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10 Commits

Author SHA1 Message Date
kirillyu
78d2569faa docs: add memory model diagram and dedupe best practices
Add a process memory model diagram with its excalidraw source to the Memory
shortage guide, normalize the memory signals to copy-pasteable MetricsQL, and
remove a duplicate Memory section in Best practices.

Signed-off-by: kirillyu <login40000@gmail.com>
2026-07-08 15:06:55 +02:00
hagen1778
04ce9e0378 address review comments
Signed-off-by: hagen1778 <roman@victoriametrics.com>
2026-07-08 11:22:38 +02:00
kirillyu
9f8d7dc72c docs: add memory shortage troubleshooting guide
Add a Memory shortage section to Troubleshooting: how to tell a real shortage from normal high memory use, the signals to watch on the dashboards, the cache-bound, heap-bound and I/O-bound patterns, and how to fix each. Add a Memory section to Best practices (GOMEMLIMIT, cache tuning, VPA, headroom) and link it from the slow data ingestion notes.
2026-07-08 10:11:31 +02:00
Kirill Yurkov
3625659d05 Update docs/victoriametrics/Troubleshooting.md
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
Signed-off-by: Kirill Yurkov <kirillyu@users.noreply.github.com>
2026-07-06 15:07:01 +03:00
Kirill Yurkov
42685a945b Update docs/victoriametrics/Troubleshooting.md
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
Signed-off-by: Kirill Yurkov <kirillyu@users.noreply.github.com>
2026-07-06 15:04:09 +03:00
Kirill Yurkov
1afb39b6fc Update docs/victoriametrics/Troubleshooting.md
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
Signed-off-by: Kirill Yurkov <kirillyu@users.noreply.github.com>
2026-07-06 15:03:38 +03:00
Kirill Yurkov
dceda4c272 Update docs/victoriametrics/Troubleshooting.md
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
Signed-off-by: Kirill Yurkov <kirillyu@users.noreply.github.com>
2026-07-06 14:44:47 +03:00
Kirill Yurkov
823d352921 Update docs/victoriametrics/Troubleshooting.md
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
Signed-off-by: Kirill Yurkov <kirillyu@users.noreply.github.com>
2026-07-06 14:44:34 +03:00
Kirill Yurkov
cd60caa955 Update docs/victoriametrics/Troubleshooting.md
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
Signed-off-by: Kirill Yurkov <kirillyu@users.noreply.github.com>
2026-07-06 14:44:11 +03:00
kirillyu
a1c3b4d267 Add Memory shortage troubleshooting section and Memory best practices
Memory accounting, signals, shortage patterns, out-of-memory detection, and fixes; plus a Memory section in Best practices.
2026-06-26 12:18:21 +02:00
849 changed files with 16126 additions and 34661 deletions

View File

@@ -65,7 +65,7 @@ jobs:
arch: amd64
steps:
- name: Code checkout
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false

View File

@@ -13,7 +13,7 @@ jobs:
contents: read
runs-on: 'ubuntu-latest'
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
# needed for proper diff
fetch-depth: 0

View File

@@ -12,7 +12,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
fetch-depth: 0 # we need full history for commit verification
persist-credentials: false

View File

@@ -17,7 +17,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Code checkout
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false

View File

@@ -31,7 +31,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
@@ -54,14 +54,14 @@ jobs:
restore-keys: go-artifacts-${{ runner.os }}-codeql-analyze-${{ steps.go.outputs.go-version }}-
- name: Initialize CodeQL
uses: github/codeql-action/init@54f647b7e1bb85c95cddabcd46b0c578ec92bc1a # v4.36.3
uses: github/codeql-action/init@e46ed2cbd01164d986452f91f178727624ae40d7 # v4.35.3
with:
languages: go
- name: Autobuild
uses: github/codeql-action/autobuild@54f647b7e1bb85c95cddabcd46b0c578ec92bc1a # v4.36.3
uses: github/codeql-action/autobuild@e46ed2cbd01164d986452f91f178727624ae40d7 # v4.35.3
- name: Perform CodeQL Analysis
uses: github/codeql-action/analyze@54f647b7e1bb85c95cddabcd46b0c578ec92bc1a # v4.36.3
uses: github/codeql-action/analyze@e46ed2cbd01164d986452f91f178727624ae40d7 # v4.35.3
with:
category: 'language:go'

View File

@@ -18,13 +18,13 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Code checkout
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
path: __vm
persist-credentials: false
- name: Checkout private code
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
repository: VictoriaMetrics/vmdocs
token: ${{ secrets.VM_BOT_GH_TOKEN }}

View File

@@ -34,7 +34,7 @@ jobs:
runs-on: 'vm-runner'
steps:
- name: Code checkout
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
@@ -79,7 +79,7 @@ jobs:
steps:
- name: Code checkout
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
@@ -106,7 +106,7 @@ jobs:
steps:
- name: Code checkout
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false

View File

@@ -26,11 +26,13 @@ jobs:
vmui-checks:
name: VMUI Checks (lint, test, typecheck)
permissions:
checks: write
contents: read
pull-requests: read
runs-on: ubuntu-latest
steps:
- name: Code checkout
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
with:
persist-credentials: false
@@ -68,6 +70,12 @@ jobs:
env:
VMUI_SKIP_INSTALL: true
- name: Annotate Code Linting Results
uses: ataylorme/eslint-annotate-action@d57a1193d4c59cbfbf3f86c271f42612f9dbd9e9 # 3.0.0
with:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
report-json: app/vmui/packages/vmui/vmui-lint-report.json
- name: Check overall status
run: |
echo "Lint status: ${{ steps.lint.outcome }}"

View File

@@ -23,4 +23,3 @@ linters:
text: 'SA(4003|1019|5011):'
paths:
- ^app/vmui/
- app/vmui/packages/vmui/node_modules/

View File

@@ -447,7 +447,7 @@ vet:
go vet ./app/...
go vet ./apptest/...
check-all: fmt vet golangci-lint
check-all: fmt vet golangci-lint govulncheck
clean-checkers: remove-golangci-lint remove-govulncheck
@@ -471,9 +471,8 @@ test-full-386:
apptest:
$(MAKE) victoria-metrics-race vmagent-race vmalert-race vmauth-race vmctl-race vmbackup-race vmrestore-race
go test ./apptest/... -skip="^Test(Cluster|Mixed|Legacy).*"
go test ./apptest/... -skip="^Test(Cluster|Legacy).*"
# App tests for legacy indexDB
apptest-legacy: victoria-metrics-race vmbackup-race vmrestore-race
OS=$$(uname | tr '[:upper:]' '[:lower:]'); \
ARCH=$$(uname -m | tr '[:upper:]' '[:lower:]' | sed 's/x86_64/amd64/'); \
@@ -490,22 +489,6 @@ apptest-legacy: victoria-metrics-race vmbackup-race vmrestore-race
VMSTORAGE_V1_132_0_PATH=$${DIR}/vmstorage-prod \
go test ./apptest/tests -run="^TestLegacySingle.*"
# App tests for mixed setups where vmsingle and vmcluster coexist.
apptest-mixed: victoria-metrics-race
OS=$$(uname | tr '[:upper:]' '[:lower:]'); \
ARCH=$$(uname -m | tr '[:upper:]' '[:lower:]' | sed 's/x86_64/amd64/'); \
VERSION=v1.147.0; \
VMSINGLE=victoria-metrics-$${OS}-$${ARCH}-$${VERSION}.tar.gz; \
VMCLUSTER=victoria-metrics-$${OS}-$${ARCH}-$${VERSION}-cluster.tar.gz; \
URL=https://github.com/VictoriaMetrics/VictoriaMetrics/releases/download/$${VERSION}; \
DIR=/tmp/$${VERSION}; \
test -d $${DIR} || (mkdir $${DIR} && \
curl --output-dir /tmp -LO $${URL}/$${VMSINGLE} && tar xzf /tmp/$${VMSINGLE} -C $${DIR} && \
curl --output-dir /tmp -LO $${URL}/$${VMCLUSTER} && tar xzf /tmp/$${VMCLUSTER} -C $${DIR} \
); \
VMSELECT_PATH=$${DIR}/vmselect-prod \
go test ./apptest/tests -run="^TestMixed.*"
benchmark:
go test -run=NO_TESTS -bench=. ./lib/...
go test -run=NO_TESTS -bench=. ./app/...

View File

@@ -89,7 +89,7 @@ func main() {
}
logger.Infof("starting VictoriaMetrics at %q...", listenAddrs)
startTime := time.Now()
vmstorage.Init(*vmselectMaxConcurrentRequests, *vmselectMaxQueueDuration, promql.ResetRollupResultCacheIfNeeded)
vmstorage.Init(*vmselectMaxConcurrentRequests, promql.ResetRollupResultCacheIfNeeded)
vmselect.Init(*vmselectMaxConcurrentRequests, *vmselectMaxQueueDuration)
vminsertcommon.StartIngestionRateLimiter(*maxIngestionRate)
vminsert.Init()

View File

@@ -51,7 +51,7 @@ func InsertHandlerForHTTP(at *auth.Token, req *http.Request) error {
}
q := req.URL.Query()
precision := q.Get("precision")
// Read db tag from https://docs.influxdata.com/influxdb/v1/api/write/#operation/PostWrite
// Read db tag from https://docs.influxdata.com/influxdb/v1.7/tools/api/#write-http-endpoint
db := q.Get("db")
encoding := req.Header.Get("Content-Encoding")
isStreamMode := req.Header.Get("Stream-Mode") == "1"

View File

@@ -462,9 +462,7 @@ func requestHandler(w http.ResponseWriter, r *http.Request) bool {
return true
case "/prometheus/metric-relabel-debug", "/metric-relabel-debug":
promscrapeMetricRelabelDebugRequests.Inc()
rwGlobalRelabelConfigs := remotewrite.GetRemoteWriteRelabelConfigString()
rwURLRelabelConfigss := remotewrite.GetURLRelabelConfigString()
promscrape.WriteMetricRelabelDebug(w, r, rwGlobalRelabelConfigs, rwURLRelabelConfigss)
promscrape.WriteMetricRelabelDebug(w, r)
return true
case "/prometheus/target-relabel-debug", "/target-relabel-debug":
promscrapeTargetRelabelDebugRequests.Inc()

View File

@@ -63,7 +63,6 @@ func insertRows(at *auth.Token, tss []prompb.TimeSeries, mms []prompb.MetricMeta
rowsTotal := 0
tssDst := ctx.WriteRequest.Timeseries[:0]
mmsDst := ctx.WriteRequest.Metadata[:0]
labels := ctx.Labels[:0]
samples := ctx.Samples[:0]
for i := range tss {
@@ -83,19 +82,7 @@ func insertRows(at *auth.Token, tss []prompb.TimeSeries, mms []prompb.MetricMeta
var metadataTotal int
if prommetadata.IsEnabled() {
for i := range mms {
mm := &mms[i]
mmsDst = append(mmsDst, prompb.MetricMetadata{
MetricFamilyName: mm.MetricFamilyName,
Help: mm.Help,
Type: mm.Type,
Unit: mm.Unit,
AccountID: mm.AccountID,
ProjectID: mm.ProjectID,
})
}
ctx.WriteRequest.Metadata = mmsDst
ctx.WriteRequest.Metadata = mms
metadataTotal = len(mms)
}

View File

@@ -35,9 +35,6 @@ func InsertHandler(at *auth.Token, req *http.Request) error {
}
func insertRows(at *auth.Token, timeseries []prompb.TimeSeries, mms []prompb.MetricMetadata, extraLabels []prompb.Label) error {
if len(extraLabels) == 0 && !prommetadata.IsEnabled() && at == nil {
return insertRowsFast(at, timeseries)
}
ctx := common.GetPushCtx()
defer common.PutPushCtx(ctx)
@@ -105,17 +102,3 @@ func insertRows(at *auth.Token, timeseries []prompb.TimeSeries, mms []prompb.Met
rowsPerInsert.Update(float64(rowsTotal))
return nil
}
func insertRowsFast(at *auth.Token, timeseries []prompb.TimeSeries) error {
rowsTotal := 0
for i := range timeseries {
rowsTotal += len(timeseries[i].Samples)
}
wr := &prompb.WriteRequest{Timeseries: timeseries}
if !remotewrite.TryPush(at, wr) {
return remotewrite.ErrQueueFullHTTPRetry
}
rowsInserted.Add(rowsTotal)
rowsPerInsert.Update(float64(rowsTotal))
return nil
}

