs[host] != nil {
+		if hostToAddrs[host] != nil {
 			// ips for the given host have been already discovered
 			continue
 		}
-		addrs, err := resolver.LookupIPAddr(ctx, host)
-		var ips []string
-		if err != nil {
-			logger.Warnf("cannot discover backend IPs for %s: %s; use it literally", bu, err)
-			ips = []string{host}
-		} else {
-			ips = make([]string, len(addrs))
-			for i, addr := range addrs {
-				ips[i] = addr.String()
+		var resolvedAddrs []string
+		if strings.HasPrefix(host, "srv+") {
+			// The host has the format 'srv+realhost'. Strip 'srv+' prefix before performing the lookup.
+			host = strings.TrimPrefix(host, "srv+")
+			_, addrs, err := netutil.Resolver.LookupSRV(ctx, "", "", host)
+			if err != nil {
+				logger.Warnf("cannot discover backend SRV records for %s: %s; use it literally", bu, err)
+				resolvedAddrs = []string{host}
+			} else {
+				resolvedAddrs := make([]string, len(addrs))
+				for i, addr := range addrs {
+					resolvedAddrs[i] = fmt.Sprintf("%s:%d", addr.Target, addr.Port)
+				}
+			}
+		} else {
+			addrs, err := netutil.Resolver.LookupIPAddr(ctx, host)
+			if err != nil {
+				logger.Warnf("cannot discover backend IPs for %s: %s; use it literally", bu, err)
+				resolvedAddrs = []string{host}
+			} else {
+				resolvedAddrs = make([]string, len(addrs))
+				for i, addr := range addrs {
+					resolvedAddrs[i] = addr.String()
+				}
 			}
-			// sort ips, so they could be compared below in areEqualBackendURLs()
-			sort.Strings(ips)
 		}
-		hostToIPs[host] = ips
+		// sort resolvedAddrs, so they could be compared below in areEqualBackendURLs()
+		sort.Strings(resolvedAddrs)
+		hostToAddrs[host] = resolvedAddrs
 	}
 	cancel()
 
@@ -357,10 +381,14 @@ func (up *URLPrefix) discoverBackendIPsIfNeeded() {
 	for _, bu := range up.busOriginal {
 		host := bu.Hostname()
 		port := bu.Port()
-		for _, ip := range hostToIPs[host] {
+		for _, addr := range hostToAddrs[host] {
 			buCopy := *bu
-			buCopy.Host = ip
+			buCopy.Host = addr
 			if port != "" {
+				if n := strings.IndexByte(buCopy.Host, ':'); n >= 0 {
+					// Drop the discovered port and substitute it the the port specified in bu.
+					buCopy.Host = buCopy.Host[:n]
+				}
 				buCopy.Host += ":" + port
 			}
 			busNew = append(busNew, &backendURL{
@@ -391,11 +419,6 @@ func areEqualBackendURLs(a, b []*backendURL) bool {
 	return true
 }
 
-var resolver = &net.Resolver{
-	PreferGo:     true,
-	StrictErrors: true,
-}
-
 // getFirstAvailableBackendURL returns the first available backendURL, which isn't broken.
 //
 // backendURL.put() must be called on the returned backendURL after the request is complete.
@@ -508,6 +531,13 @@ func (up *URLPrefix) MarshalYAML() (interface{}, error) {
 	return up.vOriginal, nil
 }
 
+// Regex represents a regex
+type Regex struct {
+	re *regexp.Regexp
+
+	sOriginal string
+}
+
 func (r *Regex) match(s string) bool {
 	prefix, ok := r.re.LiteralPrefix()
 	if ok {
@@ -716,11 +746,11 @@ func parseAuthConfig(data []byte) (*AuthConfig, error) {
 			return float64(len(ui.concurrencyLimitCh))
 		})
 
-		tr, err := getTransport(ui.TLSInsecureSkipVerify, ui.TLSCAFile)
+		rt, err := newRoundTripper(ui.TLSCAFile, ui.TLSCertFile, ui.TLSKeyFile, ui.TLSServerName, ui.TLSInsecureSkipVerify)
 		if err != nil {
-			return nil, fmt.Errorf("cannot initialize HTTP transport: %w", err)
+			return nil, fmt.Errorf("cannot initialize HTTP RoundTripper: %w", err)
 		}
-		ui.httpTransport = tr
+		ui.rt = rt
 	}
 	return ac, nil
 }
@@ -764,11 +794,11 @@ func parseAuthConfigUsers(ac *AuthConfig) (map[string]*UserInfo, error) {
 			return float64(len(ui.concurrencyLimitCh))
 		})
 
-		tr, err := getTransport(ui.TLSInsecureSkipVerify, ui.TLSCAFile)
+		rt, err := newRoundTripper(ui.TLSCAFile, ui.TLSCertFile, ui.TLSKeyFile, ui.TLSServerName, ui.TLSInsecureSkipVerify)
 		if err != nil {
-			return nil, fmt.Errorf("cannot initialize HTTP transport: %w", err)
+			return nil, fmt.Errorf("cannot initialize HTTP RoundTripper: %w", err)
 		}
-		ui.httpTransport = tr
+		ui.rt = rt
 
 		for _, at := range ats {
 			byAuthToken[at] = ui

app/vmauth/auth_config_test.go

@@ -4,10 +4,11 @@ import (
 	"bytes"
 	"fmt"
 	"net/url"
-	"regexp"
 	"testing"
 
 	"gopkg.in/yaml.v2"
+
+	"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
 )
 
 func TestParseAuthConfigFailure(t *testing.T) {
@@ -315,43 +316,54 @@ users:
 	f(`
 users:
 - auth_token: foo
-  url_prefix: http://aaa:343/bbb
+  url_prefix: https://aaa:343/bbb
   max_concurrent_requests: 5
   tls_insecure_skip_verify: true
+  tls_server_name: "foo.bar"
+  tls_ca_file: "foo/bar"
+  tls_cert_file: "foo/baz"
+  tls_key_file: "foo/foo"
 `, map[string]*UserInfo{
 		getHTTPAuthToken("foo"): {
 			AuthToken:             "foo",
-			URLPrefix:             mustParseURL("http://aaa:343/bbb"),
+			URLPrefix:             mustParseURL("https://aaa:343/bbb"),
 			MaxConcurrentRequests: 5,
 			TLSInsecureSkipVerify: &insecureSkipVerifyTrue,
+			TLSServerName:         "foo.bar",
+			TLSCAFile:             "foo/bar",
+			TLSCertFile:           "foo/baz",
+			TLSKeyFile:            "foo/foo",
 		},
 	})
 
 	// Multiple url_prefix entries
 	insecureSkipVerifyFalse := false
+	discoverBackendIPsTrue := true
 	f(`
 users:
 - username: foo
   password: bar
   url_prefix:
   - http://node1:343/bbb
-  - http://node2:343/bbb
+  - http://srv+node2:343/bbb
   tls_insecure_skip_verify: false
   retry_status_codes: [500, 501]
   load_balancing_policy: first_available
   drop_src_path_prefix_parts: 1
+  discover_backend_ips: true
 `, map[string]*UserInfo{
 		getHTTPAuthBasicToken("foo", "bar"): {
 			Username: "foo",
 			Password: "bar",
 			URLPrefix: mustParseURLs([]string{
 				"http://node1:343/bbb",
-				"http://node2:343/bbb",
+				"http://srv+node2:343/bbb",
 			}),
 			TLSInsecureSkipVerify:  &insecureSkipVerifyFalse,
 			RetryStatusCodes:       []int{500, 501},
 			LoadBalancingPolicy:    "first_available",
 			DropSrcPathPrefixParts: intp(1),
+			DiscoverBackendIPs:     &discoverBackendIPsTrue,
 		},
 	})
 
@@ -384,32 +396,21 @@ users:
 			{
 				SrcHosts: getRegexs([]string{"foo\\.bar", "baz:1234"}),
 				SrcPaths: getRegexs([]string{"/api/v1/write"}),
-				SrcQueryArgs: []QueryArg{
-					{
-						Name:  "foo",
-						Value: "bar",
-					},
+				SrcQueryArgs: []*QueryArg{
+					mustNewQueryArg("foo=b.+ar"),
+					mustNewQueryArg("baz=~.*x=y.+"),
 				},
-				SrcHeaders: []Header{
-					{
-						Name:  "TenantID",
-						Value: "345",
-					},
+				SrcHeaders: []*Header{
+					mustNewHeader("'TenantID: 345'"),
 				},
 				URLPrefix: mustParseURLs([]string{
 					"http://vminsert1/insert/0/prometheus",
 					"http://vminsert2/insert/0/prometheus",
 				}),
 				HeadersConf: HeadersConf{
-					RequestHeaders: []Header{
-						{
-							Name:  "foo",
-							Value: "bar",
-						},
-						{
-							Name:  "xxx",
-							Value: "y",
-						},
+					RequestHeaders: []*Header{
+						mustNewHeader("'foo: bar'"),
+						mustNewHeader("'xxx: y'"),
 					},
 				},
 			},
@@ -423,7 +424,7 @@ users:
     url_prefix: http://vmselect/select/0/prometheus
   - src_paths: ["/api/v1/write"]
     src_hosts: ["foo\\.bar", "baz:1234"]
-    src_query_args: ['foo=bar']
+    src_query_args: ['foo=b.+ar', 'baz=~.*x=y.+']
     src_headers: ['TenantID: 345']
     url_prefix: ["http://vminsert1/insert/0/prometheus","http://vminsert2/insert/0/prometheus"]
     headers:
@@ -486,15 +487,9 @@ users:
 						"http://vminsert2/insert/0/prometheus",
 					}),
 					HeadersConf: HeadersConf{
-						RequestHeaders: []Header{
-							{
-								Name:  "foo",
-								Value: "bar",
-							},
-							{
-								Name:  "xxx",
-								Value: "y",
-							},
+						RequestHeaders: []*Header{
+							mustNewHeader("'foo: bar'"),
+							mustNewHeader("'xxx: y'"),
 						},
 					},
 				},
@@ -518,15 +513,9 @@ users:
 						"http://vminsert2/insert/0/prometheus",
 					}),
 					HeadersConf: HeadersConf{
-						RequestHeaders: []Header{
-							{
-								Name:  "foo",
-								Value: "bar",
-							},
-							{
-								Name:  "xxx",
-								Value: "y",
-							},
+						RequestHeaders: []*Header{
+							mustNewHeader("'foo: bar'"),
+							mustNewHeader("'xxx: y'"),
 						},
 					},
 				},
@@ -600,11 +589,11 @@ unauthorized_user:
 	}
 
 	ui := m[getHTTPAuthBasicToken("foo", "bar")]
-	if !isSetBool(ui.TLSInsecureSkipVerify, true) || !ui.httpTransport.TLSClientConfig.InsecureSkipVerify {
+	if !isSetBool(ui.TLSInsecureSkipVerify, true) {
 		t.Fatalf("unexpected TLSInsecureSkipVerify value for user foo")
 	}
 
-	if !isSetBool(ac.UnauthorizedUser.TLSInsecureSkipVerify, false) || ac.UnauthorizedUser.httpTransport.TLSClientConfig.InsecureSkipVerify {
+	if !isSetBool(ac.UnauthorizedUser.TLSInsecureSkipVerify, false) {
 		t.Fatalf("unexpected TLSInsecureSkipVerify value for unauthorized_user")
 	}
 }
@@ -699,10 +688,7 @@ func isSetBool(boolP *bool, expectedValue bool) bool {
 func getRegexs(paths []string) []*Regex {
 	var sps []*Regex
 	for _, path := range paths {
-		sps = append(sps, &Regex{
-			sOriginal: path,
-			re:        regexp.MustCompile("^(?:" + path + ")$"),
-		})
+		sps = append(sps, mustNewRegex(path))
 	}
 	return sps
 }
@@ -759,3 +745,27 @@ func mustParseURLs(us []string) *URLPrefix {
 func intp(n int) *int {
 	return &n
 }
+
+func mustNewRegex(s string) *Regex {
+	var re Regex
+	if err := yaml.Unmarshal([]byte(s), &re); err != nil {
+		logger.Panicf("cannot unmarshal regex %q: %s", s, err)
+	}
+	return &re
+}
+
+func mustNewQueryArg(s string) *QueryArg {
+	var qa QueryArg
+	if err := yaml.Unmarshal([]byte(s), &qa); err != nil {
+		logger.Panicf("cannot unmarshal query arg filter %q: %s", s, err)
+	}
+	return &qa
+}
+
+func mustNewHeader(s string) *Header {
+	var h Header
+	if err := yaml.Unmarshal([]byte(s), &h); err != nil {
+		logger.Panicf("cannot unmarshal header filter %q: %s", s, err)
+	}
+	return &h
+}

app/vmauth/main.go

@@ -2,8 +2,6 @@ package main
 
 import (
 	"context"
-	"crypto/tls"
-	"crypto/x509"
 	"errors"
 	"flag"
 	"fmt"
@@ -22,14 +20,13 @@ import (
 
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/buildinfo"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
-	"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/envflag"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil"
-	"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs/fscore"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/netutil"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/procutil"
+	"github.com/VictoriaMetrics/VictoriaMetrics/lib/promauth"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/pushmetrics"
 )
 
@@ -53,9 +50,15 @@ var (
 	maxRequestBodySizeToRetry = flagutil.NewBytes("maxRequestBodySizeToRetry", 16*1024, "The maximum request body size, which can be cached and re-tried at other backends. "+
 		"Bigger values may require more memory")
 	backendTLSInsecureSkipVerify = flag.Bool("backend.tlsInsecureSkipVerify", false, "Whether to skip TLS verification when connecting to backends over HTTPS. "+
-		"See https://docs.victoriametrics.com/vmauth.html#backend-tls-setup")
+		"See https://docs.victoriametrics.com/vmauth/#backend-tls-setup")
 	backendTLSCAFile = flag.String("backend.TLSCAFile", "", "Optional path to TLS root CA file, which is used for TLS verification when connecting to backends over HTTPS. "+
-		"See https://docs.victoriametrics.com/vmauth.html#backend-tls-setup")
+		"See https://docs.victoriametrics.com/vmauth/#backend-tls-setup")
+	backendTLSCertFile = flag.String("backend.TLSCertFile", "", "Optional path to TLS client certificate file, which must be sent to HTTPS backend. "+
+		"See https://docs.victoriametrics.com/vmauth/#backend-tls-setup")
+	backendTLSKeyFile = flag.String("backend.TLSKeyFile", "", "Optional path to TLS client key file, which must be sent to HTTPS backend. "+
+		"See https://docs.victoriametrics.com/vmauth/#backend-tls-setup")
+	backendTLSServerName = flag.String("backend.TLSServerName", "", "Optional TLS ServerName, which must be sent to HTTPS backend. "+
+		"See https://docs.victoriametrics.com/vmauth/#backend-tls-setup")
 )
 
 func main() {
@@ -240,7 +243,7 @@ func tryProcessingRequest(w http.ResponseWriter, r *http.Request, targetURL *url
 		req.Host = targetURL.Host
 	}
 	updateHeadersByConfig(req.Header, hc.RequestHeaders)
-	res, err := ui.httpTransport.RoundTrip(req)
+	res, err := ui.rt.RoundTrip(req)
 	rtb, rtbOK := req.Body.(*readTrackingBody)
 	if err != nil {
 		if errors.Is(err, context.Canceled) || errors.Is(err, context.DeadlineExceeded) {
@@ -323,7 +326,7 @@ func copyHeader(dst, src http.Header) {
 	}
 }
 
-func updateHeadersByConfig(headers http.Header, config []Header) {
+func updateHeadersByConfig(headers http.Header, config []*Header) {
 	for _, h := range config {
 		if h.Value == "" {
 			headers.Del(h.Name)
@@ -392,50 +395,41 @@ var (
 	missingRouteRequests     = metrics.NewCounter(`vmauth_http_request_errors_total{reason="missing_route"}`)
 )
 
-func getTransport(insecureSkipVerifyP *bool, caFile string) (*http.Transport, error) {
-	if insecureSkipVerifyP == nil {
-		insecureSkipVerifyP = backendTLSInsecureSkipVerify
+func newRoundTripper(caFileOpt, certFileOpt, keyFileOpt, serverNameOpt string, insecureSkipVerifyP *bool) (http.RoundTripper, error) {
+	caFile := *backendTLSCAFile
+	if caFileOpt != "" {
+		caFile = caFileOpt
 	}
-	insecureSkipVerify := *insecureSkipVerifyP
-	if caFile == "" {
-		caFile = *backendTLSCAFile
+	certFile := *backendTLSCertFile
+	if certFileOpt != "" {
+		certFile = certFileOpt
+	}
+	keyFile := *backendTLSKeyFile
+	if keyFileOpt != "" {
+		keyFile = keyFileOpt
+	}
+	serverName := *backendTLSServerName
+	if serverNameOpt != "" {
+		serverName = serverNameOpt
+	}
+	insecureSkipVerify := *backendTLSInsecureSkipVerify
+	if p := insecureSkipVerifyP; p != nil {
+		insecureSkipVerify = *p
+	}
+	opts := &promauth.Options{
+		TLSConfig: &promauth.TLSConfig{
+			CAFile:             caFile,
+			CertFile:           certFile,
+			KeyFile:            keyFile,
+			ServerName:         serverName,
+			InsecureSkipVerify: insecureSkipVerify,
+		},
+	}
+	cfg, err := opts.NewConfig()
+	if err != nil {
+		return nil, fmt.Errorf("cannot initialize promauth.Config: %w", err)
 	}
 
-	bb := bbPool.Get()
-	defer bbPool.Put(bb)
-
-	bb.B = appendTransportKey(bb.B[:0], insecureSkipVerify, caFile)
-
-	transportMapLock.Lock()
-	defer transportMapLock.Unlock()
-
-	tr := transportMap[string(bb.B)]
-	if tr == nil {
-		trLocal, err := newTransport(insecureSkipVerify, caFile)
-		if err != nil {
-			return nil, err
-		}
-		transportMap[string(bb.B)] = trLocal
-		tr = trLocal
-	}
-
-	return tr, nil
-}
-
-var (
-	transportMap     = make(map[string]*http.Transport)
-	transportMapLock sync.Mutex
-)
-
-func appendTransportKey(dst []byte, insecureSkipVerify bool, caFile string) []byte {
-	dst = encoding.MarshalBool(dst, insecureSkipVerify)
-	dst = encoding.MarshalBytes(dst, bytesutil.ToUnsafeBytes(caFile))
-	return dst
-}
-
-var bbPool bytesutil.ByteBufferPool
-
-func newTransport(insecureSkipVerify bool, caFile string) (*http.Transport, error) {
 	tr := http.DefaultTransport.(*http.Transport).Clone()
 	tr.ResponseHeaderTimeout = *responseTimeout
 	// Automatic compression must be disabled in order to fix https://github.com/VictoriaMetrics/VictoriaMetrics/issues/535
@@ -444,27 +438,10 @@ func newTransport(insecureSkipVerify bool, caFile string) (*http.Transport, erro
 	if tr.MaxIdleConns != 0 && tr.MaxIdleConns < tr.MaxIdleConnsPerHost {
 		tr.MaxIdleConns = tr.MaxIdleConnsPerHost
 	}
-	tlsCfg := tr.TLSClientConfig
-	if tlsCfg == nil {
-		tlsCfg = &tls.Config{}
-		tr.TLSClientConfig = tlsCfg
-	}
-	if insecureSkipVerify || caFile != "" {
-		tlsCfg.ClientSessionCache = tls.NewLRUClientSessionCache(0)
-		tlsCfg.InsecureSkipVerify = insecureSkipVerify
-		if caFile != "" {
-			data, err := fscore.ReadFileOrHTTP(caFile)
-			if err != nil {
-				return nil, fmt.Errorf("cannot read tls_ca_file: %w", err)
-			}
-			rootCA := x509.NewCertPool()
-			if !rootCA.AppendCertsFromPEM(data) {
-				return nil, fmt.Errorf("cannot parse data read from tls_ca_file %q", caFile)
-			}
-			tlsCfg.RootCAs = rootCA
-		}
-	}
-	return tr, nil
+	tr.DialContext = netutil.DialMaybeSRV
+
+	rt := cfg.NewRoundTripper(tr)
+	return rt, nil
 }
 
 var (
@@ -488,7 +465,7 @@ func usage() {
 	const s = `
 vmauth authenticates and authorizes incoming requests and proxies them to VictoriaMetrics.
 
-See the docs at https://docs.victoriametrics.com/vmauth.html .
+See the docs at https://docs.victoriametrics.com/vmauth/ .
 `
 	flagutil.Usage(s)
 }

app/vmauth/target_url.go

@@ -86,19 +86,25 @@ func matchAnyRegex(rs []*Regex, s string) bool {
 	return false
 }
 
-func matchAnyQueryArg(qas []QueryArg, args url.Values) bool {
+func matchAnyQueryArg(qas []*QueryArg, args url.Values) bool {
 	if len(qas) == 0 {
 		return true
 	}
 	for _, qa := range qas {
-		if slices.Contains(args[qa.Name], qa.Value) {
-			return true
+		vs, ok := args[qa.Name]
+		if !ok {
+			continue
+		}
+		for _, v := range vs {
+			if qa.Value.match(v) {
+				return true
+			}
 		}
 	}
 	return false
 }
 
-func matchAnyHeader(headers []Header, h http.Header) bool {
+func matchAnyHeader(headers []*Header, h http.Header) bool {
 	if len(headers) == 0 {
 		return true
 	}

app/vmauth/target_url_test.go

@@ -97,8 +97,10 @@ func TestCreateTargetURLSuccess(t *testing.T) {
 		bu := up.getBackendURL()
 		target := mergeURLs(bu.url, u, up.dropSrcPathPrefixParts)
 		bu.put()
-		if target.String() != expectedTarget {
-			t.Fatalf("unexpected target; got %q; want %q", target, expectedTarget)
+
+		gotTarget := target.String()
+		if gotTarget != expectedTarget {
+			t.Fatalf("unexpected target; \ngot:\n%q;\nwant:\n%q", gotTarget, expectedTarget)
 		}
 		if s := headersToString(hc.RequestHeaders); s != expectedRequestHeaders {
 			t.Fatalf("unexpected request headers; got %q; want %q", s, expectedRequestHeaders)
@@ -123,17 +125,11 @@ func TestCreateTargetURLSuccess(t *testing.T) {
 	f(&UserInfo{
 		URLPrefix: mustParseURL("http://foo.bar"),
 		HeadersConf: HeadersConf{
-			RequestHeaders: []Header{
-				{
-					Name:  "bb",
-					Value: "aaa",
-				},
+			RequestHeaders: []*Header{
+				mustNewHeader("'bb: aaa'"),
 			},
-			ResponseHeaders: []Header{
-				{
-					Name:  "x",
-					Value: "y",
-				},
+			ResponseHeaders: []*Header{
+				mustNewHeader("'x: y'"),
 			},
 		},
 		RetryStatusCodes:       []int{503, 501},
@@ -162,29 +158,17 @@ func TestCreateTargetURLSuccess(t *testing.T) {
 			{
 				SrcHosts: getRegexs([]string{"host42"}),
 				SrcPaths: getRegexs([]string{"/vmsingle/api/v1/query"}),
-				SrcQueryArgs: []QueryArg{
-					{
-						Name:  "db",
-						Value: "foo",
-					},
+				SrcQueryArgs: []*QueryArg{
+					mustNewQueryArg("db=foo"),
 				},
 				URLPrefix: mustParseURL("http://vmselect/0/prometheus"),
 				HeadersConf: HeadersConf{
-					RequestHeaders: []Header{
-						{
-							Name:  "xx",
-							Value: "aa",
-						},
-						{
-							Name:  "yy",
-							Value: "asdf",
-						},
+					RequestHeaders: []*Header{
+						mustNewHeader("'xx: aa'"),
+						mustNewHeader("'yy: asdf'"),
 					},
-					ResponseHeaders: []Header{
-						{
-							Name:  "qwe",
-							Value: "rty",
-						},
+					ResponseHeaders: []*Header{
+						mustNewHeader("'qwe: rty'"),
 					},
 				},
 				RetryStatusCodes:       []int{503, 500, 501},
@@ -200,14 +184,12 @@ func TestCreateTargetURLSuccess(t *testing.T) {
 		},
 		URLPrefix: mustParseURL("http://default-server"),
 		HeadersConf: HeadersConf{
-			RequestHeaders: []Header{{
-				Name:  "bb",
-				Value: "aaa",
-			}},
-			ResponseHeaders: []Header{{
-				Name:  "x",
-				Value: "y",
-			}},
+			RequestHeaders: []*Header{
+				mustNewHeader("'bb: aaa'"),
+			},
+			ResponseHeaders: []*Header{
+				mustNewHeader("'x: y'"),
+			},
 		},
 		RetryStatusCodes:       []int{502},
 		DropSrcPathPrefixParts: intp(2),
@@ -250,6 +232,30 @@ func TestCreateTargetURLSuccess(t *testing.T) {
 	f(&UserInfo{
 		URLPrefix: mustParseURL("http://foo.bar?extra_label=team=mobile"),
 	}, "/api/v1/query?extra_label=team=dev", "http://foo.bar/api/v1/query?extra_label=team%3Dmobile", "", "", nil, "least_loaded", 0)
+
+	// Complex routing regexp query args in `url_map`
+	ui = &UserInfo{
+		URLMaps: []URLMap{
+			{
+				SrcPaths: getRegexs([]string{"/api/v1/query"}),
+				SrcQueryArgs: []*QueryArg{
+					mustNewQueryArg(`query=~.*{.*env="dev".*}*.`),
+				},
+				URLPrefix: mustParseURL("http://vmselect/0/prometheus"),
+			},
+			{
+				SrcPaths: getRegexs([]string{"/api/v1/query"}),
+				SrcQueryArgs: []*QueryArg{
+					mustNewQueryArg(`query=~.*{.*env="prod".*}.*`),
+				},
+				URLPrefix: mustParseURL("http://vmselect/1/prometheus"),
+			},
+		},
+		URLPrefix: mustParseURL("http://default-server"),
+	}
+	f(ui, `/api/v1/query?query=up{env="prod"}`, `http://vmselect/1/prometheus/api/v1/query?query=up%7Benv%3D%22prod%22%7D`, "", "", nil, "least_loaded", 0)
+	f(ui, `/api/v1/query?query=up{foo="bar",env="dev",pod!=""}`, `http://vmselect/0/prometheus/api/v1/query?query=up%7Bfoo%3D%22bar%22%2Cenv%3D%22dev%22%2Cpod%21%3D%22%22%7D`, "", "", nil, "least_loaded", 0)
+	f(ui, `/api/v1/query?query=up{foo="bar"}`, `http://default-server/api/v1/query?query=up%7Bfoo%3D%22bar%22%7D`, "", "", nil, "least_loaded", 0)
 }
 
 func TestCreateTargetURLFailure(t *testing.T) {
@@ -265,10 +271,10 @@ func TestCreateTargetURLFailure(t *testing.T) {
 			t.Fatalf("unexpected non-empty up=%#v", up)
 		}
 		if hc.RequestHeaders != nil {
-			t.Fatalf("unexpected non-empty request headers=%q", hc.RequestHeaders)
+			t.Fatalf("unexpected non-empty request headers: %s", headersToString(hc.RequestHeaders))
 		}
 		if hc.ResponseHeaders != nil {
-			t.Fatalf("unexpected non-empty response headers=%q", hc.ResponseHeaders)
+			t.Fatalf("unexpected non-empty response headers: %s", headersToString(hc.ResponseHeaders))
 		}
 	}
 	f(&UserInfo{}, "/foo/bar")
@@ -282,7 +288,7 @@ func TestCreateTargetURLFailure(t *testing.T) {
 	}, "/api/v1/write")
 }
 
-func headersToString(hs []Header) string {
+func headersToString(hs []*Header) string {
 	a := make([]string, len(hs))
 	for i, h := range hs {
 		a[i] = fmt.Sprintf("%s: %s", h.Name, h.Value)

app/vmbackup/README.md

@@ -1,3 +1,3 @@
-See vmbackup docs [here](https://docs.victoriametrics.com/vmbackup.html).
+See vmbackup docs [here](https://docs.victoriametrics.com/vmbackup/).
 
 vmbackup docs can be edited at [docs/vmbackup.md](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/docs/vmbackup.md).

app/vmbackup/main.go

@@ -26,7 +26,7 @@ import (
 var (
 	httpListenAddr    = flag.String("httpListenAddr", ":8420", "TCP address for exporting metrics at /metrics page")
 	storageDataPath   = flag.String("storageDataPath", "victoria-metrics-data", "Path to VictoriaMetrics data. Must match -storageDataPath from VictoriaMetrics or vmstorage")
-	snapshotName      = flag.String("snapshotName", "", "Name for the snapshot to backup. See https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-work-with-snapshots. There is no need in setting -snapshotName if -snapshot.createURL is set")
+	snapshotName      = flag.String("snapshotName", "", "Name for the snapshot to backup. See https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-work-with-snapshots. There is no need in setting -snapshotName if -snapshot.createURL is set")
 	snapshotCreateURL = flag.String("snapshot.createURL", "", "VictoriaMetrics create snapshot url. When this is given a snapshot will automatically be created during backup. "+
 		"Example: http://victoriametrics:8428/snapshot/create . There is no need in setting -snapshotName if -snapshot.createURL is set")
 	snapshotDeleteURL = flag.String("snapshot.deleteURL", "", "VictoriaMetrics delete snapshot url. Optional. Will be generated from -snapshot.createURL if not provided. "+
@@ -164,7 +164,7 @@ func usage() {
 vmbackup performs backups for VictoriaMetrics data from instant snapshots to gcs, s3, azblob
 or local filesystem. Backed up data can be restored with vmrestore.
 
