Follow-up commit for
211fb08028
Address @f41gh7 review comments:
- Move code from `lib/osinfo` to `lib/appmetrics`.
- Make the logic private.
- Use metrics.WriteGaugeUint64 func.
- Remove registration logic from `app/xxx/main.go`.
- Remove `lib/osinfo` package.
Due to bug introduced at initial datadog-sketches API implementation, `host` label was incorrectly obtained from `Tags` structure. While actually it's present directly at root of protobuf message.
This commit properly attaches `host` label in such case.
Fixes https://github.com/VictoriaMetrics/VictoriaMetrics/issues/10557
Bug was introduced at 5a587f2006, while porting change from cluster branch.
This commit properlyslice `mms
[]metricsmetadata.Row` slice . Previously, every WriteMetadata call triggered a
slice allocation.
This shouldn't significantly impact overall performance, so I haven't
included benchmarks.
Related PR https://github.com/VictoriaMetrics/VictoriaMetrics/pull/10392
Previously VictoriaMetrics: Single-node version used
`http://<victoriametrics-addr>:8428/zabbixconnector/api/v1/history`
resulted in a missing path error. The issue was introduced during changes back-porting from vmagent.
Additionally, the http response was fixed. Zabbix expects a 200 status
code during normal operation.
Related PR https://github.com/VictoriaMetrics/VictoriaMetrics/pull/10214
Commit 5a587f2006 was not properly ported
to the single node branch. Since single node is able to perform both
promscrape and self-scrape, it's required to add metadata add methods to
those paths.
This commit fixes missing metadata add to the storage.
Fixes https://github.com/VictoriaMetrics/VictoriaMetrics/issues/10175
This commits adds storage part and cluster RPC methods for metrics metadata.
Key concepts:
* vmstorage persists metadata in-memory only.
* vmstorage evicts metadata records older than 1 hour.
* vmstorage stores only the last value of metadata for time series
metric name.
* vminsert opens an additional TCP connection to the vmstorage for
metadata write requests.
* vmselect doesn't support `limit_per_metric_name`.
This feature is available optional and must be enabled via flag - `-enableMetadata` provided to vminsert/vmsingle.
Fixes github.com/VictoriaMetrics/VictoriaMetrics/issues/2974
Previously all timeseries pushed into aggregators were added
sequentially. It could cause delays on data ingestion and it was not
possible to use all available.
This commit adds concurrency based on available CPU cores.
Also, it adds new generic Buffer and BufferPool into slicesutil.
Fixes https://github.com/VictoriaMetrics/VictoriaMetrics/issues/9878
The commit
25cd5637bc
introduced the `-enableMetadata` flag and the
`promscrape.IsMetadataEnabled()` function, which is now used in multiple
places, including the `app/vminsert/prometheusimport` [request
handler](b24b76ff08/app/vminsert/prometheusimport/request_handler.go (L36)).
Because of the use of `promscrape` package vminsert registered all
`-promscrape.*` service discovery flags, which were not relevant for
`vminsert`.
This change moves the metadata flag logic into a dedicated package,
preventing vminsert from unintentionally loading unrelated promscrape
flags.
Related PR https://github.com/VictoriaMetrics/VictoriaMetrics/pull/9631
The prompb and prompbmarshal share exactly the same models and provide
marshal and unmarshale capabilities for them. This creates duplication
(changes in one model has to be made in another, case with metadata) and
confusion where for example you compare same looking models but golang
says they are not the same (because of the type).
This commit merge prompbmarshal logic into prompb so the rest of the
code is aligned on prompb models.
Moves samplesPool and labelsPool to WriteRequestUnmarshaller.
Make WriteRequest struct clean from unmarshal logic.
The benchmark shows no significant changes:
$benchstat prompbmarshal.bench prompb2.bench
goos: darwin
goarch: arm64
pkg: github.com/VictoriaMetrics/VictoriaMetrics/lib/prompb
cpu: Apple M1 Pro
│ prompbmarshal.bench │ prompb2.bench │
│ sec/op │ sec/op vs base │
WriteRequestUnmarshalProtobuf-10 189.2µ ± 5% 190.8µ ± 8% ~ (p=0.579 n=10)
WriteRequestMarshalProtobuf-10 145.3µ ± 7% 143.6µ ± 2% ~ (p=0.143 n=10)
geomean 165.8µ 165.5µ -0.14%
│ prompbmarshal.bench │ prompb2.bench │
│ B/s │ B/s vs base │
WriteRequestUnmarshalProtobuf-10 50.42Mi ± 5% 49.99Mi ± 8% ~ (p=0.593 n=10)
WriteRequestMarshalProtobuf-10 65.64Mi ± 7% 66.39Mi ± 2% ~ (p=0.143 n=10)
geomean 57.53Mi 57.61Mi +0.14%
│ prompbmarshal.bench │ prompb2.bench │
│ B/op │ B/op vs base │
WriteRequestUnmarshalProtobuf-10 27.70Ki ± 4% 26.90Ki ± 7% ~ (p=0.190 n=10)
WriteRequestMarshalProtobuf-10 3.267Ki ± 12% 3.273Ki ± 12% ~ (p=0.971 n=10)
geomean 9.514Ki 9.383Ki -1.38%
│ prompbmarshal.bench │ prompb2.bench │
│ allocs/op │ allocs/op vs base │
WriteRequestUnmarshalProtobuf-10 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
WriteRequestMarshalProtobuf-10 0.000 ± 0% 0.000 ± 0% ~ (p=1.000 n=10) ¹
geomean ² +0.00% ²
¹ all samples are equal
² summaries must be >0 to compute geomean
Previously `*_last_reload_successful` metrics are set to 1 even when respective
configuration is not defined, besides stream aggregation and scraping.