View File

@@ -151,23 +151,17 @@ func newHTTPClient(argIdx int, remoteWriteURL, sanitizedURL string, fq *persiste
}
tr.Proxy = http.ProxyURL(pu)
}
hc := &http.Client{
Transport: authCfg.NewRoundTripper(tr),
Timeout: sendTimeout.GetOptionalArg(argIdx),
}
rwURL, err := url.Parse(remoteWriteURL)
if err != nil {
logger.Fatalf("BUG: cannot parse already parsed -remoteWrite.url=%q: %s", remoteWriteURL, err)
}
hc.Transport, rwURL = httputil.NewLoadBalancerTransport(hc.Transport, rwURL)
retryMaxIntervalFlag := retryMaxTime
if retryMaxInterval.String() != "" {
retryMaxIntervalFlag = retryMaxInterval
}
c := &client{
sanitizedURL: sanitizedURL,
remoteWriteURL: rwURL.String(),
remoteWriteURL: remoteWriteURL,
authCfg: authCfg,
awsCfg: awsCfg,
fq: fq,

View File

@@ -12,7 +12,6 @@ import (
"github.com/VictoriaMetrics/metrics"
"gopkg.in/yaml.v2"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
@@ -83,16 +82,6 @@ func WriteRelabelConfigData(w io.Writer) {
_, _ = w.Write(*p)
}
// GetRemoteWriteRelabelConfigString returns -remoteWrite.relabelConfig contents in string
func GetRemoteWriteRelabelConfigString() string {
var bb bytesutil.ByteBuffer
WriteRelabelConfigData(&bb)
if bb.Len() == 0 {
return ""
}
return string(bb.B)
}
// WriteURLRelabelConfigData writes -remoteWrite.urlRelabelConfig contents to w
func WriteURLRelabelConfigData(w io.Writer) {
p := remoteWriteURLRelabelConfigData.Load()
@@ -119,24 +108,6 @@ func WriteURLRelabelConfigData(w io.Writer) {
_, _ = w.Write(d)
}
// GetURLRelabelConfigString returns -remoteWrite.urlRelabelConfig contents in []string
func GetURLRelabelConfigString() []string {
p := remoteWriteURLRelabelConfigData.Load()
if p == nil {
return nil
}
var ss []string
for i := range *remoteWriteURLs {
cfgData := (*p)[i]
var cfgDataBytes []byte
if cfgData != nil {
cfgDataBytes, _ = yaml.Marshal(cfgData)
}
ss = append(ss, string(cfgDataBytes))
}
return ss
}
func reloadRelabelConfigs() {
rcs := allRelabelConfigs.Load()
if !rcs.isSet() {

View File

@@ -12,18 +12,19 @@ import (
"sync/atomic"
"time"
"github.com/VictoriaMetrics/metrics"
"github.com/cespare/xxhash/v2"
"github.com/VictoriaMetrics/metrics"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/auth"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bloomfilter"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/consistenthash"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/mdx"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/memory"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/persistentqueue"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/procutil"
@@ -105,9 +106,6 @@ var (
"cannot be pushed into the configured -remoteWrite.url systems in a timely manner. See https://docs.victoriametrics.com/victoriametrics/vmagent/#disabling-on-disk-persistence")
disableMetadataPerURL = flagutil.NewArrayBool("remoteWrite.disableMetadata", "Whether to disable sending metadata to the corresponding -remoteWrite.url. "+
"By default, metadata sending is controlled by the global -enableMetadata flag")
enableMdx = flagutil.NewArrayBool("remoteWrite.mdx.enable", "Whether to only retain metrics from VictoriaMetrics services before sending them to the corresponding -remoteWrite.url. "+
"Please see https://docs.victoriametrics.com/victoriametrics/vmagent/#monitoring-data-exchange")
)
var (
@@ -164,8 +162,8 @@ func InitSecretFlags() {
}
var (
shardByURLLabelsFilter []string
shardByURLIgnoreLabelsFilter []string
shardByURLLabelsMap map[string]struct{}
shardByURLIgnoreLabelsMap map[string]struct{}
)
// Init initializes remotewrite.
@@ -212,8 +210,8 @@ func Init() {
logger.Fatalf("-remoteWrite.shardByURL.labels and -remoteWrite.shardByURL.ignoreLabels cannot be set simultaneously; " +
"see https://docs.victoriametrics.com/victoriametrics/vmagent/#sharding-among-remote-storages")
}
shardByURLLabelsFilter = slices.Clone(*shardByURLLabels)
shardByURLIgnoreLabelsFilter = slices.Clone(*shardByURLIgnoreLabels)
shardByURLLabelsMap = newMapFromStrings(*shardByURLLabels)
shardByURLIgnoreLabelsMap = newMapFromStrings(*shardByURLIgnoreLabels)
initLabelsGlobal()
@@ -309,10 +307,6 @@ func initRemoteWriteCtxs(urls []string) {
}
fs.RegisterPathFsMetrics(*tmpDataPath)
if slices.Contains(*enableMdx, true) && *shardByURL {
logger.Fatalf("-remoteWrite.mdx.enable and -remoteWrite.shardByURL cannot be set to true simultaneously.")
}
if *shardByURL {
consistentHashNodes := make([]string, 0, len(urls))
for i, url := range urls {
@@ -571,14 +565,6 @@ func tryPushMetadataToRemoteStorages(at *auth.Token, rwctxs []*remoteWriteCtx, m
mm.ProjectID = at.ProjectID
}
}
tmp := mms[:0]
for _, mm := range mms {
if timeserieslimits.IsMetricMetadataExceeding(&mm) {
continue
}
tmp = append(tmp, mm)
}
mms = tmp
// Do not shard metadata even if -remoteWrite.shardByURL is set, just replicate it among rwctxs.
// Since metadata is usually small and there is no guarantee that metadata can be sent to
// the same remote storage with the corresponding metrics.
@@ -712,18 +698,18 @@ func shardAmountRemoteWriteCtx(tssBlock []prompb.TimeSeries, shards [][]prompb.T
for _, ts := range tssBlock {
hashLabels := ts.Labels
if len(shardByURLLabelsFilter) > 0 {
if len(shardByURLLabelsMap) > 0 {
hashLabels = tmpLabels.Labels[:0]
for _, label := range ts.Labels {
if slices.Contains(shardByURLLabelsFilter, label.Name) {
if _, ok := shardByURLLabelsMap[label.Name]; ok {
hashLabels = append(hashLabels, label)
}
}
tmpLabels.Labels = hashLabels
} else if len(shardByURLIgnoreLabelsFilter) > 0 {
} else if len(shardByURLIgnoreLabelsMap) > 0 {
hashLabels = tmpLabels.Labels[:0]
for _, label := range ts.Labels {
if !slices.Contains(shardByURLIgnoreLabelsFilter, label.Name) {
if _, ok := shardByURLIgnoreLabelsMap[label.Name]; !ok {
hashLabels = append(hashLabels, label)
}
}
@@ -824,26 +810,34 @@ var (
// it omits the '=' separator between label name and value for backward compatibility.
// Changing it would re-shard all series across remoteWrite targets.
func getLabelsHashForShard(labels []prompb.Label) uint64 {
var d xxhash.Digest
d.Reset()
bb := labelsHashBufPool.Get()
b := bb.B[:0]
for _, label := range labels {
_, _ = d.WriteString(label.Name)
_, _ = d.WriteString(label.Value)
b = append(b, label.Name...)
b = append(b, label.Value...)
}
return d.Sum64()
h := xxhash.Sum64(b)
bb.B = b
labelsHashBufPool.Put(bb)
return h
}
func getLabelsHash(labels []prompb.Label) uint64 {
var d xxhash.Digest
d.Reset()
bb := labelsHashBufPool.Get()
b := bb.B[:0]
for _, label := range labels {
_, _ = d.WriteString(label.Name)
_, _ = d.WriteString("=")
_, _ = d.WriteString(label.Value)
b = append(b, label.Name...)
b = append(b, '=')
b = append(b, label.Value...)
}
return d.Sum64()
h := xxhash.Sum64(b)
bb.B = b
labelsHashBufPool.Put(bb)
return h
}
var labelsHashBufPool bytesutil.ByteBufferPool
func logSkippedSeries(labels []prompb.Label, flagName string, flagValue int) {
select {
case <-logSkippedSeriesTicker.C:
@@ -868,7 +862,6 @@ type remoteWriteCtx struct {
sas atomic.Pointer[streamaggr.Aggregators]
deduplicator *streamaggr.Deduplicator
mdxFilter *mdx.Filter
streamAggrKeepInput bool
streamAggrDropInput bool
@@ -883,7 +876,6 @@ type remoteWriteCtx struct {
rowsPushedAfterRelabel *metrics.Counter
rowsDroppedByRelabel *metrics.Counter
mdxRowsPreserved *metrics.Counter
pushFailures *metrics.Counter
metadataDroppedOnPushFailure *metrics.Counter
@@ -980,6 +972,7 @@ func newRemoteWriteCtx(argIdx int, remoteWriteURL *url.URL, sanitizedURL string)
for i := range pss {
pss[i] = newPendingSeries(fq, &c.useVMProto, sf, rd)
}
rwctx := &remoteWriteCtx{
idx: argIdx,
fq: fq,
@@ -996,16 +989,6 @@ func newRemoteWriteCtx(argIdx int, remoteWriteURL *url.URL, sanitizedURL string)
}
rwctx.initStreamAggrConfig()
if enableMdx.GetOptionalArg(argIdx) {
mdxFilter := mdx.NewFilter()
rwctx.mdxFilter = mdxFilter
rwctx.mdxRowsPreserved = metrics.GetOrCreateCounter(fmt.Sprintf(`vmagent_remotewrite_mdx_rows_preserved_total{path=%q,url=%q}`, queuePath, sanitizedURL))
_ = metrics.NewGauge(fmt.Sprintf(`vmagent_remotewrite_mdx_tracked_instances{path=%q,url=%q}`, queuePath, sanitizedURL), func() float64 {
return float64(mdxFilter.VMInstancesCount())
})
}
return rwctx
}
@@ -1019,11 +1002,6 @@ func (rwctx *remoteWriteCtx) MustStop() {
rwctx.deduplicator.MustStop()
rwctx.deduplicator = nil
}
if rwctx.mdxFilter != nil {
rwctx.mdxFilter.MustStop()
rwctx.mdxFilter = nil
rwctx.mdxRowsPreserved = nil
}
for _, ps := range rwctx.pss {
ps.MustStop()
@@ -1039,7 +1017,6 @@ func (rwctx *remoteWriteCtx) MustStop() {
rwctx.rowsPushedAfterRelabel = nil
rwctx.rowsDroppedByRelabel = nil
}
// TryPushTimeSeries sends tss series to the configured remote write endpoint
@@ -1047,41 +1024,16 @@ func (rwctx *remoteWriteCtx) MustStop() {
// TryPushTimeSeries doesn't modify tss, so tss can be passed concurrently to TryPush across distinct rwctx instances.
func (rwctx *remoteWriteCtx) TryPushTimeSeries(tss []prompb.TimeSeries, forceDropSamplesOnFailure bool) bool {
var rctx *relabelCtx
var mctx *mdx.Ctx
var v *[]prompb.TimeSeries
defer func() {
if v != nil {
*v = prompb.ResetTimeSeries(tss)
tssPool.Put(v)
}
if rctx != nil {
putRelabelCtx(rctx)
}
if mctx != nil {
mdx.PutContext(mctx)
if rctx == nil {
return
}
*v = prompb.ResetTimeSeries(tss)
tssPool.Put(v)
putRelabelCtx(rctx)
}()
copyTimeSeriesIfNeeded := func() {
if v == nil {
v = tssPool.Get().(*[]prompb.TimeSeries)
tss = append(*v, tss...)
}
}
if rwctx.mdxFilter != nil {
mctx = mdx.GetContext()
// Make a copy of tss before applying relabeling in order to prevent
// from affecting time series for other remoteWrite.mdx configs.
copyTimeSeriesIfNeeded()
tss = rwctx.mdxFilter.Filter(mctx, tss)
if len(tss) == 0 {
return true
}
rowsCount := getRowsCount(tss)
rwctx.mdxRowsPreserved.Add(rowsCount)
}
// Apply relabeling
rcs := allRelabelConfigs.Load()
pcs := rcs.perURL[rwctx.idx]
@@ -1091,7 +1043,8 @@ func (rwctx *remoteWriteCtx) TryPushTimeSeries(tss []prompb.TimeSeries, forceDro
// from affecting time series for other remoteWrite.url configs.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/467
// and https://github.com/VictoriaMetrics/VictoriaMetrics/issues/599
copyTimeSeriesIfNeeded()
v = tssPool.Get().(*[]prompb.TimeSeries)
tss = append(*v, tss...)
rowsCountBeforeRelabel := getRowsCount(tss)
tss = rctx.applyRelabeling(tss, pcs)
rowsCountAfterRelabel := getRowsCount(tss)
@@ -1109,7 +1062,8 @@ func (rwctx *remoteWriteCtx) TryPushTimeSeries(tss []prompb.TimeSeries, forceDro
if rctx == nil {
rctx = getRelabelCtx()
// Make a copy of tss before dropping aggregated series
copyTimeSeriesIfNeeded()
v = tssPool.Get().(*[]prompb.TimeSeries)
tss = append(*v, tss...)
}
tss = dropAggregatedSeries(tss, matchIdxs.B, rwctx.streamAggrDropInput)
} else if rwctx.streamAggrDropInput {
@@ -1117,7 +1071,8 @@ func (rwctx *remoteWriteCtx) TryPushTimeSeries(tss []prompb.TimeSeries, forceDro
if rctx == nil {
rctx = getRelabelCtx()
// Make a copy of tss before dropping aggregated series
copyTimeSeriesIfNeeded()
v = tssPool.Get().(*[]prompb.TimeSeries)
tss = append(*v, tss...)
}
tss = dropUnaggregatedSeries(tss, matchIdxs.B)
}
@@ -1236,6 +1191,15 @@ func getRowsCount(tss []prompb.TimeSeries) int {
}
return rowsCount
}
func newMapFromStrings(a []string) map[string]struct{} {
m := make(map[string]struct{}, len(a))
for _, s := range a {
m[s] = struct{}{}
}
return m
}
func getMaxHourlySeries() int {
limit := *maxHourlySeries
if limit == -1 || limit > math.MaxInt32 {