-See the docs at https://docs.victoriametrics.com/vmbackup.html .
+See the docs at https://docs.victoriametrics.com/vmbackup/ .
 `
 	flagutil.Usage(s)
 }

app/vmbackupmanager/README.md

@@ -1,3 +1,3 @@
-See vmbackupmanager docs [here](https://docs.victoriametrics.com/vmbackupmanager.html).
+See vmbackupmanager docs [here](https://docs.victoriametrics.com/vmbackupmanager/).
 
 vmbackupmanager docs can be edited at [docs/vmbackupmanager.md](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/docs/vmbackupmanager.md).

app/vmctl/README.md

@@ -1,3 +1,3 @@
-See vmctl docs [here](https://docs.victoriametrics.com/vmctl.html).
+See vmctl docs [here](https://docs.victoriametrics.com/vmctl/).
 
 vmctl docs can be edited at [docs/vmctl.md](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/docs/vmctl.md).

app/vmctl/flags.go

@@ -442,12 +442,12 @@ var (
 		},
 		&cli.StringFlag{
 			Name:     vmNativeFilterTimeStart,
-			Usage:    "The time filter may contain different timestamp formats. See more details here https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#timestamp-formats",
+			Usage:    "The time filter may contain different timestamp formats. See more details here https://docs.victoriametrics.com/single-server-victoriametrics/#timestamp-formats",
 			Required: true,
 		},
 		&cli.StringFlag{
 			Name:  vmNativeFilterTimeEnd,
-			Usage: "The time filter may contain different timestamp formats. See more details here https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#timestamp-formats",
+			Usage: "The time filter may contain different timestamp formats. See more details here https://docs.victoriametrics.com/single-server-victoriametrics/#timestamp-formats",
 		},
 		&cli.StringFlag{
 			Name: vmNativeStepInterval,
@@ -469,7 +469,7 @@ var (
 			Name: vmNativeSrcAddr,
 			Usage: "VictoriaMetrics address to perform export from. \n" +
 				" Should be the same as --httpListenAddr value for single-node version or vmselect component." +
-				" If exporting from cluster version see https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#url-format",
+				" If exporting from cluster version see https://docs.victoriametrics.com/cluster-victoriametrics/#url-format",
 			Required: true,
 		},
 		&cli.StringFlag{
@@ -518,7 +518,7 @@ var (
 			Name: vmNativeDstAddr,
 			Usage: "VictoriaMetrics address to perform import to. \n" +
 				" Should be the same as --httpListenAddr value for single-node version or vminsert component." +
-				" If importing into cluster version see https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#url-format",
+				" If importing into cluster version see https://docs.victoriametrics.com/cluster-victoriametrics/#url-format",
 			Required: true,
 		},
 		&cli.StringFlag{

app/vmctl/vm/vm.go

@@ -123,7 +123,7 @@ func NewImporter(ctx context.Context, cfg Config) (*Importer, error) {
 	importPath := addr + "/api/v1/import"
 	if cfg.AccountID != "" {
 		// if cluster version
-		// see https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#url-format
+		// see https://docs.victoriametrics.com/cluster-victoriametrics/#url-format
 		importPath = fmt.Sprintf("%s/insert/%s/prometheus/api/v1/import", addr, cfg.AccountID)
 	}
 	importPath, err := AddExtraLabelsToImportPath(importPath, cfg.ExtraLabels)

app/vmgateway/README.md

@@ -1,3 +1,3 @@
-See vmgateway docs [here](https://docs.victoriametrics.com/vmgateway.html).
+See vmgateway docs [here](https://docs.victoriametrics.com/vmgateway/).
 
 vmgateway docs can be edited at [docs/vmgateway.md](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/docs/vmgateway.md).

app/vminsert/common/insert_ctx_pool.go

@@ -2,23 +2,16 @@ package common
 
 import (
 	"sync"
-
-	"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
 )
 
 // GetInsertCtx returns InsertCtx from the pool.
 //
 // Call PutInsertCtx for returning it to the pool.
 func GetInsertCtx() *InsertCtx {
-	select {
-	case ctx := <-insertCtxPoolCh:
-		return ctx
-	default:
-		if v := insertCtxPool.Get(); v != nil {
-			return v.(*InsertCtx)
-		}
-		return &InsertCtx{}
+	if v := insertCtxPool.Get(); v != nil {
+		return v.(*InsertCtx)
 	}
+	return &InsertCtx{}
 }
 
 // PutInsertCtx returns ctx to the pool.
@@ -26,12 +19,7 @@ func GetInsertCtx() *InsertCtx {
 // ctx cannot be used after the call.
 func PutInsertCtx(ctx *InsertCtx) {
 	ctx.Reset(0)
-	select {
-	case insertCtxPoolCh <- ctx:
-	default:
-		insertCtxPool.Put(ctx)
-	}
+	insertCtxPool.Put(ctx)
 }
 
 var insertCtxPool sync.Pool
-var insertCtxPoolCh = make(chan *InsertCtx, cgroup.AvailableCPUs())

app/vminsert/common/streamaggr.go

@@ -20,20 +20,22 @@ import (
 
 var (
 	streamAggrConfig = flag.String("streamAggr.config", "", "Optional path to file with stream aggregation config. "+
-		"See https://docs.victoriametrics.com/stream-aggregation.html . "+
+		"See https://docs.victoriametrics.com/stream-aggregation/ . "+
 		"See also -streamAggr.keepInput, -streamAggr.dropInput and -streamAggr.dedupInterval")
 	streamAggrKeepInput = flag.Bool("streamAggr.keepInput", false, "Whether to keep all the input samples after the aggregation with -streamAggr.config. "+
 		"By default, only aggregated samples are dropped, while the remaining samples are stored in the database. "+
-		"See also -streamAggr.dropInput and https://docs.victoriametrics.com/stream-aggregation.html")
+		"See also -streamAggr.dropInput and https://docs.victoriametrics.com/stream-aggregation/")
 	streamAggrDropInput = flag.Bool("streamAggr.dropInput", false, "Whether to drop all the input samples after the aggregation with -streamAggr.config. "+
 		"By default, only aggregated samples are dropped, while the remaining samples are stored in the database. "+
-		"See also -streamAggr.keepInput and https://docs.victoriametrics.com/stream-aggregation.html")
+		"See also -streamAggr.keepInput and https://docs.victoriametrics.com/stream-aggregation/")
 	streamAggrDedupInterval = flag.Duration("streamAggr.dedupInterval", 0, "Input samples are de-duplicated with this interval before optional aggregation with -streamAggr.config . "+
-		"See also -streamAggr.dropInputLabels and -dedup.minScrapeInterval and https://docs.victoriametrics.com/stream-aggregation.html#deduplication")
+		"See also -streamAggr.dropInputLabels and -dedup.minScrapeInterval and https://docs.victoriametrics.com/stream-aggregation/#deduplication")
 	streamAggrDropInputLabels = flagutil.NewArrayString("streamAggr.dropInputLabels", "An optional list of labels to drop from samples "+
-		"before stream de-duplication and aggregation . See https://docs.victoriametrics.com/stream-aggregation.html#dropping-unneeded-labels")
+		"before stream de-duplication and aggregation . See https://docs.victoriametrics.com/stream-aggregation/#dropping-unneeded-labels")
+	streamAggrIgnoreFirstIntervals = flag.Int("streamAggr.ignoreFirstIntervals", 0, "Number of aggregation intervals to skip after the start. Increase this value if you observe incorrect aggregation results after restarts. It could be caused by receiving unordered delayed data from clients pushing data into the database. "+
+		"See https://docs.victoriametrics.com/stream-aggregation/#ignore-aggregation-intervals-on-start")
 	streamAggrIgnoreOldSamples = flag.Bool("streamAggr.ignoreOldSamples", false, "Whether to ignore input samples with old timestamps outside the current aggregation interval. "+
-		"See https://docs.victoriametrics.com/stream-aggregation.html#ignoring-old-samples")
+		"See https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples")
 )
 
 var (
@@ -56,9 +58,10 @@ func CheckStreamAggrConfig() error {
 	}
 	pushNoop := func(_ []prompbmarshal.TimeSeries) {}
 	opts := &streamaggr.Options{
-		DedupInterval:    *streamAggrDedupInterval,
-		DropInputLabels:  *streamAggrDropInputLabels,
-		IgnoreOldSamples: *streamAggrIgnoreOldSamples,
+		DedupInterval:        *streamAggrDedupInterval,
+		DropInputLabels:      *streamAggrDropInputLabels,
+		IgnoreOldSamples:     *streamAggrIgnoreOldSamples,
+		IgnoreFirstIntervals: *streamAggrIgnoreFirstIntervals,
 	}
 	sas, err := streamaggr.LoadFromFile(*streamAggrConfig, pushNoop, opts)
 	if err != nil {
@@ -84,9 +87,10 @@ func InitStreamAggr() {
 	sighupCh := procutil.NewSighupChan()
 
 	opts := &streamaggr.Options{
-		DedupInterval:    *streamAggrDedupInterval,
-		DropInputLabels:  *streamAggrDropInputLabels,
-		IgnoreOldSamples: *streamAggrIgnoreOldSamples,
+		DedupInterval:        *streamAggrDedupInterval,
+		DropInputLabels:      *streamAggrDropInputLabels,
+		IgnoreOldSamples:     *streamAggrIgnoreOldSamples,
+		IgnoreFirstIntervals: *streamAggrIgnoreFirstIntervals,
 	}
 	sas, err := streamaggr.LoadFromFile(*streamAggrConfig, pushAggregateSeries, opts)
 	if err != nil {
@@ -117,9 +121,10 @@ func reloadStreamAggrConfig() {
 	saCfgReloads.Inc()
 
 	opts := &streamaggr.Options{
-		DedupInterval:    *streamAggrDedupInterval,
-		DropInputLabels:  *streamAggrDropInputLabels,
-		IgnoreOldSamples: *streamAggrIgnoreOldSamples,
+		DedupInterval:        *streamAggrDedupInterval,
+		DropInputLabels:      *streamAggrDropInputLabels,
+		IgnoreOldSamples:     *streamAggrIgnoreOldSamples,
+		IgnoreFirstIntervals: *streamAggrIgnoreFirstIntervals,
 	}
 	sasNew, err := streamaggr.LoadFromFile(*streamAggrConfig, pushAggregateSeries, opts)
 	if err != nil {

app/vminsert/influx/request_handler.go

@@ -9,7 +9,6 @@ import (
 	"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/common"
 	"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/relabel"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
-	"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompb"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
 	parserCommon "github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/common"
@@ -166,25 +165,15 @@ func (ctx *pushCtx) reset() {
 }
 
 func getPushCtx() *pushCtx {
-	select {
-	case ctx := <-pushCtxPoolCh:
-		return ctx
-	default:
-		if v := pushCtxPool.Get(); v != nil {
-			return v.(*pushCtx)
-		}
-		return &pushCtx{}
+	if v := pushCtxPool.Get(); v != nil {
+		return v.(*pushCtx)
 	}
+	return &pushCtx{}
 }
 
 func putPushCtx(ctx *pushCtx) {
 	ctx.reset()
-	select {
-	case pushCtxPoolCh <- ctx:
-	default:
-		pushCtxPool.Put(ctx)
-	}
+	pushCtxPool.Put(ctx)
 }
 
 var pushCtxPool sync.Pool
-var pushCtxPoolCh = make(chan *pushCtx, cgroup.AvailableCPUs())

app/vminsert/native/request_handler.go

@@ -6,7 +6,6 @@ import (
 
 	"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/common"
 	"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/relabel"
-	"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
 	parserCommon "github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/common"
@@ -90,25 +89,15 @@ func (ctx *pushCtx) reset() {
 }
 
 func getPushCtx() *pushCtx {
-	select {
-	case ctx := <-pushCtxPoolCh:
-		return ctx
-	default:
-		if v := pushCtxPool.Get(); v != nil {
-			return v.(*pushCtx)
-		}
-		return &pushCtx{}
+	if v := pushCtxPool.Get(); v != nil {
+		return v.(*pushCtx)
 	}
+	return &pushCtx{}
 }
 
 func putPushCtx(ctx *pushCtx) {
 	ctx.reset()
-	select {
-	case pushCtxPoolCh <- ctx:
-	default:
-		pushCtxPool.Put(ctx)
-	}
+	pushCtxPool.Put(ctx)
 }
 
 var pushCtxPool sync.Pool
-var pushCtxPoolCh = make(chan *pushCtx, cgroup.AvailableCPUs())

app/vminsert/vmimport/request_handler.go

@@ -6,7 +6,6 @@ import (
 
 	"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/common"
 	"github.com/VictoriaMetrics/VictoriaMetrics/app/vminsert/relabel"
-	"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
 	parserCommon "github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/common"
@@ -96,25 +95,15 @@ func (ctx *pushCtx) reset() {
 }
 
 func getPushCtx() *pushCtx {
-	select {
-	case ctx := <-pushCtxPoolCh:
-		return ctx
-	default:
-		if v := pushCtxPool.Get(); v != nil {
-			return v.(*pushCtx)
-		}
-		return &pushCtx{}
+	if v := pushCtxPool.Get(); v != nil {
+		return v.(*pushCtx)
 	}
+	return &pushCtx{}
 }
 
 func putPushCtx(ctx *pushCtx) {
 	ctx.reset()
-	select {
-	case pushCtxPoolCh <- ctx:
-	default:
-		pushCtxPool.Put(ctx)
-	}
+	pushCtxPool.Put(ctx)
 }
 
 var pushCtxPool sync.Pool
-var pushCtxPoolCh = make(chan *pushCtx, cgroup.AvailableCPUs())

app/vmrestore/README.md

@@ -1,3 +1,3 @@
-See vmrestore docs [here](https://docs.victoriametrics.com/vmrestore.html).
+See vmrestore docs [here](https://docs.victoriametrics.com/vmrestore/).
 
 vmrestore docs can be edited at [docs/vmrestore.md](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/docs/vmrestore.md).

app/vmrestore/main.go

@@ -74,7 +74,7 @@ func usage() {
 	const s = `
 vmrestore restores VictoriaMetrics data from backups made by vmbackup.
 
-See the docs at https://docs.victoriametrics.com/vmrestore.html .
+See the docs at https://docs.victoriametrics.com/vmrestore/ .
 `
 	flagutil.Usage(s)
 }

app/vmselect/main.go

@@ -99,7 +99,7 @@ func RequestHandler(w http.ResponseWriter, r *http.Request) bool {
 
 	// Strip /prometheus and /graphite prefixes in order to provide path compatibility with cluster version
 	//
-	// See https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#url-format
+	// See https://docs.victoriametrics.com/cluster-victoriametrics/#url-format
 	switch {
 	case strings.HasPrefix(path, "/prometheus/"):
 		path = path[len("/prometheus"):]

app/vmselect/prometheus/expand-with-exprs.qtpl

@@ -21,13 +21,13 @@ textarea { margin: 1em }
   <form method="get">
     <div>
       <p>
-        <a href="https://docs.victoriametrics.com/MetricsQL.html">MetricsQL</a> query with optional WITH expressions:
+        <a href="https://docs.victoriametrics.com/metricsql/">MetricsQL</a> query with optional WITH expressions:
       </p>
       <textarea name="query" style="height: 15em; width: 90%">{%s q %}</textarea><br/>
       <input type="submit" value="Expand" />
 
       <p>
-        <a href="https://docs.victoriametrics.com/MetricsQL.html">MetricsQL</a> query after expanding WITH expressions and applying other optimizations:
+        <a href="https://docs.victoriametrics.com/metricsql/">MetricsQL</a> query after expanding WITH expressions and applying other optimizations:
       </p>
       <textarea style="height: 5em; width: 90%" readonly="readonly">{%= expandWithExprs(q) %}</textarea>
     </div>
@@ -79,7 +79,7 @@ textarea { margin: 1em }
 {% endstripspace %}
 
 {% func withExprsTutorial() %}
-<h3>Tutorial for WITH expressions in <a href="https://docs.victoriametrics.com/MetricsQL.html">MetricsQL</a></h3>
+<h3>Tutorial for WITH expressions in <a href="https://docs.victoriametrics.com/metricsql/">MetricsQL</a></h3>
 
 <p>
     Let's look at the following real query from <a href="https://grafana.com/grafana/dashboards/1860">Node Exporter Full</a> dashboard:

app/vmselect/prometheus/expand-with-exprs.qtpl.go

@@ -28,11 +28,11 @@ var (
 //line app/vmselect/prometheus/expand-with-exprs.qtpl:9
 func StreamExpandWithExprsResponse(qw422016 *qt422016.Writer, q string) {
 //line app/vmselect/prometheus/expand-with-exprs.qtpl:9
-	qw422016.N().S(`<html><head><title>Expand WITH expressions</title><style>p { font-weight: bold }textarea { margin: 1em }</style></head><body><div><form method="get"><div><p><a href="https://docs.victoriametrics.com/MetricsQL.html">MetricsQL</a> query with optional WITH expressions:</p><textarea name="query" style="height: 15em; width: 90%">`)
+	qw422016.N().S(`<html><head><title>Expand WITH expressions</title><style>p { font-weight: bold }textarea { margin: 1em }</style></head><body><div><form method="get"><div><p><a href="https://docs.victoriametrics.com/metricsql/">MetricsQL</a> query with optional WITH expressions:</p><textarea name="query" style="height: 15em; width: 90%">`)
 //line app/vmselect/prometheus/expand-with-exprs.qtpl:26
 	qw422016.E().S(q)
 //line app/vmselect/prometheus/expand-with-exprs.qtpl:26
-	qw422016.N().S(`</textarea><br/><input type="submit" value="Expand" /><p><a href="https://docs.victoriametrics.com/MetricsQL.html">MetricsQL</a> query after expanding WITH expressions and applying other optimizations:</p><textarea style="height: 5em; width: 90%" readonly="readonly">`)
+	qw422016.N().S(`</textarea><br/><input type="submit" value="Expand" /><p><a href="https://docs.victoriametrics.com/metricsql/">MetricsQL</a> query after expanding WITH expressions and applying other optimizations:</p><textarea style="height: 5em; width: 90%" readonly="readonly">`)
 //line app/vmselect/prometheus/expand-with-exprs.qtpl:32
 	streamexpandWithExprs(qw422016, q)
 //line app/vmselect/prometheus/expand-with-exprs.qtpl:32
@@ -192,7 +192,7 @@ func ExpandWithExprsJSONResponse(q string) string {
 func streamwithExprsTutorial(qw422016 *qt422016.Writer) {
 //line app/vmselect/prometheus/expand-with-exprs.qtpl:81
 	qw422016.N().S(`
-<h3>Tutorial for WITH expressions in <a href="https://docs.victoriametrics.com/MetricsQL.html">MetricsQL</a></h3>
+<h3>Tutorial for WITH expressions in <a href="https://docs.victoriametrics.com/metricsql/">MetricsQL</a></h3>
 
 <p>
     Let's look at the following real query from <a href="https://grafana.com/grafana/dashboards/1860">Node Exporter Full</a> dashboard:

app/vmselect/promql/binary_op.go

@@ -23,8 +23,8 @@ var binaryOpFuncs = map[string]binaryOpFunc{
 	"atan2": newBinaryOpArithFunc(binaryop.Atan2),
 
 	// cmp ops
-	"==": newBinaryOpCmpFunc(binaryop.Eq),
-	"!=": newBinaryOpCmpFunc(binaryop.Neq),
+	"==": binaryOpEqFunc,
+	"!=": binaryOpNeqFunc,
 	">":  newBinaryOpCmpFunc(binaryop.Gt),
 	"<":  newBinaryOpCmpFunc(binaryop.Lt),
 	">=": newBinaryOpCmpFunc(binaryop.Gte),
@@ -54,6 +54,84 @@ type binaryOpFuncArg struct {
 
 type binaryOpFunc func(bfa *binaryOpFuncArg) ([]*timeseries, error)
 
+func binaryOpEqFunc(bfa *binaryOpFuncArg) ([]*timeseries, error) {
+	if !isUnionFunc(bfa.be.Left) && !isUnionFunc(bfa.be.Right) {
+		return binaryOpEqStdFunc(bfa)
+	}
+
+	// Special case for `q == (1,2,3)`
+	left := bfa.left
+	right := bfa.right
+	if isUnionFunc(bfa.be.Left) {
+		left, right = right, left
+	}
+	if len(left) == 0 || len(right) == 0 {
+		return nil, nil
+	}
+	for _, tsLeft := range left {
+		values := tsLeft.Values
+		for j, v := range values {
+			if !containsValueAt(right, v, j) {
+				values[j] = nan
+			}
+		}
+	}
+	// Do not remove time series containing only NaNs, since then the `(foo op bar) default N`
+	// won't work as expected if `(foo op bar)` results to NaN series.
+	return left, nil
+}
+
+func binaryOpNeqFunc(bfa *binaryOpFuncArg) ([]*timeseries, error) {
+	if !isUnionFunc(bfa.be.Left) && !isUnionFunc(bfa.be.Right) {
+		return binaryOpNeqStdFunc(bfa)
+	}
+
+	// Special case for `q != (1,2,3)`
+	left := bfa.left
+	right := bfa.right
+	if isUnionFunc(bfa.be.Left) {
+		left, right = right, left
+	}
+	if len(left) == 0 {
+		return nil, nil
+	}
+	if len(right) == 0 {
+		return left, nil
+	}
+	for _, tsLeft := range left {
+		values := tsLeft.Values
+		for j, v := range values {
+			if containsValueAt(right, v, j) {
+				values[j] = nan
+			}
+		}
+	}
+	// Do not remove time series containing only NaNs, since then the `(foo op bar) default N`
+	// won't work as expected if `(foo op bar)` results to NaN series.
+	return left, nil
+}
+
+func isUnionFunc(e metricsql.Expr) bool {
+	if fe, ok := e.(*metricsql.FuncExpr); ok && (fe.Name == "" || strings.ToLower(fe.Name) == "union") {
+		return true
+	}
+	return false
+}
+
+func containsValueAt(tss []*timeseries, v float64, idx int) bool {
+	for _, ts := range tss {
+		if ts.Values[idx] == v {
+			return true
+		}
+	}
+	return false
+}
+
+var (
+	binaryOpEqStdFunc  = newBinaryOpCmpFunc(binaryop.Eq)
+	binaryOpNeqStdFunc = newBinaryOpCmpFunc(binaryop.Neq)
+)
+
 func newBinaryOpCmpFunc(cf func(left, right float64) bool) binaryOpFunc {
 	cfe := func(left, right float64, isBool bool) float64 {
 		if !isBool {
@@ -327,7 +405,7 @@ func resetMetricGroupIfRequired(be *metricsql.BinaryOpExpr, ts *timeseries) {
 	}
 	if be.KeepMetricNames {
 		// Do not reset MetricGroup if it is explicitly requested via `a op b keep_metric_names`
-		// See https://docs.victoriametrics.com/MetricsQL.html#keep_metric_names
+		// See https://docs.victoriametrics.com/metricsql/#keep_metric_names
 		return
 	}
 

app/vmselect/promql/exec.go

@@ -13,6 +13,7 @@ import (
 	"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage"
 	"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/querystats"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
+	"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/querytracer"
 	"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
 	"github.com/VictoriaMetrics/metrics"
@@ -26,6 +27,12 @@ var (
 		`For example, foo{bar=~"a.b.c"} will be automatically converted to foo{bar=~"a\\.b\\.c"}, i.e. all the dots in regexp filters will be automatically escaped `+
 		`in order to match only dot char instead of matching any char. Dots in ".+", ".*" and ".{n}" regexps aren't escaped. `+
 		`This option is DEPRECATED in favor of {__graphite__="a.*.c"} syntax for selecting metrics matching the given Graphite metrics filter`)
+	disableImplicitConversion = flag.Bool("search.disableImplicitConversion", false, "Whether to return an error for queries that rely on implicit subquery conversions, "+
+		"see https://docs.victoriametrics.com/metricsql/#subqueries for details. "+
+		"See also -search.logImplicitConversion.")
+	logImplicitConversion = flag.Bool("search.logImplicitConversion", false, "Whether to log queries with implicit subquery conversions, "+
+		"see https://docs.victoriametrics.com/metricsql/#subqueries for details. "+
+		"Such conversion can be disabled using -search.disableImplicitConversion.")
 )
 
 // UserReadableError is a type of error which supposed to be returned to the user without additional context.
@@ -63,6 +70,16 @@ func Exec(qt *querytracer.Tracer, ec *EvalConfig, q string, isFirstPointOnly boo
 		return nil, err
 	}
 
+	if *disableImplicitConversion || *logImplicitConversion {
+		complete := isSubQueryComplete(e, false)
+		if !complete && *disableImplicitConversion {
+			return nil, fmt.Errorf("query contains subquery that requires implicit conversion and is rejected according to `-search.disableImplicitConversion=true` setting. See https://docs.victoriametrics.com/metricsql/#subqueries for details")
+		}
+		if !complete && *logImplicitConversion {
+			logger.Warnf("query=%q contains subquery that requires implicit conversion, see https://docs.victoriametrics.com/metricsql/#subqueries for details", e.AppendString(nil))
+		}
+	}
+
 	qid := activeQueriesV.Add(ec, q)
 	rv, err := evalExpr(qt, ec, e)
 	activeQueriesV.Remove(qid)
@@ -404,3 +421,55 @@ func (pc *parseCache) Put(q string, pcv *parseCacheValue) {
 	pc.m[q] = pcv
 	pc.mu.Unlock()
 }
+
+// isSubQueryComplete checks if expr contains incomplete subquery
+func isSubQueryComplete(e metricsql.Expr, isSubExpr bool) bool {
+	switch exp := e.(type) {
+	case *metricsql.FuncExpr:
+		if isSubExpr {
+			return false
+		}
+		fe := e.(*metricsql.FuncExpr)
+		for _, arg := range exp.Args {
+			if getRollupFunc(fe.Name) != nil {
+				isSubExpr = true
+			}
+			if !isSubQueryComplete(arg, isSubExpr) {
+				return false
+			}
+		}
+	case *metricsql.RollupExpr:
+		if _, ok := exp.Expr.(*metricsql.MetricExpr); ok {
+			return true
+		}
+		// exp.Step is optional in subqueries
+		if exp.Window == nil {
+			return false
+		}
+		return isSubQueryComplete(exp.Expr, false)
+	case *metricsql.AggrFuncExpr:
+		if isSubExpr {
+			return false
+		}
+		for _, arg := range exp.Args {
+			if !isSubQueryComplete(arg, false) {
+				return false
+			}
+		}
+	case *metricsql.BinaryOpExpr:
+		if isSubExpr {
+			return false
+		}
+		if !isSubQueryComplete(exp.Left, false) {
+			return false
+		}
+		if !isSubQueryComplete(exp.Right, false) {
+			return false
+		}
+	case *metricsql.MetricExpr:
+		return true
+	default:
+		return true
+	}
+	return true
+}

app/vmselect/promql/exec_test.go

@@ -5203,9 +5203,24 @@ func TestExecSuccess(t *testing.T) {
 		resultExpected := []netstorage.Result{r}
 		f(q, resultExpected)
 	})
-	t.Run(`sum(union-args)`, func(t *testing.T) {
+	t.Run(`sum(union-scalars)`, func(t *testing.T) {
 		t.Parallel()
 		q := `sum((1, 2, 3))`
+		r := netstorage.Result{
+			MetricName: metricNameExpected,
+			Values:     []float64{6, 6, 6, 6, 6, 6},
+			Timestamps: timestampsExpected,
+		}
+		resultExpected := []netstorage.Result{r}
+		f(q, resultExpected)
+	})
+	t.Run(`sum(union-vectors)`, func(t *testing.T) {
+		t.Parallel()
+		q := `sum((
+			alias(1, "foo"),
+			alias(2, "foo"),
+			alias(3, "foo"),
+		))`
 		r := netstorage.Result{
 			MetricName: metricNameExpected,
 			Values:     []float64{1, 1, 1, 1, 1, 1},
@@ -5763,6 +5778,51 @@ func TestExecSuccess(t *testing.T) {
 		resultExpected := []netstorage.Result{r}
 		f(q, resultExpected)
 	})
+	t.Run(`equal-list`, func(t *testing.T) {
+		t.Parallel()
+		q := `time() == (100, 1000, 1400, 600)`
+		r := netstorage.Result{
+			MetricName: metricNameExpected,
+			Values:     []float64{1000, nan, 1400, nan, nan, nan},
+			Timestamps: timestampsExpected,
+		}
+		resultExpected := []netstorage.Result{r}
+		f(q, resultExpected)
+	})
+	t.Run(`equal-list-reverse`, func(t *testing.T) {
+		t.Parallel()
+		q := `(100, 1000, 1400, 600) == time()`
+		r := netstorage.Result{
+			MetricName: metricNameExpected,
+			Values:     []float64{1000, nan, 1400, nan, nan, nan},
+			Timestamps: timestampsExpected,
+		}
+		resultExpected := []netstorage.Result{r}
+		f(q, resultExpected)
+	})
+	t.Run(`not-equal-list`, func(t *testing.T) {
+		t.Parallel()
+		q := `alias(time(), "foobar") != UNIon(100, 1000, 1400, 600)`
+		r := netstorage.Result{
+			MetricName: metricNameExpected,
+			Values:     []float64{nan, 1200, nan, 1600, 1800, 2000},
+			Timestamps: timestampsExpected,
+		}
+		r.MetricName.MetricGroup = []byte("foobar")
+		resultExpected := []netstorage.Result{r}
+		f(q, resultExpected)
+	})
+	t.Run(`not-equal-list-reverse`, func(t *testing.T) {
+		t.Parallel()
+		q := `(100, 1000, 1400, 600) != time()`
+		r := netstorage.Result{
+			MetricName: metricNameExpected,
+			Values:     []float64{nan, 1200, nan, 1600, 1800, 2000},
+			Timestamps: timestampsExpected,
+		}
+		resultExpected := []netstorage.Result{r}
+		f(q, resultExpected)
+	})
 	t.Run(`quantiles_over_time(single_sample)`, func(t *testing.T) {
 		t.Parallel()
 		q := `sort_by_label(
@@ -9372,3 +9432,104 @@ func testAddLabels(t *testing.T, mn *storage.MetricName, labels ...string) {
 		})
 	}
 }
+
+func TestIsSubQueryCompleteTrue(t *testing.T) {
+	f := func(q string) {
+		t.Helper()
+		e, err := metricsql.Parse(q)
+		if err != nil {
+			t.Fatal(err)
+		}
+		if !isSubQueryComplete(e, false) {
+			t.Fatalf("query should be complete: %s", e.AppendString(nil))
+		}
+	}
+
+	f("rate(http_total)")
+	f("sum(http_total)")
+	f("absent(http_total)")
+	f("rate(http_total[1m])")
+	f("avg_over_time(up[1m])")
+	f("sum(http_total[1m])")
+	f("sum(rate(http_total))")
+	f("sum(sum(http_total))")
+	f(`sum(sum_over_time(http_total[1m] )) by (instance)`)
+	f("sum(up{cluster='a'}[1m] or up{cluster='b'}[1m])")
+	f("(avg_over_time(alarm_test1[1m]) - avg_over_time(alarm_test1[1m] offset 5m)) > 0.1")
+	f("http_total[1m] offset 1m")
+
+	// subquery
+	f("rate(http_total)[5m:1m]")
+	f("rate(sum(http_total)[5m:1m])")
+	f("rate(rate(http_total)[5m:1m])")
+	f("sum(rate(http_total[1m]))")
+	f("sum(rate(sum(http_total)[5m:1m]))")
+	f("rate(sum(rate(http_total))[5m:1m])")
+	f("rate(sum(sum(http_total))[5m:1m])")
+	f("rate(sum(rate(http_total))[5m:1m])")
+	f("rate(sum(sum(http_total))[5m:1m])")
+	f("avg_over_time(rate(http_total[5m])[5m:1m])")
+	f("delta(avg_over_time(up[1m])[5m:1m]) > 0.1")
+	f("avg_over_time(avg by (site) (metric)[2m:1m])")
+
+	f("sum(http_total)[5m:1m] offset 1m")
+	f("round(sum(sum_over_time(http_total[1m])) by (instance)) [5m:1m] offset 1m")
+
+	f("rate(sum(http_total)[5m:1m]) - rate(sum(http_total)[5m:1m])")
+	f("avg_over_time((rate(http_total)-rate(http_total))[5m:1m])")
+
+	f("sum_over_time((up{cluster='a'} or up{cluster='b'})[5m:1m])")
+	f("sum_over_time((up{cluster='a'} or up{cluster='b'})[5m:1m])")
+	f("sum(sum_over_time((up{cluster='a'} or up{cluster='b'})[5m:1m])) by (instance)")
+
+	// step (or resolution) is optional in subqueries
+	f("max_over_time(rate(my_counter_total[5m])[1h:])")
+	f("max_over_time(rate(my_counter_total[5m])[1h:1m])[5m:1m]")
+	f("max_over_time(rate(my_counter_total[5m])[1h:])[5m:]")
+
+	f(`
+WITH (
+    cpuSeconds = node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"},
+    cpuIdle = rate(cpuSeconds{mode='idle'}[5m])
+)
+max_over_time(cpuIdle[1h:])`)
+}
+
+func TestIsSubQueryCompleteFalse(t *testing.T) {
+	f := func(q string) {
+		t.Helper()
+		e, err := metricsql.Parse(q)
+		if err != nil {
+			t.Fatal(err)
+		}
+		if isSubQueryComplete(e, false) {
+			t.Fatalf("expect to detect incomplete subquery: %s", e.AppendString(nil))
+		}
+	}
+
+	f("rate(sum(http_total))")
+	f("rate(rate(http_total))")
+	f("sum(rate(sum(http_total)))")
+	f("rate(sum(rate(http_total)))")
+	f("rate(sum(sum(http_total)))")
+	f("avg_over_time(rate(http_total[5m]))")
+
+	// https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3974
+	f("sum(http_total) offset 1m")
+	f(`round(sum(sum_over_time(http_total[1m])) by (instance)) offset 1m`)
+
+	f("rate(sum(http_total)) - rate(sum(http_total))")
+	f("avg_over_time(rate(http_total)-rate(http_total))")
+
+	// https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3996
+	f("sum_over_time(up{cluster='a'} or up{cluster='b'})")
+	f("sum_over_time(up{cluster='a'}[1m] or up{cluster='b'}[1m])")
+	f("sum(sum_over_time(up{cluster='a'}[1m] or up{cluster='b'}[1m])) by (instance)")
+
+	f(`
+WITH (
+    cpuSeconds = node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"},
+    cpuIdle = rate(cpuSeconds{mode='idle'}[5m])
+)
+max_over_time(cpuIdle)`)
+}

app/vmselect/promql/transform.go

@@ -1658,6 +1658,16 @@ func transformUnion(tfa *transformFuncArg) ([]*timeseries, error) {
 		return evalNumber(tfa.ec, nan), nil
 	}
 
+	if areAllArgsScalar(args) {
+		// Special case for (v1,...,vN) where vX are scalars - return all the scalars as time series.
+		// This is needed for "q == (v1,...,vN)" and "q != (v1,...,vN)" cases, where vX are numeric constants.
+		rvs := make([]*timeseries, len(args))
+		for i, arg := range args {
+			rvs[i] = arg[0]
+		}
+		return rvs, nil
+	}
+
 	rvs := make([]*timeseries, 0, len(args[0]))
 	m := make(map[string]bool, len(args[0]))
 	bb := bbPool.Get()
@@ -1676,6 +1686,15 @@ func transformUnion(tfa *transformFuncArg) ([]*timeseries, error) {
 	return rvs, nil
 }
 
+func areAllArgsScalar(args [][]*timeseries) bool {
+	for _, arg := range args {
+		if !isScalar(arg) {
+			return false
+		}
+	}
+	return true
+}
+
 func transformLabelKeep(tfa *transformFuncArg) ([]*timeseries, error) {
 	args := tfa.args
 	if len(args) < 1 {

app/vmselect/vmui/asset-manifest.json

@@ -1,13 +1,13 @@
 {
   "files": {
-    "main.css": "./static/css/main.a2ad4674.css",
-    "main.js": "./static/js/main.f9cc1e6c.js",
+    "main.css": "./static/css/main.d0b400e3.css",
+    "main.js": "./static/js/main.59c17910.js",
     "static/js/685.bebe1265.chunk.js": "./static/js/685.bebe1265.chunk.js",
-    "static/media/MetricsQL.md": "./static/media/MetricsQL.10add6e7bdf0f1d98cf7.md",
+    "static/media/MetricsQL.md": "./static/media/MetricsQL.df7574389d8f8bbcf0c7.md",
     "index.html": "./index.html"
   },
   "entrypoints": [
-    "static/css/main.a2ad4674.css",
-    "static/js/main.f9cc1e6c.js"
+    "static/css/main.d0b400e3.css",
+    "static/js/main.59c17910.js"
   ]
 }

app/vmselect/vmui/dashboards/README.md

@@ -1,3 +1,3 @@
 ## Predefined dashboards
 
-See [this docs](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/app/vmui#predefined-dashboards)
+See [this doc](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/app/vmui#predefined-dashboards)

app/vmselect/vmui/index.html

@@ -1 +1 @@
-<!doctype html><html lang="en"><head><meta charset="utf-8"/><link rel="icon" href="./favicon.ico"/><meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=5"/><meta name="theme-color" content="#000000"/><meta name="description" content="UI for VictoriaMetrics"/><link rel="apple-touch-icon" href="./apple-touch-icon.png"/><link rel="icon" type="image/png" sizes="32x32" href="./favicon-32x32.png"><link rel="manifest" href="./manifest.json"/><title>VM UI</title><script src="./dashboards/index.js" type="module"></script><meta name="twitter:card" content="summary_large_image"><meta name="twitter:image" content="./preview.jpg"><meta name="twitter:title" content="UI for VictoriaMetrics"><meta name="twitter:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta name="twitter:site" content="@VictoriaMetrics"><meta property="og:title" content="Metric explorer for VictoriaMetrics"><meta property="og:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta property="og:image" content="./preview.jpg"><meta property="og:type" content="website"><script defer="defer" src="./static/js/main.f9cc1e6c.js"></script><link href="./static/css/main.a2ad4674.css" rel="stylesheet"></head><body><noscript>You need to enable JavaScript to run this app.</noscript><div id="root"></div></body></html>
+<!doctype html><html lang="en"><head><meta charset="utf-8"/><link rel="icon" href="./favicon.ico"/><meta name="viewport" content="width=device-width,initial-scale=1,maximum-scale=5"/><meta name="theme-color" content="#000000"/><meta name="description" content="UI for VictoriaMetrics"/><link rel="apple-touch-icon" href="./apple-touch-icon.png"/><link rel="icon" type="image/png" sizes="32x32" href="./favicon-32x32.png"><link rel="manifest" href="./manifest.json"/><title>VM UI</title><script src="./dashboards/index.js" type="module"></script><meta name="twitter:card" content="summary_large_image"><meta name="twitter:image" content="./preview.jpg"><meta name="twitter:title" content="UI for VictoriaMetrics"><meta name="twitter:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta name="twitter:site" content="@VictoriaMetrics"><meta property="og:title" content="Metric explorer for VictoriaMetrics"><meta property="og:description" content="Explore and troubleshoot your VictoriaMetrics data"><meta property="og:image" content="./preview.jpg"><meta property="og:type" content="website"><script defer="defer" src="./static/js/main.59c17910.js"></script><link href="./static/css/main.d0b400e3.css" rel="stylesheet"></head><body><noscript>You need to enable JavaScript to run this app.</noscript><div id="root"></div></body></html>

app/vmselect/vmui/static/js/main.f9cc1e6c.js.LICENSE.txt

@@ -1,38 +0,0 @@
-/*!
-	Copyright (c) 2018 Jed Watson.
-	Licensed under the MIT License (MIT), see
-	http://jedwatson.github.io/classnames
-*/
-
-/**
- * @remix-run/router v1.15.1
- *
- * Copyright (c) Remix Software Inc.
- *
- * This source code is licensed under the MIT license found in the
- * LICENSE.md file in the root directory of this source tree.
- *
- * @license MIT
- */
-
-/**
- * React Router DOM v6.22.1
- *
- * Copyright (c) Remix Software Inc.
- *
- * This source code is licensed under the MIT license found in the
- * LICENSE.md file in the root directory of this source tree.
- *
- * @license MIT
- */
-
-/**
- * React Router v6.22.1
- *
- * Copyright (c) Remix Software Inc.
- *
- * This source code is licensed under the MIT license found in the
- * LICENSE.md file in the root directory of this source tree.
- *
- * @license MIT
- */

app/vmstorage/main.go

@@ -61,13 +61,13 @@ var (
 	minFreeDiskSpaceBytes = flagutil.NewBytes("storage.minFreeDiskSpaceBytes", 10e6, "The minimum free disk space at -storageDataPath after which the storage stops accepting new data")
 
 	cacheSizeStorageTSID = flagutil.NewBytes("storage.cacheSizeStorageTSID", 0, "Overrides max size for storage/tsid cache. "+
-		"See https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#cache-tuning")
+		"See https://docs.victoriametrics.com/single-server-victoriametrics/#cache-tuning")
 	cacheSizeIndexDBIndexBlocks = flagutil.NewBytes("storage.cacheSizeIndexDBIndexBlocks", 0, "Overrides max size for indexdb/indexBlocks cache. "+
-		"See https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#cache-tuning")
+		"See https://docs.victoriametrics.com/single-server-victoriametrics/#cache-tuning")
 	cacheSizeIndexDBDataBlocks = flagutil.NewBytes("storage.cacheSizeIndexDBDataBlocks", 0, "Overrides max size for indexdb/dataBlocks cache. "+
-		"See https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#cache-tuning")
+		"See https://docs.victoriametrics.com/single-server-victoriametrics/#cache-tuning")
 	cacheSizeIndexDBTagFilters = flagutil.NewBytes("storage.cacheSizeIndexDBTagFilters", 0, "Overrides max size for indexdb/tagFiltersToMetricIDs cache. "+
-		"See https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#cache-tuning")
+		"See https://docs.victoriametrics.com/single-server-victoriametrics/#cache-tuning")
 )
 
 // CheckTimeRange returns true if the given tr is denied for querying.

app/vmui/packages/vmui/src/assets/MetricsQL.md

@@ -22,7 +22,7 @@ However, there are some [intentional differences](https://medium.com/@romanhavro
 [Standalone MetricsQL package](https://godoc.org/github.com/VictoriaMetrics/metricsql) can be used for parsing MetricsQL in external apps.
 