This commit initializes config reload related metrics only when respective
configuration is set.
Related issue:
https://github.com/VictoriaMetrics/helm-charts/issues/2119
- Properly decode protobuf-encoded Loki request if it has no Content-Encoding header.
Protobuf Loki message is snappy-encoded by default, so snappy decoding must be used
when Content-Encoding header is missing.
- Return back the previous signatures of parseJSONRequest and parseProtobufRequest functions.
This eliminates the churn in tests for these functions. This also fixes broken
benchmarks BenchmarkParseJSONRequest and BenchmarkParseProtobufRequest, which consume
the whole request body on the first iteration and do nothing on subsequent iterations.
- Put the CHANGELOG entries into correct places, since they were incorrectly put into already released
versions of VictoriaMetrics and VictoriaLogs.
- Add support for reading zstd-compressed data ingestion requests into the remaining protocols
at VictoriaLogs and VictoriaMetrics.
- Remove the `encoding` arg from PutUncompressedReader() - it has enough information about
the passed reader arg in order to properly deal with it.
- Add ReadUncompressedData to lib/protoparser/common for reading uncompressed data from the reader until EOF.
This allows removing repeated code across request-based protocol parsers without streaming mode.
- Consistently limit data ingestion request sizes, which can be read by ReadUncompressedData function.
Previously this wasn't the case for all the supported protocols.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/8416
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/8380
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/8300
### Describe Your Changes
By default, stream aggregation and deduplication stores a single state
per each aggregation output result.
The data for each aggregator is flushed independently once per
aggregation interval. But there's no guarantee that
incoming samples with timestamps close to the aggregation interval's end
will get into it. For example, when aggregating
with `interval: 1m` a data sample with timestamp 1739473078 (18:57:59)
can fall into aggregation round `18:58:00` or `18:59:00`.
It depends on network lag, load, clock synchronization, etc. In most
scenarios it doesn't impact aggregation or
deduplication results, which are consistent within margin of error. But
for metrics represented as a collection of series,
like
[histograms](https://docs.victoriametrics.com/keyconcepts/#histogram),
such inaccuracy leads to invalid aggregation results.
For this case, streaming aggregation and deduplication support mode with
aggregation windows for current and previous state. With this mode,
flush doesn't happen immediately but is shifted by a calculated samples
lag that improves correctness for delayed data.
Enabling of this mode has increased resource usage: memory usage is
expected to double as aggregation will store two states
instead of one. However, this significantly improves accuracy of
calculations. Aggregation windows can be enabled via
the following settings:
- `-streamAggr.enableWindows` at [single-node
VictoriaMetrics](https://docs.victoriametrics.com/single-server-victoriametrics/)
and [vmagent](https://docs.victoriametrics.com/vmagent/). At
[vmagent](https://docs.victoriametrics.com/vmagent/)
`-remoteWrite.streamAggr.enableWindows` flag can be specified
individually per each `-remoteWrite.url`.
If one of these flags is set, then all aggregators will be using fixed
windows. In conjunction with `-remoteWrite.streamAggr.dedupInterval` or
`-streamAggr.dedupInterval` fixed aggregation windows are enabled on
deduplicator as well.
- `enable_windows` option in [aggregation
config](https://docs.victoriametrics.com/stream-aggregation/#stream-aggregation-config).
It allows enabling aggregation windows for a specific aggregator.
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
Commit 71bb9fc0d0 introduced a regression.
If labels are empty and relabeling is not configured, influx ingestion hanlder
performed an earlier exit due to TryPrepareLabels call.
Due micro-optimisations for this procotol, this check was not valid.
Since it didn't take in account metircName, which added later and skip metrics line.
This commit removes `TryPrepareLabel` function call from this path and inline it instead.
It properly track empty labels path.