View File

@@ -6,6 +6,7 @@ import (
"net/url"
"reflect"
"sort"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/datasource"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompb"
@@ -93,3 +94,10 @@ Outer:
}
return
}
func durationToTime(pd *promutil.Duration) time.Time {
if pd == nil {
return time.Time{}
}
return time.UnixMilli(pd.Duration().Milliseconds())
}

View File

@@ -44,19 +44,12 @@ import (
var (
storagePath string
httpListenAddr string
// Insert series from 2000-01-01T00:00:00.
testStartTime = time.Date(2000, 1, 1, 0, 0, 0, 0, time.UTC)
// insert series from 1970-01-01T00:00:00
testStartTime = time.Unix(0, 0).UTC()
testLogLevel = "ERROR"
disableAlertgroupLabel bool
)
func durationToTime(pd *promutil.Duration) time.Time {
if pd == nil {
return testStartTime
}
return testStartTime.Add(pd.Duration())
}
const (
testStoragePath = "vmalert-unittest"
)
@@ -289,8 +282,7 @@ func processFlags() {
func setUp() {
const maxConcurrentRequests = 4
maxQueueDuration := 5 * time.Second
vmstorage.Init(maxConcurrentRequests, maxQueueDuration, promql.ResetRollupResultCacheIfNeeded)
vmstorage.Init(maxConcurrentRequests, promql.ResetRollupResultCacheIfNeeded)
ctx, cancel := context.WithTimeout(context.Background(), 30*time.Second)
defer cancel()
readyCheckFunc := func() bool {

View File

@@ -145,10 +145,10 @@ func TestRuleValidate(t *testing.T) {
}
func TestGroupValidate_Failure(t *testing.T) {
f := func(data []byte, validateExpressions bool, errStrExpected string) {
f := func(group *Group, validateExpressions bool, errStrExpected string) {
t.Helper()
_, err := parse(map[string][]byte{"test.yaml": data}, nil, validateExpressions)
err := group.Validate(nil, validateExpressions)
if err == nil {
t.Fatalf("expecting non-nil error")
}
@@ -158,238 +158,275 @@ func TestGroupValidate_Failure(t *testing.T) {
}
}
f([]byte(`
groups:
- name: ""
`), false, "group name must be set")
f(&Group{}, false, "group name must be set")
f([]byte(`
groups:
- name: both record and alert are not set
rules:
- expr: "sum(up == 0 ) by (host)"
for: 10ms
- expr: "sumSeries(time('foo.bar',10))"
`), false, "invalid rule")
f(&Group{
Name: "both record and alert are not set",
Rules: []Rule{
{
Expr: "sum(up == 0 ) by (host)",
For: promutil.NewDuration(10 * time.Millisecond),
},
{
Expr: "sumSeries(time('foo.bar',10))",
},
},
}, false, "invalid rule")
f([]byte(`
groups:
- name: negative interval
interval: -1ms
`), false, "interval shouldn't be lower than 0")
f(&Group{
Name: "negative interval",
Interval: promutil.NewDuration(-1),
}, false, "interval shouldn't be lower than 0")
f([]byte(`
groups:
- name: too big eval_offset
interval: 1m
eval_offset: 2m
`), false, "eval_offset should be smaller than interval")
f(&Group{
Name: "too big eval_offset",
Interval: promutil.NewDuration(time.Minute),
EvalOffset: promutil.NewDuration(2 * time.Minute),
}, false, "eval_offset should be smaller than interval")
f([]byte(`
groups:
- name: too big negative eval_offset
interval: 1m
eval_offset: -2m
`), false, "eval_offset should be smaller than interval")
f(&Group{
Name: "too big negative eval_offset",
Interval: promutil.NewDuration(time.Minute),
EvalOffset: promutil.NewDuration(-2 * time.Minute),
}, false, "eval_offset should be smaller than interval")
f([]byte(`
groups:
- name: wrong limit
limit: -1
`), false, "invalid limit")
limit := -1
f(&Group{
Name: "wrong limit",
Limit: &limit,
}, false, "invalid limit")
f([]byte(`
groups:
- name: wrong concurrency
concurrency: -1
`), false, "invalid concurrency")
f(&Group{
Name: "wrong concurrency",
Concurrency: -1,
}, false, "invalid concurrency")
f([]byte(`
groups:
- name: test
rules:
- alert: alert
expr: up == 1
- alert: alert
expr: up == 1
`), false, "duplicate")
f(&Group{
Name: "test",
Rules: []Rule{
{
Alert: "alert",
Expr: "up == 1",
},
{
Alert: "alert",
Expr: "up == 1",
},
},
}, false, "duplicate")
f([]byte(`
groups:
- name: test
rules:
- alert: alert
expr: up == 1
labels:
summary: "{{ value|query }}"
- alert: alert
expr: up == 1
labels:
summary: "{{ value|query }}"
`), false, "duplicate")
f(&Group{
Name: "test",
Rules: []Rule{
{Alert: "alert", Expr: "up == 1", Labels: map[string]string{
"summary": "{{ value|query }}",
}},
{Alert: "alert", Expr: "up == 1", Labels: map[string]string{
"summary": "{{ value|query }}",
}},
},
}, false, "duplicate")
f([]byte(`
groups:
- name: test
rules:
- record: record
expr: up == 1
labels:
summary: "{{ value|query }}"
- record: record
expr: up == 1
labels:
summary: "{{ value|query }}"
`), false, "duplicate")
f(&Group{
Name: "test",
Rules: []Rule{
{Record: "record", Expr: "up == 1", Labels: map[string]string{
"summary": "{{ value|query }}",
}},
{Record: "record", Expr: "up == 1", Labels: map[string]string{
"summary": "{{ value|query }}",
}},
},
}, false, "duplicate")
f([]byte(`
groups:
- name: test thanos
type: thanos
rules:
- alert: alert
expr: up == 1
labels:
description: "{{ value|query }}"
`), true, "unknown datasource type")
f(&Group{
Name: "test",
Rules: []Rule{
{Alert: "alert", Expr: "up == 1", Labels: map[string]string{
"summary": "{{ value|query }}",
}},
{Alert: "alert", Expr: "up == 1", Labels: map[string]string{
"description": "{{ value|query }}",
}},
},
}, false, "duplicate")
f(&Group{
Name: "test",
Rules: []Rule{
{Record: "alert", Expr: "up == 1", Labels: map[string]string{
"summary": "{{ value|query }}",
}},
{Alert: "alert", Expr: "up == 1", Labels: map[string]string{
"summary": "{{ value|query }}",
}},
},
}, false, "duplicate")
f(&Group{
Name: "test thanos",
Type: NewRawType("thanos"),
Rules: []Rule{
{Alert: "alert", Expr: "up == 1", Labels: map[string]string{
"description": "{{ value|query }}",
}},
},
}, true, "unknown datasource type")
// validate expressions
f([]byte(`
groups:
- name: test prometheus expr
type: prometheus
rules:
- record: record
expr: "up | 0"
`), true, "bad MetricsQL expr")
f(&Group{
Name: "test prometheus expr",
Type: NewPrometheusType(),
Rules: []Rule{
{
Record: "record",
Expr: "up | 0",
},
},
}, true, "bad MetricsQL expr")
f([]byte(`
groups:
- name: test graphite expr
type: graphite
rules:
- alert: alert
expr: up == 1
labels:
description: some-description
`), true, "bad GraphiteQL expr")
f(&Group{
Name: "test graphite expr",
Type: NewGraphiteType(),
Rules: []Rule{
{Alert: "alert", Expr: "up == 1", Labels: map[string]string{
"description": "some-description",
}},
},
}, true, "bad GraphiteQL expr")
f([]byte(`
groups:
- name: test vlogs expr
type: vlogs
rules:
- alert: alert
expr: "stats count(*) as requests"
`), true, "bad LogsQL expr")
f(&Group{
Name: "test vlogs expr",
Type: NewVLogsType(),
Rules: []Rule{
{Alert: "alert", Expr: "stats count(*) as requests"},
},
}, true, "bad LogsQL expr")
f([]byte(`
groups:
- name: test vlogs expr multipart
type: vlogs
rules:
- alert: alert
expr: "_time: 1m | stats by (path, _time: 1m) count(*) as requests"
`), true, "bad LogsQL expr")
f(&Group{
Name: "test vlogs expr",
Type: NewVLogsType(),
Rules: []Rule{
{Alert: "alert", Expr: "_time: 1m | stats by (path, _time: 1m) count(*) as requests"},
},
}, true, "bad LogsQL expr")
f([]byte(`
groups:
- name: test graphite with prometheus expr
type: graphite
rules:
- record: r1
expr: "sumSeries(time('foo.bar',10))"
for: 10ms
- record: r2
expr: "sum(up == 0 ) by (host)"
`), true, "bad GraphiteQL expr")
f(&Group{
Name: "test graphite with prometheus expr",
Type: NewGraphiteType(),
Rules: []Rule{
{
Record: "r1",
ID: 1,
Expr: "sumSeries(time('foo.bar',10))",
For: promutil.NewDuration(10 * time.Millisecond),
},
{
Record: "r2",
ID: 2,
Expr: "sum(up == 0 ) by (host)",
},
},
}, true, "bad GraphiteQL expr")
f([]byte(`
groups:
- name: test vlogs with prometheus expr
type: vlogs
rules:
- record: r1
expr: "sum(up == 0 ) by (host)"
for: 10ms
`), true, "bad LogsQL expr")
f(&Group{
Name: "test vlogs with prometheus exp",
Type: NewVLogsType(),
Rules: []Rule{
{
Record: "r1",
Expr: "sum(up == 0 ) by (host)",
For: promutil.NewDuration(10 * time.Millisecond),
},
},
}, true, "bad LogsQL expr")
f([]byte(`
groups:
- name: test prometheus with vlogs expr
type: prometheus
rules:
- record: r1
expr: "* | stats by (path) count()"
for: 10ms
`), true, "bad MetricsQL expr")
f(&Group{
Name: "test prometheus with vlogs exp",
Type: NewPrometheusType(),
Rules: []Rule{
{
Record: "r1",
Expr: "* | stats by (path) count()",
For: promutil.NewDuration(10 * time.Millisecond),
},
},
}, true, "bad MetricsQL expr")
}
func TestGroupValidate_Success(t *testing.T) {
f := func(data []byte, validateAnnotations, validateExpressions bool) {
f := func(group *Group, validateAnnotations, validateExpressions bool) {
t.Helper()
var validateTplFn ValidateTplFn
if validateAnnotations {
validateTplFn = notifier.ValidateTemplates
}
_, err := parse(map[string][]byte{"test.yaml": data}, validateTplFn, validateExpressions)
err := group.Validate(validateTplFn, validateExpressions)
if err != nil {
t.Fatalf("unexpected error: %s", err)
}
}
f([]byte(`
groups:
- name: test
rules:
- record: record
expr: "up | 0"
`), false, false)
f(&Group{
Name: "test",
Rules: []Rule{
{
Record: "record",
Expr: "up | 0",
},
},
}, false, false)
f([]byte(`
groups:
- name: test
rules:
- alert: alert
expr: up == 1
labels:
summary: "{{ value|query }}"
`), false, false)
f(&Group{
Name: "test",
Rules: []Rule{
{
Alert: "alert",
Expr: "up == 1",
Labels: map[string]string{
"summary": "{{ value|query }}",
},
},
},
}, false, false)
// validate annotations
f([]byte(`
groups:
- name: test
rules:
- alert: alert
expr: up == 1
labels:
summary: "\n{{ with printf \"node_memory_MemTotal{job='node',instance='%s'}\" \"localhost\" | query }}\n {{ . | first | value | humanize1024 }}B\n{{ end }}"
`), true, false)
f(&Group{
Name: "test",
Rules: []Rule{
{
Alert: "alert",
Expr: "up == 1",
Labels: map[string]string{
"summary": `
{{ with printf "node_memory_MemTotal{job='node',instance='%s'}" "localhost" | query }}
{{ . | first | value | humanize1024 }}B
{{ end }}`,
},
},
},
}, true, false)
// validate expressions
f([]byte(`
groups:
- name: test prometheus
type: prometheus
rules:
- alert: alert
expr: up == 1
labels:
description: "{{ value|query }}"
`), false, true)
f([]byte(`
groups:
- name: test victorialogs
type: vlogs
rules:
- alert: alert
expr: " _time: 1m | stats count(*) as requests"
labels:
description: "{{ value|query }}"
`), false, true)
f(&Group{
Name: "test prometheus",
Type: NewPrometheusType(),
Rules: []Rule{
{Alert: "alert", Expr: "up == 1", Labels: map[string]string{
"description": "{{ value|query }}",
}},
},
}, false, true)
f(&Group{
Name: "test victorialogs",
Type: NewVLogsType(),
Rules: []Rule{
{Alert: "alert", Expr: " _time: 1m | stats count(*) as requests", Labels: map[string]string{
"description": "{{ value|query }}",
}},
},
}, false, true)
}
func TestHashRule_NotEqual(t *testing.T) {