 If you are unfamiliar with PromQL, then it is suggested reading [this tutorial for beginners](https://medium.com/@valyala/promql-tutorial-for-beginners-9ab455142085)
-and introduction into [basic querying via MetricsQL](https://docs.victoriametrics.com/keyConcepts.html#metricsql).
+and introduction into [basic querying via MetricsQL](https://docs.victoriametrics.com/keyconcepts/#metricsql).
 
 The following functionality is implemented differently in MetricsQL compared to PromQL. This improves user experience:
 
@@ -70,15 +70,17 @@ The list of MetricsQL features on top of PromQL:
   VictoriaMetrics can be used as Graphite datasource in Grafana. See [these docs](https://docs.victoriametrics.com/#graphite-api-usage) for details.
   See also [label_graphite_group](#label_graphite_group) function, which can be used for extracting the given groups from Graphite metric name.
 * Lookbehind window in square brackets for [rollup functions](#rollup-functions) may be omitted. VictoriaMetrics automatically selects the lookbehind window
-  depending on the `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query)
+  depending on the `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query)
   and the real interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) (aka `scrape_interval`).
   For instance, the following query is valid in VictoriaMetrics: `rate(node_network_receive_bytes_total)`.
   It is roughly equivalent to `rate(node_network_receive_bytes_total[$__interval])` when used in Grafana.
   The difference is documented in [rate() docs](#rate).
 * Numeric values can contain `_` delimiters for better readability. For example, `1_234_567_890` can be used in queries instead of `1234567890`.
-* [Series selectors](https://docs.victoriametrics.com/keyConcepts.html#filtering) accept multiple `or` filters. For example, `{env="prod",job="a" or env="dev",job="b"}`
+* [Series selectors](https://docs.victoriametrics.com/keyconcepts/#filtering) accept multiple `or` filters. For example, `{env="prod",job="a" or env="dev",job="b"}`
   selects series with `{env="prod",job="a"}` or `{env="dev",job="b"}` labels.
-  See [these docs](https://docs.victoriametrics.com/keyConcepts.html#filtering-by-multiple-or-filters) for details.
+  See [these docs](https://docs.victoriametrics.com/keyconcepts/#filtering-by-multiple-or-filters) for details.
+* Support for matching against multiple numeric constants via `q == (C1, ..., CN)` and `q != (C1, ..., CN)` syntax. For example, `status_code == (300, 301, 304)`
+  returns `status_code` metrics with one of `300`, `301` or `304` values.
 * Support for `group_left(*)` and `group_right(*)` for copying all the labels from time series on the `one` side
   of [many-to-one operations](https://prometheus.io/docs/prometheus/latest/querying/operators/#many-to-one-and-one-to-many-vector-matches).
   The copied label names may clash with the existing label names, so MetricsQL provides an ability to add prefix to the copied metric names
@@ -152,27 +154,27 @@ MetricsQL provides the following functions:
 
 ### Rollup functions
 
-**Rollup functions** (aka range functions or window functions) calculate rollups over **raw samples**
-on the given lookbehind window for the [selected time series](https://docs.victoriametrics.com/keyConcepts.html#filtering).
-For example, `avg_over_time(temperature[24h])` calculates the average temperature over raw samples for the last 24 hours.
+**Rollup functions** (aka range functions or window functions) calculate rollups over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window for the [selected time series](https://docs.victoriametrics.com/keyconcepts/#filtering).
+For example, `avg_over_time(temperature[24h])` calculates the average temperature over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) for the last 24 hours.
 
 Additional details:
 
 * If rollup functions are used for building graphs in Grafana, then the rollup is calculated independently per each point on the graph.
   For example, every point for `avg_over_time(temperature[24h])` graph shows the average temperature for the last 24 hours ending at this point.
-  The interval between points is set as `step` query arg passed by Grafana to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query).
-* If the given [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) returns multiple time series,
+  The interval between points is set as `step` query arg passed by Grafana to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query).
+* If the given [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering) returns multiple time series,
   then rollups are calculated individually per each returned series.
 * If lookbehind window in square brackets is missing, then it is automatically set to the following value:
-  - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query)
+  - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query)
     for all the [rollup functions](#rollup-functions) except of [default_rollup](#default_rollup) and [rate](#rate). This value is known as `$__interval` in Grafana or `1i` in MetricsQL.
     For example, `avg_over_time(temperature)` is automatically transformed to `avg_over_time(temperature[1i])`.
   - To the `max(step, scrape_interval)`, where `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
     for [default_rollup](#default_rollup) and [rate](#rate) functions. This allows avoiding unexpected gaps on the graph when `step` is smaller than `scrape_interval`.
-* Every [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) in MetricsQL must be wrapped into a rollup function.
+* Every [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering) in MetricsQL must be wrapped into a rollup function.
   Otherwise, it is automatically wrapped into [default_rollup](#default_rollup). For example, `foo{bar="baz"}`
   is automatically converted to `default_rollup(foo{bar="baz"})` before performing the calculations.
-* If something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) is passed to rollup function,
+* If something other than [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering) is passed to rollup function,
   then the inner arg is automatically converted to a [subquery](#subqueries).
 * All the rollup functions accept optional `keep_metric_names` modifier. If it is set, then the function keeps metric names in results.
   See [these docs](#keep_metric_names).
@@ -184,7 +186,7 @@ The list of supported rollup functions:
 #### absent_over_time
 
 `absent_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns 1
-if the given lookbehind window `d` doesn't contain raw samples. Otherwise, it returns an empty result.
+if the given lookbehind window `d` doesn't contain [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples). Otherwise, it returns an empty result.
 
 This function is supported by PromQL.
 
@@ -193,9 +195,9 @@ See also [present_over_time](#present_over_time).
 #### aggr_over_time
 
 `aggr_over_time(("rollup_func1", "rollup_func2", ...), series_selector[d])` is a [rollup function](#rollup-functions),
-which calculates all the listed `rollup_func*` for raw samples on the given lookbehind window `d`.
+which calculates all the listed `rollup_func*` for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d`.
 The calculations are performed individually per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 `rollup_func*` can contain any rollup function. For instance, `aggr_over_time(("min_over_time", "max_over_time", "rate"), m[d])`
 would calculate [min_over_time](#min_over_time), [max_over_time](#max_over_time) and [rate](#rate) for `m[d]`.
@@ -203,8 +205,8 @@ would calculate [min_over_time](#min_over_time), [max_over_time](#max_over_time)
 #### ascent_over_time
 
 `ascent_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates
-ascent of raw sample values on the given lookbehind window `d`. The calculations are performed individually
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+ascent of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) values on the given lookbehind window `d`. The calculations are performed individually
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is useful for tracking height gains in GPS tracking. Metric names are stripped from the resulting rollups.
 
@@ -215,8 +217,8 @@ See also [descent_over_time](#descent_over_time).
 #### avg_over_time
 
 `avg_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the average value
-over raw samples on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is supported by PromQL.
 
@@ -225,8 +227,8 @@ See also [median_over_time](#median_over_time).
 #### changes
 
 `changes(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of times
-the raw samples changed on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+the [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) changed on the given lookbehind window `d` per each time series returned
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Unlike `changes()` in Prometheus it takes into account the change from the last sample before the given lookbehind window `d`.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
@@ -240,8 +242,8 @@ See also [changes_prometheus](#changes_prometheus).
 #### changes_prometheus
 
 `changes_prometheus(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of times
-the raw samples changed on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+the [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) changed on the given lookbehind window `d` per each time series returned
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 It doesn't take into account the change from the last sample before the given lookbehind window `d` in the same way as Prometheus does.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
@@ -254,9 +256,9 @@ See also [changes](#changes).
 
 #### count_eq_over_time
 
-`count_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-functions), which calculates the number of raw samples
+`count_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-functions), which calculates the number of [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d`, which are equal to `eq`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -264,9 +266,9 @@ See also [count_over_time](#count_over_time), [share_eq_over_time](#share_eq_ove
 
 #### count_gt_over_time
 
-`count_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-functions), which calculates the number of raw samples
+`count_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-functions), which calculates the number of [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d`, which are bigger than `gt`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -274,9 +276,9 @@ See also [count_over_time](#count_over_time) and [share_gt_over_time](#share_gt_
 
 #### count_le_over_time
 
-`count_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-functions), which calculates the number of raw samples
+`count_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-functions), which calculates the number of [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d`, which don't exceed `le`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -284,9 +286,9 @@ See also [count_over_time](#count_over_time) and [share_le_over_time](#share_le_
 
 #### count_ne_over_time
 
-`count_ne_over_time(series_selector[d], ne)` is a [rollup function](#rollup-functions), which calculates the number of raw samples
+`count_ne_over_time(series_selector[d], ne)` is a [rollup function](#rollup-functions), which calculates the number of [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d`, which aren't equal to `ne`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -294,8 +296,8 @@ See also [count_over_time](#count_over_time).
 
 #### count_over_time
 
-`count_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`count_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -305,9 +307,9 @@ See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_
 
 #### count_values_over_time
 
-`count_values_over_time("label", series_selector[d])` is a [rollup function](#rollup-functions), which counts the number of raw samples
+`count_values_over_time("label", series_selector[d])` is a [rollup function](#rollup-functions), which counts the number of [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 with the same value over the given lookbehind window and stores the counts in a time series with an additional `label`, which contains each initial value.
-The results are calculated independently per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+The results are calculated independently per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -315,8 +317,8 @@ See also [count_eq_over_time](#count_eq_over_time), [count_values](#count_values
 
 #### decreases_over_time
 
-`decreases_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of raw sample value decreases
-over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`decreases_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+value decreases over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -324,8 +326,8 @@ See also [increases_over_time](#increases_over_time).
 
 #### default_rollup
 
-`default_rollup(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last raw sample value on the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`default_rollup(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+value on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 If the lookbehind window is skipped in square brackets, then it is automatically calculated as `max(step, scrape_interval)`, where `step` is the query arg value
 passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query),
@@ -336,7 +338,7 @@ This allows avoiding unexpected gaps on the graph when `step` is smaller than th
 
 `delta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the difference between
 the last sample before the given lookbehind window `d` and the last sample at the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 The behaviour of `delta()` function in MetricsQL is slightly different to the behaviour of `delta()` function in Prometheus.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
@@ -351,7 +353,7 @@ See also [increase](#increase) and [delta_prometheus](#delta_prometheus).
 
 `delta_prometheus(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the difference between
 the first and the last samples at the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 The behaviour of `delta_prometheus()` is close to the behaviour of `delta()` function in Prometheus.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
@@ -363,7 +365,7 @@ See also [delta](#delta).
 #### deriv
 
 `deriv(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second derivative over the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 The derivative is calculated using linear regression.
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
@@ -375,8 +377,8 @@ See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv).
 #### deriv_fast
 
 `deriv_fast(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second derivative
-using the first and the last raw samples on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+using the first and the last [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -384,9 +386,9 @@ See also [deriv](#deriv) and [ideriv](#ideriv).
 
 #### descent_over_time
 
-`descent_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates descent of raw sample values
-on the given lookbehind window `d`. The calculations are performed individually per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`descent_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates descent of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+values on the given lookbehind window `d`. The calculations are performed individually per each time series returned
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is useful for tracking height loss in GPS tracking.
 
@@ -396,8 +398,8 @@ See also [ascent_over_time](#ascent_over_time).
 
 #### distinct_over_time
 
-`distinct_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the number of distinct raw sample values
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`distinct_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the number of unique [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+values on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -406,7 +408,7 @@ See also [count_values_over_time](#count_values_over_time).
 #### duration_over_time
 
 `duration_over_time(series_selector[d], max_interval)` is a [rollup function](#rollup-functions), which returns the duration in seconds
-when time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) were present
+when time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering) were present
 over the given lookbehind window `d`. It is expected that intervals between adjacent samples per each series don't exceed the `max_interval`.
 Otherwise, such intervals are considered as gaps and aren't counted.
 
@@ -416,26 +418,26 @@ See also [lifetime](#lifetime) and [lag](#lag).
 
 #### first_over_time
 
-`first_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the first raw sample value
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`first_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the first [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+value on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 See also [last_over_time](#last_over_time) and [tfirst_over_time](#tfirst_over_time).
 
 #### geomean_over_time
 
 `geomean_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates [geometric mean](https://en.wikipedia.org/wiki/Geometric_mean)
-over raw samples on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
 #### histogram_over_time
 
 `histogram_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates
-[VictoriaMetrics histogram](https://godoc.org/github.com/VictoriaMetrics/metrics#Histogram) over raw samples on the given lookbehind window `d`.
-It is calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+[VictoriaMetrics histogram](https://godoc.org/github.com/VictoriaMetrics/metrics#Histogram) over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d`. It is calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 The resulting histograms are useful to pass to [histogram_quantile](#histogram_quantile) for calculating quantiles
-over multiple [gauges](https://docs.victoriametrics.com/keyConcepts.html#gauge).
+over multiple [gauges](https://docs.victoriametrics.com/keyconcepts/#gauge).
 For example, the following query calculates median temperature by country over the last 24 hours:
 
 `histogram_quantile(0.5, sum(histogram_over_time(temperature[24h])) by (vmrange,country))`.
@@ -457,10 +459,10 @@ See also [hoeffding_bound_lower](#hoeffding_bound_lower).
 #### holt_winters
 
 `holt_winters(series_selector[d], sf, tf)` is a [rollup function](#rollup-functions), which calculates Holt-Winters value
-(aka [double exponential smoothing](https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing)) for raw samples
+(aka [double exponential smoothing](https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing)) for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 over the given lookbehind window `d` using the given smoothing factor `sf` and the given trend factor `tf`.
-Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering)
-returns time series of [gauge type](https://docs.victoriametrics.com/keyConcepts.html#gauge).
+Both `sf` and `tf` must be in the range `[0...1]`. It is expected that the [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering)
+returns time series of [gauge type](https://docs.victoriametrics.com/keyconcepts/#gauge).
 
 This function is supported by PromQL.
 
@@ -468,8 +470,8 @@ See also [range_linear_regression](#range_linear_regression).
 
 #### idelta
 
-`idelta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the difference between the last two raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`idelta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the difference between the last two [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -479,9 +481,10 @@ See also [delta](#delta).
 
 #### ideriv
 
-`ideriv(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the per-second derivative based on the last two raw samples
+`ideriv(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the per-second derivative based
+on the last two [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 over the given lookbehind window `d`. The derivative is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -490,8 +493,8 @@ See also [deriv](#deriv).
 #### increase
 
 `increase(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase over the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#counter).
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
 
 Unlike Prometheus, it takes into account the last sample before the given lookbehind window `d` when calculating the result.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
@@ -505,8 +508,8 @@ See also [increase_pure](#increase_pure), [increase_prometheus](#increase_promet
 #### increase_prometheus
 
 `increase_prometheus(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the increase
-over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#counter).
+over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
 It doesn't take into account the last sample before the given lookbehind window `d` when calculating the result in the same way as Prometheus does.
 See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details.
 
@@ -517,13 +520,13 @@ See also [increase_pure](#increase_pure) and [increase](#increase).
 #### increase_pure
 
 `increase_pure(series_selector[d])` is a [rollup function](#rollup-functions), which works the same as [increase](#increase) except
-of the following corner case - it assumes that [counters](https://docs.victoriametrics.com/keyConcepts.html#counter) always start from 0,
+of the following corner case - it assumes that [counters](https://docs.victoriametrics.com/keyconcepts/#counter) always start from 0,
 while [increase](#increase) ignores the first value in a series if it is too big.
 
 #### increases_over_time
 
-`increases_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of raw sample value increases
-over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`increases_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+value increases over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -531,16 +534,17 @@ See also [decreases_over_time](#decreases_over_time).
 
 #### integrate
 
-`integrate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the integral over raw samples on the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`integrate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the integral over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
 #### irate
 
-`irate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the "instant" per-second increase rate over the last two raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#counter).
+`irate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the "instant" per-second increase rate over
+the last two [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -552,7 +556,7 @@ See also [rate](#rate) and [rollup_rate](#rollup_rate).
 
 `lag(series_selector[d])` is a [rollup function](#rollup-functions), which returns the duration in seconds between the last sample
 on the given lookbehind window `d` and the timestamp of the current point. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -560,8 +564,8 @@ See also [lifetime](#lifetime) and [duration_over_time](#duration_over_time).
 
 #### last_over_time
 
-`last_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last raw sample value on the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`last_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+value on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is supported by PromQL.
 
@@ -570,7 +574,7 @@ See also [first_over_time](#first_over_time) and [tlast_over_time](#tlast_over_t
 #### lifetime
 
 `lifetime(series_selector[d])` is a [rollup function](#rollup-functions), which returns the duration in seconds between the last and the first sample
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -579,14 +583,15 @@ See also [duration_over_time](#duration_over_time) and [lag](#lag).
 #### mad_over_time
 
 `mad_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates [median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation)
-over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 See also [mad](#mad), [range_mad](#range_mad) and [outlier_iqr_over_time](#outlier_iqr_over_time).
 
 #### max_over_time
 
-`max_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the maximum value over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`max_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the maximum value over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is supported by PromQL.
 
@@ -594,16 +599,16 @@ See also [tmax_over_time](#tmax_over_time).
 
 #### median_over_time
 
-`median_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates median value over raw samples
+`median_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates median value over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 See also [avg_over_time](#avg_over_time).
 
 #### min_over_time
 
-`min_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the minimum value over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`min_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the minimum value over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is supported by PromQL.
 
@@ -612,15 +617,16 @@ See also [tmin_over_time](#tmin_over_time).
 #### mode_over_time
 
 `mode_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates [mode](https://en.wikipedia.org/wiki/Mode_(statistics))
-for raw samples on the given lookbehind window `d`. It is calculated individually per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). It is expected that raw sample values are discrete.
+for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d`. It is calculated individually per each time series returned
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). It is expected that [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+values are discrete.
 
 #### outlier_iqr_over_time
 
 `outlier_iqr_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the last sample on the given lookbehind window `d`
 if its value is either smaller than the `q25-1.5*iqr` or bigger than `q75+1.5*iqr` where:
-- `iqr` is an [Interquartile range](https://en.wikipedia.org/wiki/Interquartile_range) over raw samples on the lookbehind window `d`
-- `q25` and `q75` are 25th and 75th [percentiles](https://en.wikipedia.org/wiki/Percentile) over raw samples on the lookbehind window `d`.
+- `iqr` is an [Interquartile range](https://en.wikipedia.org/wiki/Interquartile_range) over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the lookbehind window `d`
+- `q25` and `q75` are 25th and 75th [percentiles](https://en.wikipedia.org/wiki/Percentile) over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the lookbehind window `d`.
 
 The `outlier_iqr_over_time()` is useful for detecting anomalies in gauge values based on the previous history of values.
 For example, `outlier_iqr_over_time(memory_usage_bytes[1h])` triggers when `memory_usage_bytes` suddenly goes outside the usual value range for the last hour.
@@ -630,8 +636,8 @@ See also [outliers_iqr](#outliers_iqr).
 #### predict_linear
 
 `predict_linear(series_selector[d], t)` is a [rollup function](#rollup-functions), which calculates the value `t` seconds in the future using
-linear interpolation over raw samples on the given lookbehind window `d`. The predicted value is calculated individually per each time series
-returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+linear interpolation over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d`.
+The predicted value is calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is supported by PromQL.
 
@@ -639,7 +645,7 @@ See also [range_linear_regression](#range_linear_regression).
 
 #### present_over_time
 
-`present_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns 1 if there is at least a single raw sample
+`present_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns 1 if there is at least a single [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d`. Otherwise, an empty result is returned.
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
@@ -648,8 +654,8 @@ This function is supported by PromQL.
 
 #### quantile_over_time
 
-`quantile_over_time(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates `phi`-quantile over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`quantile_over_time(phi, series_selector[d])` is a [rollup function](#rollup-functions), which calculates `phi`-quantile over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 The `phi` value must be in the range `[0...1]`.
 
 This function is supported by PromQL.
@@ -659,16 +665,16 @@ See also [quantiles_over_time](#quantiles_over_time).
 #### quantiles_over_time
 
 `quantiles_over_time("phiLabel", phi1, ..., phiN, series_selector[d])` is a [rollup function](#rollup-functions), which calculates `phi*`-quantiles
-over raw samples on the given lookbehind window `d` per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` per each time series returned
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 The function returns individual series per each `phi*` with `{phiLabel="phi*"}` label. `phi*` values must be in the range `[0...1]`.
 
 See also [quantile_over_time](#quantile_over_time).
 
 #### range_over_time
 
-`range_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates value range over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`range_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates value range over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 E.g. it calculates `max_over_time(series_selector[d]) - min_over_time(series_selector[d])`.
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
@@ -676,8 +682,8 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
 #### rate
 
 `rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the average per-second increase rate
-over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#counter).
+over the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
 
 If the lookbehind window is skipped in square brackets, then it is automatically calculated as `max(step, scrape_interval)`, where `step` is the query arg value
 passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query),
@@ -692,18 +698,18 @@ See also [irate](#irate) and [rollup_rate](#rollup_rate).
 
 #### rate_over_sum
 
-`rate_over_sum(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second rate over the sum of raw samples
+`rate_over_sum(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second rate over the sum of [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d`. The calculations are performed individually per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
 #### resets
 
 `resets(series_selector[d])` is a [rollup function](#rollup-functions), which returns the number
-of [counter](https://docs.victoriametrics.com/keyConcepts.html#counter) resets over the given lookbehind window `d`
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
-It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyConcepts.html#counter).
+of [counter](https://docs.victoriametrics.com/keyconcepts/#counter) resets over the given lookbehind window `d`
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
+It is expected that the `series_selector` returns time series of [counter type](https://docs.victoriametrics.com/keyconcepts/#counter).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -711,9 +717,9 @@ This function is supported by PromQL.
 
 #### rollup
 
-`rollup(series_selector[d])` is a [rollup function](#rollup-functions), which calculates `min`, `max` and `avg` values for raw samples
+`rollup(series_selector[d])` is a [rollup function](#rollup-functions), which calculates `min`, `max` and `avg` values for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d` and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
-These values are calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+These values are calculated individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
@@ -721,19 +727,20 @@ See also [label_match](#label_match).
 #### rollup_candlestick
 
 `rollup_candlestick(series_selector[d])` is a [rollup function](#rollup-functions), which calculates `open`, `high`, `low` and `close` values (aka OHLC)
-over raw samples on the given lookbehind window `d` and returns them in time series with `rollup="open"`, `rollup="high"`, `rollup="low"` and `rollup="close"` additional labels.
+over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` and returns them in time series
+with `rollup="open"`, `rollup="high"`, `rollup="low"` and `rollup="close"` additional labels.
 The calculations are performed individually per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering). This function is useful for financial applications.
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering). This function is useful for financial applications.
 
 Optional 2nd argument `"open"`, `"high"` or `"low"` or `"close"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
 
 #### rollup_delta
 
-`rollup_delta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates differences between adjacent raw samples
+`rollup_delta(series_selector[d])` is a [rollup function](#rollup-functions), which calculates differences between adjacent [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated differences
 and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
-The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
@@ -745,9 +752,9 @@ See also [rollup_increase](#rollup_increase).
 #### rollup_deriv
 
 `rollup_deriv(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second derivatives
-for adjacent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated per-second derivatives
-and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
-The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+for adjacent [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` and returns `min`, `max` and `avg` values
+for the calculated per-second derivatives and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
+The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
@@ -756,10 +763,10 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
 
 #### rollup_increase
 
-`rollup_increase(series_selector[d])` is a [rollup function](#rollup-functions), which calculates increases for adjacent raw samples
+`rollup_increase(series_selector[d])` is a [rollup function](#rollup-functions), which calculates increases for adjacent [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated increases
 and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
-The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
@@ -768,7 +775,8 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
 
 #### rollup_rate
 
-`rollup_rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second change rates for adjacent raw samples
+`rollup_rate(series_selector[d])` is a [rollup function](#rollup-functions), which calculates per-second change rates
+for adjacent [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated per-second change rates
 and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
 
@@ -778,16 +786,16 @@ when to use `rollup_rate()`.
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
 
-The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
 #### rollup_scrape_interval
 
 `rollup_scrape_interval(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the interval in seconds between
-adjacent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated interval
+adjacent [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated interval
 and returns them in time series with `rollup="min"`, `rollup="max"` and `rollup="avg"` additional labels.
-The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+The calculations are performed individually per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Optional 2nd argument `"min"`, `"max"` or `"avg"` can be passed to keep only one calculation result and without adding a label.
 See also [label_match](#label_match).
@@ -796,8 +804,9 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
 
 #### scrape_interval
 
-`scrape_interval(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the average interval in seconds between raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`scrape_interval(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the average interval in seconds
+between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -805,9 +814,10 @@ See also [rollup_scrape_interval](#rollup_scrape_interval).
 
 #### share_gt_over_time
 
-`share_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-functions), which returns share (in the range `[0...1]`) of raw samples
+`share_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-functions), which returns share (in the range `[0...1]`)
+of [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d`, which are bigger than `gt`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is useful for calculating SLI and SLO. Example: `share_gt_over_time(up[24h], 0)` - returns service availability for the last 24 hours.
 
@@ -817,9 +827,10 @@ See also [share_le_over_time](#share_le_over_time) and [count_gt_over_time](#cou
 
 #### share_le_over_time
 
-`share_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-functions), which returns share (in the range `[0...1]`) of raw samples
+`share_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-functions), which returns share (in the range `[0...1]`)
+of [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d`, which are smaller or equal to `le`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 This function is useful for calculating SLI and SLO. Example: `share_le_over_time(memory_usage_bytes[24h], 100*1024*1024)` returns
 the share of time series values for the last 24 hours when memory usage was below or equal to 100MB.
@@ -830,9 +841,10 @@ See also [share_gt_over_time](#share_gt_over_time) and [count_le_over_time](#cou
 
 #### share_eq_over_time
 
-`share_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-functions), which returns share (in the range `[0...1]`) of raw samples
+`share_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-functions), which returns share (in the range `[0...1]`)
+of [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 on the given lookbehind window `d`, which are equal to `eq`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -841,15 +853,15 @@ See also [count_eq_over_time](#count_eq_over_time).
 #### stale_samples_over_time
 
 `stale_samples_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the number
-of [staleness markers](https://docs.victoriametrics.com/vmagent.html#prometheus-staleness-markers) on the given lookbehind window `d`
-per each time series matching the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+of [staleness markers](https://docs.victoriametrics.com/vmagent/#prometheus-staleness-markers) on the given lookbehind window `d`
+per each time series matching the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
 #### stddev_over_time
 
-`stddev_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates standard deviation over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`stddev_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates standard deviation over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -859,8 +871,8 @@ See also [stdvar_over_time](#stdvar_over_time).
 
 #### stdvar_over_time
 
-`stdvar_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates standard variance over raw samples
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`stdvar_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates standard variance over [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -870,8 +882,8 @@ See also [stddev_over_time](#stddev_over_time).
 
 #### sum_eq_over_time
 
-`sum_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-function), which calculates the sum of raw sample values equal to `eq`
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`sum_eq_over_time(series_selector[d], eq)` is a [rollup function](#rollup-function), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+values equal to `eq` on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -879,8 +891,8 @@ See also [sum_over_time](#sum_over_time) and [count_eq_over_time](#count_eq_over
 
 #### sum_gt_over_time
 
-`sum_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-function), which calculates the sum of raw sample values bigger than `gt`
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`sum_gt_over_time(series_selector[d], gt)` is a [rollup function](#rollup-function), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+values bigger than `gt` on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -888,8 +900,8 @@ See also [sum_over_time](#sum_over_time) and [count_gt_over_time](#count_gt_over
 
 #### sum_le_over_time
 
-`sum_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-function), which calculates the sum of raw sample values smaller or equal to `le`
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`sum_le_over_time(series_selector[d], le)` is a [rollup function](#rollup-function), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+values smaller or equal to `le` on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -897,8 +909,8 @@ See also [sum_over_time](#sum_over_time) and [count_le_over_time](#count_le_over
 
 #### sum_over_time
 
-`sum_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the sum of raw sample values
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`sum_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the sum of [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples) values
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -906,15 +918,16 @@ This function is supported by PromQL.
 
 #### sum2_over_time
 
-`sum2_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the sum of squares for raw sample values
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`sum2_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which calculates the sum of squares for [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+values on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
 #### timestamp
 
-`timestamp(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the last raw sample
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`timestamp(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision
+for the last [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -924,8 +937,9 @@ See also [time](#time) and [now](#now).
 
 #### timestamp_with_name
 
-`timestamp_with_name(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the last raw sample
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`timestamp_with_name(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision
+for the last [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are preserved in the resulting rollups.
 
@@ -933,8 +947,9 @@ See also [timestamp](#timestamp) and [keep_metric_names](#keep_metric_names) mod
 
 #### tfirst_over_time
 
-`tfirst_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the first raw sample
-on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+`tfirst_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision
+for the first [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
+on the given lookbehind window `d` per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -943,7 +958,7 @@ See also [first_over_time](#first_over_time).
 #### tlast_change_over_time
 
 `tlast_change_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the last change
-per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) on the given lookbehind window `d`.
+per each time series returned from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering) on the given lookbehind window `d`.
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -957,9 +972,10 @@ See also [tlast_change_over_time](#tlast_change_over_time).
 
 #### tmax_over_time
 
-`tmax_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the raw sample
+`tmax_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision
+for the [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 with the maximum value on the given lookbehind window `d`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -967,9 +983,10 @@ See also [max_over_time](#max_over_time).
 
 #### tmin_over_time
 
-`tmin_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision for the raw sample
+`tmin_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns the timestamp in seconds with millisecond precision
+for the [raw sample](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
 with the minimum value on the given lookbehind window `d`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -978,8 +995,8 @@ See also [min_over_time](#min_over_time).
 #### zscore_over_time
 
 `zscore_over_time(series_selector[d])` is a [rollup function](#rollup-functions), which returns [z-score](https://en.wikipedia.org/wiki/Standard_score)
-for raw samples on the given lookbehind window `d`. It is calculated independently per each time series returned
-from the given [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering).
+for [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on the given lookbehind window `d`. It is calculated independently per each time series returned
+from the given [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering).
 
 Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
 
@@ -994,7 +1011,7 @@ returned from the rollup `delta(temperature[24h])`.
 
 Additional details:
 
-* If transform function is applied directly to a [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering),
+* If transform function is applied directly to a [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering),
   then the [default_rollup()](#default_rollup) function is automatically applied before calculating the transformations.
   For example, `abs(temperature)` is implicitly transformed to `abs(default_rollup(temperature))`.
 * All the transform functions accept optional `keep_metric_names` modifier. If it is set,
@@ -1230,7 +1247,7 @@ by replacing all the values bigger or equal to 30 with 40.
 #### end
 
 `end()` is a [transform function](#transform-functions), which returns the unix timestamp in seconds for the last point.
-It is known as `end` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query).
+It is known as `end` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query).
 