Adds initial tests implementation for data ingestion protocols.
Related issue:
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7933
Signed-off-by: f41gh7 <nik@victoriametrics.com>
Previously, time series with labels exceeding the configured limits were truncated and written to storage, potentially causing data inconsistency. This could lead to collisions between time series and make it difficult to identify the source due to truncated labels.
This commit changes the behavior:
* Such time series are now rejected outright.
* Rejected time series are logged to stdout, and corresponding counters are incremented.
* removes `vm_too_long_label_values_total`, `vm_too_long_label_names_total`, `vm_metrics_with_dropped_labels_total` metrics.
* adds new values `[too_many_labels,too_long_label_name,too_long_label_value]` to `reason` label of the `vm_rows_ignored_total` metric name
related issues:
- https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6928
- https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7661
### Describe Your Changes
doing similar changes for both vmagent and vminsert (like one in
https://github.com/VictoriaMetrics/VictoriaMetrics/pull/7399) ends up
with almost same implementations for each of packages instead of having
this shared code in one place. one of the reasons is the same Timeseries
and Labels structure from different prompb and prompbmarshal packages.
My proposal is to use structures from prompb package only to
marshal/unmarshal sent/received data, but for internal transformations
use only structures from prompbmarshal package
Another example, where it already can help to simplify code is streaming
aggregation pipeline for vmsingle (now it first marshals
prompb.Timeseries to storage.MetricRow and then if streaming aggregation
or deduplication is enabled it unmarshals all the series back but to
prompbmarshal.Timeseries)
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
Production workload shows that it's useful optimisation.
Channel based objects pool allows to handle irregural data ingestion
requests and make memory allocations more smooth.
It's improves sync.Pool efficiency, since objects from sync.Pool removed
after 2 GC cycles. With GOGC=30 value, GC runs significantly more often.
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6733
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: f41gh7 <nik@victoriametrics.com>
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
(cherry picked from commit f255800da3)
Signed-off-by: hagen1778 <roman@victoriametrics.com>
# Conflicts:
# app/vminsert/common/insert_ctx_pool.go
The %q formatter may result in incorrectly formatted JSON string if the original string
contains special chars such as \x1b . They must be encoded as \u001b , otherwise the resulting JSON string
cannot be parsed by JSON parsers.
This is a follow-up for c0caa69939
See https://github.com/VictoriaMetrics/victorialogs-datasource/issues/24
- Move the remaining code responsible for stream aggregation initialization from remotewrite.go to streamaggr.go .
This improves code maintainability a bit.
- Properly shut down streamaggr.Aggregators initialized inside remotewrite.CheckStreamAggrConfigs().
This prevents from potential resource leaks.
- Use separate functions for initializing and reloading of global stream aggregation and per-remoteWrite.url stream aggregation.
This makes the code easier to read and maintain. This also fixes INFO and ERROR logs emitted by these functions.
- Add an ability to specify `name` option in every stream aggregation config. This option is used as `name` label
in metrics exposed by stream aggregation at /metrics page. This simplifies investigation of the exposed metrics.
- Add `path` label additionally to `name`, `url` and `position` labels at metrics exposed by streaming aggregation.
This label should simplify investigation of the exposed metrics.
- Remove `match` and `group` labels from metrics exposed by streaming aggregation, since they have little practical applicability:
it is hard to use these labels in query filters and aggregation functions.
- Rename the metric `vm_streamaggr_flushed_samples_total` to less misleading `vm_streamaggr_output_samples_total` .
This metric shows the number of samples generated by the corresponding streaming aggregation rule.
This metric has been added in the commit 861852f262 .
See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6462
- Remove the metric `vm_streamaggr_stale_samples_total`, since it is unclear how it can be used in practice.
This metric has been added in the commit 861852f262 .
See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6462
- Remove Alias and aggrID fields from streamaggr.Options struct, since these fields aren't related to optional params,
which could modify the behaviour of the constructed streaming aggregator.
Convert the Alias field to regular argument passed to LoadFromFile() function, since this argument is mandatory.
- Pass Options arg to LoadFromFile() function by reference, since this structure is quite big.
This also allows passing nil instead of Options when default options are enough.
- Add `name`, `path`, `url` and `position` labels to `vm_streamaggr_dedup_state_size_bytes` and `vm_streamaggr_dedup_state_items_count` metrics,
so they have consistent set of labels comparing to the rest of streaming aggregation metrics.
- Convert aggregator.aggrStates field type from `map[string]aggrState` to `[]aggrOutput`, where `aggrOutput` contains the corresponding
`aggrState` plus all the related metrics (currently only `vm_streamaggr_output_samples_total` metric is exposed with the corresponding
`output` label per each configured output function). This simplifies and speeds up the code responsible for updating per-output
metrics. This is a follow-up for the commit 2eb1bc4f81 .