View File

@@ -11,7 +11,6 @@ import (
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/vmalertutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httputil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/promauth"
)
@@ -95,12 +94,6 @@ func Init(extraParams url.Values) (QuerierBuilder, error) {
tr.MaxIdleConns = tr.MaxIdleConnsPerHost
}
tr.IdleConnTimeout = *idleConnectionTimeout
hc := &http.Client{Transport: tr}
datasourceURL, err := url.Parse(*addr)
if err != nil {
logger.Fatalf("BUG: cannot parse already parsed -datasource.url=%q: %s", *addr, err)
}
hc.Transport, datasourceURL = httputil.NewLoadBalancerTransport(tr, datasourceURL)
if extraParams == nil {
extraParams = url.Values{}
@@ -127,9 +120,9 @@ func Init(extraParams url.Values) (QuerierBuilder, error) {
}
return &Client{
c: hc,
c: &http.Client{Transport: tr},
authCfg: authCfg,
datasourceURL: strings.TrimSuffix(datasourceURL.String(), "/"),
datasourceURL: strings.TrimSuffix(*addr, "/"),
appendTypePrefix: *appendTypePrefix,
queryStep: *queryStep,
extraParams: extraParams,

View File

@@ -4,14 +4,12 @@ import (
"flag"
"fmt"
"net/http"
"net/url"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/datasource"
"github.com/VictoriaMetrics/VictoriaMetrics/app/vmalert/vmalertutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httputil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/promauth"
)
@@ -78,13 +76,7 @@ func Init() (datasource.QuerierBuilder, error) {
return nil, fmt.Errorf("failed to create transport for -remoteRead.url=%q: %w", *addr, err)
}
tr.IdleConnTimeout = *idleConnectionTimeout
c := &http.Client{Transport: tr}
rrURL, err := url.Parse(*addr)
if err != nil {
logger.Fatalf("BUG: cannot parse already parsed -remoteRead.url=%q: %s", *addr, err)
}
c.Transport, rrURL = httputil.NewLoadBalancerTransport(tr, rrURL)
endpointParams, err := flagutil.ParseJSONMap(*oauth2EndpointParams)
if err != nil {
return nil, fmt.Errorf("cannot parse JSON for -remoteRead.oauth2.endpointParams=%s: %w", *oauth2EndpointParams, err)
@@ -97,5 +89,6 @@ func Init() (datasource.QuerierBuilder, error) {
if err != nil {
return nil, fmt.Errorf("failed to configure auth: %w", err)
}
return datasource.NewPrometheusClient(rrURL.String(), authCfg, false, c), nil
c := &http.Client{Transport: tr}
return datasource.NewPrometheusClient(*addr, authCfg, false, c), nil
}

View File

@@ -8,7 +8,6 @@ import (
"fmt"
"io"
"net/http"
"net/url"
"path"
"strings"
"sync"
@@ -112,18 +111,12 @@ func NewClient(ctx context.Context, cfg Config) (*Client, error) {
if cfg.Concurrency > 0 {
cc = cfg.Concurrency
}
hc := &http.Client{
Timeout: *sendTimeout,
Transport: cfg.Transport,
}
rwURL, err := url.Parse(cfg.Addr)
if err != nil {
logger.Fatalf("cannot parse already parsed -remoteWrite.url=%q: %s", cfg.Addr, err)
}
hc.Transport, rwURL = httputil.NewLoadBalancerTransport(hc.Transport, rwURL)
c := &Client{
c: hc,
addr: strings.TrimSuffix(rwURL.String(), "/"),
c: &http.Client{
Timeout: *sendTimeout,
Transport: cfg.Transport,
},
addr: strings.TrimSuffix(cfg.Addr, "/"),
authCfg: cfg.AuthCfg,
flushInterval: cfg.FlushInterval,
maxBatchSize: cfg.MaxBatchSize,

View File

@@ -97,7 +97,6 @@ type groupMetrics struct {
iterationMissed *metrics.Counter
iterationReset *metrics.Counter
iterationInterval *metrics.Gauge
iterationLimit *metrics.Gauge
}
// merges group rule labels into result map
@@ -337,12 +336,6 @@ func (g *Group) Init() {
i := g.Interval.Seconds()
return i
})
g.metrics.iterationLimit = g.metrics.set.NewGauge(fmt.Sprintf(`vmalert_rule_group_results_limit{%s}`, labels), func() float64 {
g.mu.RLock()
limit := g.Limit
g.mu.RUnlock()
return float64(limit)
})
for i := range g.Rules {
g.Rules[i].registerMetrics(g.metrics.set)
}

View File

@@ -75,13 +75,10 @@ type GroupAlerts struct {
// ApiRule represents a Rule for web view
// see https://github.com/prometheus/compliance/blob/main/alert_generator/specification.md#get-apiv1rules
type ApiRule struct {
// Rule state must be one of these under following scenarios:
// "pending": at least 1 alert in the rule in pending state and no other alert in firing state. (only for alerting rules)
// "firing": at least 1 alert in the rule in firing state. (only for alerting rules)
// "inactive": rule's last evaluation was successful but no alert in the rule in firing or pending state. (only for alerting rules)
// "unhealthy": rule's last evaluation was failed with error. (for both alerting and recording rules)
// "nomatch": rule's last evaluation was successful but no time series matched the rule's expression. (for both alerting and recording rules)
// "ok": the recording rule's last evaluation was successful. (only for recording rules)
// State must be one of these under following scenarios
// "pending": at least 1 alert in the rule in pending state and no other alert in firing ruleState.
// "firing": at least 1 alert in the rule in firing state.
// "inactive": no alert in the rule in firing or pending state.
State string `json:"state"`
Name string `json:"name"`
// Query represents Rule's `expression` field
@@ -240,7 +237,6 @@ func NewAlertAPI(ar *AlertingRule, a *notifier.Alert) *ApiAlert {
}
func (r *ApiRule) ExtendState() {
// if alerting rule already has alerts, then state is already set to either "pending" or "firing" and we don't need to change it
if len(r.Alerts) > 0 {
return
}

View File

@@ -115,7 +115,7 @@ func (rh *requestHandler) handler(w http.ResponseWriter, r *http.Request) bool {
}
WriteRule(w, r, rule)
return true
// used by old vmalert UI
// current used by old vmalert UI and Grafana Alerts
case "/vmalert/groups", "/rules":
rf, err := newRulesFilter(r)
if err != nil {
@@ -128,8 +128,6 @@ func (rh *requestHandler) handler(w http.ResponseWriter, r *http.Request) bool {
state = rf.states[0]
rf.states = rf.states[:1]
}
// enable extendedStates by default for vmalert UI
rf.extendedStates = true
lr := rh.groups(rf)
WriteListGroups(w, r, lr.Data.Groups, state)
return true
@@ -545,8 +543,6 @@ func (rh *requestHandler) groups(rf *rulesFilter) *listGroupsResponse {
if !groupFound && !strings.Contains(strings.ToLower(rule.Name), rf.search) {
continue
}
// extendedStates is used by the vmalert UI to extend the rule state with values such as "nomatch" and "unhealthy".
// those states are not supported by Grafana and not part of the Prometheus API spec yet
if rf.extendedStates {
rule.ExtendState()
}

View File

@@ -130,12 +130,9 @@
data-bs-target="#item-{%s g.ID %}"
>
<span class="d-flex gap-2">
{% if g.States["inactive"] > 0 %}<span class="badge bg-light text-success border border-success" title="None of the alert instances is in a pending or firing state">{%d g.States["inactive"] %} inactive</span> {% endif %}
{% if g.States["pending"] > 0 %}<span class="badge bg-warning text-dark" title="At least one alert instance is pending">{%d g.States["pending"] %} pending</span> {% endif %}
{% if g.States["firing"] > 0 %}<span class="badge bg-danger" title="At least one alert instance is firing">{%d g.States["firing"] %} firing</span> {% endif %}
{% if g.States["ok"] > 0 %}<span class="badge bg-success" title="Recording rule last evaluation succeeded">{%d g.States["ok"] %} ok</span>{% endif %}
{% if g.States["unhealthy"] > 0 %}<span class="badge bg-danger" title="Last evaluation failed with an error">{%d g.States["unhealthy"] %} unhealthy</span> {% endif %}
{% if g.States["nomatch"] > 0 %}<span class="badge bg-warning" title="Rule expression matched no time series">{%d g.States["nomatch"] %} nomatch</span> {% endif %}
{% if g.States["unhealthy"] > 0 %}<span class="badge bg-danger" title="Number of rules with status Error">{%d g.States["unhealthy"] %}</span> {% endif %}
{% if g.States["nomatch"] > 0 %}<span class="badge bg-warning" title="Number of rules with status NoMatch">{%d g.States["nomatch"] %}</span> {% endif %}
<span class="badge bg-success" title="Number of rules with status Ok">{%d g.States["ok"] %}</span>
</span>
</span>
</span>
@@ -172,7 +169,7 @@
<thead>
<tr>
<th scope="col" class="w-60">Rule</th>
<th scope="col" class="w-20" class="text-center" title="How many series were produced by the rule">Series Returned</th>
<th scope="col" class="w-20" class="text-center" title="How many series were produced by the rule">Series</th>
<th scope="col" class="w-20" class="text-center" title="How many seconds ago rule was executed">Updated</th>
</tr>
</thead>
@@ -191,21 +188,8 @@
{% else %}
<b>record:</b> {%s r.Name %}
{% endif %}
{% if r.State == "inactive" %}
<span><a class="badge bg-success">{%s r.State %}</a></span>
{% elseif r.State == "pending" %}
<span><a class="badge bg-warning">{%s r.State %}</a></span>
{% elseif r.State == "firing" %}
<span><a class="badge bg-danger">{%s r.State %}</a></span>
{% elseif r.State == "ok" %}
<span><a class="badge bg-success">{%s r.State %}</a></span>
{% elseif r.State == "unhealthy" %}
<span><a class="badge bg-danger">{%s r.State %}</a></span>
{% elseif r.State == "nomatch" %}
<span><a class="badge bg-warning">{%s r.State %}</a></span>
{% endif %}
{%= seriesFetchedWarn(prefix, &r) %}
|
{%= seriesFetchedWarn(prefix, &r) %}
<span><a target="_blank" href="{%s prefix+r.WebLink() %}">Details</a></span>
</div>
<div class="col-12">