 See also [start](#start), [time](#time) and [now](#now).
 
@@ -1653,14 +1670,14 @@ This function is supported by PromQL.
 
 `start()` is a [transform function](#transform-functions), which returns unix timestamp in seconds for the first point.
 
-It is known as `start` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query).
+It is known as `start` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query).
 
 See also [end](#end), [time](#time) and [now](#now).
 
 #### step
 
 `step()` is a [transform function](#transform-functions), which returns the step in seconds (aka interval) between the returned points.
-It is known as `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query).
+It is known as `step` query arg passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query).
 
 See also [start](#start) and [end](#end).
 
@@ -1717,7 +1734,7 @@ This function is supported by PromQL.
 
 Additional details:
 
-* If label manipulation function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering),
+* If label manipulation function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering),
   then the [default_rollup()](#default_rollup) function is automatically applied before performing the label transformation.
   For example, `alias(temperature, "foo")` is implicitly transformed to `alias(default_rollup(temperature), "foo")`.
 
@@ -1894,7 +1911,7 @@ Additional details:
   and calculate the [count](#count) aggregate function independently per each group, while `count(up) without (instance)`
   would group [rollup results](#rollup-functions) by all the labels except `instance` before calculating [count](#count) aggregate function independently per each group.
   Multiple labels can be put in `by` and `without` modifiers.
-* If the aggregate function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering),
+* If the aggregate function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyconcepts/#filtering),
   then the [default_rollup()](#default_rollup) function is automatically applied before calculating the aggregate.
   For example, `count(up)` is implicitly transformed to `count(default_rollup(up))`.
 * Aggregate functions accept arbitrary number of args. For example, `avg(q1, q2, q3)` would return the average values for every point
@@ -2104,7 +2121,7 @@ See also [quantile](#quantile).
 `share(q) by (group_labels)` is [aggregate function](#aggregate-functions), which returns shares in the range `[0..1]`
 for every non-negative points returned by `q` per each timestamp, so the sum of shares per each `group_labels` equals 1.
 
-This function is useful for normalizing [histogram bucket](https://docs.victoriametrics.com/keyConcepts.html#histogram) shares
+This function is useful for normalizing [histogram bucket](https://docs.victoriametrics.com/keyconcepts/#histogram) shares
 into `[0..1]` range:
 
 ```metricsql
@@ -2208,10 +2225,11 @@ See also [zscore_over_time](#zscore_over_time), [range_trim_zscore](#range_trim_
 ## Subqueries
 
 MetricsQL supports and extends PromQL subqueries. See [this article](https://valyala.medium.com/prometheus-subqueries-in-victoriametrics-9b1492b720b3) for details.
-Any [rollup function](#rollup-functions) for something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering) form a subquery.
+Any [rollup function](#rollup-functions) for something other than [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering) form a subquery.
 Nested rollup functions can be implicit thanks to the [implicit query conversions](#implicit-query-conversions).
 For example, `delta(sum(m))` is implicitly converted to `delta(sum(default_rollup(m))[1i:1i])`, so it becomes a subquery,
 since it contains [default_rollup](#default_rollup) nested into [delta](#delta).
+This behavior can be disabled or logged via cmd-line flags `-search.disableImplicitConversion` and `-search.logImplicitConversion` since v1.101.0.
 
 VictoriaMetrics performs subqueries in the following way:
 
@@ -2219,19 +2237,19 @@ VictoriaMetrics performs subqueries in the following way:
   For example, for expression `max_over_time(rate(http_requests_total[5m])[1h:30s])` the inner function `rate(http_requests_total[5m])`
   is calculated with `step=30s`. The resulting data points are aligned by the `step`.
 * It calculates the outer rollup function over the results of the inner rollup function using the `step` value
-  passed by Grafana to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query).
+  passed by Grafana to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query).
 
 ## Implicit query conversions
 
 VictoriaMetrics performs the following implicit conversions for incoming queries before starting the calculations:
 
 * If lookbehind window in square brackets is missing inside [rollup function](#rollup-functions), then it is automatically set to the following value:
-  - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyConcepts.html#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query)
+  - To `step` value passed to [/api/v1/query_range](https://docs.victoriametrics.com/keyconcepts/#range-query) or [/api/v1/query](https://docs.victoriametrics.com/keyconcepts/#instant-query)
     for all the [rollup functions](#rollup-functions) except of [default_rollup](#default_rollup) and [rate](#rate). This value is known as `$__interval` in Grafana or `1i` in MetricsQL.
     For example, `avg_over_time(temperature)` is automatically transformed to `avg_over_time(temperature[1i])`.
   - To the `max(step, scrape_interval)`, where `scrape_interval` is the interval between [raw samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples)
     for [default_rollup](#default_rollup) and [rate](#rate) functions. This allows avoiding unexpected gaps on the graph when `step` is smaller than `scrape_interval`.
-* All the [series selectors](https://docs.victoriametrics.com/keyConcepts.html#filtering),
+* All the [series selectors](https://docs.victoriametrics.com/keyconcepts/#filtering),
   which aren't wrapped into [rollup functions](#rollup-functions), are automatically wrapped into [default_rollup](#default_rollup) function.
   Examples:
   * `foo` is transformed to `default_rollup(foo)`
@@ -2242,6 +2260,7 @@ VictoriaMetrics performs the following implicit conversions for incoming queries
     it is [transform function](#transform-functions)
 * If `step` in square brackets is missing inside [subquery](#subqueries), then `1i` step is automatically added there.
   For example, `avg_over_time(rate(http_requests_total[5m])[1h])` is automatically converted to `avg_over_time(rate(http_requests_total[5m])[1h:1i])`.
-* If something other than [series selector](https://docs.victoriametrics.com/keyConcepts.html#filtering)
+* If something other than [series selector](https://docs.victoriametrics.com/keyconcepts/#filtering)
   is passed to [rollup function](#rollup-functions), then a [subquery](#subqueries) with `1i` lookbehind window and `1i` step is automatically formed.
-  For example, `rate(sum(up))` is automatically converted to `rate((sum(default_rollup(up)))[1i:1i])`.
+  For example, `rate(sum(up))` is automatically converted to `rate((sum(default_rollup(up)))[1i:1i])`. 
+  This behavior can be disabled or logged via cmd-line flags `-search.disableImplicitConversion` and `-search.logImplicitConversion` since v1.101.0.

app/vmui/packages/vmui/src/components/Configurators/QueryEditor/QueryEditor.tsx

@@ -9,6 +9,7 @@ import { partialWarning, seriesFetchedWarning } from "./warningText";
 import { AutocompleteOptions } from "../../Main/Autocomplete/Autocomplete";
 import useDeviceDetect from "../../../hooks/useDeviceDetect";
 import { useQueryState } from "../../../state/query/QueryStateContext";
+import debounce from "lodash.debounce";
 
 export interface QueryEditorProps {
   onChange: (query: string) => void;
@@ -40,9 +41,12 @@ const QueryEditor: FC<QueryEditorProps> = ({
   const { isMobile } = useDeviceDetect();
 
   const [openAutocomplete, setOpenAutocomplete] = useState(false);
-  const [caretPosition, setCaretPosition] = useState([0, 0]);
+  const [caretPosition, setCaretPosition] = useState<[number, number]>([0, 0]);
   const autocompleteAnchorEl = useRef<HTMLInputElement>(null);
 
+  const [showAutocomplete, setShowAutocomplete] = useState(autocomplete);
+  const debouncedSetShowAutocomplete = useRef(debounce(setShowAutocomplete, 500)).current;
+
   const warning = [
     {
       show: stats?.seriesFetched === "0" && !stats.resultLength,
@@ -58,8 +62,9 @@ const QueryEditor: FC<QueryEditorProps> = ({
     label = `${label} (${stats.executionTimeMsec || 0}ms)`;
   }
 
-  const handleSelect = (val: string) => {
+  const handleSelect = (val: string, caretPosition: number) => {
     onChange(val);
+    setCaretPosition([caretPosition, caretPosition]);
   };
 
   const handleKeyDown = (e: KeyboardEvent) => {
@@ -100,14 +105,19 @@ const QueryEditor: FC<QueryEditorProps> = ({
     setOpenAutocomplete(!!val.length);
   };
 
-  const handleChangeCaret = (val: number[]) => {
-    setCaretPosition(val);
+  const handleChangeCaret = (val: [number, number]) => {
+    setCaretPosition(prev => prev[0] === val[0] && prev[1] === val[1] ? prev : val);
   };
 
   useEffect(() => {
     setOpenAutocomplete(autocomplete);
   }, [autocompleteQuick]);
 
+  useEffect(() => {
+    setShowAutocomplete(false);
+    debouncedSetShowAutocomplete(true);
+  }, [caretPosition]);
+
   return (
     <div
       className="vm-query-editor"
@@ -125,12 +135,14 @@ const QueryEditor: FC<QueryEditorProps> = ({
         onChangeCaret={handleChangeCaret}
         disabled={disabled}
         inputmode={"search"}
+        caretPosition={caretPosition}
       />
-      {autocomplete && (
+      {showAutocomplete && autocomplete && (
         <QueryEditorAutocomplete
           value={value}
           anchorEl={autocompleteAnchorEl}
           caretPosition={caretPosition}
+          hasHelperText={Boolean(warning || error)}
           onSelect={handleSelect}
           onFoundOptions={handleChangeFoundOptions}
         />

app/vmui/packages/vmui/src/components/Configurators/QueryEditor/QueryEditorAutocomplete.tsx

@@ -1,7 +1,6 @@
-import React, { FC, Ref, useState, useEffect, useMemo } from "preact/compat";
+import React, { FC, Ref, useState, useEffect, useMemo, useCallback } from "preact/compat";
 import Autocomplete, { AutocompleteOptions } from "../../Main/Autocomplete/Autocomplete";
 import { useFetchQueryOptions } from "../../../hooks/useFetchQueryOptions";
-import { getTextWidth } from "../../../utils/uplot";
 import { escapeRegexp, hasUnclosedQuotes } from "../../../utils/regexp";
 import useGetMetricsQL from "../../../hooks/useGetMetricsQL";
 import { QueryContextType } from "../../../types";
@@ -10,8 +9,9 @@ import { AUTOCOMPLETE_LIMITS } from "../../../constants/queryAutocomplete";
 interface QueryEditorAutocompleteProps {
   value: string;
   anchorEl: Ref<HTMLInputElement>;
-  caretPosition: number[];
-  onSelect: (val: string) => void;
+  caretPosition: [number, number]; // [start, end]
+  hasHelperText: boolean;
+  onSelect: (val: string, caretPosition: number) => void;
   onFoundOptions: (val: AutocompleteOptions[]) => void;
 }
 
@@ -19,16 +19,24 @@ const QueryEditorAutocomplete: FC<QueryEditorAutocompleteProps> = ({
   value,
   anchorEl,
   caretPosition,
+  hasHelperText,
   onSelect,
   onFoundOptions
 }) => {
-  const [leftOffset, setLeftOffset] = useState(0);
+  const [offsetPos, setOffsetPos] = useState({ top: 0, left: 0 });
   const metricsqlFunctions = useGetMetricsQL();
 
+  const values = useMemo(() => {
+    if (caretPosition[0] !== caretPosition[1]) return { beforeCursor: value, afterCursor: "" };
+    const beforeCursor = value.substring(0, caretPosition[0]);
+    const afterCursor = value.substring(caretPosition[1]);
+    return { beforeCursor, afterCursor };
+  }, [value, caretPosition]);
+
   const exprLastPart = useMemo(() => {
-    const parts = value.split("}");
+    const parts = values.beforeCursor.split("}");
     return parts[parts.length - 1];
-  }, [value]);
+  }, [values]);
 
   const metric = useMemo(() => {
     const regexp = /\b[^{}(),\s]+(?={|$)/g;
@@ -43,7 +51,7 @@ const QueryEditorAutocomplete: FC<QueryEditorAutocompleteProps> = ({
   }, [exprLastPart]);
 
   const shouldSuppressAutoSuggestion = (value: string) => {
-    const pattern = /([(),+\-*/^]|\b(?:or|and|unless|default|ifnot|if|group_left|group_right)\b)/;
+    const pattern = /([{(),+\-*/^]|\b(?:or|and|unless|default|ifnot|if|group_left|group_right)\b)/;
     const parts = value.split(/\s+/);
     const partsCount = parts.length;
     const lastPart = parts[partsCount - 1];
@@ -55,7 +63,7 @@ const QueryEditorAutocomplete: FC<QueryEditorAutocompleteProps> = ({
   };
 
   const context = useMemo(() => {
-    if (!value || value.endsWith("}") || shouldSuppressAutoSuggestion(value)) {
+    if (!values.beforeCursor || values.beforeCursor.endsWith("}") || shouldSuppressAutoSuggestion(values.beforeCursor)) {
       return QueryContextType.empty;
     }
 
@@ -63,19 +71,19 @@ const QueryEditorAutocomplete: FC<QueryEditorAutocompleteProps> = ({
     const labelValueRegexp = new RegExp(`(${escapeRegexp(metric)})?{?.+${escapeRegexp(label)}(=|!=|=~|!~)"?([^"]*)$`, "g");
 
     switch (true) {
-      case labelValueRegexp.test(value):
+      case labelValueRegexp.test(values.beforeCursor):
         return QueryContextType.labelValue;
-      case labelRegexp.test(value):
+      case labelRegexp.test(values.beforeCursor):
         return QueryContextType.label;
       default:
         return QueryContextType.metricsql;
     }
-  }, [value, metric, label]);
+  }, [values, metric, label]);
 
   const valueByContext = useMemo(() => {
-    const wordMatch = value.match(/([\w_\-.:/]+(?![},]))$/);
+    const wordMatch = values.beforeCursor.match(/([\w_\-.:/]+(?![},]))$/);
     return wordMatch ? wordMatch[0] : "";
-  }, [value]);
+  }, [values.beforeCursor]);
 
   const { metrics, labels, labelValues, loading } = useFetchQueryOptions({
     valueByContext,
@@ -97,8 +105,10 @@ const QueryEditorAutocomplete: FC<QueryEditorAutocompleteProps> = ({
     }
   }, [context, metrics, labels, labelValues]);
 
-  const handleSelect = (insert: string) => {
+  const handleSelect = useCallback((insert: string) => {
     // Find the start and end of valueByContext in the query string
+    const value = values.beforeCursor;
+    let valueAfterCursor = values.afterCursor;
     const startIndexOfValueByContext = value.lastIndexOf(valueByContext, caretPosition[0]);
     const endIndexOfValueByContext = startIndexOfValueByContext + valueByContext.length;
 
@@ -110,26 +120,59 @@ const QueryEditorAutocomplete: FC<QueryEditorAutocompleteProps> = ({
     if (context === QueryContextType.labelValue) {
       const quote = "\"";
       const needsQuote = /(?:=|!=|=~|!~)$/.test(beforeValueByContext);
+      valueAfterCursor = valueAfterCursor.replace(/^[^\s"|},]*/, "");
       insert = `${needsQuote ? quote : ""}${insert}`;
     }
 
+    if (context === QueryContextType.label) {
+      valueAfterCursor = valueAfterCursor.replace(/^[^\s=!,{}()"|+\-/*^]*/, "");
+    }
+
+    if (context === QueryContextType.metricsql) {
+      valueAfterCursor = valueAfterCursor.replace(/^[^\s[\]{}()"|+\-/*^]*/, "");
+    }
     // Assemble the new value with the inserted text
-    const newVal = `${beforeValueByContext}${insert}${afterValueByContext}`;
-    onSelect(newVal);
-  };
+    const newVal = `${beforeValueByContext}${insert}${afterValueByContext}${valueAfterCursor}`;
+    onSelect(newVal, beforeValueByContext.length + insert.length);
+  }, [values]);
 
   useEffect(() => {
     if (!anchorEl.current) {
-      setLeftOffset(0);
+      setOffsetPos({ top: 0, left: 0 });
       return;
     }
 
-    const style = window.getComputedStyle(anchorEl.current);
+    const element = anchorEl.current.querySelector("textarea") || anchorEl.current;
+    const style = window.getComputedStyle(element);
     const fontSize = `${style.getPropertyValue("font-size")}`;
     const fontFamily = `${style.getPropertyValue("font-family")}`;
-    const offset = getTextWidth(value, `${fontSize} ${fontFamily}`);
-    setLeftOffset(offset);
-  }, [anchorEl, caretPosition]);
+    const lineHeight = parseInt(`${style.getPropertyValue("line-height")}`);
+
+    const span = document.createElement("div");
+    span.style.font = `${fontSize} ${fontFamily}`;
+    span.style.padding = style.getPropertyValue("padding");
+    span.style.lineHeight = `${lineHeight}px`;
+    span.style.width = `${element.offsetWidth}px`;
+    span.style.maxWidth = `${element.offsetWidth}px`;
+    span.style.whiteSpace = style.getPropertyValue("white-space");
+    span.style.overflowWrap = style.getPropertyValue("overflow-wrap");
+
+    const marker = document.createElement("span");
+    span.appendChild(document.createTextNode(values.beforeCursor));
+    span.appendChild(marker);
+    span.appendChild(document.createTextNode(values.afterCursor));
+    document.body.appendChild(span);
+
+    const spanRect = span.getBoundingClientRect();
+    const markerRect = marker.getBoundingClientRect();
+
+    const leftOffset = markerRect.left - spanRect.left;
+    const topOffset = markerRect.bottom - spanRect.bottom - (hasHelperText ? lineHeight : 0);
+    setOffsetPos({ top: topOffset, left: leftOffset });
+
+    span.remove();
+    marker.remove();
+  }, [anchorEl, caretPosition, hasHelperText]);
 
   return (
     <>
@@ -140,7 +183,7 @@ const QueryEditorAutocomplete: FC<QueryEditorAutocompleteProps> = ({
         options={options}
         anchor={anchorEl}
         minLength={0}
-        offset={{ top: 0, left: leftOffset }}
+        offset={offsetPos}
         onSelect={handleSelect}
         onFoundOptions={onFoundOptions}
         maxDisplayResults={{

app/vmui/packages/vmui/src/components/Configurators/QueryEditor/style.scss

@@ -2,4 +2,13 @@
 
 .vm-query-editor {
   position: relative;
+
+  .marker-detection {
+    position: absolute;
+    top: 0;
+    left: 0;
+    pointer-events: none;
+    z-index: -9999;
+    visibility: hidden;
+  }
 }

app/vmui/packages/vmui/src/components/Main/Autocomplete/Autocomplete.tsx

@@ -120,7 +120,7 @@ const Autocomplete: FC<AutocompleteProps> = ({
   const handleKeyDown = useCallback((e: KeyboardEvent) => {
     const { key, ctrlKey, metaKey, shiftKey } = e;
     const modifiers = ctrlKey || metaKey || shiftKey;
-    const hasOptions = foundOptions.length;
+    const hasOptions = foundOptions.length && !hideFoundedOptions;
 
     if (key === "ArrowUp" && !modifiers && hasOptions) {
       e.preventDefault();
@@ -148,7 +148,7 @@ const Autocomplete: FC<AutocompleteProps> = ({
     if (key === "Escape") {
       handleCloseAutocomplete();
     }
-  }, [focusOption, foundOptions, handleCloseAutocomplete, onSelect, selected]);
+  }, [focusOption, foundOptions, hideFoundedOptions, handleCloseAutocomplete, onSelect, selected]);
 
   useEffect(() => {
     setOpenAutocomplete(value.length >= minLength);

app/vmui/packages/vmui/src/components/Main/Select/Select.tsx

@@ -72,6 +72,10 @@ const Select: FC<SelectProps> = ({
     setOpenList(true);
   };
 
+  const handleBlur = () => {
+    list.includes(search) && onChange(search);
+  };
+
   const handleToggleList = (e: MouseEvent<HTMLDivElement>) => {
     if (e.target instanceof HTMLInputElement || disabled) return;
     setOpenList(prev => !prev);
@@ -142,6 +146,7 @@ const Select: FC<SelectProps> = ({
               placeholder={placeholder}
               onInput={handleChange}
               onFocus={handleFocus}
+              onBlur={handleBlur}
               ref={inputRef}
               readOnly={isMobile || !searchable}
             />

app/vmui/packages/vmui/src/components/Main/TextField/TextField.tsx

@@ -1,6 +1,7 @@
 import React, {
   FC,
   useEffect,
+  useState,
   useRef,
   useMemo,
   FormEvent,
@@ -28,12 +29,13 @@ interface TextFieldProps {
   autofocus?: boolean
   helperText?: string
   inputmode?: "search" | "text" | "email" | "tel" | "url" | "none" | "numeric" | "decimal"
+  caretPosition?: [number, number]
   onChange?: (value: string) => void
   onEnter?: () => void
   onKeyDown?: (e: KeyboardEvent) => void
   onFocus?: () => void
   onBlur?: () => void
-  onChangeCaret?: (position: number[]) => void
+  onChangeCaret?: (position: [number, number]) => void
 }
 
 const TextField: FC<TextFieldProps> = ({
@@ -49,6 +51,7 @@ const TextField: FC<TextFieldProps> = ({
   disabled = false,
   autofocus = false,
   inputmode = "text",
+  caretPosition,
   onChange,
   onEnter,
   onKeyDown,
@@ -62,6 +65,7 @@ const TextField: FC<TextFieldProps> = ({
   const inputRef = useRef<HTMLInputElement>(null);
   const textareaRef = useRef<HTMLTextAreaElement>(null);
   const fieldRef = useMemo(() => type === "textarea" ? textareaRef : inputRef, [type]);
+  const [selectionPos, setSelectionPos] = useState<[start: number, end: number]>([0, 0]);
 
   const inputClasses = classNames({
     "vm-text-field__input": true,
@@ -74,7 +78,7 @@ const TextField: FC<TextFieldProps> = ({
 
   const updateCaretPosition = (target: HTMLInputElement | HTMLTextAreaElement) => {
     const { selectionStart, selectionEnd } = target;
-    onChangeCaret && onChangeCaret([selectionStart || 0, selectionEnd || 0]);
+    setSelectionPos([selectionStart || 0, selectionEnd || 0]);
   };
 
   const handleMouseUp = (e: MouseEvent<HTMLInputElement | HTMLTextAreaElement>) => {
@@ -102,11 +106,6 @@ const TextField: FC<TextFieldProps> = ({
     updateCaretPosition(e.currentTarget);
   };
 
-  useEffect(() => {
-    if (!autofocus || isMobile) return;
-    fieldRef?.current?.focus && fieldRef.current.focus();
-  }, [fieldRef, autofocus]);
-
   const handleFocus = () => {
     onFocus && onFocus();
   };
@@ -115,6 +114,31 @@ const TextField: FC<TextFieldProps> = ({
     onBlur && onBlur();
   };
 
+  const setSelectionRange = (range: [number, number]) => {
+    try {
+      fieldRef.current && fieldRef.current.setSelectionRange(range[0], range[1]);
+    }  catch (e) {
+      return e;
+    }
+  };
+
+  useEffect(() => {
+    if (!autofocus || isMobile) return;
+    fieldRef?.current?.focus && fieldRef.current.focus();
+  }, [fieldRef, autofocus]);
+
+  useEffect(() => {
+    onChangeCaret && onChangeCaret(selectionPos);
+  }, [selectionPos]);
+
+  useEffect(() => {
+    setSelectionRange(selectionPos);
+  }, [value]);
+
+  useEffect(() => {
+    caretPosition && setSelectionRange(caretPosition);
+  }, [caretPosition]);
+
   return <label
     className={classNames({
       "vm-text-field": true,

app/vmui/packages/vmui/src/components/Main/TextField/style.scss

@@ -9,7 +9,7 @@
   &_textarea:after {
     content: attr(data-replicated-value) " ";
     white-space: pre-wrap;
-    word-wrap: break-word;
+    overflow-wrap: break-word;
     visibility: hidden;
   }
 

app/vmui/packages/vmui/src/hooks/useFetchQuery.ts

@@ -153,9 +153,17 @@ export const useFetchQuery = ({
       setTraces(tempTraces);
       setIsHistogram(prev => totalLength ? isHistogramResult : prev);
     } catch (e) {
-      if (e instanceof Error && e.name !== "AbortError") {
-        setError(`${e.name}: ${e.message}`);
+      const error = e as Error;
+      if (error.name === "AbortError") {
+        // Aborts are expected, don't show an error for them.
+        return;
       }
+      const helperText = "Please check your serverURL settings and confirm server availability.";
+      let text = `Error executing query: ${error.message}. ${helperText}`;
+      if (error.message === "Unexpected end of JSON input") {
+        text += "\nAdditionally, this error can occur if the server response is too large to process. Apply more specific filters to reduce the data volume.";
+      }
+      setError(text);
     }
     setIsLoading(false);
   };

app/vmui/packages/vmui/src/hooks/useFetchQueryOptions.tsx

@@ -96,6 +96,7 @@ export const useFetchQueryOptions = ({ valueByContext, metric, label, context }:
       const cachedData = autocompleteCache.get(key);
       if (cachedData) {
         setter(processData(cachedData, type));
+        setLoading(false);
         return;
       }
       const response = await fetch(`${serverUrl}/api/v1/${urlSuffix}?${params}`, { signal });
@@ -104,13 +105,13 @@ export const useFetchQueryOptions = ({ valueByContext, metric, label, context }:
         setter(processData(data, type));
         queryDispatch({ type: "SET_AUTOCOMPLETE_CACHE", payload: { key, value: data } });
       }
+      setLoading(false);
     } catch (e) {
       if (e instanceof Error && e.name !== "AbortError") {
         queryDispatch({ type: "SET_AUTOCOMPLETE_CACHE", payload: { key, value: [] } });
+        setLoading(false);
         console.error(e);
       }
-    } finally {
-      setLoading(false);
     }
   };
 

dashboards/victoriametrics-cluster.json

@@ -2973,7 +2973,7 @@
             "type": "prometheus",
             "uid": "$ds"
           },
-          "description": "Shows the rate and total number of new series created over last 24h.\n\nHigh [churn rate](https://docs.victoriametrics.com/faq/#what-is-high-churn-rate) tightly connected with database performance and may result in unexpected OOM's or slow queries. It is recommended to always keep an eye on this metric to avoid unexpected [cardinality](https://docs.victoriametrics.com/keyconcepts/#cardinality) \"explosions\".\n\nThe higher churn rate is, the more resources required to handle it. Consider to keep the churn rate as low as possible.\n\nTo investigate stats about most expensive series use `api/v1/status/tsdb` handler. More details here https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#url-format\n\nGood references to read:\n* https://www.robustperception.io/cardinality-is-key\n* https://valyala.medium.com/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b",
+          "description": "Shows the rate and total number of new series created over last 24h.\n\nHigh [churn rate](https://docs.victoriametrics.com/faq/#what-is-high-churn-rate) tightly connected with database performance and may result in unexpected OOM's or slow queries. It is recommended to always keep an eye on this metric to avoid unexpected [cardinality](https://docs.victoriametrics.com/keyconcepts/#cardinality) \"explosions\".\n\nThe higher churn rate is, the more resources required to handle it. Consider to keep the churn rate as low as possible.\n\nTo investigate stats about most expensive series use `api/v1/status/tsdb` handler. More details here https://docs.victoriametrics.com/cluster-victoriametrics/#url-format\n\nGood references to read:\n* https://www.robustperception.io/cardinality-is-key\n* https://valyala.medium.com/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b",
           "fieldConfig": {
             "defaults": {
               "color": {
@@ -3271,7 +3271,7 @@
             {
               "targetBlank": true,
               "title": "Readonly mode",
-              "url": "https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#readonly-mode"
+              "url": "https://docs.victoriametrics.com/cluster-victoriametrics/#readonly-mode"
             }
           ],
           "options": {
@@ -5343,7 +5343,7 @@
             {
               "targetBlank": true,
               "title": "Readonly mode",
-              "url": "https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#readonly-mode"
+              "url": "https://docs.victoriametrics.com/cluster-victoriametrics/#readonly-mode"
             }
           ],
           "options": {
@@ -5521,7 +5521,7 @@
             "type": "prometheus",
             "uid": "$ds"
           },
-          "description": "The number of on-going merges in storage nodes.  It is expected to have high numbers for `storage/small` metric.",
+          "description": "The max number of on-going merges across storage nodes.\n The drastic change in number of merges could be a sign of on-going deduplication/downsampling activity.\n It is expected to have high numbers for `storage/small` metric.",
           "fieldConfig": {
             "defaults": {
               "color": {
@@ -5610,7 +5610,7 @@
                 "uid": "$ds"
               },
               "editorMode": "code",
-              "expr": "sum(max_over_time(vm_active_merges{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval])) by(type)",
+              "expr": "max(max_over_time(vm_active_merges{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval])) by(type)",
               "legendFormat": "__auto",
               "range": true,
               "refId": "A"
@@ -7230,7 +7230,7 @@
             "type": "prometheus",
             "uid": "$ds"
           },
-          "description": "99th percentile of number of [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) scanner per query.\n\nThis number can exceed number of DatapointsReadPerQuery if `step` query arg passed to [/api/v1/query_range](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries) is smaller than the lookbehind window set in square brackets of [rollup function](https://docs.victoriametrics.com/MetricsQL.html#rollup-functions). For example, if `increase(some_metric[1h])` is executed with the `step=5m`, then the same [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on a hour time range are scanned `1h/5m=12` times. See [this article](https://valyala.medium.com/how-to-optimize-promql-and-metricsql-queries-85a1b75bf986) for details.",
+          "description": "99th percentile of number of [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) scanner per query.\n\nThis number can exceed number of DatapointsReadPerQuery if `step` query arg passed to [/api/v1/query_range](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries) is smaller than the lookbehind window set in square brackets of [rollup function](https://docs.victoriametrics.com/metricsql/#rollup-functions). For example, if `increase(some_metric[1h])` is executed with the `step=5m`, then the same [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on a hour time range are scanned `1h/5m=12` times. See [this article](https://valyala.medium.com/how-to-optimize-promql-and-metricsql-queries-85a1b75bf986) for details.",
           "fieldConfig": {
             "defaults": {
               "color": {
@@ -9681,4 +9681,4 @@
   "uid": "oS7Bi_0Wz",
   "version": 1,
   "weekStart": ""
-}
+}

dashboards/victoriametrics.json

@@ -5490,7 +5490,7 @@
             "type": "prometheus",
             "uid": "$ds"
           },
-          "description": "99th percentile of number of [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) scanner per query.\n\nThis number can exceed number of RowsReadPerQuery if `step` query arg passed to [/api/v1/query_range](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries) is smaller than the lookbehind window set in square brackets of [rollup function](https://docs.victoriametrics.com/MetricsQL.html#rollup-functions). For example, if `increase(some_metric[1h])` is executed with the `step=5m`, then the same [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on a hour time range are scanned `1h/5m=12` times. See [this article](https://valyala.medium.com/how-to-optimize-promql-and-metricsql-queries-85a1b75bf986) for details.",
+          "description": "99th percentile of number of [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) scanner per query.\n\nThis number can exceed number of RowsReadPerQuery if `step` query arg passed to [/api/v1/query_range](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries) is smaller than the lookbehind window set in square brackets of [rollup function](https://docs.victoriametrics.com/metricsql/#rollup-functions). For example, if `increase(some_metric[1h])` is executed with the `step=5m`, then the same [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on a hour time range are scanned `1h/5m=12` times. See [this article](https://valyala.medium.com/how-to-optimize-promql-and-metricsql-queries-85a1b75bf986) for details.",
           "fieldConfig": {
             "defaults": {
               "color": {
@@ -5753,4 +5753,4 @@
   "uid": "wNf0q_kZk",
   "version": 1,
   "weekStart": ""
-}
+}

dashboards/vm/victoriametrics-cluster.json

@@ -2974,7 +2974,7 @@
             "type": "victoriametrics-datasource",
             "uid": "$ds"
           },
-          "description": "Shows the rate and total number of new series created over last 24h.\n\nHigh [churn rate](https://docs.victoriametrics.com/faq/#what-is-high-churn-rate) tightly connected with database performance and may result in unexpected OOM's or slow queries. It is recommended to always keep an eye on this metric to avoid unexpected [cardinality](https://docs.victoriametrics.com/keyconcepts/#cardinality) \"explosions\".\n\nThe higher churn rate is, the more resources required to handle it. Consider to keep the churn rate as low as possible.\n\nTo investigate stats about most expensive series use `api/v1/status/tsdb` handler. More details here https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#url-format\n\nGood references to read:\n* https://www.robustperception.io/cardinality-is-key\n* https://valyala.medium.com/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b",
+          "description": "Shows the rate and total number of new series created over last 24h.\n\nHigh [churn rate](https://docs.victoriametrics.com/faq/#what-is-high-churn-rate) tightly connected with database performance and may result in unexpected OOM's or slow queries. It is recommended to always keep an eye on this metric to avoid unexpected [cardinality](https://docs.victoriametrics.com/keyconcepts/#cardinality) \"explosions\".\n\nThe higher churn rate is, the more resources required to handle it. Consider to keep the churn rate as low as possible.\n\nTo investigate stats about most expensive series use `api/v1/status/tsdb` handler. More details here https://docs.victoriametrics.com/cluster-victoriametrics/#url-format\n\nGood references to read:\n* https://www.robustperception.io/cardinality-is-key\n* https://valyala.medium.com/high-cardinality-tsdb-benchmarks-victoriametrics-vs-timescaledb-vs-influxdb-13e6ee64dd6b",
           "fieldConfig": {
             "defaults": {
               "color": {
@@ -3272,7 +3272,7 @@
             {
               "targetBlank": true,
               "title": "Readonly mode",
-              "url": "https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#readonly-mode"
+              "url": "https://docs.victoriametrics.com/cluster-victoriametrics/#readonly-mode"
             }
           ],
           "options": {
@@ -5344,7 +5344,7 @@
             {
               "targetBlank": true,
               "title": "Readonly mode",
-              "url": "https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#readonly-mode"
+              "url": "https://docs.victoriametrics.com/cluster-victoriametrics/#readonly-mode"
             }
           ],
           "options": {
@@ -5522,7 +5522,7 @@
             "type": "victoriametrics-datasource",
             "uid": "$ds"
           },
-          "description": "The number of on-going merges in storage nodes.  It is expected to have high numbers for `storage/small` metric.",
+          "description": "The max number of on-going merges across storage nodes.\n The drastic change in number of merges could be a sign of on-going deduplication/downsampling activity.\n It is expected to have high numbers for `storage/small` metric.",
           "fieldConfig": {
             "defaults": {
               "color": {
@@ -5611,7 +5611,7 @@
                 "uid": "$ds"
               },
               "editorMode": "code",
-              "expr": "sum(max_over_time(vm_active_merges{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval])) by(type)",
+              "expr": "max(max_over_time(vm_active_merges{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval])) by(type)",
               "legendFormat": "__auto",
               "range": true,
               "refId": "A"
@@ -7231,7 +7231,7 @@
             "type": "victoriametrics-datasource",
             "uid": "$ds"
           },
-          "description": "99th percentile of number of [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) scanner per query.\n\nThis number can exceed number of DatapointsReadPerQuery if `step` query arg passed to [/api/v1/query_range](https://victoriametrics-datasource.io/docs/victoriametrics-datasource/latest/querying/api/#range-queries) is smaller than the lookbehind window set in square brackets of [rollup function](https://docs.victoriametrics.com/MetricsQL.html#rollup-functions). For example, if `increase(some_metric[1h])` is executed with the `step=5m`, then the same [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on a hour time range are scanned `1h/5m=12` times. See [this article](https://valyala.medium.com/how-to-optimize-promql-and-metricsql-queries-85a1b75bf986) for details.",
+          "description": "99th percentile of number of [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) scanner per query.\n\nThis number can exceed number of DatapointsReadPerQuery if `step` query arg passed to [/api/v1/query_range](https://victoriametrics-datasource.io/docs/victoriametrics-datasource/latest/querying/api/#range-queries) is smaller than the lookbehind window set in square brackets of [rollup function](https://docs.victoriametrics.com/metricsql/#rollup-functions). For example, if `increase(some_metric[1h])` is executed with the `step=5m`, then the same [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on a hour time range are scanned `1h/5m=12` times. See [this article](https://valyala.medium.com/how-to-optimize-promql-and-metricsql-queries-85a1b75bf986) for details.",
           "fieldConfig": {
             "defaults": {
               "color": {
@@ -9682,4 +9682,4 @@
   "uid": "oS7Bi_0Wz_vm",
   "version": 1,
   "weekStart": ""
-}
+}

dashboards/vm/victoriametrics.json

@@ -5491,7 +5491,7 @@
             "type": "victoriametrics-datasource",
             "uid": "$ds"
           },
-          "description": "99th percentile of number of [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) scanner per query.\n\nThis number can exceed number of RowsReadPerQuery if `step` query arg passed to [/api/v1/query_range](https://victoriametrics-datasource.io/docs/victoriametrics-datasource/latest/querying/api/#range-queries) is smaller than the lookbehind window set in square brackets of [rollup function](https://docs.victoriametrics.com/MetricsQL.html#rollup-functions). For example, if `increase(some_metric[1h])` is executed with the `step=5m`, then the same [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on a hour time range are scanned `1h/5m=12` times. See [this article](https://valyala.medium.com/how-to-optimize-promql-and-metricsql-queries-85a1b75bf986) for details.",
+          "description": "99th percentile of number of [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) scanner per query.\n\nThis number can exceed number of RowsReadPerQuery if `step` query arg passed to [/api/v1/query_range](https://victoriametrics-datasource.io/docs/victoriametrics-datasource/latest/querying/api/#range-queries) is smaller than the lookbehind window set in square brackets of [rollup function](https://docs.victoriametrics.com/metricsql/#rollup-functions). For example, if `increase(some_metric[1h])` is executed with the `step=5m`, then the same [data samples](https://docs.victoriametrics.com/keyconcepts/#raw-samples) on a hour time range are scanned `1h/5m=12` times. See [this article](https://valyala.medium.com/how-to-optimize-promql-and-metricsql-queries-85a1b75bf986) for details.",
           "fieldConfig": {
             "defaults": {
               "color": {
@@ -5754,4 +5754,4 @@
   "uid": "wNf0q_kZk_vm",
   "version": 1,
   "weekStart": ""
-}
+}

dashboards/vm/vmagent.json

@@ -100,7 +100,7 @@
       "title": "vmagent wiki",
       "tooltip": "",
       "type": "link",
-      "url": "https://docs.victoriametrics.com/vmagent.html"
+      "url": "https://docs.victoriametrics.com/vmagent/"
     },
     {
       "icon": "external link",
@@ -166,7 +166,7 @@
       "links": [
         {
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -236,7 +236,7 @@
       "links": [
         {
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -397,7 +397,7 @@
       "links": [
         {
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -487,7 +487,7 @@
         {
           "targetBlank": true,
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -1037,7 +1037,7 @@
       "links": [
         {
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -1264,7 +1264,7 @@
         {
           "targetBlank": true,
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -1482,7 +1482,7 @@
         {
           "targetBlank": true,
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -3138,7 +3138,7 @@
             {
               "targetBlank": true,
               "title": "Relabeling",
-              "url": "https://docs.victoriametrics.com/vmagent.html#relabeling"
+              "url": "https://docs.victoriametrics.com/vmagent/#relabeling"
             }
           ],
           "options": {
@@ -5960,7 +5960,7 @@
           "links": [
             {
               "title": "Troubleshooting",
-              "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+              "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
             }
           ],
           "options": {
@@ -6402,4 +6402,4 @@
   "uid": "G7Z9GzMGz_vm",
   "version": 1,
   "weekStart": ""
-}
+}

dashboards/vm/vmalert.json

@@ -97,7 +97,7 @@
       "title": "vmalert docs",
       "tooltip": "",
       "type": "link",
-      "url": "https://docs.victoriametrics.com/vmalert.html"
+      "url": "https://docs.victoriametrics.com/vmalert/"
     },
     {
       "asDropdown": false,
@@ -1271,7 +1271,7 @@
         "type": "victoriametrics-datasource",
         "uid": "$ds"
       },
-      "description": "Missed evaluation means that group evaluation time takes longer than the configured evaluation interval. \nThis may result in missed alerting notifications or recording rules samples. Try increasing evaluation interval or concurrency for such groups. See https://docs.victoriametrics.com/vmalert.html#groups\n\nIf rule expressions are taking longer than expected, please see https://docs.victoriametrics.com/Troubleshooting.html#slow-queries.\"",
+      "description": "Missed evaluation means that group evaluation time takes longer than the configured evaluation interval. \nThis may result in missed alerting notifications or recording rules samples. Try increasing evaluation interval or concurrency for such groups. See https://docs.victoriametrics.com/vmalert/#groups\n\nIf rule expressions are taking longer than expected, please see https://docs.victoriametrics.com/troubleshooting/#slow-queries.\"",
       "fieldConfig": {
         "defaults": {
           "color": {
@@ -1455,7 +1455,7 @@
             {
               "targetBlank": true,
               "title": "Profiling",
-              "url": "https://docs.victoriametrics.com/vmagent.html#profiling"
+              "url": "https://docs.victoriametrics.com/vmagent/#profiling"
             }
           ],
           "options": {
@@ -1570,7 +1570,7 @@
             {
               "targetBlank": true,
               "title": "Profiling",
-              "url": "https://docs.victoriametrics.com/vmagent.html#profiling"
+              "url": "https://docs.victoriametrics.com/vmagent/#profiling"
             }
           ],
           "options": {
@@ -1685,7 +1685,7 @@
             {
               "targetBlank": true,
               "title": "Profiling",
-              "url": "https://docs.victoriametrics.com/vmagent.html#profiling"
+              "url": "https://docs.victoriametrics.com/vmagent/#profiling"
             }
           ],
           "options": {
@@ -1802,7 +1802,7 @@
             {
               "targetBlank": true,
               "title": "Profiling",
-              "url": "https://docs.victoriametrics.com/vmagent.html#profiling"
+              "url": "https://docs.victoriametrics.com/vmagent/#profiling"
             }
           ],
           "options": {
@@ -3425,4 +3425,4 @@
   "uid": "LzldHAVnz_vm",
   "version": 1,
   "weekStart": ""
-}
+}

dashboards/vmagent.json

@@ -99,7 +99,7 @@
       "title": "vmagent wiki",
       "tooltip": "",
       "type": "link",
-      "url": "https://docs.victoriametrics.com/vmagent.html"
+      "url": "https://docs.victoriametrics.com/vmagent/"
     },
     {
       "icon": "external link",
@@ -165,7 +165,7 @@
       "links": [
         {
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -235,7 +235,7 @@
       "links": [
         {
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -396,7 +396,7 @@
       "links": [
         {
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -486,7 +486,7 @@
         {
           "targetBlank": true,
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -1036,7 +1036,7 @@
       "links": [
         {
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -1263,7 +1263,7 @@
         {
           "targetBlank": true,
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -1481,7 +1481,7 @@
         {
           "targetBlank": true,
           "title": "Troubleshooting",
-          "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+          "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
         }
       ],
       "options": {
@@ -3137,7 +3137,7 @@
             {
               "targetBlank": true,
               "title": "Relabeling",
-              "url": "https://docs.victoriametrics.com/vmagent.html#relabeling"
+              "url": "https://docs.victoriametrics.com/vmagent/#relabeling"
             }
           ],
           "options": {
@@ -5959,7 +5959,7 @@
           "links": [
             {
               "title": "Troubleshooting",
-              "url": "https://docs.victoriametrics.com/vmagent.html#troubleshooting"
+              "url": "https://docs.victoriametrics.com/vmagent/#troubleshooting"
             }
           ],
           "options": {
@@ -6401,4 +6401,4 @@
   "uid": "G7Z9GzMGz",
   "version": 1,
   "weekStart": ""
-}
+}

dashboards/vmalert.json

@@ -96,7 +96,7 @@
       "title": "vmalert docs",
       "tooltip": "",
       "type": "link",
-      "url": "https://docs.victoriametrics.com/vmalert.html"
+      "url": "https://docs.victoriametrics.com/vmalert/"
     },
     {
       "asDropdown": false,
@@ -1270,7 +1270,7 @@
         "type": "prometheus",
         "uid": "$ds"
       },
-      "description": "Missed evaluation means that group evaluation time takes longer than the configured evaluation interval. \nThis may result in missed alerting notifications or recording rules samples. Try increasing evaluation interval or concurrency for such groups. See https://docs.victoriametrics.com/vmalert.html#groups\n\nIf rule expressions are taking longer than expected, please see https://docs.victoriametrics.com/Troubleshooting.html#slow-queries.\"",
+      "description": "Missed evaluation means that group evaluation time takes longer than the configured evaluation interval. \nThis may result in missed alerting notifications or recording rules samples. Try increasing evaluation interval or concurrency for such groups. See https://docs.victoriametrics.com/vmalert/#groups\n\nIf rule expressions are taking longer than expected, please see https://docs.victoriametrics.com/troubleshooting/#slow-queries.\"",
       "fieldConfig": {
         "defaults": {
           "color": {
@@ -1454,7 +1454,7 @@
             {
               "targetBlank": true,
               "title": "Profiling",
-              "url": "https://docs.victoriametrics.com/vmagent.html#profiling"
+              "url": "https://docs.victoriametrics.com/vmagent/#profiling"
             }
           ],
           "options": {
@@ -1569,7 +1569,7 @@
             {
               "targetBlank": true,
               "title": "Profiling",
-              "url": "https://docs.victoriametrics.com/vmagent.html#profiling"
+              "url": "https://docs.victoriametrics.com/vmagent/#profiling"
             }
           ],
           "options": {
@@ -1684,7 +1684,7 @@
             {
               "targetBlank": true,
               "title": "Profiling",
-              "url": "https://docs.victoriametrics.com/vmagent.html#profiling"
+              "url": "https://docs.victoriametrics.com/vmagent/#profiling"
             }
           ],
           "options": {
@@ -1801,7 +1801,7 @@
             {
               "targetBlank": true,
               "title": "Profiling",
-              "url": "https://docs.victoriametrics.com/vmagent.html#profiling"
+              "url": "https://docs.victoriametrics.com/vmagent/#profiling"
             }
           ],
           "options": {
@@ -3424,4 +3424,4 @@
   "uid": "LzldHAVnz",
   "version": 1,
   "weekStart": ""
-}
+}

deployment/docker/Makefile

@@ -102,24 +102,23 @@ run-via-docker: package-via-docker
 
 app-via-docker-goos-goarch:
 	APP_SUFFIX='-$(GOOS)-$(GOARCH)' \
-	DOCKER_OPTS='--env CGO_ENABLED=$(CGO_ENABLED) --env GOOS=$(GOOS) --env GOARCH=$(GOARCH)' \
+	DOCKER_OPTS='--env CGO_ENABLED=$(CGO_ENABLED) --env GOOS=$(GOOS) --env GOARCH=$(GOARCH) $(foreach v,$(EXTRA_ENVS),--env $(v))' \
 	$(MAKE) app-via-docker
 
 app-via-docker-pure:
 	APP_SUFFIX='-pure' DOCKER_OPTS='--env CGO_ENABLED=0' $(MAKE) app-via-docker
 
 app-via-docker-linux-amd64:
+	EXTRA_ENVS='CC=/opt/cross-builder/x86_64-linux-musl-cross/bin/x86_64-linux-musl-gcc' \
 	CGO_ENABLED=1 GOOS=linux GOARCH=amd64 $(MAKE) app-via-docker-goos-goarch
 
 app-via-docker-linux-arm:
-	APP_SUFFIX='-linux-arm' \
-	DOCKER_OPTS='--env CGO_ENABLED=0 --env GOOS=linux --env GOARCH=arm --env GOARM=5' \
-	$(MAKE) app-via-docker
+	EXTRA_ENVS='GOARM=5' \
+	CGO_ENABLED=0 GOOS=linux GOARCH=arm $(MAKE) app-via-docker-goos-goarch
 
 app-via-docker-linux-arm64:
-	APP_SUFFIX='-linux-arm64' \
-	DOCKER_OPTS='--env CGO_ENABLED=1 --env GOOS=linux --env GOARCH=arm64 --env CC=/opt/cross-builder/aarch64-linux-musl-cross/bin/aarch64-linux-musl-gcc' \
-	$(MAKE) app-via-docker
+	EXTRA_ENVS='CC=/opt/cross-builder/aarch64-linux-musl-cross/bin/aarch64-linux-musl-gcc' \
+	CGO_ENABLED=1 GOOS=linux GOARCH=arm64 $(MAKE) app-via-docker-goos-goarch
 
 app-via-docker-linux-ppc64le:
 	CGO_ENABLED=0 GOOS=linux GOARCH=ppc64le $(MAKE) app-via-docker-goos-goarch
@@ -146,37 +145,28 @@ app-via-docker-windows-amd64:
 
 package-via-docker-goarch:
 	APP_SUFFIX='-$(GOARCH)' \
-	DOCKER_OPTS='--env CGO_ENABLED=$(CGO_ENABLED) --env GOOS=linux --env GOARCH=$(GOARCH)' \
+	DOCKER_OPTS='--env CGO_ENABLED=$(CGO_ENABLED) --env GOOS=linux --env GOARCH=$(GOARCH) $(foreach v,$(EXTRA_ENVS),--env $(v))' \
 	$(MAKE) package-via-docker
 
-package-via-docker-goarch-arm64:
-	APP_SUFFIX='-arm64' \
-	DOCKER_OPTS='--env CGO_ENABLED=1 --env GOOS=linux --env GOARCH=arm64 --env CC=/opt/cross-builder/aarch64-linux-musl-cross/bin/aarch64-linux-musl-gcc' \
-	$(MAKE) package-via-docker
-
-package-via-docker-goarch-cgo:
-	CGO_ENABLED=1 $(MAKE) package-via-docker-goarch
-
-package-via-docker-goarch-nocgo:
-	CGO_ENABLED=0 $(MAKE) package-via-docker-goarch
-
 package-via-docker-pure:
 	APP_SUFFIX='-pure' DOCKER_OPTS='--env CGO_ENABLED=0' $(MAKE) package-via-docker
 
 package-via-docker-amd64:
-	GOARCH=amd64 $(MAKE) package-via-docker-goarch-cgo
+	EXTRA_ENVS='CC=/opt/cross-builder/x86_64-linux-musl-cross/bin/x86_64-linux-musl-gcc' \
+	GOARCH=amd64 GOARCH=amd64 $(MAKE) package-via-docker-goarch
 
 package-via-docker-arm:
-	GOARCH=arm $(MAKE) package-via-docker-goarch-nocgo
+	GOARCH=arm CGO_ENABLED=0 $(MAKE) package-via-docker-goarch
 
 package-via-docker-arm64:
-	$(MAKE) package-via-docker-goarch-arm64
+	EXTRA_ENVS='CC=/opt/cross-builder/aarch64-linux-musl-cross/bin/aarch64-linux-musl-gcc' \
+	CGO_ENABLED=1 GOARCH=arm64 $(MAKE) package-via-docker-goarch
 
 package-via-docker-ppc64le:
-	GOARCH=ppc64le $(MAKE) package-via-docker-goarch-nocgo
+	GOARCH=ppc64le CGO_ENABLED=0 $(MAKE) package-via-docker-goarch
 
 package-via-docker-386:
-	GOARCH=386 $(MAKE) package-via-docker-goarch-nocgo
+	GOARCH=386 CGO_ENABLED=0 $(MAKE) package-via-docker-goarch
 
 remove-docker-images:
 	docker image ls --format '{{.ID}}' | xargs docker image rm -f

deployment/docker/README.md

@@ -42,7 +42,7 @@ The communication scheme between components is the following:
 
 To access Grafana use link [http://localhost:3000](http://localhost:3000).
 
-To access [vmui](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#vmui)
+To access [vmui](https://docs.victoriametrics.com/single-server-victoriametrics/#vmui)
 use link [http://localhost:8428/vmui](http://localhost:8428/vmui).
 
 To access `vmalert` use link [http://localhost:8428/vmalert](http://localhost:8428/vmalert/).
@@ -78,7 +78,7 @@ The communication scheme between components is the following:
 
 To access Grafana use link [http://localhost:3000](http://localhost:3000).
 
-To access [vmui](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#vmui)
+To access [vmui](https://docs.victoriametrics.com/single-server-victoriametrics/#vmui)
 use link [http://localhost:8427/select/0/prometheus/vmui/](http://localhost:8427/select/0/prometheus/vmui/).
 
 To access `vmalert` use link [http://localhost:8427/select/0/prometheus/vmalert/](http://localhost:8427/select/0/prometheus/vmalert/).
@@ -98,7 +98,7 @@ with listed targets for scraping.
 
 ## vmauth
 
-[vmauth](https://docs.victoriametrics.com/vmauth.html) acts as a [balancer](https://docs.victoriametrics.com/vmauth.html#load-balancing)
+[vmauth](https://docs.victoriametrics.com/vmauth/) acts as a [balancer](https://docs.victoriametrics.com/vmauth/#load-balancing)
 to spread the load across `vmselect`'s. [Grafana](#grafana) and [vmalert](#vmalert) use vmauth for read queries.
 vmauth config is available [here](ttps://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/auth-cluster.yml)
 
@@ -156,15 +156,15 @@ of alerting rules is the following:
 * [alerts-health.yml](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts-health.yml):
   alerting rules related to all VictoriaMetrics components for tracking their "health" state; 
 * [alerts.yml](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts.yml):
-  alerting rules related to [single-server VictoriaMetrics](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html) installation;
+  alerting rules related to [single-server VictoriaMetrics](https://docs.victoriametrics.com/single-server-victoriametrics/) installation;
 * [alerts-cluster.yml](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts-cluster.yml):
-  alerting rules related to [cluster version of VictoriaMetrics](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html);
+  alerting rules related to [cluster version of VictoriaMetrics](https://docs.victoriametrics.com/cluster-victoriametrics/);
 * [alerts-vmagent.yml](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts-vmagent.yml):
-  alerting rules related to [vmagent](https://docs.victoriametrics.com/vmagent.html) component;
+  alerting rules related to [vmagent](https://docs.victoriametrics.com/vmagent/) component;
 * [alerts-vmalert.yml](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts-vmalert.yml):
-  alerting rules related to [vmalert](https://docs.victoriametrics.com/vmalert.html) component;
+  alerting rules related to [vmalert](https://docs.victoriametrics.com/vmalert/) component;
 
-Please, also see [how to monitor](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#monitoring) 
+Please, also see [how to monitor](https://docs.victoriametrics.com/single-server-victoriametrics/#monitoring) 
 VictoriaMetrics installations.
 
 ## VictoriaLogs server
@@ -199,4 +199,4 @@ Please see more examples on integration of VictoriaLogs with other log shippers
 * [fluentbit-docker](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/deployment/docker/victorialogs/fluentbit-docker) 
 * [logstash](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/deployment/docker/victorialogs/logstash) 
 * [promtail](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/deployment/docker/victorialogs/promtail) 
-* [vector-docker](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/deployment/docker/victorialogs/vector-docker) 
+* [vector-docker](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/deployment/docker/victorialogs/vector-docker)

deployment/docker/alerts-vmalert.yml

@@ -61,8 +61,8 @@ groups:
           description: "vmalert instance {{ $labels.instance }} is missing rules evaluations for group \"{{ $labels.group }}\".
             The group evaluation time takes longer than the configured evaluation interval. This may result in missed 
             alerting notifications or recording rules samples. Try increasing evaluation interval or concurrency of
-            group \"{{ $labels.group }}\". See https://docs.victoriametrics.com/vmalert.html#groups. 
-            If rule expressions are taking longer than expected, please see https://docs.victoriametrics.com/Troubleshooting.html#slow-queries."
+            group \"{{ $labels.group }}\". See https://docs.victoriametrics.com/vmalert/#groups. 
+            If rule expressions are taking longer than expected, please see https://docs.victoriametrics.com/troubleshooting/#slow-queries."
 
       - alert: RemoteWriteErrors
         expr: increase(vmalert_remotewrite_errors_total[5m]) > 0

deployment/docker/auth-cluster.yml

@@ -1,6 +1,6 @@
 # balance load among vmselects
-# see https://docs.victoriametrics.com/vmauth.html#load-balancing
+# see https://docs.victoriametrics.com/vmauth/#load-balancing
 unauthorized_user:
   url_prefix:
     - http://vmselect-1:8481
-    - http://vmselect-2:8481
+    - http://vmselect-2:8481

deployment/docker/builder/Dockerfile

@@ -3,7 +3,12 @@ FROM $go_builder_image
 STOPSIGNAL SIGINT
 RUN apk add git gcc musl-dev make wget --no-cache && \
     mkdir /opt/cross-builder && \
-    wget https://musl.cc/aarch64-linux-musl-cross.tgz -O /opt/cross-builder/aarch64-musl.tgz --no-verbose && \
     cd /opt/cross-builder && \
-    tar zxf aarch64-musl.tgz -C ./  && \
-    rm /opt/cross-builder/aarch64-musl.tgz
+    for arch in aarch64 x86_64; do \
+        wget \
+            https://musl.cc/${arch}-linux-musl-cross.tgz \
+            -O /opt/cross-builder/${arch}-musl.tgz \
+            --no-verbose && \
+        tar zxf ${arch}-musl.tgz -C ./  && \
+        rm /opt/cross-builder/${arch}-musl.tgz; \
+    done

deployment/docker/victorialogs/fluentbit-docker/docker-compose.yml

@@ -2,7 +2,7 @@ version: "3"
 
 services:
   fluentbit:
-    image: cr.fluentbit.io/fluent/fluent-bit:2.1.4
+    image: cr.fluentbit.io/fluent/fluent-bit:3.0.2
     volumes:
       - /var/lib/docker/containers:/var/lib/docker/containers:ro
       - ./fluent-bit.conf:/fluent-bit/etc/fluent-bit.conf

deployment/docker/vmanomaly/vmanomaly-integration/README.md

@@ -20,4 +20,4 @@ docker compose up -d
 open http://127.0.0.1:3000/
 ```
 