See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6604
- Added missing urls to docs ( https://docs.victoriametrics.com/stream-aggregation/ ) in error messages. These urls help users
figuring out why VictoriaMetrics or vmagent generates the corresponding error messages. The urls were removed for unknown reason
in the commit 2eb1bc4f81 .
- Fix incorrect update for `vm_streamaggr_output_samples_total` metric in flushCtx.appendSeriesWithExtraLabel() function.
While at it, reduce memory usage by limiting the maximum number of samples per flush to 10K.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5467
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6268
Reason for revert:
There are many statsd servers exist:
- https://github.com/statsd/statsd - classical statsd server
- https://docs.datadoghq.com/developers/dogstatsd/ - statsd server from DataDog built into DatDog Agent ( https://docs.datadoghq.com/agent/ )
- https://github.com/avito-tech/bioyino - high-performance statsd server
- https://github.com/atlassian/gostatsd - statsd server in Go
- https://github.com/prometheus/statsd_exporter - statsd server, which exposes the aggregated data as Prometheus metrics
These servers can be used for efficient aggregating of statsd data and sending it to VictoriaMetrics
according to https://docs.victoriametrics.com/#how-to-send-data-from-graphite-compatible-agents-such-as-statsd (
the https://github.com/prometheus/statsd_exporter can be scraped as usual Prometheus target
according to https://docs.victoriametrics.com/#how-to-scrape-prometheus-exporters-such-as-node-exporter ).
Adding support for statsd data ingestion protocol into VictoriaMetrics makes sense only if it provides
significant advantages over the existing statsd servers, while has no significant drawbacks comparing
to existing statsd servers.
The main advantage of statsd server built into VictoriaMetrics and vmagent - getting rid of additional statsd server.
The main drawback is non-trivial and inconvenient streaming aggregation configs, which must be used for the ingested statsd metrics (
see https://docs.victoriametrics.com/stream-aggregation/ ). These configs are incompatible with the configs for standalone statsd servers.
So you need to manually translate configs of the used statsd server to stream aggregation configs when migrating
from standalone statsd server to statsd server built into VictoriaMetrics (or vmagent).
Another important drawback is that it is very easy to shoot yourself in the foot when using built-in statsd server
with the -statsd.disableAggregationEnforcement command-line flag or with improperly configured streaming aggregation.
In this case the ingested statsd metrics will be stored to VictoriaMetrics as is without any aggregation.
This may result in high CPU usage during data ingestion, high disk space usage for storing all the unaggregated
statsd metrics and high CPU usage during querying, since all the unaggregated metrics must be read, unpacked and processed
during querying.
P.S. Built-in statsd server can be added to VictoriaMetrics and vmagent after figuring out more ergonomic
specialized configuration for aggregating of statsd metrics. The main requirements for this configuration:
- easy to write, read and update (ideally it should work out of the box for most cases without additional configuration)
- hard to misconfigure (e.g. hard to shoot yourself in the foot)
It would be great if this configuration will be compatible with the configuration of the most widely used statsd server.
In the mean time it is recommended continue using external statsd server.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6265
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/5053
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5052
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/206
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4600
- Clarify docs for `Ignore aggregation intervals on start` feature.
- Make more clear the code dealing with ignoreFirstIntervals at aggregator.runFlusher() functions.
It is better from readability and maintainability PoV using distinct a.flush() calls
for distinct cases instead of merging them into a single a.flush() call.
- Take into account the first incomplete interval when tracking the number of skipped aggregation intervals,
since this behaviour is easier to understand by the end users.
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6137
### Describe Your Changes
- added stale metrics counters for input and output samples
- added labels for aggregator metrics =>
`name="{rwctx}:{aggrId}:{aggrSuffix}"`
- rwctx - global or number starting from 1
- aggrid - aggregator id starting from 1
- aggrSuffix - <interval>_(by|without)_label1_label2_labeln
e.g: `name="global:1:1m_without_instance_pod"`
### Checklist
The following checks are **mandatory**:
- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
* It must reduce memory usage for misbehaving clients. Since
VictoriaMetrics stores sparse index inmemory.
* Reduce disk space usage for indexdb.
* Prevent possible indexDB items drops.
* It may trigger slow insert and new timeseries registration due to
default value for flag change
https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6176
---------
Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
Prevent excessive resource usage when stream aggregation config file
contains no matchers by prevent pushing data into Aggregators object.
Before this change a lot of extra work was invoked without reason.
Signed-off-by: hagen1778 <roman@victoriametrics.com>
* adds datadog extensions for statsd:
- multiple packed values (v1.1)
- additional types distribution, histogram
* adds type check and append metric type to the labels with special tag
name `__statsd_metric_type__`. It simplifies streaming aggregation
config.
---------
Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