File diff suppressed because it is too large Load Diff

View File

@@ -118,10 +118,9 @@ type AccessLogFilters struct {
}
func (ui *UserInfo) logRequest(r *http.Request, userName string, statusCode int, duration time.Duration) {
if ui == nil || ui.AccessLog == nil {
if ui.AccessLog == nil {
return
}
filters := ui.AccessLog.Filters
if filters != nil && len(filters.SkipStatusCodes) > 0 {
if slices.Contains(filters.SkipStatusCodes, statusCode) {
@@ -135,17 +134,6 @@ func (ui *UserInfo) logRequest(r *http.Request, userName string, statusCode int,
r.Host, requestURI, statusCode, remoteAddr, r.UserAgent(), r.Referer(), duration.Milliseconds(), userName)
}
// hasAnyURLs reports whether ui has at least one backend URL route configured.
// It is used only for unauthorized_user config section, since other users
// must always have either URLPrefix or URLMaps set.
func (ui *UserInfo) hasAnyURLs() bool {
if ui == nil {
return false
}
return ui.URLPrefix != nil || len(ui.URLMaps) > 0 || ui.DefaultURL != nil
}
// HeadersConf represents config for request and response headers.
type HeadersConf struct {
RequestHeaders []*Header `yaml:"headers,omitempty"`
@@ -995,11 +983,8 @@ func parseAuthConfig(data []byte) (*AuthConfig, error) {
if err := parseJWTPlaceholdersForUserInfo(ui, false); err != nil {
return nil, err
}
if ui.hasAnyURLs() {
if err := ui.initURLs(); err != nil {
return nil, err
}
if err := ui.initURLs(); err != nil {
return nil, err
}
metricLabels, err := ui.getMetricLabels()

View File

@@ -140,18 +140,6 @@ users:
- "ProjectID: {{.MetricsProjectID}}"
url_prefix: "http://vminsert:8480/insert/prometheus"
# JWT-based routing that relies solely on custom claims.
# The `vm_access` claim is missing, default value will be used.
# e.g. {"role": "admin"}.
- name: jwt-custom-claims
jwt:
skip_verify: true
vm_default_access_claim:
metrics_account_id: 1
match_claims:
role: admin
url_prefix: "http://vmselect-admin:8481/select/0/prometheus"
# Requests without Authorization header are proxied according to `unauthorized_user` section.
# Requests are proxied in round-robin fashion between `url_prefix` backends.
# The deny_partial_response query arg is added to all the proxied requests.

View File

@@ -65,8 +65,6 @@ type JWTConfig struct {
MatchClaims map[string]string `yaml:"match_claims,omitempty"`
parsedMatchClaims []*jwt.Claim
DefaultVMAccessClaim *jwt.VMAccessClaim `yaml:"default_vm_access_claim,omitempty"`
// verifierPool is used to verify JWT tokens.
// It is initialized from PublicKeys and/or PublicKeyFiles.
// In this case, it is initialized once at config reload and never updated until next reload
@@ -434,6 +432,7 @@ func validateJWTPlaceholdersForURL(up *URLPrefix, isAllowed bool) error {
}
if strings.Contains(p, placeholderPrefix) {
return fmt.Errorf("invalid placeholder found in URL request path: %q, supported values are: %s", bu.Path, strings.Join(allPlaceholders, ", "))
}
}
for param, values := range bu.Query() {
@@ -488,6 +487,7 @@ func hasAnyPlaceholders(u *url.URL) bool {
return true
}
}
}
return false
}

View File

@@ -6,7 +6,6 @@ import (
"flag"
"fmt"
"io"
"math/rand/v2"
"net"
"net/http"
"net/textproto"
@@ -32,7 +31,6 @@ import (
"github.com/VictoriaMetrics/VictoriaMetrics/lib/procutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/promauth"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/pushmetrics"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/timerpool"
)
var (
@@ -175,12 +173,11 @@ func requestHandler(w http.ResponseWriter, r *http.Request) bool {
if len(ats) == 0 {
// Process requests for unauthorized users
ui := authConfig.Load().UnauthorizedUser
if ui.hasAnyURLs() {
if ui != nil {
processUserRequest(w, r, ui, nil)
return true
}
ui.logRequest(r, `unauthorized`, http.StatusUnauthorized, 0)
handleMissingAuthorizationError(w)
return true
}
@@ -194,23 +191,17 @@ func requestHandler(w http.ResponseWriter, r *http.Request) bool {
logger.Panicf("BUG: unexpected nil jwt token for user %q", ui.name())
}
defer putToken(tkn)
// Call processUserRequest only if the token contains the vm_access claim
// or a default claim is configured; otherwise fall through to unauthorized_user.
if tkn.HasVMAccessClaim() || ui.JWT.DefaultVMAccessClaim != nil {
processUserRequest(w, r, ui, tkn)
return true
}
processUserRequest(w, r, ui, tkn)
return true
}
uu := authConfig.Load().UnauthorizedUser
if uu.hasAnyURLs() {
if uu != nil {
processUserRequest(w, r, uu, nil)
return true
}
invalidAuthTokenRequests.Inc()
slowdownUnauthorizedResponse(r)
uu.logRequest(r, `unauthorized`, http.StatusUnauthorized, 0)
if *logInvalidAuthTokens {
err := fmt.Errorf("cannot authorize request with auth tokens %q", ats)
err = &httpserver.ErrorWithStatusCode{
@@ -386,7 +377,7 @@ func bufferRequestBody(ctx context.Context, r io.ReadCloser, userName string) (i
return nil, &httpserver.ErrorWithStatusCode{
Err: fmt.Errorf("reject request from the user %s because the request body couldn't be read in -maxQueueDuration=%s; read %d bytes in %s",
userName, *maxQueueDuration, len(buf), d.Truncate(time.Second)),
StatusCode: http.StatusRequestTimeout,
StatusCode: http.StatusBadRequest,
}
}
@@ -433,12 +424,8 @@ func processRequest(w http.ResponseWriter, r *http.Request, ui *UserInfo, tkn *j
}
targetURL := bu.url
if tkn != nil {
vmac := tkn.VMAccess()
if !tkn.HasVMAccessClaim() {
vmac = ui.JWT.DefaultVMAccessClaim
}
// for security reasons allow templating only for configured url values and headers
targetURL, hc = replaceJWTPlaceholders(bu, hc, vmac)
targetURL, hc = replaceJWTPlaceholders(bu, hc, tkn.VMAccess())
}
if isDefault {
// Don't change path and add request_path query param for default route.
@@ -894,20 +881,3 @@ func debugInfo(u *url.URL, r *http.Request) string {
fmt.Fprint(s, ")")
return s.String()
}
// slowdownUnauthorizedResponse adds a random delay in the [2..3] seconds range before returning an unauthorized response.
// This reduces the effectiveness of brute-force.
//
// Recommended by OWASP Top10:
// https://owasp.org/Top10/2025/A07_2025-Authentication_Failures
func slowdownUnauthorizedResponse(r *http.Request) {
d := 2*time.Second + time.Duration(rand.IntN(1000))*time.Millisecond
t := timerpool.Get(d)
select {
case <-t.C:
case <-r.Context().Done():
}
timerpool.Put(t)
}

View File

@@ -1,54 +0,0 @@
//go:build synctest
package main
import (
"context"
"net/http"
"testing"
"testing/synctest"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/httpserver"
)
func TestBufferRequestBody_Timeout(t *testing.T) {
synctest.Test(t, func(t *testing.T) {
defaultMaxQueueDuration := *maxQueueDuration
defer func() {
*maxQueueDuration = defaultMaxQueueDuration
}()
*maxQueueDuration = 100 * time.Millisecond
ctx, cancel := context.WithTimeout(context.Background(), *maxQueueDuration)
defer cancel()
_, err := bufferRequestBody(ctx, &timeoutBody{delay: *maxQueueDuration + 100*time.Millisecond}, "foo")
if err == nil {
t.Fatalf("expecting non-nil error")
}
esc, ok := err.(*httpserver.ErrorWithStatusCode)
if !ok {
t.Fatalf("unexpected error type: %s", err)
}
if esc.StatusCode != http.StatusRequestTimeout {
t.Fatalf("read request body timeout meet unexpected status code; got %d; want %d", esc.StatusCode, http.StatusRequestTimeout)
}
})
}
type timeoutBody struct {
delay time.Duration
}
func (r *timeoutBody) Read(_ []byte) (int, error) {
time.Sleep(r.delay)
return 0, context.DeadlineExceeded
}
func (r *timeoutBody) Close() error {
return nil
}

View File

@@ -739,12 +739,6 @@ users:
"vm_access": map[string]any{},
}, false)
// token without vm_access claim, but with a custom claim usable for routing
roleToken := genToken(t, map[string]any{
"exp": time.Now().Add(10 * time.Minute).Unix(),
"role": "admin",
}, true)
fullToken := genToken(t, map[string]any{
"exp": time.Now().Add(10 * time.Minute).Unix(),
"vm_access": map[string]any{
@@ -785,45 +779,6 @@ statusCode=401
Unauthorized`
f(simpleCfgStr, request, responseExpected)
// token without vm_access claim should fall through to unauthorized_user
request = httptest.NewRequest(`GET`, "http://some-host.com/abc", nil)
request.Header.Set(`Authorization`, `Bearer `+noVMAccessClaimToken)
responseExpected = `
statusCode=200
path: /bar/abc
query:
headers:`
f(fmt.Sprintf(`
unauthorized_user:
url_prefix: {BACKEND}/bar
users:
- jwt:
public_keys:
- %q
match_claims:
role: admin
url_prefix: {BACKEND}/foo`, string(publicKeyPEM)), request, responseExpected)
// token without vm_access claim is accepted when default_vm_access_claim configured
request = httptest.NewRequest(`GET`, "http://some-host.com/abc", nil)
request.Header.Set(`Authorization`, `Bearer `+roleToken)
responseExpected = `
statusCode=200
path: /foo/abc
query:
headers:`
f(fmt.Sprintf(`
users:
- jwt:
public_keys:
- %q
default_vm_access_claim:
metrics_account_id: 10
metrics_project_id: 10
match_claims:
role: admin
url_prefix: {BACKEND}/foo`, string(publicKeyPEM)), request, responseExpected)
// expired token
request = httptest.NewRequest(`GET`, "http://some-host.com/abc", nil)
request.Header.Set(`Authorization`, `Bearer `+expiredToken)

View File

@@ -8,7 +8,6 @@ import (
"fmt"
"io"
"net/http"
"net/url"
"strings"
"sync"
"time"
@@ -112,7 +111,7 @@ func AddExtraLabelsToImportPath(path string, extraLabels []string) (string, erro
if strings.Contains(dst, "?") {
separator = "&"
}
dst += fmt.Sprintf("%sextra_label=%s", separator, url.QueryEscape(extraLabel))
dst += fmt.Sprintf("%sextra_label=%s", separator, extraLabel)
}
return dst, nil
}

View File

@@ -33,14 +33,11 @@ func TestAddExtraLabelsToImportPath_Success(t *testing.T) {
f("/api/v1/import", nil, "/api/v1/import")
// ok one extra label
f("/api/v1/import", []string{"instance=host-1"}, "/api/v1/import?extra_label=instance%3Dhost-1")
f("/api/v1/import", []string{"instance=host-1"}, "/api/v1/import?extra_label=instance=host-1")
// ok two extra labels
f("/api/v1/import", []string{"instance=host-2", "job=vmagent"}, "/api/v1/import?extra_label=instance%3Dhost-2&extra_label=job%3Dvmagent")
f("/api/v1/import", []string{"instance=host-2", "job=vmagent"}, "/api/v1/import?extra_label=instance=host-2&extra_label=job=vmagent")
// ok two extra with exist param
f("/api/v1/import?timeout=50", []string{"instance=host-2", "job=vmagent"}, "/api/v1/import?timeout=50&extra_label=instance%3Dhost-2&extra_label=job%3Dvmagent")
// ok special chars in label value
f("/api/v1/import", []string{"team=a&b"}, "/api/v1/import?extra_label=team%3Da%26b")
f("/api/v1/import?timeout=50", []string{"instance=host-2", "job=vmagent"}, "/api/v1/import?timeout=50&extra_label=instance=host-2&extra_label=job=vmagent")
}