-If you don't see any data, please wait a few minutes.
+If you don't see any data, please wait a few minutes.

deployment/marketplace/digitialocean/one-click-droplet/README.md

@@ -6,11 +6,11 @@ VictoriaMetrics is a fast and scalable open source time series database and moni
 
 VictoriaMetrics is a free [open source time series database](https://en.wikipedia.org/wiki/Time_series_database) (TSDB) and monitoring solution, designed to collect, store and process real-time metrics.
 
-It supports the [Prometheus](https://en.wikipedia.org/wiki/Prometheus_(software)) pull model and various push protocols ([Graphite](https://en.wikipedia.org/wiki/Graphite_(software)), [InfluxDB](https://en.wikipedia.org/wiki/InfluxDB), OpenTSDB) for data ingestion. It is optimized for storage with high-latency IO, low IOPS and time series with [high churn rate](https://docs.victoriametrics.com/FAQ.html#what-is-high-churn-rate).
+It supports the [Prometheus](https://en.wikipedia.org/wiki/Prometheus_(software)) pull model and various push protocols ([Graphite](https://en.wikipedia.org/wiki/Graphite_(software)), [InfluxDB](https://en.wikipedia.org/wiki/InfluxDB), OpenTSDB) for data ingestion. It is optimized for storage with high-latency IO, low IOPS and time series with [high churn rate](https://docs.victoriametrics.com/faq/#what-is-high-churn-rate).
 
-For reading the data and evaluating alerting rules, VictoriaMetrics supports the PromQL, [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html) and Graphite query languages. VictoriaMetrics Single is fully autonomous and can be used as a long-term storage for time series.
+For reading the data and evaluating alerting rules, VictoriaMetrics supports the PromQL, [MetricsQL](https://docs.victoriametrics.com/metricsql/) and Graphite query languages. VictoriaMetrics Single is fully autonomous and can be used as a long-term storage for time series.
 
-[VictoriaMetrics Single](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html) = Hassle-free monitoring solution. Easily handles 10M+ of active time series on a single instance. Perfect for small and medium environments.
+[VictoriaMetrics Single](https://docs.victoriametrics.com/single-server-victoriametrics/) = Hassle-free monitoring solution. Easily handles 10M+ of active time series on a single instance. Perfect for small and medium environments.
 
 ## Getting started after deploying VictoriaMetrics Single
 
@@ -21,22 +21,22 @@ This One Click app uses 8428, 2003, 4242 and 8089 ports to accept metrics from d
 
 ### Scraping metrics
 
-VictoriaMetrics supports metrics scraping in the same way as Prometheus does. Check the configuration file to edit scraping targets. See more details about scraping at [How to scrape Prometheus exporters](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-scrape-prometheus-exporters-such-as-node-exporter).
+VictoriaMetrics supports metrics scraping in the same way as Prometheus does. Check the configuration file to edit scraping targets. See more details about scraping at [How to scrape Prometheus exporters](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-scrape-prometheus-exporters-such-as-node-exporter).
 
 ### Sending metrics
 
 Besides scraping, VictoriaMetrics accepts write requests for various ingestion protocols. This One Click app supports the following protocols:
 
-- [Datadog](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-send-data-from-datadog-agent), [Influx (telegraph)](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-send-data-from-influxdb-compatible-agents-such-as-telegraf), [JSON](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-import-data-in-json-line-format), [CSV](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-import-csv-data), [Prometheus](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-import-data-in-prometheus-exposition-format)  on port :8428
-- [Graphite (statsd)](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-send-data-from-graphite-compatible-agents-such-as-statsd) on port :2003 tcp/udp
-- [OpenTSDB](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-send-data-from-opentsdb-compatible-agents) on port :4242
+- [Datadog](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-send-data-from-datadog-agent), [Influx (telegraph)](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-send-data-from-influxdb-compatible-agents-such-as-telegraf), [JSON](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-import-data-in-json-line-format), [CSV](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-import-csv-data), [Prometheus](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-import-data-in-prometheus-exposition-format)  on port :8428
+- [Graphite (statsd)](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-send-data-from-graphite-compatible-agents-such-as-statsd) on port :2003 tcp/udp
+- [OpenTSDB](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-send-data-from-opentsdb-compatible-agents) on port :4242
 - Influx (telegraph) on port :8089 tcp/udp
 
-See more details and examples in [official documentation](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html).
+See more details and examples in [official documentation](https://docs.victoriametrics.com/single-server-victoriametrics/).
 
 ### UI
 
-VictoriaMetrics provides a [User Interface (UI)](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#vmui) for query troubleshooting and exploration. The UI is available at `http://your_droplet_public_ipv4:8428/vmui`. It lets users explore query results via graphs and tables.
+VictoriaMetrics provides a [User Interface (UI)](https://docs.victoriametrics.com/single-server-victoriametrics/#vmui) for query troubleshooting and exploration. The UI is available at `http://your_droplet_public_ipv4:8428/vmui`. It lets users explore query results via graphs and tables.
 
 To check it, open the following in your browser `http://your_droplet_public_ipv4:8428/vmui` and then enter `vm_app_uptime_seconds` to the Query Field to Execute the Query.
 

deployment/marketplace/digitialocean/one-click-droplet/files/etc/systemd/system/vmsingle.service

@@ -16,7 +16,7 @@ EnvironmentFile=-/etc/victoriametrics/single/victoriametrics.conf
 ExecStart=/usr/bin/victoria-metrics-prod $ARGS
 ExecStop=/bin/kill -s SIGTERM $MAINPID
 ExecReload=/bin/kill -HUP $MAINPID
-# See docs https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#tuning
+# See docs https://docs.victoriametrics.com/single-server-victoriametrics/#tuning
 ProtectSystem=full
 LimitNOFILE=1048576
 LimitNPROC=1048576
@@ -26,4 +26,4 @@ StandardError=syslog
 SyslogIdentifier=vmsingle
 
 [Install]
-WantedBy=multi-user.target
+WantedBy=multi-user.target

deployment/marketplace/vultr/README.md

@@ -6,11 +6,11 @@ VictoriaMetrics is a fast and scalable open source time series database and moni
 
 VictoriaMetrics is a free [open source time series database](https://en.wikipedia.org/wiki/Time_series_database) (TSDB) and monitoring solution, designed to collect, store and process real-time metrics.
 
-It supports the [Prometheus](https://en.wikipedia.org/wiki/Prometheus_(software)) pull model and various push protocols ([Graphite](https://en.wikipedia.org/wiki/Graphite_(software)), [InfluxDB](https://en.wikipedia.org/wiki/InfluxDB), OpenTSDB) for data ingestion. It is optimized for storage with high-latency IO, low IOPS and time series with [high churn rate](https://docs.victoriametrics.com/FAQ.html#what-is-high-churn-rate).
+It supports the [Prometheus](https://en.wikipedia.org/wiki/Prometheus_(software)) pull model and various push protocols ([Graphite](https://en.wikipedia.org/wiki/Graphite_(software)), [InfluxDB](https://en.wikipedia.org/wiki/InfluxDB), OpenTSDB) for data ingestion. It is optimized for storage with high-latency IO, low IOPS and time series with [high churn rate](https://docs.victoriametrics.com/faq/#what-is-high-churn-rate).
 
-For reading the data and evaluating alerting rules, VictoriaMetrics supports the PromQL, [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html) and Graphite query languages. VictoriaMetrics Single is fully autonomous and can be used as a long-term storage for time series.
+For reading the data and evaluating alerting rules, VictoriaMetrics supports the PromQL, [MetricsQL](https://docs.victoriametrics.com/metricsql/) and Graphite query languages. VictoriaMetrics Single is fully autonomous and can be used as a long-term storage for time series.
 
-[VictoriaMetrics Single](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html) = Hassle-free monitoring solution. Easily handles 10M+ of active time series on a single instance. Perfect for small and medium environments.
+[VictoriaMetrics Single](https://docs.victoriametrics.com/single-server-victoriametrics/) = Hassle-free monitoring solution. Easily handles 10M+ of active time series on a single instance. Perfect for small and medium environments.
 
 ## Getting started after deploying VictoriaMetrics Single
 
@@ -21,22 +21,22 @@ This One Click app uses 8428, 2003, 4242 and 8089 ports to accept metrics from d
 
 ### Scraping metrics
 
-VictoriaMetrics supports metrics scraping in the same way as Prometheus does. Check the configuration file to edit scraping targets. See more details about scraping at [How to scrape Prometheus exporters](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-scrape-prometheus-exporters-such-as-node-exporter).
+VictoriaMetrics supports metrics scraping in the same way as Prometheus does. Check the configuration file to edit scraping targets. See more details about scraping at [How to scrape Prometheus exporters](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-scrape-prometheus-exporters-such-as-node-exporter).
 
 ### Sending metrics
 
 Besides scraping, VictoriaMetrics accepts write requests for various ingestion protocols. This One Click app supports the following protocols:
 
-- [Datadog](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-send-data-from-datadog-agent), [Influx (telegraph)](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-send-data-from-influxdb-compatible-agents-such-as-telegraf), [JSON](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-import-data-in-json-line-format), [CSV](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-import-csv-data), [Prometheus](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-import-data-in-prometheus-exposition-format)  on port :8428
-- [Graphite (statsd)](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-send-data-from-graphite-compatible-agents-such-as-statsd) on port :2003 tcp/udp
-- [OpenTSDB](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-send-data-from-opentsdb-compatible-agents) on port :4242
+- [Datadog](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-send-data-from-datadog-agent), [Influx (telegraph)](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-send-data-from-influxdb-compatible-agents-such-as-telegraf), [JSON](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-import-data-in-json-line-format), [CSV](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-import-csv-data), [Prometheus](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-import-data-in-prometheus-exposition-format)  on port :8428
+- [Graphite (statsd)](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-send-data-from-graphite-compatible-agents-such-as-statsd) on port :2003 tcp/udp
+- [OpenTSDB](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-send-data-from-opentsdb-compatible-agents) on port :4242
 - Influx (telegraph) on port :8089 tcp/udp
 
-See more details and examples in [official documentation](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html).
+See more details and examples in [official documentation](https://docs.victoriametrics.com/single-server-victoriametrics/).
 
 ### UI
 
-VictoriaMetrics provides a [User Interface (UI)](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#vmui) for query troubleshooting and exploration. The UI is available at `http://your_server_public_ipv4:8428/vmui`. It lets users explore query results via graphs and tables.
+VictoriaMetrics provides a [User Interface (UI)](https://docs.victoriametrics.com/single-server-victoriametrics/#vmui) for query troubleshooting and exploration. The UI is available at `http://your_server_public_ipv4:8428/vmui`. It lets users explore query results via graphs and tables.
 