View File

@@ -175,19 +175,13 @@ func (ctx *InsertCtx) WriteMetadata(mmpbs []prompb.MetricMetadata) error {
}
mms := ctx.mms
mms = slicesutil.SetLength(mms, len(mmpbs))
var cnt int
for _, mmpb := range mmpbs {
if timeserieslimits.IsMetricMetadataExceeding(&mmpb) {
continue
}
mm := &mms[cnt]
for idx, mmpb := range mmpbs {
mm := &mms[idx]
mm.MetricFamilyName = bytesutil.ToUnsafeBytes(mmpb.MetricFamilyName)
mm.Help = bytesutil.ToUnsafeBytes(mmpb.Help)
mm.Type = mmpb.Type
mm.Unit = bytesutil.ToUnsafeBytes(mmpb.Unit)
cnt++
}
mms = mms[:cnt]
ctx.mms = mms
err := vmstorage.VMInsertAPI.WriteMetadata(mms)
@@ -207,19 +201,14 @@ func (ctx *InsertCtx) WritePromMetadata(mmps []prometheus.Metadata) error {
}
mms := ctx.mms
mms = slicesutil.SetLength(mms, len(mmps))
var cnt int
for _, mmpb := range mmps {
mm := &mms[cnt]
if timeserieslimits.IsPrometheusMetadataExceeding(&mmpb) {
continue
}
for idx, mmpb := range mmps {
mm := &mms[idx]
mm.MetricFamilyName = bytesutil.ToUnsafeBytes(mmpb.Metric)
mm.Help = bytesutil.ToUnsafeBytes(mmpb.Help)
mm.Type = mmpb.Type
cnt++
}
mms = mms[:cnt]
ctx.mms = mms
err := vmstorage.VMInsertAPI.WriteMetadata(mms)
if err != nil {
return &httpserver.ErrorWithStatusCode{

View File

@@ -49,7 +49,7 @@ func InsertHandlerForHTTP(req *http.Request) error {
}
q := req.URL.Query()
precision := q.Get("precision")
// Read db tag from https://docs.influxdata.com/influxdb/v1/api/write/#operation/PostWrite
// Read db tag from https://docs.influxdata.com/influxdb/v1.7/tools/api/#write-http-endpoint
db := q.Get("db")
encoding := req.Header.Get("Content-Encoding")
isStreamMode := req.Header.Get("Stream-Mode") == "1"

View File

@@ -68,11 +68,9 @@ var (
"at -opentsdbHTTPListenAddr . See https://www.haproxy.org/download/1.8/doc/proxy-protocol.txt")
configAuthKey = flagutil.NewPassword("configAuthKey", "Authorization key for accessing /config page. It must be passed via authKey query arg. It overrides -httpAuth.*")
reloadAuthKey = flagutil.NewPassword("reloadAuthKey", "Auth key for /-/reload http endpoint. It must be passed via authKey query arg. It overrides httpAuth.* settings.")
maxLabelsPerTimeseries = flag.Int("maxLabelsPerTimeseries", 40, "The maximum number of labels per time series to be accepted. Series with superfluous labels are ignored. In this case the vm_rows_ignored_total{reason=\"too_many_labels\"} metric at /metrics page is incremented.")
maxLabelNameLen = flag.Int("maxLabelNameLen", 256, "The maximum length of label name in the accepted time series. Series with longer label name are ignored. In this case the vm_rows_ignored_total{reason=\"too_long_label_name\"} metric at /metrics page is incremented. "+
"Value must be in range 1..65535.")
maxLabelValueLen = flag.Int("maxLabelValueLen", 4*1024, "The maximum length of label values in the accepted time series. Series with longer label value are ignored. In this case the vm_rows_ignored_total{reason=\"too_long_label_value\"} metric at /metrics page is incremented. "+
"Value must be in range 1..65535.")
maxLabelsPerTimeseries = flag.Int("maxLabelsPerTimeseries", 40, "The maximum number of labels per time series to be accepted. Series with superfluous labels are ignored. In this case the vm_rows_ignored_total{reason=\"too_many_labels\"} metric at /metrics page is incremented")
maxLabelNameLen = flag.Int("maxLabelNameLen", 256, "The maximum length of label name in the accepted time series. Series with longer label name are ignored. In this case the vm_rows_ignored_total{reason=\"too_long_label_name\"} metric at /metrics page is incremented")
maxLabelValueLen = flag.Int("maxLabelValueLen", 4*1024, "The maximum length of label values in the accepted time series. Series with longer label value are ignored. In this case the vm_rows_ignored_total{reason=\"too_long_label_value\"} metric at /metrics page is incremented")
)
var (
@@ -108,7 +106,7 @@ func Init() {
promscrape.Init(func(_ *auth.Token, wr *prompb.WriteRequest) {
prompush.Push(wr)
})
timeserieslimits.MustInit(*maxLabelsPerTimeseries, *maxLabelNameLen, *maxLabelValueLen)
timeserieslimits.Init(*maxLabelsPerTimeseries, *maxLabelNameLen, *maxLabelValueLen)
}
// Stop stops vminsert.

View File

@@ -541,7 +541,7 @@ func handleStaticAndSimpleRequests(w http.ResponseWriter, r *http.Request, path
return true
case "/metric-relabel-debug":
promscrapeMetricRelabelDebugRequests.Inc()
promscrape.WriteMetricRelabelDebug(w, r, "", nil)
promscrape.WriteMetricRelabelDebug(w, r)
return true
case "/target-relabel-debug":
promscrapeTargetRelabelDebugRequests.Inc()

View File

@@ -956,7 +956,6 @@ func queryRangeHandler(qt *querytracer.Tracer, startTime time.Time, w http.Respo
start, end, step int64, r *http.Request, ct int64, etfs [][]storage.TagFilter) error {
deadline := searchutil.GetDeadlineForQuery(r, startTime)
mayCache := !httputil.GetBool(r, "nocache")
optimizeRepeatedBinaryOpSubexprs := httputil.GetBool(r, "optimize_repeated_binary_op_subexprs")
lookbackDelta, err := getMaxLookback(r)
if err != nil {
return err
@@ -978,19 +977,18 @@ func queryRangeHandler(qt *querytracer.Tracer, startTime time.Time, w http.Respo
}
ec := &promql.EvalConfig{
Start: start,
End: end,
Step: step,
MaxPointsPerSeries: *maxPointsPerTimeseries,
MaxSeries: 0, // let vmstorage use maxUniqueTimeseries by default
QuotedRemoteAddr: httpserver.GetQuotedRemoteAddr(r),
Deadline: deadline,
MayCache: mayCache,
OptimizeRepeatedBinaryOpSubexprs: optimizeRepeatedBinaryOpSubexprs,
LookbackDelta: lookbackDelta,
RoundDigits: getRoundDigits(r),
EnforcedTagFilterss: etfs,
CacheTagFilters: etfs,
Start: start,
End: end,
Step: step,
MaxPointsPerSeries: *maxPointsPerTimeseries,
MaxSeries: 0, // let vmstorage use maxUniqueTimeseries by default
QuotedRemoteAddr: httpserver.GetQuotedRemoteAddr(r),
Deadline: deadline,
MayCache: mayCache,
LookbackDelta: lookbackDelta,
RoundDigits: getRoundDigits(r),
EnforcedTagFilterss: etfs,
CacheTagFilters: etfs,
GetRequestURI: func() string {
return httpserver.GetRequestURI(r)
},

View File

@@ -164,21 +164,15 @@ func newBinaryOpFunc(bf func(left, right float64, isBool bool) float64) binaryOp
left := bfa.left
right := bfa.right
op := bfa.be.Op
isCmpOp := metricsql.IsBinaryOpCmp(op)
if !isCmpOp {
// Do not remove empty series for comparison operations, since NaN can be an
// explicitly present sample value. In particular, `value != NaN` is true.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/150.
switch true {
case metricsql.IsBinaryOpCmp(op):
// Do not remove empty series for comparison operations,
// since this may lead to missing result.
default:
left = removeEmptySeries(left)
right = removeEmptySeries(right)
}
if len(left) == 0 && len(right) == 0 {
return nil, nil
}
if len(left) == 0 && bfa.be.FillLeft == nil {
return nil, nil
}
if len(right) == 0 && bfa.be.FillRight == nil {
if len(left) == 0 || len(right) == 0 {
return nil, nil
}
left, right, dst, err := adjustBinaryOpTags(bfa.be, left, right)
@@ -189,16 +183,6 @@ func newBinaryOpFunc(bf func(left, right float64, isBool bool) float64) binaryOp
logger.Panicf("BUG: len(left) must match len(right) and len(dst); got %d vs %d vs %d", len(left), len(right), len(dst))
}
isBool := bfa.be.Bool
fillLeft := bfa.be.FillLeft
fillRight := bfa.be.FillRight
// A NaN produced by a vector comparison denotes a filtered-out sample rather
// than an explicitly present NaN value. Drop it when this result is used as
// the right-hand side of another comparison.
// Note that filtered-out samples surviving as NaN inside other wrappers such as
// transform functions or arithmetic operations aren't detected, since such NaN
// is indistinguishable from an explicitly present NaN value there.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/10018.
dropNaNRight := isCmpOp && isVectorComparisonExpr(bfa.be.Right)
for i, tsLeft := range left {
leftValues := tsLeft.Values
rightValues := right[i].Values
@@ -209,24 +193,6 @@ func newBinaryOpFunc(bf func(left, right float64, isBool bool) float64) binaryOp
}
for j, a := range leftValues {
b := rightValues[j]
leftIsNaN := math.IsNaN(a)
rightIsNaN := math.IsNaN(b)
// Both sides are NaN.
if leftIsNaN && rightIsNaN {
dstValues[j] = bf(a, b, isBool)
continue
}
if dropNaNRight && rightIsNaN && fillRight == nil {
dstValues[j] = nan
continue
}
// Apply the fill value when either the left or right side is NaN, but not both.
if leftIsNaN && fillLeft != nil {
a = fillLeft.N
}
if rightIsNaN && fillRight != nil {
b = fillRight.N
}
dstValues[j] = bf(a, b, isBool)
}
}
@@ -236,38 +202,6 @@ func newBinaryOpFunc(bf func(left, right float64, isBool bool) float64) binaryOp
}
}
// isVectorComparisonExpr returns whether e is a comparison operation
// with at least one non-scalar operand.
func isVectorComparisonExpr(e metricsql.Expr) bool {
if re, ok := e.(*metricsql.RollupExpr); ok && re.Window == nil {
// Unwrap `(...) offset <d>` and `(...) @ <t>`, which do not change
// the shape of the result. Subqueries are left as is, since rollup
// functions skip NaN values on their own.
e = re.Expr
}
be, ok := e.(*metricsql.BinaryOpExpr)
if !ok || !metricsql.IsBinaryOpCmp(be.Op) {
return false
}
return !isScalarLikeExpr(be.Left) || !isScalarLikeExpr(be.Right)
}
// isScalarLikeExpr returns whether e always evaluates to a scalar value.
func isScalarLikeExpr(e metricsql.Expr) bool {
switch e := e.(type) {
case *metricsql.NumberExpr, *metricsql.DurationExpr:
return true
case *metricsql.BinaryOpExpr:
return isScalarLikeExpr(e.Left) && isScalarLikeExpr(e.Right)
case *metricsql.FuncExpr:
switch strings.ToLower(e.Name) {
case "now", "pi", "scalar", "start", "end", "step", "time", "timezone_offset":
return true
}
}
return false
}
func adjustBinaryOpTags(be *metricsql.BinaryOpExpr, left, right []*timeseries) ([]*timeseries, []*timeseries, []*timeseries, error) {
if len(be.GroupModifier.Op) == 0 && len(be.JoinModifier.Op) == 0 {
if isScalar(left) {
@@ -292,7 +226,7 @@ func adjustBinaryOpTags(be *metricsql.BinaryOpExpr, left, right []*timeseries) (
}
}
// Slow path: `vector op vector` or `a op {on|ignoring} {group_left|group_right} {fill|fill_left|fill_right} b`
// Slow path: `vector op vector` or `a op {on|ignoring} {group_left|group_right} b`
var rvsLeft, rvsRight []*timeseries
mLeft, mRight := createTimeseriesMapByTagSet(be, left, right)
joinOp := strings.ToLower(be.JoinModifier.Op)
@@ -305,27 +239,10 @@ func adjustBinaryOpTags(be *metricsql.BinaryOpExpr, left, right []*timeseries) (
// Add __name__ to groupTags if metric name must be preserved.
groupTags = append(groupTags[:len(groupTags):len(groupTags)], "__name__")
}
// Add missing keys from mRight to mLeft when fill_left()/fill() modifier is used
if be.FillLeft != nil {
for k := range mRight {
if _, ok := mLeft[k]; !ok {
mLeft[k] = nil
}
}
}
for k, tssLeft := range mLeft {
tssRight := mRight[k]
if len(tssLeft) == 0 {
if be.FillLeft == nil {
logger.Panicf("BUG: unexpected empty tssLeft for key %q when FillLeft is nil", k)
}
tssLeft = []*timeseries{newFillTimeseries(be, tssRight[0])}
}
if len(tssRight) == 0 {
if be.FillRight == nil {
continue
}
tssRight = []*timeseries{newFillTimeseries(be, tssLeft[0])}
continue
}
switch joinOp {
case "group_left":
@@ -370,28 +287,6 @@ func adjustBinaryOpTags(be *metricsql.BinaryOpExpr, left, right []*timeseries) (
return rvsLeft, rvsRight, dst, nil
}
// newFillTimeseries returns a time series filled with NaN values for the fill_left()/fill_right()/fill() modifiers.
// These NaN values will be replaced later with the fill value if needed.
func newFillTimeseries(be *metricsql.BinaryOpExpr, src *timeseries) *timeseries {
var ts timeseries
ts.CopyFromShallowTimestamps(src)
if !be.KeepMetricNames {
ts.MetricName.ResetMetricGroup()
}
groupTags := be.GroupModifier.Args
switch strings.ToLower(be.GroupModifier.Op) {
case "on":
ts.MetricName.RemoveTagsOn(groupTags)
default:
ts.MetricName.RemoveTagsIgnoring(groupTags)
}
values := ts.Values
for i := range values {
values[i] = math.NaN()
}
return &ts
}
func ensureSingleTimeseries(side string, be *metricsql.BinaryOpExpr, tss []*timeseries) error {
if len(tss) == 0 {
logger.Panicf("BUG: tss must contain at least one value")

View File

@@ -132,9 +132,6 @@ type EvalConfig struct {
// Whether the response can be cached.
MayCache bool
// Whether repeated cacheable binary op subexpressions can be optimized.
OptimizeRepeatedBinaryOpSubexprs bool
// LookbackDelta is analog to `-query.lookback-delta` from Prometheus.
LookbackDelta int64
@@ -174,7 +171,6 @@ func copyEvalConfig(src *EvalConfig) *EvalConfig {
ec.MaxPointsPerSeries = src.MaxPointsPerSeries
ec.Deadline = src.Deadline
ec.MayCache = src.MayCache
ec.OptimizeRepeatedBinaryOpSubexprs = src.OptimizeRepeatedBinaryOpSubexprs
ec.LookbackDelta = src.LookbackDelta
ec.RoundDigits = src.RoundDigits
ec.EnforcedTagFilterss = src.EnforcedTagFilterss
@@ -424,7 +420,18 @@ func evalBinaryOp(qt *querytracer.Tracer, ec *EvalConfig, be *metricsql.BinaryOp
if bf == nil {
return nil, fmt.Errorf(`unknown binary op %q`, be.Op)
}
tssLeft, tssRight, err := execBinaryOpArgs(qt, ec, be)
var err error
var tssLeft, tssRight []*timeseries
switch strings.ToLower(be.Op) {
case "and", "if":
// Fetch right-side series at first, since it usually contains
// lower number of time series for `and` and `if` operator.
// This should produce more specific label filters for the left side of the query.
// This, in turn, should reduce the time to select series for the left side of the query.
tssRight, tssLeft, err = execBinaryOpArgs(qt, ec, be.Right, be.Left, be)
default:
tssLeft, tssRight, err = execBinaryOpArgs(qt, ec, be.Left, be.Right, be)
}
if err != nil {
return nil, fmt.Errorf("cannot execute %q: %w", be.AppendString(nil), err)
}
@@ -440,29 +447,6 @@ func evalBinaryOp(qt *querytracer.Tracer, ec *EvalConfig, be *metricsql.BinaryOp
return rv, nil
}
// binaryOpEvalOrder might change the order of evaluation of the left and right sides of a binary operation,
// when there is chance to push down common label filters from exprFirst to exprSecond in the following executions.
func binaryOpEvalOrder(be *metricsql.BinaryOpExpr) (exprFirst, exprSecond metricsql.Expr) {
exprFirst, exprSecond = be.Left, be.Right
switch strings.ToLower(be.Op) {
case "and", "if":
// For `and` and `if`, fetch the right-side series first, since it usually contains
// fewer time series and yields more specific filters for the left side.
exprFirst, exprSecond = be.Right, be.Left
}
if be.FillLeft != nil && be.FillRight == nil {
// For `fill_left(<value>)`, the unmatched series can only come from the right side, so evaluate it first.
exprFirst, exprSecond = be.Right, be.Left
}
return exprFirst, exprSecond
}
// canPushdownCommonFilters decides if common label filters can be pushed down from one side of a binary operation to the other.
//
// Common filters cannot be pushed down when:
// - the operator is `or` or `default`;
// - either side is an aggregation function without explicit grouping;
// - fill(<value>) modifier is used.
func canPushdownCommonFilters(be *metricsql.BinaryOpExpr) bool {
switch strings.ToLower(be.Op) {
case "or", "default":
@@ -471,10 +455,6 @@ func canPushdownCommonFilters(be *metricsql.BinaryOpExpr) bool {
if isAggrFuncWithoutGrouping(be.Left) || isAggrFuncWithoutGrouping(be.Right) {
return false
}
// Filters cannot be propagated when fill(<value>) modifier is used.
if be.FillLeft != nil && be.FillRight != nil {
return false
}
return true
}
@@ -486,185 +466,82 @@ func isAggrFuncWithoutGrouping(e metricsql.Expr) bool {
return len(afe.Modifier.Args) == 0
}
func execBinaryOpArgs(qt *querytracer.Tracer, ec *EvalConfig, be *metricsql.BinaryOpExpr) ([]*timeseries, []*timeseries, error) {
exprFirst, exprSecond := binaryOpEvalOrder(be)
firstIsLeft := exprFirst == be.Left
sortResult := func(tssFirst, tssSecond []*timeseries) ([]*timeseries, []*timeseries, error) {
if firstIsLeft {
return tssFirst, tssSecond, nil
}
return tssSecond, tssFirst, nil
}
if canPushdownCommonFilters(be) {
// Execute binary operation in the following way:
//
// 1) execute the exprFirst
// 2) get common label filters for series returned at step 1
// 3) push down the found common label filters to exprSecond. This filters out unneeded series
// during exprSecond execution instead of spending compute resources on extracting and processing these series
// before they are dropped later when matching time series according to https://prometheus.io/docs/prometheus/latest/querying/operators/#vector-matching
// 4) execute the exprSecond with possible additional filters found at step 3
//
// Typical use cases:
// - Kubernetes-related: show pod creation time with the node name:
//
// kube_pod_created{namespace="prod"} * on (uid) group_left(node) kube_pod_info
//
// Without the optimization `kube_pod_info` would select and spend compute resources
// for more time series than needed. The selected time series would be dropped later
// when matching time series on the right and left sides of binary operand.
//
// - Generic alerting queries, which rely on `info` metrics.
// See https://grafana.com/blog/2021/08/04/how-to-use-promql-joins-for-more-effective-queries-of-prometheus-metrics-at-scale/
//
// - Queries, which get additional labels from `info` metrics.
// See https://www.robustperception.io/exposing-the-software-version-to-prometheus
tssFirst, err := evalExpr(qt, ec, exprFirst)
if err != nil {
return nil, nil, err
}
if len(tssFirst) == 0 && !strings.EqualFold(be.Op, "or") {
// Fast path: there is no sense in executing the exprSecond when exprFirst returns an empty result,
// since the "exprFirst op exprSecond" would return an empty result in any case.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3349
return nil, nil, nil
}
lfs := getCommonLabelFilters(tssFirst)
lfs = metricsql.TrimFiltersByGroupModifier(lfs, be)
exprSecond = metricsql.PushdownBinaryOpFilters(exprSecond, lfs)
tssSecond, err := evalExpr(qt, ec, exprSecond)
if err != nil {
return nil, nil, err
}
return sortResult(tssFirst, tssSecond)
}
// Execute exprFirst and exprSecond sequentially if there are cacheable repeated subexpressions
// in exprFirst and exprSecond.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/10575
if shouldOptimizeRepeatedBinaryOpSubexprs(ec, exprFirst, exprSecond) {
qt = qt.NewChild("execute left and right sides of %q sequentially because repeated cacheable subexpression was found", be.Op)
func execBinaryOpArgs(qt *querytracer.Tracer, ec *EvalConfig, exprFirst, exprSecond metricsql.Expr, be *metricsql.BinaryOpExpr) ([]*timeseries, []*timeseries, error) {
if !canPushdownCommonFilters(be) {
// Execute exprFirst and exprSecond in parallel, since it is impossible to pushdown common filters
// from exprFirst to exprSecond.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2886
qt = qt.NewChild("execute left and right sides of %q in parallel", be.Op)
defer qt.Done()
var wg sync.WaitGroup
var tssFirst []*timeseries
var errFirst error
qtFirst := qt.NewChild("expr1")
tssFirst, err := evalExpr(qtFirst, ec, exprFirst)
qtFirst.Done()
if err != nil {
return nil, nil, err
}
wg.Go(func() {
tssFirst, errFirst = evalExpr(qtFirst, ec, exprFirst)
qtFirst.Done()
})
var tssSecond []*timeseries
var errSecond error
qtSecond := qt.NewChild("expr2")
tssSecond, err := evalExpr(qtSecond, ec, exprSecond)
qtSecond.Done()
if err != nil {
return nil, nil, err
wg.Go(func() {
tssSecond, errSecond = evalExpr(qtSecond, ec, exprSecond)
qtSecond.Done()
})
wg.Wait()
if errFirst != nil {
return nil, nil, errFirst
}
if errSecond != nil {
return nil, nil, errSecond
}
return tssFirst, tssSecond, nil
}
// Execute exprFirst and exprSecond in parallel, since it is impossible to pushdown common filters
// from exprFirst to exprSecond.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2886
qt = qt.NewChild("execute left and right sides of %q in parallel", be.Op)
defer qt.Done()
var wg sync.WaitGroup
var tssFirst []*timeseries
var errFirst error
qtFirst := qt.NewChild("expr1")
wg.Go(func() {
tssFirst, errFirst = evalExpr(qtFirst, ec, exprFirst)
qtFirst.Done()
})
var tssSecond []*timeseries
var errSecond error
qtSecond := qt.NewChild("expr2")
wg.Go(func() {
tssSecond, errSecond = evalExpr(qtSecond, ec, exprSecond)
qtSecond.Done()
})
wg.Wait()
if errFirst != nil {
return nil, nil, errFirst
// Execute binary operation in the following way:
//
// 1) execute the exprFirst
// 2) get common label filters for series returned at step 1
// 3) push down the found common label filters to exprSecond. This filters out unneeded series
// during exprSecond execution instead of spending compute resources on extracting and processing these series
// before they are dropped later when matching time series according to https://prometheus.io/docs/prometheus/latest/querying/operators/#vector-matching
// 4) execute the exprSecond with possible additional filters found at step 3
//
// Typical use cases:
// - Kubernetes-related: show pod creation time with the node name:
//
// kube_pod_created{namespace="prod"} * on (uid) group_left(node) kube_pod_info
//
// Without the optimization `kube_pod_info` would select and spend compute resources
// for more time series than needed. The selected time series would be dropped later
// when matching time series on the right and left sides of binary operand.
//
// - Generic alerting queries, which rely on `info` metrics.
// See https://grafana.com/blog/2021/08/04/how-to-use-promql-joins-for-more-effective-queries-of-prometheus-metrics-at-scale/
//
// - Queries, which get additional labels from `info` metrics.
// See https://www.robustperception.io/exposing-the-software-version-to-prometheus
tssFirst, err := evalExpr(qt, ec, exprFirst)
if err != nil {
return nil, nil, err
}
if errSecond != nil {
return nil, nil, errSecond
if len(tssFirst) == 0 && !strings.EqualFold(be.Op, "or") {
// Fast path: there is no sense in executing the exprSecond when exprFirst returns an empty result,
// since the "exprFirst op exprSecond" would return an empty result in any case.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3349
return nil, nil, nil
}
return sortResult(tssFirst, tssSecond)
}
func shouldOptimizeRepeatedBinaryOpSubexprs(ec *EvalConfig, exprFirst, exprSecond metricsql.Expr) bool {
if !ec.OptimizeRepeatedBinaryOpSubexprs {
return false
lfs := getCommonLabelFilters(tssFirst)
lfs = metricsql.TrimFiltersByGroupModifier(lfs, be)
exprSecond = metricsql.PushdownBinaryOpFilters(exprSecond, lfs)
tssSecond, err := evalExpr(qt, ec, exprSecond)
if err != nil {
return nil, nil, err
}
if ec.Start == ec.End {
return false
}
if !ec.mayCache() {
return false
}
candidatesFirst := make(map[string]struct{}, 1)
var b []byte
visitOptimizedAggrs(exprFirst, func(ae *metricsql.AggrFuncExpr) {
if hasUnseededVolatileFunc(ae) {
return
}
b = ae.AppendString(b[:0])
candidatesFirst[string(b)] = struct{}{}
})
if len(candidatesFirst) == 0 {
return false
}
repeated := false
visitOptimizedAggrs(exprSecond, func(ae *metricsql.AggrFuncExpr) {
if repeated {
return
}
b = ae.AppendString(b[:0])
_, repeated = candidatesFirst[string(b)]
})
return repeated
}
func visitOptimizedAggrs(e metricsql.Expr, f func(ae *metricsql.AggrFuncExpr)) {
metricsql.VisitAll(e, func(expr metricsql.Expr) {
ae, ok := expr.(*metricsql.AggrFuncExpr)
if !ok {
return
}
if getIncrementalAggrFuncCallbacks(ae.Name) == nil {
return
}
fe, _ := tryGetArgRollupFuncWithMetricExpr(ae)
if fe == nil {
return
}
f(ae)
})
}
func hasUnseededVolatileFunc(e metricsql.Expr) bool {
found := false
metricsql.VisitAll(e, func(expr metricsql.Expr) {
if found {
return
}
fe, ok := expr.(*metricsql.FuncExpr)
if !ok {
return
}
switch strings.ToLower(fe.Name) {
case "now":
found = true
case "rand", "rand_normal", "rand_exponential":
found = len(fe.Args) == 0
}
})
return found
return tssFirst, tssSecond, nil
}
func getCommonLabelFilters(tss []*timeseries) []metricsql.LabelFilter {