 To check it, open the following in your browser `http://your_server_public_ipv4:8428/vmui` and then enter `vm_app_uptime_seconds` to the Query Field to Execute the Query.
 

deployment/marketplace/vultr/victoriametrics-single/etc/systemd/system/vmsingle.service

@@ -16,7 +16,7 @@ EnvironmentFile=-/etc/victoriametrics/single/victoriametrics.conf
 ExecStart=/usr/bin/victoria-metrics-prod $ARGS
 ExecStop=/bin/kill -s SIGTERM $MAINPID
 ExecReload=/bin/kill -HUP $MAINPID
-# See docs https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#tuning
+# See docs https://docs.victoriametrics.com/single-server-victoriametrics/#tuning
 ProtectSystem=full
 LimitNOFILE=1048576
 LimitNPROC=1048576
@@ -26,4 +26,4 @@ StandardError=syslog
 SyslogIdentifier=vmsingle
 
 [Install]
-WantedBy=multi-user.target
+WantedBy=multi-user.target

docs/Articles.md

@@ -12,7 +12,7 @@ aliases:
 
 # Articles
 
-See also [case studies](https://docs.victoriametrics.com/CaseStudies.html).
+See also [case studies](https://docs.victoriametrics.com/casestudies/).
 
 ## Third-party articles and slides about VictoriaMetrics
 

docs/BestPractices.md

@@ -67,7 +67,7 @@ The following steps must be performed during the upgrade / downgrade procedure:
 
 ## Backup Recommendations
 
-VictoriaMetrics supports backups via [vmbackup](https://docs.victoriametrics.com/vmbackup.html) and [vmrestore](https://docs.victoriametrics.com/vmrestore.html) tools. There is also [vmbackupmanager](https://docs.victoriametrics.com/vmbackupmanager.html), which simplifies backup automation.
+VictoriaMetrics supports backups via [vmbackup](https://docs.victoriametrics.com/vmbackup/) and [vmrestore](https://docs.victoriametrics.com/vmrestore/) tools. There is also [vmbackupmanager](https://docs.victoriametrics.com/vmbackupmanager/), which simplifies backup automation.
 
 ## Technical Support and Services
 

docs/CHANGELOG_2020.md

@@ -29,7 +29,7 @@ Released at 2020-12-27
 
 Released at 2020-12-19
 
-* FEATURE: do not publish duplicate Docker images with `-cluster` tag suffix for [vmagent](https://docs.victoriametrics.com/vmagent.html), [vmalert](https://docs.victoriametrics.com/vmalert.html), [vmauth](https://docs.victoriametrics.com/vmauth.html), [vmbackup](https://docs.victoriametrics.com/vmbackup.html) and [vmrestore](https://docs.victoriametrics.com/vmrestore.html), since they are identical to images without `-cluster` tag suffix.
+* FEATURE: do not publish duplicate Docker images with `-cluster` tag suffix for [vmagent](https://docs.victoriametrics.com/vmagent/), [vmalert](https://docs.victoriametrics.com/vmalert/), [vmauth](https://docs.victoriametrics.com/vmauth/), [vmbackup](https://docs.victoriametrics.com/vmbackup/) and [vmrestore](https://docs.victoriametrics.com/vmrestore/), since they are identical to images without `-cluster` tag suffix.
 
 * BUGFIX: vmalert: properly populate template variables. This has been broken in v1.50.0. See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/974>
 * BUGFIX: properly parse negative combined duration in MetricsQL such as `-1h3m4s`. It must be parsed as `-(1h + 3m + 4s)`. Prevsiously it was parsed as `-1h + 3m + 4s`.
@@ -74,7 +74,7 @@ Released at 2020-12-15
 Released at 2020-12-05
 
 * FEATURE: optimize Consul service discovery speed when discovering big number of services. See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/574>
-* FEATURE: add `label_uppercase(q, label1, ... labelN)` and `label_lowercase(q, label1, ... labelN)` function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html)
+* FEATURE: add `label_uppercase(q, label1, ... labelN)` and `label_lowercase(q, label1, ... labelN)` function to [MetricsQL](https://docs.victoriametrics.com/metricsql/)
   for uppercasing and lowercasing values for the given labels. See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/936>
 * FEATURE: add `count_eq_over_time(m[d], N)` and `count_ne_over_time(m[d], N)` for counting the number of samples for `m` over `d` that (equal / not equal) to `N`.
 * FEATURE: do not print usage info for all the command-line flags when incorrect command-line flag is passed. Previously it could be hard reading the error message
@@ -103,7 +103,7 @@ Released at 2020-11-26
 * FEATURE: vmselect: add `-replicationFactor` command-line flag for reducing query duration when replication is enabled and a part of vmstorage nodes
   are temporarily slow and/or temporarily unavailable. See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/711>
 * FEATURE: vminsert: export `vm_rpc_vmstorage_is_reachable` metric, which can be used for monitoring reachability of vmstorage nodes from vminsert nodes.
-* FEATURE: vmagent: add [Netflix Eureka](https://github.com/Netflix/eureka) service discovery (aka [eureka_sd_config](https://docs.victoriametrics.com/sd_configs.html#eureka_sd_configs)). See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/851>
+* FEATURE: vmagent: add [Netflix Eureka](https://github.com/Netflix/eureka) service discovery (aka [eureka_sd_config](https://docs.victoriametrics.com/sd_configs/#eureka_sd_configs)). See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/851>
 * FEATURE: add `filters` option to `dockerswarm_sd_config` like Prometheus did in v2.23.0 - see <https://github.com/prometheus/prometheus/pull/8074>
 * FEATURE: expose `__meta_ec2_ipv6_addresses` label for `ec2_sd_config` like Prometheus will do in the next release.
 * FEATURE: add `-loggerWarnsPerSecondLimit` command-line flag for rate limiting of WARN messages in logs. See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/905>
@@ -166,7 +166,7 @@ Released at 2020-11-07
 
 * BUGFIX: vmagent: eliminate data race when `-promscrape.streamParse` command-line is set. Previously this mode could result in scraped metrics with garbage labels.
   See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/825#issuecomment-723198247> for details.
-* BUGFIX: properly calculate `topk_*` and `bottomk_*` functions from [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html) for time series with gaps.
+* BUGFIX: properly calculate `topk_*` and `bottomk_*` functions from [MetricsQL](https://docs.victoriametrics.com/metricsql/) for time series with gaps.
   See <https://github.com/VictoriaMetrics/VictoriaMetrics/pull/883>
 
 ## [v1.45.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.45.0)
@@ -184,9 +184,9 @@ Released at 2020-11-02
 * FEATURE: vmagent: add `stream parse` mode. This mode allows reducing memory usage when individual scrape targets expose tens of millions of metrics.
   For example, during scraping Prometheus in [federation](https://prometheus.io/docs/prometheus/latest/federation/) mode.
   See `-promscrape.streamParse` command-line option and `stream_parse: true` config option for `scrape_config` section in `-promscrape.config`.
-  See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/825> and [troubleshooting docs for vmagent](https://docs.victoriametrics.com/vmagent.html#troubleshooting).
+  See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/825> and [troubleshooting docs for vmagent](https://docs.victoriametrics.com/vmagent/#troubleshooting).
 * FEATURE: vmalert: add `-dryRun` command-line option for validating the provided config files without the need to start `vmalert` service.
-* FEATURE: accept optional third argument of string type at `topk_*` and `bottomk_*` functions. This is label name for additional time series to return with the sum of time series outside top/bottom K. See [MetricsQL docs](https://docs.victoriametrics.com/MetricsQL.html) for more details.
+* FEATURE: accept optional third argument of string type at `topk_*` and `bottomk_*` functions. This is label name for additional time series to return with the sum of time series outside top/bottom K. See [MetricsQL docs](https://docs.victoriametrics.com/metricsql/) for more details.
 * FEATURE: vmagent: expose `/api/v1/targets` page according to [the corresponding Prometheus API](https://prometheus.io/docs/prometheus/latest/querying/api/#targets).
   See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/643>
 
@@ -216,11 +216,11 @@ Released at 2020-10-13
      node_filesystem_files{ host="$host", mountpoint="/" } - node_filesystem_files_free
   ```
 
-* FEATURE: vmagent: add Docker Swarm service discovery (aka [dockerswarm_sd_config](https://docs.victoriametrics.com/sd_configs.html#dockerswarm_sd_configs)).
+* FEATURE: vmagent: add Docker Swarm service discovery (aka [dockerswarm_sd_config](https://docs.victoriametrics.com/sd_configs/#dockerswarm_sd_configs)).
   See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/656>
 * FEATURE: add ability to export data in CSV format. See [these docs](https://docs.victoriametrics.com/#how-to-export-csv-data) for details.
 * FEATURE: vmagent: add `-promscrape.suppressDuplicateScrapeTargetErrors` command-line flag for suppressing `duplicate scrape target` errors.
-  See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/651> and <https://docs.victoriametrics.com/vmagent.html#troubleshooting> .
+  See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/651> and <https://docs.victoriametrics.com/vmagent/#troubleshooting> .
 * FEATURE: vmagent: show original labels before relabeling is applied on `duplicate scrape target` errors. This should simplify debugging for incorrect relabeling.
   See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/651>
 * FEATURE: vmagent: `/targets` page now accepts optional `show_original_labels=1` query arg for displaying original labels for each target before relabeling is applied.
@@ -230,8 +230,8 @@ Released at 2020-10-13
 * FEATURE: add `vm_rows_added_to_storage_total` metric, which shows the total number of rows added to storage since app start.
   The `sum(rate(vm_rows_added_to_storage_total))` can be smaller than `sum(rate(vm_rows_inserted_total))` if certain metrics are dropped
   due to [relabeling](https://docs.victoriametrics.com/#relabeling). The `sum(rate(vm_rows_added_to_storage_total))` can be bigger
-  than `sum(rate(vm_rows_inserted_total))` if [replication](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#replication-and-data-safety) is enabled.
-* FEATURE: keep metric name after applying [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html) functions, which don't change time series meaning.
+  than `sum(rate(vm_rows_inserted_total))` if [replication](https://docs.victoriametrics.com/cluster-victoriametrics/#replication-and-data-safety) is enabled.
+* FEATURE: keep metric name after applying [MetricsQL](https://docs.victoriametrics.com/metricsql/) functions, which don't change time series meaning.
   The list of such functions:
   * `keep_last_value`
   * `keep_next_value`
@@ -272,8 +272,8 @@ Released at 2020-10-13
 Released at 2020-10-06
 
 * FEATURE: reduce CPU usage for repeated queries over sliding time window when no new time series are added to the database.
-  Typical use cases: repeated evaluation of alerting rules in [vmalert](https://docs.victoriametrics.com/vmalert.html) or dashboard auto-refresh in Grafana.
-* FEATURE: vmagent: add OpenStack service discovery aka [openstack_sd_config](https://docs.victoriametrics.com/sd_configs.html#openstack_sd_configs).
+  Typical use cases: repeated evaluation of alerting rules in [vmalert](https://docs.victoriametrics.com/vmalert/) or dashboard auto-refresh in Grafana.
+* FEATURE: vmagent: add OpenStack service discovery aka [openstack_sd_config](https://docs.victoriametrics.com/sd_configs/#openstack_sd_configs).
   See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/728> .
 * FEATURE: vmalert: make `-maxIdleConnections` configurable for datasource HTTP client. This option can be used for minimizing connection churn.
   See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/795> .
@@ -295,7 +295,7 @@ Released at 2020-09-30
   for [all the supported protocols](https://docs.victoriametrics.com/#how-to-import-time-series-data).
   Previously data ingested via a single TCP connection could use only a single CPU core. This could limit data ingestion performance.
   The main benefit of this feature is that data can be imported at max speed via a single connection - there is no need to open multiple concurrent
-  connections to VictoriaMetrics or [vmagent](https://docs.victoriametrics.com/vmagent.html) in order to achieve the maximum data ingestion speed.
+  connections to VictoriaMetrics or [vmagent](https://docs.victoriametrics.com/vmagent/) in order to achieve the maximum data ingestion speed.
 * FEATURE: cluster: improve performance for data ingestion path from `vminsert` to `vmstorage` nodes. The maximum data ingestion performance
   for a single connection between `vminsert` and `vmstorage` node scales with the number of available CPU cores on `vmstorage` side.
   This should help with <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/791> .

docs/CHANGELOG_2021.md

@@ -26,51 +26,51 @@ We recommend updating in "off-peak" time when load on the VictoriaMetrics is on
 * FEATURE: [VictoriaMetrics enterprise](https://docs.victoriametrics.com/enterprise/): add multi-level downsampling support. See [these docs](https://docs.victoriametrics.com/#downsampling) and [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/36).
 * FEATURE: [vmui](https://docs.victoriametrics.com/#vmui): add ability to analyze the correlation between two queries on a single graph. Just click `+Query` button, enter the second query in the newly appeared input field and press `Ctrl+Enter`. Results for both queries should be displayed simultaneously on the same graph. Every query has its own vertical scale, which is displayed on the left and the right side of the graph. Lines for the second query are dashed. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1916).
 * FEATURE: [vmui](https://docs.victoriametrics.com/#vmui): add ability to override the interval between returned datapoints. By default it is automatically calculated depending on the selected time range and horizontal resolution of the graph. Now it is possible to override it with custom values. This may be useful during data exploration and debugging.
-* FEATURE: accept optional `extra_filters[]=series_selector` query args at Prometheus query APIs additionally to `extra_label` query args. This allows enforcing additional filters for all the Prometheus query APIs by using [vmgateway](https://docs.victoriametrics.com/vmgateway.html) or [vmauth](https://docs.victoriametrics.com/vmauth.html). See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1863).
-* FEATURE: [vmauth](https://docs.victoriametrics.com/vmauth.html): allow specifying `http` and `https` urls in `-auth.config` command-line flag. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1898). Thanks for @TFM93 .
-* FEATURE: [vmagent](https://docs.victoriametrics.com/vmagent.html): allow specifying `http` and `https` urls in the following command-line flags: `-promscrape.config`, `-remoteWrite.relabelConfig` and `-remoteWrite.urlRelabelConfig`.
+* FEATURE: accept optional `extra_filters[]=series_selector` query args at Prometheus query APIs additionally to `extra_label` query args. This allows enforcing additional filters for all the Prometheus query APIs by using [vmgateway](https://docs.victoriametrics.com/vmgateway/) or [vmauth](https://docs.victoriametrics.com/vmauth/). See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1863).
+* FEATURE: [vmauth](https://docs.victoriametrics.com/vmauth/): allow specifying `http` and `https` urls in `-auth.config` command-line flag. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1898). Thanks for @TFM93 .
+* FEATURE: [vmagent](https://docs.victoriametrics.com/vmagent/): allow specifying `http` and `https` urls in the following command-line flags: `-promscrape.config`, `-remoteWrite.relabelConfig` and `-remoteWrite.urlRelabelConfig`.
 * FEATURE: vminsert: allow specifying `http` and `https` urls in `-relabelConfig` command-line flag.
 * FEATURE: vminsert: add `-maxLabelValueLen` command-line flag for the ability to configure the maximum length of label value. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1908).
-* FEATURE: preserve the order of time series passed to [limit_offset](https://docs.victoriametrics.com/MetricsQL.html#limit_offset) function. This allows implementing series paging via `limit_offset(limit, offset, sort_by_label(...))`. See [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1920) and [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/951) issues.
+* FEATURE: preserve the order of time series passed to [limit_offset](https://docs.victoriametrics.com/metricsql/#limit_offset) function. This allows implementing series paging via `limit_offset(limit, offset, sort_by_label(...))`. See [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1920) and [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/951) issues.
 * FEATURE: automaticall convert `(value1|...|valueN)` into `{value1,...,valueN}` inside `__graphite__` pseudo-label. This allows using [Grafana multi-value template variables](https://grafana.com/docs/grafana/latest/variables/formatting-multi-value-variables/) inside `__graphite__` pseudo-label. For example, `{__graphite__=~"foo.($bar)"}` is expanded to `{__graphite__=~"foo.{x,y}"}` if both `x` and `y` are selected for `$bar` template variable. See [these docs](https://docs.victoriametrics.com/#selecting-graphite-metrics) for details.
-* FEATURE: add [timestamp_with_name](https://docs.victoriametrics.com/MetricsQL.html#timestamp_with_name) function. It works the same as [timestamp](https://docs.victoriametrics.com/MetricsQL.html#timestamp), but leaves the original time series names, so it can be used in queries, which match multiple time series names: `timestamp_with_name({foo="bar"}[1h])`. See [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/949#issuecomment-995222388) for more context.
-* FEATURE: add [changes_prometheus](https://docs.victoriametrics.com/MetricsQL.html#changes_prometheus), [increase_prometheus](https://docs.victoriametrics.com/MetricsQL.html#increase_prometheus) and [delta_prometheus](https://docs.victoriametrics.com/MetricsQL.html#delta_prometheus) functions, which don't take into account the previous sample before the given lookbehind window specified in square brackets. These functions may be used when the Prometheus behaviour for `changes()`, `increase()` and `delta()` functions is needed to be preserved. VictoriaMetrics uses slightly different behaviour for `changes()`, `increase()` and `delta()` functions by default - see [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1962).
+* FEATURE: add [timestamp_with_name](https://docs.victoriametrics.com/metricsql/#timestamp_with_name) function. It works the same as [timestamp](https://docs.victoriametrics.com/metricsql/#timestamp), but leaves the original time series names, so it can be used in queries, which match multiple time series names: `timestamp_with_name({foo="bar"}[1h])`. See [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/949#issuecomment-995222388) for more context.
+* FEATURE: add [changes_prometheus](https://docs.victoriametrics.com/metricsql/#changes_prometheus), [increase_prometheus](https://docs.victoriametrics.com/metricsql/#increase_prometheus) and [delta_prometheus](https://docs.victoriametrics.com/metricsql/#delta_prometheus) functions, which don't take into account the previous sample before the given lookbehind window specified in square brackets. These functions may be used when the Prometheus behaviour for `changes()`, `increase()` and `delta()` functions is needed to be preserved. VictoriaMetrics uses slightly different behaviour for `changes()`, `increase()` and `delta()` functions by default - see [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1962).
 
 * BUGFIX: fix `unaligned 64-bit atomic operation` panic on 32-bit architectures, which has been introduced in v1.70.0. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1944).
-* BUGFIX: [vmalert](https://docs.victoriametrics.com/vmalert.html): restore the ability to use `$labels.alertname` in labels templating. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1921).
+* BUGFIX: [vmalert](https://docs.victoriametrics.com/vmalert/): restore the ability to use `$labels.alertname` in labels templating. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1921).
 * BUGFIX: [vmui](https://docs.victoriametrics.com/#vmui): add missing `query` caption to the input field for the query. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1900).
 * BUGFIX: [vmui](https://docs.victoriametrics.com/#vmui): fix navigation over query history with `Ctrl+up/down` and fix zoom relatively to the cursor position. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1936).
 * BUGFIX: deduplicate samples more thoroughly if [deduplication](https://docs.victoriametrics.com/#deduplication) is enabled. Previously some duplicate samples may be left on disk for time series with high churn rate. This may result in bigger storage space requirements.
-* BUGFIX: [vmagent](https://docs.victoriametrics.com/vmagent.html): follow up to 5 redirects when `follow_redirects: true` is set for a particular scrape config. Previously only a single redirect was performed in this case. It is expected these redirects are performed to the original hostname. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1945).
+* BUGFIX: [vmagent](https://docs.victoriametrics.com/vmagent/): follow up to 5 redirects when `follow_redirects: true` is set for a particular scrape config. Previously only a single redirect was performed in this case. It is expected these redirects are performed to the original hostname. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1945).
 * BUGFIX: de-duplicate data exported via [/api/v1/export/csv](https://docs.victoriametrics.com/#how-to-export-csv-data) by default if [deduplication](https://docs.victoriametrics.com/#deduplication) is enabled. The de-duplication can be disabled by passing `reduce_mem_usage=1` query arg to `/api/v1/export/csv`. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1837).
-* BUGFIX: [vmalert](https://docs.victoriametrics.com/vmalert.html): properly store [historical data](https://docs.victoriametrics.com/vmalert.html#rules-backfilling) to old Prometheus versions. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1943).
+* BUGFIX: [vmalert](https://docs.victoriametrics.com/vmalert/): properly store [historical data](https://docs.victoriametrics.com/vmalert/#rules-backfilling) to old Prometheus versions. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1943).
 
 ## [v1.70.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.70.0)
 
 Released at 2021-12-02
 
-* FEATURE: [vmalert](https://docs.victoriametrics.com/vmalert.html): add ability to pass arbitrary query args to `-datasource.url` on a per-group basis via `params` option. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1892).
-* FEATURE: add `now()` function to MetricsQL. This function returns the current timestamp in seconds. See [these docs](https://docs.victoriametrics.com/MetricsQL.html#now).
+* FEATURE: [vmalert](https://docs.victoriametrics.com/vmalert/): add ability to pass arbitrary query args to `-datasource.url` on a per-group basis via `params` option. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1892).
+* FEATURE: add `now()` function to MetricsQL. This function returns the current timestamp in seconds. See [these docs](https://docs.victoriametrics.com/metricsql/#now).
 * FEATURE: vmauth: allow using optional `name` field in configs. This field is then used as `username` label value for `vmauth_user_requests_total` metric. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1805).
 * FEATURE: vmagent: export `vm_persistentqueue_read_duration_seconds_total` and `vm_persistentqueue_write_duration_seconds_total` metrics, which can be used for detecting persistent queue saturation with `rate(vm_persistentqueue_write_duration_seconds_total) > 0.9` alerting rule.
 * FEATURE: export `vm_filestream_read_duration_seconds_total` and `vm_filestream_write_duration_seconds_total` metrics, which can be used for detecting persistent disk saturation with `rate(vm_filestream_read_duration_seconds_total) > 0.9` alerting rule.
 * FEATURE: export `vm_cache_size_max_bytes` metrics, which show capacity for various caches. These metrics can be used for determining caches with reach its capacity with `vm_cache_size_bytes / vm_cache_size_max_bytes > 0.9` query.
-* FEATURE: [vmbackup](https://docs.victoriametrics.com/vmbackup.html), [vmrestore](https://docs.victoriametrics.com/vmrestore.html): add `-s3ForcePathStyle` command-line flag, which can be used for making backups to [Aliyun OSS](https://www.aliyun.com/product/oss). See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1802).
-* FEATURE: [vmctl](https://docs.victoriametrics.com/vmctl.html): improve data migration from OpenTSDB. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1809). Thanks to @johnseekins .
+* FEATURE: [vmbackup](https://docs.victoriametrics.com/vmbackup/), [vmrestore](https://docs.victoriametrics.com/vmrestore/): add `-s3ForcePathStyle` command-line flag, which can be used for making backups to [Aliyun OSS](https://www.aliyun.com/product/oss). See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1802).
+* FEATURE: [vmctl](https://docs.victoriametrics.com/vmctl/): improve data migration from OpenTSDB. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1809). Thanks to @johnseekins .
 * FEATURE: suppress `connection reset by peer` errors when remote client resets TCP connection to VictoriaMetrics / vmagent while ingesting the data via InfluxDB line protocol, Graphite protocol or OpenTSDB protocol. This error is expected, so there is no need in logging it.
 * FEATURE: [vmui](https://docs.victoriametrics.com/#vmui): store the display type in URL, so it isn't lost when copy-pasting the URL. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1804).
 * FEATURE: vmalert: make `-notifier.url` command-line flag optional. This flag can be omitted if `vmalert` is used solely for recording rules and doesn't evaluate alerting rules. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1870).
-* FEATURE: [vmbackup](https://docs.victoriametrics.com/vmbackup.html), [vmrestore](https://docs.victoriametrics.com/vmrestore.html): export internal metrics at `http://vmbackup:8420/metrics` and `http://vmrestore:8421/metrics` for better visibility of the backup/restore process.
+* FEATURE: [vmbackup](https://docs.victoriametrics.com/vmbackup/), [vmrestore](https://docs.victoriametrics.com/vmrestore/): export internal metrics at `http://vmbackup:8420/metrics` and `http://vmrestore:8421/metrics` for better visibility of the backup/restore process.
 * FEATURE: allow trailing whitespace after the timestamp when [parsing Graphite plaintext lines](https://docs.victoriametrics.com/#how-to-send-data-from-graphite-compatible-agents-such-as-statsd). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1865).
 * FEATURE: expose `/-/healthy` and `/-/ready` endpoints as Prometheus does. This is needed for improving integration with third-party solutions, which rely on these endpoints. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1833).
 
 * BUGFIX: vmagent: prevent from scraping duplicate targets if `-promscrape.dropOriginalLabels` command-line flag is set. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1830). Thanks to @guidao for the fix.
-* BUGFIX: vmstorage [enterprise](https://docs.victoriametrics.com/enterprise/): added missing `vm_tenant_used_tenant_bytes` metric, which shows the approximate per-tenant disk usage. See [these docs](https://docs.victoriametrics.com/PerTenantStatistic.html) and [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1605).
+* BUGFIX: vmstorage [enterprise](https://docs.victoriametrics.com/enterprise/): added missing `vm_tenant_used_tenant_bytes` metric, which shows the approximate per-tenant disk usage. See [these docs](https://docs.victoriametrics.com/pertenantstatistic/) and [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1605).
 * BUGFIX: vmauth: properly take into account the value passed to `-maxIdleConnsPerBackend` command-line flag. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1300).
-* BUGFIX: vmagent: fix [reading data from Kafka](https://docs.victoriametrics.com/vmagent.html#reading-metrics-from-kafka).
-* BUGFIX: vmalert: fix [replay mode](https://docs.victoriametrics.com/vmalert.html#rules-backfilling) in enterprise version.
-* BUGFIX: consistently return zero from [deriv()](https://docs.victoriametrics.com/MetricsQL.html#deriv) function applied to a constant time series. Previously it could return small non-zero values in this case.
-* BUGFIX: [vmrestore](https://docs.victoriametrics.com/vmrestore.html): properly resume downloading for partially downloaded big files. Previously such files were re-downloaded from the beginning after the interrupt. Now only the remaining parts of the file are downloaded. This allows saving network bandwidth. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/487).
+* BUGFIX: vmagent: fix [reading data from Kafka](https://docs.victoriametrics.com/vmagent/#reading-metrics-from-kafka).
+* BUGFIX: vmalert: fix [replay mode](https://docs.victoriametrics.com/vmalert/#rules-backfilling) in enterprise version.
+* BUGFIX: consistently return zero from [deriv()](https://docs.victoriametrics.com/metricsql/#deriv) function applied to a constant time series. Previously it could return small non-zero values in this case.
+* BUGFIX: [vmrestore](https://docs.victoriametrics.com/vmrestore/): properly resume downloading for partially downloaded big files. Previously such files were re-downloaded from the beginning after the interrupt. Now only the remaining parts of the file are downloaded. This allows saving network bandwidth. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/487).
 * BUGFIX: [vmui](https://docs.victoriametrics.com/#vmui): do not store the last query across vmui page reloads. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1694).
 * BUGFIX: [vmui](https://docs.victoriametrics.com/#vmui): fix `Cannot read properties of undefined` error at table view. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1797).
 
@@ -79,7 +79,7 @@ Released at 2021-12-02
 Released at 2021-11-08
 
 * FEATURE: vmalert: allow groups with empty rules list like Prometheus does. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1742).
-* FEATURE: vmalert: allow groups with default `tenant` in `-clusterMode`. Default `tenant` values can be specified via `-defaultTenant.prometheus` and `-defaultTenant.graphite`. See [these docs](https://docs.victoriametrics.com/vmalert.html#multitenancy).
+* FEATURE: vmalert: allow groups with default `tenant` in `-clusterMode`. Default `tenant` values can be specified via `-defaultTenant.prometheus` and `-defaultTenant.graphite`. See [these docs](https://docs.victoriametrics.com/vmalert/#multitenancy).
 * FEATURE: vmagent: add `collapse` and `expand` buttons per each group of targets with the same `job_name` at `http://vmagent:8429/targets` page.
 * FEATURE: automatically detect timestamp precision (ns, us, ms or s) for the data ingested into VictoriaMetrics via [InfluxDB line protocol](https://docs.victoriametrics.com/#how-to-send-data-from-influxdb-compatible-agents-such-as-telegraf).
 * FEATURE: vmagent: add ability to protect `/config` page with auth key via `-configAuthKey` command-line flag. This page may contain sensitive config information, so it may be good to restrict access to this page. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1764).
@@ -87,12 +87,12 @@ Released at 2021-11-08
 * FEATURE: vmagent: add `-promscrape.maxResponseHeadersSize` command-line flag for tuning the maximum HTTP response headers size for Prometheus scrape targets.
 * FEATURE: vmagent: send data to multiple configured remote storage systems in parallel (e.g. when multiple `-remoteWrite.url` flag values are specified). This should improve data ingestion speed.
 * FEATURE: vmagent: add `-remoteWrite.maxRowsPerBlock` command-line flag for tuning the number of samples to send to remote storage per each block. Bigger values may improve data ingestion performance at the cost of higher memory usage.
-* FEATURE: vmagent: distribute Kafka messages among all the partitions when [writing data to Kafka](https://docs.victoriametrics.com/vmagent.html#writing-metrics-to-kafka).
-* FEATURE: add [label_graphite_group](https://docs.victoriametrics.com/MetricsQL.html#label_graphite_group) function for extracting the given groups from Graphite metric names.
-* FEATURE: add [duration_over_time](https://docs.victoriametrics.com/MetricsQL.html#duration_over_time) function for calculating the actual lifetime of the time series with possible gaps. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1780).
-* FEATURE: add [limit_offset](https://docs.victoriametrics.com/MetricsQL.html#limit_offset) function, which can be used for implementing simple paging over big number of time series. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1778).
+* FEATURE: vmagent: distribute Kafka messages among all the partitions when [writing data to Kafka](https://docs.victoriametrics.com/vmagent/#writing-metrics-to-kafka).
+* FEATURE: add [label_graphite_group](https://docs.victoriametrics.com/metricsql/#label_graphite_group) function for extracting the given groups from Graphite metric names.
+* FEATURE: add [duration_over_time](https://docs.victoriametrics.com/metricsql/#duration_over_time) function for calculating the actual lifetime of the time series with possible gaps. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1780).
+* FEATURE: add [limit_offset](https://docs.victoriametrics.com/metricsql/#limit_offset) function, which can be used for implementing simple paging over big number of time series. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1778).
 
-* BUGFIX: vmagent: reduce the increased memory usage when scraping targets with big number of metrics which periodically change. The memory usage has been increased in v1.68.0 after vmagent started generating staleness markers in [stream parse mode](https://docs.victoriametrics.com/vmagent.html#stream-parsing-mode). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1745).
+* BUGFIX: vmagent: reduce the increased memory usage when scraping targets with big number of metrics which periodically change. The memory usage has been increased in v1.68.0 after vmagent started generating staleness markers in [stream parse mode](https://docs.victoriametrics.com/vmagent/#stream-parsing-mode). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1745).
 * BUGFIX: vmagent: properly display `proxy_url` config option at `http://vmagent:8429/config` page. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1755).
 * BUGFIX: fix tests for Apple M1. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1653).
 
@@ -103,43 +103,43 @@ Released at 2021-10-22
 * FEATURE: vmagent: expose `-promscrape.config` contents at `/config` page as Prometheus does. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1695).
 * FEATURE: vmagent: add `show original labels` button per each scrape target displayed at `http://vmagent:8429/targets` page. This should improve debuggability for service discovery and relabeling issues similar to [this one](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1664). See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1698).
 * FEATURE: vmagent: shard targets among cluster nodes after the relabeling is applied. This should guarantee that targets with the same set of labels go to the same `vmagent` node in the cluster. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1687).
-* FEATURE: vmagent: atomatically switch to [stream parsing mode](https://docs.victoriametrics.com/vmagent.html#stream-parsing-mode) if the response from the given target exceeds the command-line flag value `-promscrape.minResponseSizeForStreamParse`. This should reduce memory usage when `vmagent` scrapes targets with non-uniform response sizes (this is the case in Kubernetes monitoring).
-* FEATURE: vmagent: send Prometheus-like staleness marks in [stream parsing mode](https://docs.victoriametrics.com/vmagent.html#stream-parsing-mode). Previously staleness marks wern't sent in stream parsing mode. See [these docs](https://docs.victoriametrics.com/vmagent.html#prometheus-staleness-markers) for details.
-* FEATURE: vmagent: properly calculate `scrape_series_added` metric for targets in [stream parsing mode](https://docs.victoriametrics.com/vmagent.html#stream-parsing-mode). Previously it was set to 0 in stream parsing mode. See [more details about this metric](https://prometheus.io/docs/concepts/jobs_instances/#automatically-generated-labels-and-time-series).
-* FEATURE: vmagent: expose `promscrape_series_limit_max_series` and `promscrape_series_limit_current_series` metrics at `http://vmagent:8429/metrics` for scrape targets with the [enabled series limiter](https://docs.victoriametrics.com/vmagent.html#cardinality-limiter).
-* FEATURE: vmagent: return error if `sample_limit` or `series_limit` options are set when [stream parsing mode](https://docs.victoriametrics.com/vmagent.html#stream-parsing-mode) is enabled, since these limits cannot be applied in stream parsing mode.
+* FEATURE: vmagent: atomatically switch to [stream parsing mode](https://docs.victoriametrics.com/vmagent/#stream-parsing-mode) if the response from the given target exceeds the command-line flag value `-promscrape.minResponseSizeForStreamParse`. This should reduce memory usage when `vmagent` scrapes targets with non-uniform response sizes (this is the case in Kubernetes monitoring).
+* FEATURE: vmagent: send Prometheus-like staleness marks in [stream parsing mode](https://docs.victoriametrics.com/vmagent/#stream-parsing-mode). Previously staleness marks wern't sent in stream parsing mode. See [these docs](https://docs.victoriametrics.com/vmagent/#prometheus-staleness-markers) for details.
+* FEATURE: vmagent: properly calculate `scrape_series_added` metric for targets in [stream parsing mode](https://docs.victoriametrics.com/vmagent/#stream-parsing-mode). Previously it was set to 0 in stream parsing mode. See [more details about this metric](https://prometheus.io/docs/concepts/jobs_instances/#automatically-generated-labels-and-time-series).
+* FEATURE: vmagent: expose `promscrape_series_limit_max_series` and `promscrape_series_limit_current_series` metrics at `http://vmagent:8429/metrics` for scrape targets with the [enabled series limiter](https://docs.victoriametrics.com/vmagent/#cardinality-limiter).
+* FEATURE: vmagent: return error if `sample_limit` or `series_limit` options are set when [stream parsing mode](https://docs.victoriametrics.com/vmagent/#stream-parsing-mode) is enabled, since these limits cannot be applied in stream parsing mode.
 * FEATURE: vmalert: add `-remoteRead.disablePathAppend` command-line flag, which allows specifying the full `-remoteRead.url`. If `-remoteRead.disablePathAppend` is set, then `vmalert` doesn't add `/api/v1/query` suffix to `-remoteRead.url`.
-* FEATURE: add trigonometric functions, which are going to be added in [Prometheus 2.31](https://github.com/prometheus/prometheus/pull/9239): [acosh](https://docs.victoriametrics.com/MetricsQL.html#acosh), [asinh](https://docs.victoriametrics.com/MetricsQL.html#asinh), [atan](https://docs.victoriametrics.com/MetricsQL.html#atan), [atanh](https://docs.victoriametrics.com/MetricsQL.html#atanh), [cosh](https://docs.victoriametrics.com/MetricsQL.html#cosh), [deg](https://docs.victoriametrics.com/MetricsQL.html#deg), [rad](https://docs.victoriametrics.com/MetricsQL.html#rad), [sinh](https://docs.victoriametrics.com/MetricsQL.html#sinh), [tan](https://docs.victoriametrics.com/MetricsQL.html#tan), [tanh](https://docs.victoriametrics.com/MetricsQL.html#tanh). Also add `atan2` binary operator. See [this pull request](https://github.com/prometheus/prometheus/pull/9248).
-* FEATURE: consistently return the same set of time series from [limitk](https://docs.victoriametrics.com/MetricsQL.html#limitk) function. This improves the usability of periodically refreshed graphs.
+* FEATURE: add trigonometric functions, which are going to be added in [Prometheus 2.31](https://github.com/prometheus/prometheus/pull/9239): [acosh](https://docs.victoriametrics.com/metricsql/#acosh), [asinh](https://docs.victoriametrics.com/metricsql/#asinh), [atan](https://docs.victoriametrics.com/metricsql/#atan), [atanh](https://docs.victoriametrics.com/metricsql/#atanh), [cosh](https://docs.victoriametrics.com/metricsql/#cosh), [deg](https://docs.victoriametrics.com/metricsql/#deg), [rad](https://docs.victoriametrics.com/metricsql/#rad), [sinh](https://docs.victoriametrics.com/metricsql/#sinh), [tan](https://docs.victoriametrics.com/metricsql/#tan), [tanh](https://docs.victoriametrics.com/metricsql/#tanh). Also add `atan2` binary operator. See [this pull request](https://github.com/prometheus/prometheus/pull/9248).
+* FEATURE: consistently return the same set of time series from [limitk](https://docs.victoriametrics.com/metricsql/#limitk) function. This improves the usability of periodically refreshed graphs.
 * FEATURE: [vmui](https://docs.victoriametrics.com/#vmui): varios UX improvements. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1711) and [these docs](https://docs.victoriametrics.com/#vmui).
-* FEATURE: [vmauth](https://docs.victoriametrics.com/vmauth.html): add ability to specify HTTP headers, which will be sent in requests to backends. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1736).
+* FEATURE: [vmauth](https://docs.victoriametrics.com/vmauth/): add ability to specify HTTP headers, which will be sent in requests to backends. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1736).
 * FEATURE: add `/flags` page to all the VictoriaMetrics components. This page contains command-line flags passed to the component.
 * FEATURE: allow using tab separators additionally to whitespace separators when [ingesting data in Graphite plaintext protocol](https://docs.victoriametrics.com/#how-to-send-data-from-graphite-compatible-agents-such-as-statsd). Such separators are [supported by Carbon-c-relay](https://github.com/grobian/carbon-c-relay/commit/f3ffe6cc2b52b07d14acbda649ad3fd6babdd528).
 
 * BUGFIX: vmstorage: fix `unaligned 64-bit atomic operation` panic on 32-bit architectures (arm and 386). The panic has been introduced in v1.67.0.
 * BUGFIX: vmalert, vmauth: prevent from frequent closing of TCP connections established to backends under high load. This should reduce the number of TCP sockets in `TIME_WAIT` state at `vmalert` and `vmauth` under high load. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1704).
 * BUGFIX: vmalert: correctly calculate alert ID including extra labels. Previously, ID for alert entity was generated without alertname or groupname. This led to collision, when multiple alerting rules within the same group producing same labelsets. E.g. expr: `sum(metric1) by (job) > 0` and expr: `sum(metric2) by (job) > 0` could result into same labelset `job: "job"`. The bugfix adds all extra labels right after receiving response from the datasource. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1734).
-* BUGFIX: vmalert: fix links in [Web UI](https://docs.victoriametrics.com/vmalert.html#web). See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1717).
-* BUGFIX: vmagent: set `honor_timestamps: true` by default in [scrape configs](https://docs.victoriametrics.com/sd_configs.html#scrape_configs) if this options isn't set explicitly. This aligns the behaviour with Prometheus.
+* BUGFIX: vmalert: fix links in [Web UI](https://docs.victoriametrics.com/vmalert/#web). See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1717).
+* BUGFIX: vmagent: set `honor_timestamps: true` by default in [scrape configs](https://docs.victoriametrics.com/sd_configs/#scrape_configs) if this options isn't set explicitly. This aligns the behaviour with Prometheus.
 * BUGFIX: vmagent: group scrape targets by the original job names at `http://vmagent:8429/targets` page like Prometheus does. Previously they were grouped by the job name after relabeling, which may result in unexpected empty target groups. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1707).
-* BUGFIX: [vmctl](https://docs.victoriametrics.com/vmctl.html): fix importing boolean fields from InfluxDB line protocol. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1709).
+* BUGFIX: [vmctl](https://docs.victoriametrics.com/vmctl/): fix importing boolean fields from InfluxDB line protocol. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1709).
 
 ## [v1.67.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.67.0)
 
 Released at 2021-10-08
 
-* FEATURE: add ability to accept metrics from [DataDog agent](https://docs.datadoghq.com/agent/) and [DogStatsD](https://docs.datadoghq.com/developers/dogstatsd/). See [these docs](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html#how-to-send-data-from-datadog-agent). This option simplifies the migration path from DataDog to VictoriaMetrics. See also [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/206).
-* FEATURE: vmagent [enterprise](https://docs.victoriametrics.com/enterprise/): add support for data reading and writing from/to [Apache Kafka](https://kafka.apache.org/). See [these docs](https://docs.victoriametrics.com/vmagent.html#kafka-integration).
+* FEATURE: add ability to accept metrics from [DataDog agent](https://docs.datadoghq.com/agent/) and [DogStatsD](https://docs.datadoghq.com/developers/dogstatsd/). See [these docs](https://docs.victoriametrics.com/single-server-victoriametrics/#how-to-send-data-from-datadog-agent). This option simplifies the migration path from DataDog to VictoriaMetrics. See also [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/206).
+* FEATURE: vmagent [enterprise](https://docs.victoriametrics.com/enterprise/): add support for data reading and writing from/to [Apache Kafka](https://kafka.apache.org/). See [these docs](https://docs.victoriametrics.com/vmagent/#kafka-integration).
 * FEATURE: vmui: switch to [μPlot](https://github.com/leeoniya/uPlot) and add ability to naturally scroll and zoom graphs. See [these docs](https://docs.victoriametrics.com/#vmui). Thanks to @Loori-R.
 * FEATURE: vmstorage: stop accepting new data if `-storageDataPath` directory contains less than `-storage.minFreeDiskSpaceBytes` of free space. This should prevent from `out of disk space` crashes. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/269).
-* FEATURE: calculate quantiles in the same way as Prometheus does in such functions as [quantile_over_time](https://docs.victoriametrics.com/MetricsQL.html#quantile_over_time) and [quantile](https://docs.victoriametrics.com/MetricsQL.html#quantile). Previously results from VictoriaMetrics could be slightly different than results from Prometheus. See [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1625) and [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1612) issues.
-* FEATURE: add `rollup_scrape_interval(m[d])` function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html), which returns `min`, `max` and `avg` values for the interval between samples for `m` on the given lookbehind window `d`.
-* FEATURE: add `topk_last(k, q)` and `bottomk_last(k, q)` functions to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html), which return up to `k` time series from `q` with the maximum / minimum last value on the graph.
+* FEATURE: calculate quantiles in the same way as Prometheus does in such functions as [quantile_over_time](https://docs.victoriametrics.com/metricsql/#quantile_over_time) and [quantile](https://docs.victoriametrics.com/metricsql/#quantile). Previously results from VictoriaMetrics could be slightly different than results from Prometheus. See [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1625) and [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1612) issues.
+* FEATURE: add `rollup_scrape_interval(m[d])` function to [MetricsQL](https://docs.victoriametrics.com/metricsql/), which returns `min`, `max` and `avg` values for the interval between samples for `m` on the given lookbehind window `d`.
+* FEATURE: add `topk_last(k, q)` and `bottomk_last(k, q)` functions to [MetricsQL](https://docs.victoriametrics.com/metricsql/), which return up to `k` time series from `q` with the maximum / minimum last value on the graph.
 
 * BUGFIX: align behavior of the queries `a or on (labels) b`, `a and on (labels) b` and `a unless on (labels) b` where `b` has multiple time series with the given `labels` to Prometheus behavior. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1643).
 * BUGFIX: vmagent: fix `openstack_sd_config` service discovery when both `domain_name` and `project_id` config options are set. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1655).
-* BUGFIX: return proper values (zeroes) from [stddev_over_time](https://docs.victoriametrics.com/MetricsQL.html#stddev_over_time) and [stdvar_over_time](https://docs.victoriametrics.com/MetricsQL.html#stdvar_over_time) functions when the lookbehind window in square brackets contains only a single sample. Previously the sample value was incorrectly returned in this case.
-* BUGFIX: vminsert: fix uneven distribution of time series among storage nodes in [multi-level cluster setup](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#multi-level-cluster-setup). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1672).
+* BUGFIX: return proper values (zeroes) from [stddev_over_time](https://docs.victoriametrics.com/metricsql/#stddev_over_time) and [stdvar_over_time](https://docs.victoriametrics.com/metricsql/#stdvar_over_time) functions when the lookbehind window in square brackets contains only a single sample. Previously the sample value was incorrectly returned in this case.
+* BUGFIX: vminsert: fix uneven distribution of time series among storage nodes in [multi-level cluster setup](https://docs.victoriametrics.com/cluster-victoriametrics/#multi-level-cluster-setup). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1672).
 
 ## [v1.66.2](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.66.2)
 
@@ -166,65 +166,65 @@ Released at 2021-09-20
 * FEATURE: vmalert: add web UI with the list of alerting groups, alerts and alert statuses. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1602).
 * FEATURE: vmalert: add `-rule.maxResolveDuration` command-line flag, which could be used for limiting the auto-resolve duration for the alerting rule. By default it is limited to 3x evaluation interval. This could be too high for big evaluation intervals. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1586).
 * FEATURE: vmalert: add support for Bearer token authorization for `-datasource.url`, `-remoteRead.url` and `-remoteWrite.url`. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1608).
-* FEATURE: vmagent: send stale markers for disappeared metrics like Prometheus does. Previously stale markers were sent only when the scrape target disappears or when it becomes temporarily unavailable. See [these docs](https://docs.victoriametrics.com/vmagent.html#prometheus-staleness-markers) for details.
-* FEATURE: vmagent: add ability to set `series_limit` option for a particular scrape target via `__series_limit__` label. This allows setting the limit on the number of time series on a per-target basis. See [these docs](https://docs.victoriametrics.com/vmagent.html#cardinality-limiter) for details.
-* FEATURE: vmagent: add ability to set `stream_parse` option for a particular scrape target via `__stream_parse__` label. This allows managing the stream parsing mode on a per-target basis. See [these docs](https://docs.victoriametrics.com/vmagent.html#stream-parsing-mode) for details.
+* FEATURE: vmagent: send stale markers for disappeared metrics like Prometheus does. Previously stale markers were sent only when the scrape target disappears or when it becomes temporarily unavailable. See [these docs](https://docs.victoriametrics.com/vmagent/#prometheus-staleness-markers) for details.
+* FEATURE: vmagent: add ability to set `series_limit` option for a particular scrape target via `__series_limit__` label. This allows setting the limit on the number of time series on a per-target basis. See [these docs](https://docs.victoriametrics.com/vmagent/#cardinality-limiter) for details.
+* FEATURE: vmagent: add ability to set `stream_parse` option for a particular scrape target via `__stream_parse__` label. This allows managing the stream parsing mode on a per-target basis. See [these docs](https://docs.victoriametrics.com/vmagent/#stream-parsing-mode) for details.
 * FEATURE: vmagent: add ability to set `scrape_interval` and `scrape_timeout` options for a particular target via `__scrape_interval__` and `__scrape_timeout__` labels in the same way as Prometheus 2.30 does. See [this pull request](https://github.com/prometheus/prometheus/pull/8911).
 * FEATURE: vmagent: generate `scrape_timeout_seconds` metric per each scrape target, so the target saturation could be calculated with `scrape_duration_seconds / scrape_timeout_seconds`. See the corresponding [pull request from Prometheus 2.30](https://github.com/prometheus/prometheus/pull/9247).
 * FEATURE: vmagent: reduce CPU usage when calculating the number of newly added series per scrape (this number is sent to remote storage in `scrape_series_added` metric).
-* FEATURE: vmagent: reduce CPU usage when applying `series_limit` to scrape targets with constant set of metrics. See more information about `series_limit` [here](https://docs.victoriametrics.com/vmagent.html#cardinality-limiter).
-* FEATURE: vminsert: disable rerouting by default when a few of `vmstorage` nodes start accepting data at lower speed than the rest of `vmstorage` nodes. This should improve VictoriaMetrics cluster stability during rolling restarts and during spikes in [time series churn rate](https://docs.victoriametrics.com/FAQ.html#what-is-high-churn-rate). The rerouting can be enabled by passing `-disableRerouting=false` command-line flag to `vminsert`.
+* FEATURE: vmagent: reduce CPU usage when applying `series_limit` to scrape targets with constant set of metrics. See more information about `series_limit` [here](https://docs.victoriametrics.com/vmagent/#cardinality-limiter).
+* FEATURE: vminsert: disable rerouting by default when a few of `vmstorage` nodes start accepting data at lower speed than the rest of `vmstorage` nodes. This should improve VictoriaMetrics cluster stability during rolling restarts and during spikes in [time series churn rate](https://docs.victoriametrics.com/faq/#what-is-high-churn-rate). The rerouting can be enabled by passing `-disableRerouting=false` command-line flag to `vminsert`.
 * FEATURE: vmauth: do not put invalid auth tokens into log by default due to security reasons. The logging can be returned back by passing `-logInvalidAuthTokens` command-line flag to `vmauth`. Requests with invalid auth tokens are counted at `vmagent_http_request_errors_total{reason="invalid_auth_token"}` metric exposed by `vmauth` at `/metrics` page.
-* FEATURE: add new relabeling actions: `keep_metrics` and `drop_metrics`. This simplifies metrics filtering by metric names. See [these docs](https://docs.victoriametrics.com/vmagent.html#relabeling) for more details.
-* FEATURE: allow splitting long `regex` in relabeling filters into an array of shorter regexps, which can be put into multiple lines for better readability and maintainability. See [these docs](https://docs.victoriametrics.com/vmagent.html#relabeling) for more details.
+* FEATURE: add new relabeling actions: `keep_metrics` and `drop_metrics`. This simplifies metrics filtering by metric names. See [these docs](https://docs.victoriametrics.com/vmagent/#relabeling) for more details.
+* FEATURE: allow splitting long `regex` in relabeling filters into an array of shorter regexps, which can be put into multiple lines for better readability and maintainability. See [these docs](https://docs.victoriametrics.com/vmagent/#relabeling) for more details.
 * FEATURE: optimize performance for queries with regexp filters on metric name like `{__name__=~"metric1|...|metricN"}`. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1610) from @faceair.
 * FEATURE: vmui: use Prometheus-compatible query args, so `vmui` could be accessed from graph editor in Grafana. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1619). Thanks to @Loori-R.
-* FEATURE: vmselect: automatically add missing port to `-storageNode` hostnames. For example, `-storageNode=vmstorage1,vmstorage2` is automatically translated to `-storageNode=vmstorage1:8401,vmstorage2:8401`. This simplifies [manual setup of VictoriaMetrics cluster](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#cluster-setup).
-* FEATURE: vminsert: automatically add missing port to `-storageNode` hostnames. For example, `-storageNode=vmstorage1,vmstorage2` is automatically translated to `-storageNode=vmstorage1:8400,vmstorage2:8400`. This simplifies [manual setup of VictoriaMetrics cluster](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#cluster-setup).
-* FEATURE: add [mad(q)](https://docs.victoriametrics.com/MetricsQL.html#mad) function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html). It calculates [Median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation) for groups of points with identical timestamps across multiple time series.
-* FEATURE: add [outliers_mad(tolerance, q)](https://docs.victoriametrics.com/MetricsQL.html#outliers_mad) function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html). It returns time series with peaks outside the [Median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation) multiplied by `tolerance`.
-* FEATURE: add `histogram_quantiles("phiLabel", phi1, ..., phiN, buckets)` function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html). It calculates the given `phi*`-quantiles over the given `buckets` and returns time series per each quantile with the corresponding `{phiLabel="phi*"}` label.
-* FEATURE: add `quantiles_over_time("phiLabel", phi1, ..., phiN, series_selector[d])` function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html). It calculates the given `phi*`-quantiles over raw samples selected by `series_selector` on the given lookbehind window `d`. It returns time series per each quantile with the corresponding `{phiLabel="phi*"}` label.
+* FEATURE: vmselect: automatically add missing port to `-storageNode` hostnames. For example, `-storageNode=vmstorage1,vmstorage2` is automatically translated to `-storageNode=vmstorage1:8401,vmstorage2:8401`. This simplifies [manual setup of VictoriaMetrics cluster](https://docs.victoriametrics.com/cluster-victoriametrics/#cluster-setup).
+* FEATURE: vminsert: automatically add missing port to `-storageNode` hostnames. For example, `-storageNode=vmstorage1,vmstorage2` is automatically translated to `-storageNode=vmstorage1:8400,vmstorage2:8400`. This simplifies [manual setup of VictoriaMetrics cluster](https://docs.victoriametrics.com/cluster-victoriametrics/#cluster-setup).
+* FEATURE: add [mad(q)](https://docs.victoriametrics.com/metricsql/#mad) function to [MetricsQL](https://docs.victoriametrics.com/metricsql/). It calculates [Median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation) for groups of points with identical timestamps across multiple time series.
+* FEATURE: add [outliers_mad(tolerance, q)](https://docs.victoriametrics.com/metricsql/#outliers_mad) function to [MetricsQL](https://docs.victoriametrics.com/metricsql/). It returns time series with peaks outside the [Median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation) multiplied by `tolerance`.
+* FEATURE: add `histogram_quantiles("phiLabel", phi1, ..., phiN, buckets)` function to [MetricsQL](https://docs.victoriametrics.com/metricsql/). It calculates the given `phi*`-quantiles over the given `buckets` and returns time series per each quantile with the corresponding `{phiLabel="phi*"}` label.
+* FEATURE: add `quantiles_over_time("phiLabel", phi1, ..., phiN, series_selector[d])` function to [MetricsQL](https://docs.victoriametrics.com/metricsql/). It calculates the given `phi*`-quantiles over raw samples selected by `series_selector` on the given lookbehind window `d`. It returns time series per each quantile with the corresponding `{phiLabel="phi*"}` label.
 * FEATURE: [enterprise](https://docs.victoriametrics.com/enterprise/): do not ask for `-eula` flag if `-version` flag is passed to enteprise app. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1621).
 
 * BUGFIX: properly handle queries with multiple filters matching empty labels such as `metric{label1=~"foo|",label2="bar|"}`. This filter must match the following series: `metric`, `metric{label1="foo"}`, `metric{label2="bar"}` and `metric{label1="foo",label2="bar"}`. Previously it was matching only `metric{label1="foo",label2="bar"}`. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1601).
 * BUGFIX: vmselect: reset connection timeouts after each request to `vmstorage`. This should prevent from `cannot read data in 0.000 seconds: unexpected EOF` warning in logs. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1562). Thanks to @mxlxm .
-* BUGFIX: keep metric name for time series returned from [rollup_candlestick](https://docs.victoriametrics.com/MetricsQL.html#rollup_candlestick) function, since the returned series don't change the meaning of the original series. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1600).
-* BUGFIX: use Prometheus-compatible label value formatting for [count_values](https://docs.victoriametrics.com/MetricsQL.html#count_values) function. Previously big values could be improperly formatted, which could break query results, which rely on label value such as `... on(label) count_values("label", ...)`.
+* BUGFIX: keep metric name for time series returned from [rollup_candlestick](https://docs.victoriametrics.com/metricsql/#rollup_candlestick) function, since the returned series don't change the meaning of the original series. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1600).
+* BUGFIX: use Prometheus-compatible label value formatting for [count_values](https://docs.victoriametrics.com/metricsql/#count_values) function. Previously big values could be improperly formatted, which could break query results, which rely on label value such as `... on(label) count_values("label", ...)`.
 * BUGFIX: vmagent: properly use `https` scheme for wildcard TLS certificates for `role: ingress` targets in Kubernetes service discovery. See [this issue](https://github.com/prometheus/prometheus/issues/8902).
 * BUGFIX: vmagent: support host networking mode for `docker_sd_config`. See [this issue](https://github.com/prometheus/prometheus/issues/9116).
 * BUGFIX: fix non-repeatable results from `quantile_over_time()` function when the number of input samples exceeds 1000. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1612).
-* BUGFIX: vmagent: fix EC2 zone discovery when `filters` are specified in [ec2_sc_config](https://docs.victoriametrics.com/sd_configs.html#ec2_sd_configs). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1626).
+* BUGFIX: vmagent: fix EC2 zone discovery when `filters` are specified in [ec2_sc_config](https://docs.victoriametrics.com/sd_configs/#ec2_sd_configs). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1626).
 
 ## [v1.65.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.65.0)
 
 Released at 2021-09-01
 
 * FEATURE: vmagent: add ability to read scrape configs from multiple files specified in `scrape_config_files` section. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1559).
-* FEATURE: vmagent: reduce memory usage and CPU usage when [Prometheus staleness tracking](https://docs.victoriametrics.com/vmagent.html#prometheus-staleness-markers) is enabled for metrics exported from the deleted or disappeared scrape targets.
-* FEATURE: vmagent: add the ability to limit the number of unique time series scraped per each target. This can be done either globally via `-promscrape.seriesLimitPerTarget` command-line option or on per-target basis via `series_limit` option at `scrape_config` section. See [the updated docs on cardinality limiter](https://docs.victoriametrics.com/vmagent.html#cardinality-limiter) and [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1561).
-* FEATURE: vmagent: discover `role: ingress` and `role: endpointslice` in [kubernetes_sd_config](https://docs.victoriametrics.com/sd_configs.html#kubernetes_sd_configs) via v1 API instead of v1beta1 API if Kubernetes supports it. This fixes service discovery in Kubernetes v1.22 and newer versions. See [these docs](https://kubernetes.io/docs/reference/using-api/deprecation-guide/#ingress-v122).
+* FEATURE: vmagent: reduce memory usage and CPU usage when [Prometheus staleness tracking](https://docs.victoriametrics.com/vmagent/#prometheus-staleness-markers) is enabled for metrics exported from the deleted or disappeared scrape targets.
+* FEATURE: vmagent: add the ability to limit the number of unique time series scraped per each target. This can be done either globally via `-promscrape.seriesLimitPerTarget` command-line option or on per-target basis via `series_limit` option at `scrape_config` section. See [the updated docs on cardinality limiter](https://docs.victoriametrics.com/vmagent/#cardinality-limiter) and [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1561).
+* FEATURE: vmagent: discover `role: ingress` and `role: endpointslice` in [kubernetes_sd_config](https://docs.victoriametrics.com/sd_configs/#kubernetes_sd_configs) via v1 API instead of v1beta1 API if Kubernetes supports it. This fixes service discovery in Kubernetes v1.22 and newer versions. See [these docs](https://kubernetes.io/docs/reference/using-api/deprecation-guide/#ingress-v122).
 * FEATURE: take into account failed queries in `vm_request_duration_seconds` summary at `/metrics`. Previously only successful queries were taken into account. This could result in skewed summary. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1537).
-* FEATURE: vmalert: add an official dashboard for vmalert. See [these docs](https://docs.victoriametrics.com/vmalert.html#monitoring).
+* FEATURE: vmalert: add an official dashboard for vmalert. See [these docs](https://docs.victoriametrics.com/vmalert/#monitoring).
 * FEATURE: vmalert: add ability to set additional labels per group via `labels` config section. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1471).
 * FEATURE: vmalert: add `-disableAlertgroupLabel` command-line flag for disabling the label with alert group name. This may be needed for proper deduplication in Alertmanager. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1532).
 * FEATURE: update Go builder from v1.16.7 to v1.17.0. This improves data ingestion and query performance by up to 5% according to benchmarks. See [the release post for Go1.17](https://go.dev/blog/go1.17).
 * FEATURE: vmagent: expose `promscrape_discovery_http_errors_total` metric, which can be used for monitoring the number of failed discovery attempts per each `http_sd` config.
 * FEATURE: do not reset response cache when a sample with old timestamp is ingested into VictoriaMetrics if `-search.disableAutoCacheReset` command-line option is set. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1570).
-* FEATURE: add `quantiles("phiLabel", phi1, ..., phiN, q)` aggregate function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html), which calculates the given `phi*` quantiles over time series returned by `q`. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1573).
+* FEATURE: add `quantiles("phiLabel", phi1, ..., phiN, q)` aggregate function to [MetricsQL](https://docs.victoriametrics.com/metricsql/), which calculates the given `phi*` quantiles over time series returned by `q`. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1573).
 
 * BUGFIX: rename `sign` function to `sgn` in order to be consistent with PromQL. See [this pull request from Prometheus](https://github.com/prometheus/prometheus/pull/8457).
-* BUGFIX: vmagent: add `role: endpointslice` in [kubernetes_sd_config](https://docs.victoriametrics.com/sd_configs.html#kubernetes_sd_configs) in order to be consistent with Prometheus. Previously this role was supported with incorrect name: `role: endpointslices`. Now both `endpointslice` and `endpointslices` are supported. See [the corresponding code in Prometheus](https://github.com/prometheus/prometheus/blob/2ec6c7dbb82b72834021e01f1773eb90a67a371f/discovery/kubernetes/kubernetes.go#L99).
+* BUGFIX: vmagent: add `role: endpointslice` in [kubernetes_sd_config](https://docs.victoriametrics.com/sd_configs/#kubernetes_sd_configs) in order to be consistent with Prometheus. Previously this role was supported with incorrect name: `role: endpointslices`. Now both `endpointslice` and `endpointslices` are supported. See [the corresponding code in Prometheus](https://github.com/prometheus/prometheus/blob/2ec6c7dbb82b72834021e01f1773eb90a67a371f/discovery/kubernetes/kubernetes.go#L99).
 * BUGFIX: improve the detection of the needed free space for background merge operation. This should prevent from possible out of disk space crashes during big merges. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1560).
 * BUGFIX: vmauth: remove trailing slash from the full url before requesting it from the backend. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1554).
-* BUGFIX: [vmbackupmanager](https://docs.victoriametrics.com/vmbackupmanager.html): fix timeout error when snapshot takes longer than 10 seconds. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1571).
+* BUGFIX: [vmbackupmanager](https://docs.victoriametrics.com/vmbackupmanager/): fix timeout error when snapshot takes longer than 10 seconds. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1571).
 * BUGFIX: properly parse OpenTSDB `put` messages with multiple spaces between message elements. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1574). Thanks to @envzhu for the fix.
 
 ## [v1.64.1](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.64.1)
 
 Released at 2021-08-19
 
-* FEATURE: add `bitmap_and(q, mask)`, `bitmap_or(q, mask)` and `bitmak_xor(q, mask)` functions to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html). These functions allow performing bitwise operations over data points in time series. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1541).
+* FEATURE: add `bitmap_and(q, mask)`, `bitmap_or(q, mask)` and `bitmak_xor(q, mask)` functions to [MetricsQL](https://docs.victoriametrics.com/metricsql/). These functions allow performing bitwise operations over data points in time series. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1541).
 * FEATURE: vmalert: add `-remoteWrite.disablePathAppend` command-line flag, which can be used when custom `-remoteWrite.url` must be specified. For example, `./vmalert -disablePathAppend -remoteWrite.url='http://foo.bar/a/b/c?d=e'` would write data to `http://foo.bar/a/b/c?d=e` instead of `http://foo.bar/a/b/c?d=e/api/v1/write`. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1536).
 * FEATURE: vmagent: add `-promscrape.noStaleMarkers` command-line flag for disabling sending Prometheus stale markers for metrics from disappeared scrape targets. This option may be used for reducing memory usage when scraping big number of metrics with big number of labels and when stale markers aren't needed.
 * FEATURE: vmselect: add `-search.noStaleMarkers` command-line flag for disabling stale markers handling in queries. This may save some CPU time when the queried data doesn't contain stale markers.
@@ -241,7 +241,7 @@ Released at 2021-08-15
 * FEATURE: add support for Prometheus staleness markers. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1526).
 * FEATURE: vmagent: automatically generate Prometheus staleness markers for the scraped metrics when scrape targets disappear in the same way as Prometheus does. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1526).
 * FEATURE: add `present_over_time(m[d])` function, which returns 1 if `m` has a least a single sample over the previous duration `d`. This function has been added also to [Prometheus 2.29](https://github.com/prometheus/prometheus/releases/tag/v2.29.0).
-* FEATURE: vmagent: support multitenant writes according to [these docs](https://docs.victoriametrics.com/vmagent.html#multitenancy). This allows using a single `vmagent` instance in front of VictoriaMetrics cluster for all the tenants. Thanks to @omarghader for [the pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1505). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1491).
+* FEATURE: vmagent: support multitenant writes according to [these docs](https://docs.victoriametrics.com/vmagent/#multitenancy). This allows using a single `vmagent` instance in front of VictoriaMetrics cluster for all the tenants. Thanks to @omarghader for [the pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1505). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1491).
 * FEATURE: vmagent: add `__meta_ec2_availability_zone_id` label to discovered Amazon EC2 targets. This label is available in Prometheus [starting from v2.29](https://github.com/prometheus/prometheus/releases/tag/v2.29.0).
 * FAETURE: vmagent: add `__meta_gce_interface_ipv4_<name>` labels to discovered GCE targets. These labels are available in Prometheus [starting from v2.29](https://github.com/prometheus/prometheus/releases/tag/v2.29.0).
 * FEATURE: add `-search.maxSamplesPerSeries` command-line flag for limiting the number of raw samples a single query can process per each time series. This option can protect from out of memory errors when a query processes tens of millions of raw samples per series. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1067).
@@ -268,8 +268,8 @@ Released at 2021-07-15
 * FEATURE: vmselect: embed [vmui](https://github.com/VictoriaMetrics/vmui) into a single-node VictoriaMetrics and into `vmselect` component of cluster version. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1413). The web interface is available at the following paths:
   * `/vmui/` for a single-node VictoriaMetrics
   * `/select/<accountID>/vmui/` for `vmselect` at cluster version of VictoriaMetrics
-* FEATURE: support durations anywhere in [MetricsQL queries](https://docs.victoriametrics.com/MetricsQL.html). For example, `sum_over_time(m[1h]) / 1h` is a valid query, which is equivalent to `sum_over_time(m[1h]) / 3600`.
-* FEATURE: support durations without suffixes in [MetricsQL queries](https://docs.victoriametrics.com/MetricsQL.html). For example, `rate(m[3600])` is a valid query, which is equivalent to `rate(m[1h])`.
+* FEATURE: support durations anywhere in [MetricsQL queries](https://docs.victoriametrics.com/metricsql/). For example, `sum_over_time(m[1h]) / 1h` is a valid query, which is equivalent to `sum_over_time(m[1h]) / 3600`.
+* FEATURE: support durations without suffixes in [MetricsQL queries](https://docs.victoriametrics.com/metricsql/). For example, `rate(m[3600])` is a valid query, which is equivalent to `rate(m[1h])`.
 * FEATURE: export `vmselect_request_duration_seconds` and `vminsert_request_duration_seconds` [VictoriaMetrics histograms](https://valyala.medium.com/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350) at `/metrics` page. These histograms can be used for determining latency distribution and SLI/SLO for the served requests. For example, the following query would return the percent of queries that took less than 500ms during the last hour: `histogram_share(500ms, sum(rate(vmselect_request_duration_seconds_bucket[1h])) by (vmrange))`.
 * FEATURE: vmagent: dynamically reload client TLS certificates from disk on every [mTLS connection](https://developers.cloudflare.com/cloudflare-one/identity/devices/mutual-tls-authentication). This should allow using `vmagent` with [Istio service mesh](https://istio.io/latest/about/service-mesh/). See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1420).
 * FEATURE: log http request path plus all the query args on errors during request processing. Previously only http request path was logged without query args, so it could be hard debugging such errors.
@@ -285,15 +285,15 @@ Released at 2021-07-15
 
 Released at 2021-06-25
 
-* FEATURE: vmagent: add service discovery for Docker (aka [docker_sd_config](https://docs.victoriametrics.com/sd_configs.html#docker_sd_configs)). See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1402).
-* FEATURE: vmagent: add service discovery for DigitalOcean (aka [digitalocean_sd_config](https://docs.victoriametrics.com/sd_configs.html#digitalocean_sd_configs)). See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1367).
+* FEATURE: vmagent: add service discovery for Docker (aka [docker_sd_config](https://docs.victoriametrics.com/sd_configs/#docker_sd_configs)). See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1402).
+* FEATURE: vmagent: add service discovery for DigitalOcean (aka [digitalocean_sd_config](https://docs.victoriametrics.com/sd_configs/#digitalocean_sd_configs)). See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1367).
 * FEATURE: vmagent: change the default value for `-remoteWrite.queues` from 4 to `2 * numCPUs`. This should reduce scrape duration for highly loaded vmagent, which scrapes tens of thousands of targets. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1385).
 * FEATURE: vmagent: show the number of samples the target returns during the last scrape on `/targets` and `/api/v1/targets` pages. This should simplify debugging targets, which may return too big or too low number of samples. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1377).
 * FEATURE: vmagent: show jobs with zero discovered targets on `/targets` page. This should help debugging improperly configured scrape configs.
-* FEATURE: vmagent: support for http-based service discovery (aka [http_sd_config](https://docs.victoriametrics.com/sd_configs.html#http_sd_configs)), which has been added since Prometheus 2.28. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1392).
+* FEATURE: vmagent: support for http-based service discovery (aka [http_sd_config](https://docs.victoriametrics.com/sd_configs/#http_sd_configs)), which has been added since Prometheus 2.28. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1392).
 * FEATURE: vmagent: support namespace in Consul serive discovery in the same way as Prometheus 2.28 does. See [this issue](https://github.com/prometheus/prometheus/issues/8894) for details.
 * FEATURE: vmagent: support generic auth configs in `consul_sd_configs` in the same way as Prometheus 2.28 does. See [this issue](https://github.com/prometheus/prometheus/issues/8924) for details.
-* FEATURE: [vmctl](https://docs.victoriametrics.com/vmctl.html): limit the number of samples per each imported JSON line. This should limit the memory usage at VictoriaMetrics side when importing time series with big number of samples.
+* FEATURE: [vmctl](https://docs.victoriametrics.com/vmctl/): limit the number of samples per each imported JSON line. This should limit the memory usage at VictoriaMetrics side when importing time series with big number of samples.
 * FEATURE: vmselect: log slow queries across all the `/api/v1/*` handlers (aka [Prometheus query API](https://prometheus.io/docs/prometheus/latest/querying/api)) if their execution duration exceeds `-search.logSlowQueryDuration`. This should simplify debugging slow requests to such handlers as `/api/v1/labels` or `/api/v1/series` additionally to `/api/v1/query` and `/api/v1/query_range`, which were logged in the previous releases.
 * FEATURE: vminsert: sort the `-storageNode` list in order to guarantee the identical `series -> vmstorage` mapping across all the `vminsert` nodes. This should reduce resource usage (RAM, CPU and disk IO) at `vmstorage` nodes if `vmstorage` addresses are passed in random order to `vminsert` nodes.
 * FEATURE: vmstorage: reduce memory usage on a system with many CPU cores under high ingestion rate.
@@ -301,8 +301,8 @@ Released at 2021-06-25
 * BUGFIX: prevent from adding new samples to deleted time series after the rotation of the inverted index (the rotation is performed once per `-retentionPeriod`). See [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1347#issuecomment-861232136) for details.
 * BUGFIX: vmstorage: reduce high disk write IO usage on systems with big number of CPU cores. The issue has been introduced in the release [v1.59.0](#v1590). See [this commit](https://github.com/VictoriaMetrics/VictoriaMetrics/commit/aa9b56a046b6ae8083fa659df35dd5e994bf9115) and [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1338#issuecomment-863046999) for details.
 * BUGFIX: vmstorage: prevent from incorrect stats collection when multiple concurrent queries execute the same tag filter. This may help reducing CPU usage under certain workloads. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1338).
-* BUGFIX: vmselect: return the last timestamp for the max / min value from `tmax_over_time(m[d])` and `tmin_over_time(m[d])` [MetricsQL functions](https://docs.victoriametrics.com/MetricsQL.html) as most users expect. See also [this issue](https://github.com/prometheus/prometheus/issues/8966).
-* BUGFIX: vmselect: return the expected value for `increase_pure()` [MetricsQL function](https://docs.victoriametrics.com/MetricsQL.html) after a gap in a time series. Previously incorrect too big value could be returned after the gap from `increase_pure()`.
+* BUGFIX: vmselect: return the last timestamp for the max / min value from `tmax_over_time(m[d])` and `tmin_over_time(m[d])` [MetricsQL functions](https://docs.victoriametrics.com/metricsql/) as most users expect. See also [this issue](https://github.com/prometheus/prometheus/issues/8966).
+* BUGFIX: vmselect: return the expected value for `increase_pure()` [MetricsQL function](https://docs.victoriametrics.com/metricsql/) after a gap in a time series. Previously incorrect too big value could be returned after the gap from `increase_pure()`.
 
 ## [v1.61.1](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.61.1)
 
@@ -315,14 +315,14 @@ Released at 2021-06-11
 
 Released at 2021-06-09
 
-* FEATURE: vmalert: add support for backfilling (aka replay) of recording and alerting rules. See [these docs](https://docs.victoriametrics.com/vmalert.html#rules-backfilling) and [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/836).
+* FEATURE: vmalert: add support for backfilling (aka replay) of recording and alerting rules. See [these docs](https://docs.victoriametrics.com/vmalert/#rules-backfilling) and [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/836).
 * FEATURE: vmalert: add a command-line flag `-rule.configCheckInterval` for automatic re-reading of `-rule` files without the need to send SIGHUP signal. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/512).
-* FEATURE: vmagent: respect the `sample_limit` and `-promscrape.maxScrapeSize` values when scraping targets in [stream parsing mode](https://docs.victoriametrics.com/vmagent.html#stream-parsing-mode). See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1331).
-* FEATURE: vmauth: add ability to specify mutliple `url_prefix` entries for balancing the load among multiple `vmselect` and/or `vminsert` nodes in a cluster. See [these docs](https://docs.victoriametrics.com/vmauth.html#load-balancing).
+* FEATURE: vmagent: respect the `sample_limit` and `-promscrape.maxScrapeSize` values when scraping targets in [stream parsing mode](https://docs.victoriametrics.com/vmagent/#stream-parsing-mode). See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1331).
+* FEATURE: vmauth: add ability to specify mutliple `url_prefix` entries for balancing the load among multiple `vmselect` and/or `vminsert` nodes in a cluster. See [these docs](https://docs.victoriametrics.com/vmauth/#load-balancing).
 * FEATURE: vminsert: add `-disableRerouting` command-line flag for forcibly disabling the rerouting. This should help resolving [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/791) and [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1054) issues.
 * FEATURE: vminsert: reduce the probability of global re-routing storm if all the vmstorage nodes cannot keep up with the given ingestion rate for some time. This should improve cluster stability in such cases. See [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/791) and [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1054) issues.
 * FEATURE: allow building VictoriaMetrics components for Solaris / SmartOS. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1322).
-* FEATURE: vmagent: add ability to debug relabeling rules. See [these docs](https://docs.victoriametrics.com/vmagent.html#relabeling) and [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1343).
+* FEATURE: vmagent: add ability to debug relabeling rules. See [these docs](https://docs.victoriametrics.com/vmagent/#relabeling) and [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1343).
 
 * BUGFIX: reduce CPU usage by up to 2x during querying a database with big number of active daily time series. The issue has been introduced in `v1.59.0`.
 * BUGFIX: vmagent: properly apply auth and tls configs in `eureka_sd_configs`. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1350).
@@ -334,21 +334,21 @@ Released at 2021-06-09
 Released at 2021-05-24
 
 * FEATURE: add ability to limit the number of unique time series, which can be added to storage per hour and per day. This can help dealing with high cardinality and high churn rate issues. See [these docs](https://docs.victoriametrics.com/#cardinality-limiter).
-* FEATURE: vmagent: add ability to limit the number of unique time series, which can be sent to remote storage systems per hour and per day. This can help dealing with high cardinality and high churn rate issues. See [these docs](https://docs.victoriametrics.com/vmagent.html#cardinality-limiter).
-* FEATURE: vmalert: add ability to run alerting and recording rules for multiple tenants. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/740) and [these docs](https://docs.victoriametrics.com/vmalert.html#multitenancy).
-* FEATURE: vminsert: add support for data ingestion via other `vminsert` nodes. This allows building multi-level data ingestion paths in VictoriaMetrics cluster by writing data from one level of `vminsert` nodes to another level of `vminsert` nodes. See [these docs](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#multi-level-cluster-setup) and [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/541#issuecomment-835487858) for details.
+* FEATURE: vmagent: add ability to limit the number of unique time series, which can be sent to remote storage systems per hour and per day. This can help dealing with high cardinality and high churn rate issues. See [these docs](https://docs.victoriametrics.com/vmagent/#cardinality-limiter).
+* FEATURE: vmalert: add ability to run alerting and recording rules for multiple tenants. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/740) and [these docs](https://docs.victoriametrics.com/vmalert/#multitenancy).
+* FEATURE: vminsert: add support for data ingestion via other `vminsert` nodes. This allows building multi-level data ingestion paths in VictoriaMetrics cluster by writing data from one level of `vminsert` nodes to another level of `vminsert` nodes. See [these docs](https://docs.victoriametrics.com/cluster-victoriametrics/#multi-level-cluster-setup) and [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/541#issuecomment-835487858) for details.
 * FEATURE: vmagent: reload `bearer_token_file`, `credentials_file` and `password_file` contents every second. This allows dynamically changing the contents of these files during target scraping and service discovery without the need to restart `vmagent`. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1297).
 * FEATURE: vmalert: add a flag to control behaviour on startup for state restore errors. Such errors were returned and logged before as well. Now user can specify whether to just log these errors (`-remoteRead.ignoreRestoreErrors=true`) or to stop the process (`-remoteRead.ignoreRestoreErrors=false`). The latter is important when VM isn't ready yet to serve queries from vmalert and it needs to wait. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1252).
 * FEATURE: vmalert: add ability to pass `round_digits` query arg to datasource via `-datasource.roundDigits` command-line flag. This can be used for limiting the number of decimal digits after the point in recording rule results. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/525).
 * FEATURE: return `X-Server-Hostname` header in http responses of all the VictoriaMetrics components. This should simplify tracing the origin server behind a load balancer or behind auth proxy during troubleshooting.
-* FEATURE: vmselect: allow to use 2x more memory for query processing at `vmselect` nodes in [VictoriaMetrics cluster](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html). This should allow processing heavy queries without the need to increase RAM size at `vmselect` nodes.
+* FEATURE: vmselect: allow to use 2x more memory for query processing at `vmselect` nodes in [VictoriaMetrics cluster](https://docs.victoriametrics.com/cluster-victoriametrics/). This should allow processing heavy queries without the need to increase RAM size at `vmselect` nodes.
 * FEATURE: add ability to filter `/api/v1/status/tsdb` output with arbitrary [time series selectors](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors) passed via `match[]` query args. See [these docs](https://docs.victoriametrics.com/#tsdb-stats) and [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1168) for details.
 * FEATURE: automatically detect memory and cpu limits for VictoriaMetrics components running under [cgroup v2](https://www.kernel.org/doc/html/latest/admin-guide/cgroup-v2.html) environments such as [HashiCorp Nomad](https://www.nomadproject.io/). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1269).
 * FEATURE: vmauth: allow `-auth.config` reloading via `/-/reload` http endpoint. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1194).
-* FEATURE: add `timezone_offset(tz)` function. It returns offset in seconds for the given timezone `tz` relative to UTC. This can be useful when combining with datetime-related functions. For example, `day_of_week(time()+timezone_offset("America/Los_Angeles"))` would return weekdays for `America/Los_Angeles` time zone. Special `Local` time zone can be used for returning an offset for the time zone set on the host where VictoriaMetrics runs. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1306) and [MetricsQL docs](https://docs.victoriametrics.com/MetricsQL.html) for more details.
+* FEATURE: add `timezone_offset(tz)` function. It returns offset in seconds for the given timezone `tz` relative to UTC. This can be useful when combining with datetime-related functions. For example, `day_of_week(time()+timezone_offset("America/Los_Angeles"))` would return weekdays for `America/Los_Angeles` time zone. Special `Local` time zone can be used for returning an offset for the time zone set on the host where VictoriaMetrics runs. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1306) and [MetricsQL docs](https://docs.victoriametrics.com/metricsql/) for more details.
 * FEATURE: vmagent: add support for OAuth2 authorization for scrape targets and service discovery in the same way as Prometheus does. See [these docs](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#oauth2).
 * FEATURE: vmagent: add support for OAuth2 authorization when writing data to `-remoteWrite.url`. See `-remoteWrite.oauth2.*` config params in `/path/to/vmagent -help` output.
-* FEATURE: vmalert: add ability to set `extra_filter_labels` at alerting and recording group configs. See [these docs](https://docs.victoriametrics.com/vmalert.html#groups).
+* FEATURE: vmalert: add ability to set `extra_filter_labels` at alerting and recording group configs. See [these docs](https://docs.victoriametrics.com/vmalert/#groups).
 * FEATURE: vmstorage: reduce memory usage by up to 30% when ingesting big number of active time series.
 
 * BUGFIX: vmagent: do not retry scraping targets, which don't support HTTP. This should reduce CPU load and network usage at `vmagent` and at scrape target. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1289).
@@ -371,7 +371,7 @@ Released at 2021-05-01
 
 * FEATURE: improved new time series registration speed on systems with many CPU cores. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1244). Thanks to @waldoweng for the idea and [draft implementation](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1243).
 * FEATURE: vmalert: use the same technique as Grafana for determining evaluation timestamps for recording rules. This should make consistent graphs for series generated by recording rules compared to graphs generated for queries from recording rules in Grafana. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1232).
-* FEATURE: vmauth: add ability to set madatory query args in `url_prefix`. For example, `url_prefix: http://vm:8428/?extra_label=team=dev` would add `extra_label=team=dev` query arg to all the incoming requests. See [the example](https://docs.victoriametrics.com/vmauth.html#auth-config) for more details.
+* FEATURE: vmauth: add ability to set madatory query args in `url_prefix`. For example, `url_prefix: http://vm:8428/?extra_label=team=dev` would add `extra_label=team=dev` query arg to all the incoming requests. See [the example](https://docs.victoriametrics.com/vmauth/#auth-config) for more details.
 * FEATURE: vmctl: add OpenTSDB migration option. See more details [here](https://docs.victoriametrics.com/vmctl#migrating-data-from-opentsdb).
 Thanks to @johnseekins!
 * FEATURE: log metrics with dropped labels if the number of labels in the ingested metric exceeds `-maxLabelsPerTimeseries`. This should simplify debugging for this case.
@@ -387,8 +387,8 @@ Thanks to @johnseekins!
 Released at 2021-04-08
 
 * FEATURE: vminsert and vmagent: add `-sortLabels` command-line flag for sorting metric labels before pushing them to `vmstorage`. This should reduce the size of `MetricName -> internal_series_id` cache (aka `vm_cache_size_bytes{type="storage/tsid"}`) when ingesting samples for the same time series with distinct order of labels. For example, `foo{k1="v1",k2="v2"}` and `foo{k2="v2",k1="v1"}` represent a single time series. Labels sorting is disabled by default, since the majority of established exporters preserve the order of labels for the exported metrics.
-* FEATURE: allow specifying label value alongside label name for the `others sum` time series returned from `topk_*` and `bottomk_*` functions from [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html). For example, `topk_avg(3, max(process_resident_memory_bytes) by (instance), "instance=other_sum")` would return top 3 series from `max(process_resident_memory_bytes) by (instance)` plus a series containing the sum of other series. The `others sum` series will have `{instance="other_sum"}` label.
-* FEATURE: do not delete `dst_label` when applying `label_copy(q, "src_label", "dst_label")` and `label_move(q, "src_label", "dst_label")` to series without `src_label` and with non-empty `dst_label`. See more details at [MetricsQL docs](https://docs.victoriametrics.com/MetricsQL.html).
+* FEATURE: allow specifying label value alongside label name for the `others sum` time series returned from `topk_*` and `bottomk_*` functions from [MetricsQL](https://docs.victoriametrics.com/metricsql/). For example, `topk_avg(3, max(process_resident_memory_bytes) by (instance), "instance=other_sum")` would return top 3 series from `max(process_resident_memory_bytes) by (instance)` plus a series containing the sum of other series. The `others sum` series will have `{instance="other_sum"}` label.
+* FEATURE: do not delete `dst_label` when applying `label_copy(q, "src_label", "dst_label")` and `label_move(q, "src_label", "dst_label")` to series without `src_label` and with non-empty `dst_label`. See more details at [MetricsQL docs](https://docs.victoriametrics.com/metricsql/).
 * FEATURE: update Go builder from `v1.16.2` to `v1.16.3`. This should fix [these issues](https://github.com/golang/go/issues?q=milestone%3AGo1.16.3+label%3ACherryPickApproved).
 * FEATURE: vmagent: add support for `follow_redirects` option to `scrape_configs` section in the same way as [Prometheus 2.26 does](https://github.com/prometheus/prometheus/pull/8546).
 * FEATURE: vmagent: add support for `authorization` section in `-promscrape.config` in the same way as [Prometheus 2.26 does](https://github.com/prometheus/prometheus/pull/8512).
@@ -399,11 +399,11 @@ Released at 2021-04-08
 * FEATURE: vmagent: add support for `proxy_tls_config`, `proxy_authorization`, `proxy_basic_auth`, `proxy_bearer_token` and `proxy_bearer_token_file` options in `consul_sd_config`, `dockerswarm_sd_config` and `eureka_sd_config` sections.
 * FEATURE: vmagent: pass `X-Prometheus-Scrape-Timeout-Seconds` header to scrape targets as Prometheus does. In this case scrape targets can limit the time needed for performing the scrape. See [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1179#issuecomment-813118733) for details.
 * FEATURE: vmagent: drop corrupted persistent queue files at `-remoteWrite.tmpDataPath` instead of throwing a fatal error. Corrupted files can appear after unclean shutdown of `vmagent` such as OOM kill or hardware reset. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1030).
-* FEATURE: vmauth: add support for authorization via [bearer token](https://swagger.io/docs/specification/authentication/bearer-authentication/). See [the docs](https://docs.victoriametrics.com/vmauth.html#auth-config) for details.
+* FEATURE: vmauth: add support for authorization via [bearer token](https://swagger.io/docs/specification/authentication/bearer-authentication/). See [the docs](https://docs.victoriametrics.com/vmauth/#auth-config) for details.
 * FEATURE: publish `arm64` and `amd64` binaries for cluster version of VictoriaMetrics at [releases page](https://github.com/VictoriaMetrics/VictoriaMetrics/releases).
 
 * BUGFIX: properly handle `/api/v1/labels` and `/api/v1/label/<label_name>/values` queries on big `start ... end` time range. This should fix big resource usage when VictoriaMetrics is queried with [Promxy](https://github.com/jacksontj/promxy) v0.0.62 or newer versions.
-* BUGFIX: do not break sort order for series returned from `topk*`, `bottomk*` and `outliersk` [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html) functions. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1189).
+* BUGFIX: do not break sort order for series returned from `topk*`, `bottomk*` and `outliersk` [MetricsQL](https://docs.victoriametrics.com/metricsql/) functions. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1189).
 * BUGFIX: vmagent: properly work with simple HTTP proxies which don't support `CONNECT` method. For example, [PushProx](https://github.com/prometheus-community/PushProx). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1179).
 * BUGFIX: vmagent: properly discover targets if multiple namespace selectors are put inside `kubernetes_sd_config`. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1170).
 * BUGFIX: vmagent: properly discover `role: endpoints` and `role: endpointslices` targets in `kubernetes_sd_config`. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1182).
@@ -447,20 +447,20 @@ Released at 2021-03-29
 
 Released at 2021-03-17
 
-* FEATURE: add the following functions to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html):
+* FEATURE: add the following functions to [MetricsQL](https://docs.victoriametrics.com/metricsql/):
   * `histogram_avg(buckets)` - returns the average value for the given buckets.
   * `histogram_stdvar(buckets)` - returns standard variance for the given buckets.
   * `histogram_stddev(buckets)` - returns standard deviation for the given buckets.
 * FEATURE: export `vm_available_memory_bytes` and `vm_available_cpu_cores` metrics, which show the number of available RAM and available CPU cores for VictoriaMetrics apps.
 * FEATURE: export `vm_index_search_duration_seconds` histogram, which can be used for troubleshooting time series search performance.
-* FEATURE: vmagent: add ability to replicate scrape targets among `vmagent` instances in the cluster with `-promscrape.cluster.replicationFactor` command-line flag. See [these docs](https://docs.victoriametrics.com/vmagent.html#scraping-big-number-of-targets).
-* FEATURE: vmagent: accept `scrape_offset` option at `scrape_config`. This option may be useful when scrapes must start at the specified offset of every scrape interval. See [these docs](https://docs.victoriametrics.com/vmagent.html#troubleshooting) for details.
-* FEATURE: vmagent: support `proxy_tls_config`, `proxy_basic_auth`, `proxy_bearer_token` and `proxy_bearer_token_file` options at `scrape_config` section for configuring proxies specified via `proxy_url`. See [these docs](https://docs.victoriametrics.com/vmagent.html#scraping-targets-via-a-proxy).
+* FEATURE: vmagent: add ability to replicate scrape targets among `vmagent` instances in the cluster with `-promscrape.cluster.replicationFactor` command-line flag. See [these docs](https://docs.victoriametrics.com/vmagent/#scraping-big-number-of-targets).
+* FEATURE: vmagent: accept `scrape_offset` option at `scrape_config`. This option may be useful when scrapes must start at the specified offset of every scrape interval. See [these docs](https://docs.victoriametrics.com/vmagent/#troubleshooting) for details.
+* FEATURE: vmagent: support `proxy_tls_config`, `proxy_basic_auth`, `proxy_bearer_token` and `proxy_bearer_token_file` options at `scrape_config` section for configuring proxies specified via `proxy_url`. See [these docs](https://docs.victoriametrics.com/vmagent/#scraping-targets-via-a-proxy).
 * FEATURE: vmauth: allow using regexp paths in `url_map`. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1112) for details.
 * FEATURE: accept `round_digits` query arg at `/api/v1/query` and `/api/v1/query_range` handlers. This option can be set at Prometheus datasource in Grafana for limiting the number of digits after the decimal point in response values.
 * FEATURE: add `-influx.databaseNames` command-line flag, which can be used for accepting data from some Telegraf plugins such as [fluentd plugin](https://github.com/fangli/fluent-plugin-influxdb). See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1124).
 * FEATURE: add `-logNewSeries` command-line flag, which can be used for debugging the source of time series churn rate.
-* FEATURE: publish Windows builds for [vmagent](https://docs.victoriametrics.com/vmagent.html), [vmalert](https://docs.victoriametrics.com/vmalert.html), [vmauth](https://docs.victoriametrics.com/vmauth.html) and [vmctl](https://docs.victoriametrics.com/vmctl.html) at `vmutils-windows-*.zip` archives at [releases page](https://github.com/VictoriaMetrics/VictoriaMetrics/releases).
+* FEATURE: publish Windows builds for [vmagent](https://docs.victoriametrics.com/vmagent/), [vmalert](https://docs.victoriametrics.com/vmalert/), [vmauth](https://docs.victoriametrics.com/vmauth/) and [vmctl](https://docs.victoriametrics.com/vmctl/) at `vmutils-windows-*.zip` archives at [releases page](https://github.com/VictoriaMetrics/VictoriaMetrics/releases).
 * FEATURE: listen for IPv6 UDP if `-enableTCP6` command-line flag is passed to VictoriaMetrics. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1131).
 
 * BUGFIX: vmagent: prevent from high CPU usage bug during failing scrapes with small `scrape_timeout` (less than a few seconds).
@@ -484,8 +484,8 @@ Released at 2021-03-03
 
 Released at 2021-03-02
 
-* FEATURE: add `sign(q)` and `clamp(q, min, max)` functions, which are planned to be added in [the upcoming Prometheus release](https://twitter.com/roidelapluie/status/1363428376162295811) . The `last_over_time(m[d])` function is already supported in [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html).
-* FEATURE: vmagent: add `scrape_align_interval` config option, which can be used for aligning scrapes to the beginning of the configured interval. See [these docs](https://docs.victoriametrics.com/vmagent.html#troubleshooting) for details.
+* FEATURE: add `sign(q)` and `clamp(q, min, max)` functions, which are planned to be added in [the upcoming Prometheus release](https://twitter.com/roidelapluie/status/1363428376162295811) . The `last_over_time(m[d])` function is already supported in [MetricsQL](https://docs.victoriametrics.com/metricsql/).
+* FEATURE: vmagent: add `scrape_align_interval` config option, which can be used for aligning scrapes to the beginning of the configured interval. See [these docs](https://docs.victoriametrics.com/vmagent/#troubleshooting) for details.
 * FEATURE: expose io-related metrics at `/metrics` page for every VictoriaMetrics component:
   * `process_io_read_bytes_total` - the number of bytes read via io syscalls such as read and pread
   * `process_io_written_bytes_total` - the number of bytes written via io syscalls such as write and pwrite
@@ -493,12 +493,12 @@ Released at 2021-03-02
   * `process_io_write_syscalls_total` - the number of write syscalls such as write and pwrite
   * `process_io_storage_read_bytes_total` - the number of bytes read from storage layer
   * `process_io_storage_written_bytes_total` - the number of bytes written to storage layer
-* FEATURE: vmagent: add ability to spread scrape targets among multiple `vmagent` instances. See [these docs](https://docs.victoriametrics.com/vmagent.html#scraping-big-number-of-targets) and [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1084) for details.
+* FEATURE: vmagent: add ability to spread scrape targets among multiple `vmagent` instances. See [these docs](https://docs.victoriametrics.com/vmagent/#scraping-big-number-of-targets) and [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1084) for details.
 * FEATURE: vmagent: use watch API for Kubernetes service discovery. This should reduce load on Kubernetes API server when it tracks big number of objects (for example, 10K pods). This should also reduce the time needed for k8s targets discovery. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1057) for details.
 * FEATURE: vmagent: export `vm_promscrape_target_relabel_duration_seconds` metric, which can be used for monitoring the time spend on relabeling for discovered targets.
-* FEATURE: vmagent: optimize [relabeling](https://docs.victoriametrics.com/vmagent.html#relabeling) performance for common cases.
+* FEATURE: vmagent: optimize [relabeling](https://docs.victoriametrics.com/vmagent/#relabeling) performance for common cases.
 * FEATURE: add `increase_pure(m[d])` function to MetricsQL. It works the same as `increase(m[d])` except of various edge cases. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/962) for details.
-* FEATURE: increase accuracy for `buckets_limit(limit, buckets)` results for small `limit` values. See [MetricsQL docs](https://docs.victoriametrics.com/MetricsQL.html) for details.
+* FEATURE: increase accuracy for `buckets_limit(limit, buckets)` results for small `limit` values. See [MetricsQL docs](https://docs.victoriametrics.com/metricsql/) for details.
 * FEATURE: vmagent: initial support for Windows build with `CGO_ENABLED=0 GOOS=windows go build ./app/vmagent`. See [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/70) and [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1036).
 * FEATURE: vmagent: support WebIdentityToken auth in EC2 service discovery. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1080) for details.
 * FEATURE: vmalert: properly process query params in `-datasource.url` and `-remoteRead.url` command-line flags. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1087) for details.
@@ -529,9 +529,9 @@ Released at 2021-02-18
 * FEATURE: optimize searching for matching metrics for `metric{<label_filters>}` queries if `<label_filters>` contains at least a single filter. For example, the query `up{job="foobar"}` should find the matching time series much faster than previously.
 * FEATURE: reduce execution times for `q1 <binary_op> q2` queries by executing `q1` and `q2` in parallel.
 * FEATURE: switch from Go1.15 to [Go1.16](https://golang.org/doc/go1.16) for building prod binaries.
-* FEATURE: single-node VictoriaMetrics now accepts requests to handlers with `/prometheus` and `/graphite` prefixes such as `/prometheus/api/v1/query`. This improves compatibility with [handlers from VictoriaMetrics cluster](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#url-format).
+* FEATURE: single-node VictoriaMetrics now accepts requests to handlers with `/prometheus` and `/graphite` prefixes such as `/prometheus/api/v1/query`. This improves compatibility with [handlers from VictoriaMetrics cluster](https://docs.victoriametrics.com/cluster-victoriametrics/#url-format).
 * FEATURE: expose `process_open_fds` and `process_max_fds` metrics. These metrics can be used for alerting when `process_open_fds` reaches `process_max_fds`. See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/402> and <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1037>
-* FEATURE: vmalert: add `-datasource.appendTypePrefix` command-line option for querying both Prometheus and Graphite datasource in cluster version of VictoriaMetrics. See [these docs](https://docs.victoriametrics.com/vmalert.html#graphite) for details.
+* FEATURE: vmalert: add `-datasource.appendTypePrefix` command-line option for querying both Prometheus and Graphite datasource in cluster version of VictoriaMetrics. See [these docs](https://docs.victoriametrics.com/vmalert/#graphite) for details.
 * FEATURE: vmauth: add ability to route requests from a single user to multiple destinations depending on the requested paths. See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1064>
 * FEATURE: remove dependency on external programs such as `cat`, `grep` and `cut` when detecting cpu and memory limits inside Docker or LXC container.
 * FEATURE: vmagent: add `__meta_kubernetes_endpoints_label_*`, `__meta_kubernetes_endpoints_labelpresent_*`, `__meta_kubernetes_endpoints_annotation_*` and `__meta_kubernetes_endpoints_annotationpresent_*` labels for `role: endpoints` in Kubernetes service discovery. These labels where added in Prometheus 2.25.
@@ -554,14 +554,14 @@ Released at 2021-02-03
 
 Released at 2021-02-03
 
-* FEATURE: added [vmctl tool](https://docs.victoriametrics.com/vmctl.html) to VictoriaMetrics release process. Now it is packaged in `vmutils-*.tar.gz` archive on [the releases page](https://github.com/VictoriaMetrics/VictoriaMetrics/releases). Source code for `vmctl` tool has been moved from [github.com/VictoriaMetrics/vmctl](https://github.com/VictoriaMetrics/vmctl) to [github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/app/vmctl).
+* FEATURE: added [vmctl tool](https://docs.victoriametrics.com/vmctl/) to VictoriaMetrics release process. Now it is packaged in `vmutils-*.tar.gz` archive on [the releases page](https://github.com/VictoriaMetrics/VictoriaMetrics/releases). Source code for `vmctl` tool has been moved from [github.com/VictoriaMetrics/vmctl](https://github.com/VictoriaMetrics/vmctl) to [github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/app/vmctl).
 * FEATURE: added `-loggerTimezone` command-line flag for adjusting time zone for timestamps in log messages. By default UTC is used.
 * FEATURE: added `-search.maxStepForPointsAdjustment` command-line flag, which can be used for disabling adjustment for points returned by `/api/v1/query_range` handler if such points have timestamps closer than `-search.latencyOffset` to the current time. Such points may contain incomplete data, so they are substituted by the previous values for `step` query args smaller than one minute by default.
 * FEATURE: vmselect: added ability to use Graphite-compatible filters in MetricsQL via `{__graphite__="foo.*.bar"}` syntax. This expression is equivalent to `{__name__=~"foo[.][^.]*[.]bar"}`, but it works faster and it is easier to use when migrating from Graphite to VictoriaMetrics. This feature deprecates the usage of `-search.treatDotsAsIsInRegexps` command-line flag.
 * FEATURE: vmselect: added ability to set additional label filters, which must be applied during queries. Such label filters can be set via optional `extra_label` query arg, which is accepted by [querying API](https://docs.victoriametrics.com/#prometheus-querying-api-usage) handlers. For example, the request to `/api/v1/query_range?extra_label=tenant_id=123&query=<query>` adds `{tenant_id="123"}` label filter to the given `<query>`. It is expected that the `extra_label` query arg is automatically set by auth proxy sitting
 in front of VictoriaMetrics. [Contact us](mailto:sales@victoriametrics.com) if you need assistance with such a proxy. See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1021> .
 * FEATURE: vmalert: added `-datasource.queryStep` command-line flag for passing optional `step` query arg to `/api/v1/query` endpoint. See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1025>
-* FEATURE: vmalert: added ability to query Graphite datasource when evaluating alerting and recording rules. See [these docs](https://docs.victoriametrics.com/vmalert.html#graphite) for details.
+* FEATURE: vmalert: added ability to query Graphite datasource when evaluating alerting and recording rules. See [these docs](https://docs.victoriametrics.com/vmalert/#graphite) for details.
 * FEATURE: vmagent: added `-remoteWrite.roundDigits` command-line option for rounding metric values to the given number of decimal digits after the point before sending the metric to the corresponding `-remoteWrite.url`. This option can be used for improving data compression on the remote storage, because values with lower number of decimal digits can be compressed better than values with bigger number of decimal digits.
 * FEATURE: vmagent: added `-remoteWrite.rateLimit` command-line flag for limiting data transfer rate to `-remoteWrite.url`. This may be useful when big amounts of buffered data is sent after temporarily unavailability of the remote storage. See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1035>
 * FEATURE: vmagent: export the following additional metrics, which may be useful during troubleshooting:
@@ -582,7 +582,7 @@ Released at 2021-01-13
 
 * FEATURE: provide a sample list of alerting rules for VictoriaMetrics components. It is available [here](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/deployment/docker#alerts).
 * FEATURE: disable final merge for data for the previous month at the beginning of new month, since it may result in high disk IO and CPU usage. Final merge can be enabled by setting `-finalMergeDelay` command-line flag to positive duration.
-* FEATURE: add `tfirst_over_time(m[d])` and `tlast_over_time(m[d])` functions to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html) for returning timestamps for the first and the last data point in `m` over `d` duration.
+* FEATURE: add `tfirst_over_time(m[d])` and `tlast_over_time(m[d])` functions to [MetricsQL](https://docs.victoriametrics.com/metricsql/) for returning timestamps for the first and the last data point in `m` over `d` duration.
 * FEATURE: add ability to pass multiple labels to `sort_by_label()` and `sort_by_label_desc()` functions. See <https://github.com/VictoriaMetrics/VictoriaMetrics/issues/992> .
 * FEATURE: enforce at least TLS v1.2 when accepting HTTPS requests if `-tls`, `-tlsCertFile` and `-tlsKeyFile` command-line flags are set, because older TLS protocols such as v1.0 and v1.1 have been deprecated due to security vulnerabilities.
 * FEATURE: support `extra_label` query arg for all HTTP-based [data ingestion protocols](https://docs.victoriametrics.com/#how-to-import-time-series-data). This query arg can be used for specifying extra labels which should be added for the ingested data.
@@ -599,4 +599,4 @@ Released at 2021-01-13
 
 ## Previous releases
 
-See changes for older releases [here](https://docs.victoriametrics.com/CHANGELOG_2020.html).
+See changes for older releases [here](https://docs.victoriametrics.com/changelog_2020/).