View File

@@ -170,87 +170,3 @@ func TestGetSumInstantValues(t *testing.T) {
[]*timeseries{ts("foo", 100, 1)},
)
}
func TestShouldOptimizeRepeatedBinaryOpSubexprsGate(t *testing.T) {
e, err := metricsql.Parse(`count(count(vm_requests_total) by (action,addr,cluster,endpoint)) by (action,addr,cluster) / count(count(vm_requests_total) by (action,addr,cluster,endpoint))`)
if err != nil {
t.Fatalf("unexpected error in metricsql.Parse(): %s", err)
}
be, ok := e.(*metricsql.BinaryOpExpr)
if !ok {
t.Fatalf("unexpected expr type; got %T; want *metricsql.BinaryOpExpr", e)
}
f := func(name string, ec *EvalConfig, resultExpected bool) {
t.Helper()
result := shouldOptimizeRepeatedBinaryOpSubexprs(ec, be.Left, be.Right)
if result != resultExpected {
t.Fatalf("unexpected result for %q; got %v; want %v", name, result, resultExpected)
}
}
f("disabled optimization", &EvalConfig{
Start: 1000,
End: 2000,
Step: 1000,
}, false)
f("disabled cache", &EvalConfig{
Start: 1000,
End: 2000,
Step: 1000,
OptimizeRepeatedBinaryOpSubexprs: true,
}, false)
f("instant query", &EvalConfig{
Start: 1000,
End: 1000,
Step: 1000,
MayCache: true,
OptimizeRepeatedBinaryOpSubexprs: true,
}, false)
f("repeated cacheable aggregate subexpression", &EvalConfig{
Start: 1000,
End: 2000,
Step: 1000,
MayCache: true,
OptimizeRepeatedBinaryOpSubexprs: true,
}, true)
f("unaligned range query", &EvalConfig{
Start: 1001,
End: 2000,
Step: 1000,
MayCache: true,
OptimizeRepeatedBinaryOpSubexprs: true,
}, false)
}
func TestShouldOptimizeRepeatedBinaryOpSubexprsExpressions(t *testing.T) {
f := func(name, q string, resultExpected bool) {
t.Helper()
e, err := metricsql.Parse(q)
if err != nil {
t.Fatalf("unexpected error in metricsql.Parse(%q) for %q: %s", q, name, err)
}
be, ok := e.(*metricsql.BinaryOpExpr)
if !ok {
t.Fatalf("unexpected expr type for %q; got %T; want *metricsql.BinaryOpExpr", name, e)
}
ec := &EvalConfig{Start: 1000, End: 2000, Step: 1000, MayCache: true, OptimizeRepeatedBinaryOpSubexprs: true}
result := shouldOptimizeRepeatedBinaryOpSubexprs(ec, be.Left, be.Right)
if result != resultExpected {
t.Fatalf("unexpected result for %q; got %v; want %v; query: %q", name, result, resultExpected, q)
}
}
f("original issue query", `count(count(vm_requests_total) by (action,addr,cluster,endpoint)) by (action,addr,cluster) / count(count(vm_requests_total) by (action,addr,cluster,endpoint))`, true)
f("right side contains repeated count aggregate", `count(foo) by (job) / (count(foo) by (job) + 1)`, true)
f("same sum aggregate", `sum(rate(foo[5m])) by (job) / sum(rate(foo[5m])) by (job)`, true)
f("same inner rollup but different aggregates", `sum(rate(foo[5m])) by (job) / count(rate(foo[5m])) by (job)`, false)
f("different count aggregates", `count(foo) by (job) / count(bar) by (job)`, false)
f("bare metric selector", `foo / foo`, false)
f("bare rollup function", `rate(a[5m]) / rate(a[5m])`, false)
f("now at modifier", `sum(rate(foo[5m] @ now())) by (job) / sum(rate(foo[5m] @ now())) by (job)`, false)
f("unseeded rand at modifier", `sum(rate(foo[5m] @ rand())) by (job) / sum(rate(foo[5m] @ rand())) by (job)`, false)
f("unseeded rand_normal at modifier", `sum(rate(foo[5m] @ rand_normal())) by (job) / sum(rate(foo[5m] @ rand_normal())) by (job)`, false)
f("unseeded rand_exponential at modifier", `sum(rate(foo[5m] @ rand_exponential())) by (job) / sum(rate(foo[5m] @ rand_exponential())) by (job)`, false)
f("seeded rand at modifier", `sum(rate(foo[5m] @ rand(1))) by (job) / sum(rate(foo[5m] @ rand(1))) by (job)`, true)
}

View File

@@ -2994,136 +2994,6 @@ func TestExecSuccess(t *testing.T) {
resultExpected := []netstorage.Result{}
f(q, resultExpected)
})
t.Run(`compare_to_nan_left_vector_right_scalar`, func(t *testing.T) {
t.Parallel()
q := `label_set(time(), "foo", "bar") != NaN`
r := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{1000, 1200, 1400, 1600, 1800, 2000},
Timestamps: timestampsExpected,
}
r.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("bar"),
}}
resultExpected := []netstorage.Result{r}
f(q, resultExpected)
})
t.Run(`compare_to_non_nan_scalar_right`, func(t *testing.T) {
t.Parallel()
q := `label_set(time(), "foo", "bar") != 1200`
r := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{1000, nan, 1400, 1600, 1800, 2000},
Timestamps: timestampsExpected,
}
r.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("bar"),
}}
resultExpected := []netstorage.Result{r}
f(q, resultExpected)
})
t.Run(`compare_to_nan_vector_right`, func(t *testing.T) {
t.Parallel()
q := `label_set(time(), "foo", "bar") != label_set(NaN, "foo", "bar")`
r := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{1000, 1200, 1400, 1600, 1800, 2000},
Timestamps: timestampsExpected,
}
r.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("bar"),
}}
resultExpected := []netstorage.Result{r}
f(q, resultExpected)
})
t.Run(`compare_to_nan_scalar_comparison_right`, func(t *testing.T) {
t.Parallel()
q := `label_set(time(), "foo", "bar") != (1 > 2)`
r := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{1000, 1200, 1400, 1600, 1800, 2000},
Timestamps: timestampsExpected,
}
r.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("bar"),
}}
resultExpected := []netstorage.Result{r}
f(q, resultExpected)
})
t.Run(`compare_to_empty_vector_right`, func(t *testing.T) {
t.Parallel()
q := `label_set(time(), "foo", "bar") != (label_set(time(), "foo", "bar") > 100000)`
resultExpected := []netstorage.Result{}
f(q, resultExpected)
})
t.Run(`compare_to_empty_vector_right_offset`, func(t *testing.T) {
t.Parallel()
q := `label_set(time(), "foo", "bar") != ((label_set(time(), "foo", "bar") > 100000) offset 0s)`
resultExpected := []netstorage.Result{}
f(q, resultExpected)
})
t.Run(`compare_to_empty_vector_left`, func(t *testing.T) {
// A missing sample on the left side results in NaN for every comparison
// operation, so no special handling is needed there.
t.Parallel()
q := `(label_set(time(), "foo", "bar") > 100000) != label_set(time(), "foo", "bar")`
resultExpected := []netstorage.Result{}
f(q, resultExpected)
})
t.Run(`compare_to_empty_series_right_bool`, func(t *testing.T) {
t.Parallel()
q := `label_set(time(), "foo", "bar") == bool (label_set(time(), "foo", "bar") > 100000)`
resultExpected := []netstorage.Result{}
f(q, resultExpected)
})
t.Run(`compare_to_partially_empty_series_right`, func(t *testing.T) {
// Prometheus drops the timestamps filtered out by the comparison on the right.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/11100#issuecomment-4933952390.
t.Parallel()
q := `label_set(time(), "foo", "bar") != (label_set(time(), "foo", "bar") * 2 > 2800)`
r := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{nan, nan, nan, 1600, 1800, 2000},
Timestamps: timestampsExpected,
}
r.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("bar"),
}}
resultExpected := []netstorage.Result{r}
f(q, resultExpected)
})
t.Run(`compare_to_empty_unlabeled_vector_right`, func(t *testing.T) {
t.Parallel()
q := `sum(label_set(time(), "foo", "bar")) != (sum(label_set(time(), "foo", "bar")) > 100000)`
resultExpected := []netstorage.Result{}
f(q, resultExpected)
})
t.Run(`compare_to_empty_series_right_with_fill_left`, func(t *testing.T) {
t.Parallel()
q := `label_set(time(), "foo", "bar") != fill_left(0) (label_set(time(), "foo", "bar") > 100000)`
resultExpected := []netstorage.Result{}
f(q, resultExpected)
})
t.Run(`compare_to_empty_series_right_with_fill_right`, func(t *testing.T) {
t.Parallel()
q := `label_set(time(), "foo", "bar") != fill_right(0) (label_set(time(), "foo", "bar") > 100000)`
r := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{1000, 1200, 1400, 1600, 1800, 2000},
Timestamps: timestampsExpected,
}
r.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("bar"),
}}
resultExpected := []netstorage.Result{r}
f(q, resultExpected)
})
t.Run(`-1 < 2`, func(t *testing.T) {
t.Parallel()
q := `-1 < 2`
@@ -4136,275 +4006,6 @@ func TestExecSuccess(t *testing.T) {
resultExpected := []netstorage.Result{r1, r2}
f(q, resultExpected)
})
t.Run(`vector + vector fill()`, func(t *testing.T) {
t.Parallel()
q := `sort_by_label((
label_set(1, "foo", "common")
or label_set(2, "foo", "left_only")
) + fill(0) (
label_set(3, "foo", "common")
or label_set(4, "foo", "right_only")
), "foo")`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{4, 4, 4, 4, 4, 4},
Timestamps: timestampsExpected,
}
r1.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("common"),
}}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{2, 2, 2, 2, 2, 2},
Timestamps: timestampsExpected,
}
r2.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("left_only"),
}}
r3 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{4, 4, 4, 4, 4, 4},
Timestamps: timestampsExpected,
}
r3.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("right_only"),
}}
resultExpected := []netstorage.Result{r1, r2, r3}
f(q, resultExpected)
})
t.Run(`vector + vector fill() both sides NaN case`, func(t *testing.T) {
t.Parallel()
q := `(
label_set(time() <= 1200, "foo", "common")
) + fill(10) (
label_set(time() >= 1600, "foo", "common")
)`
r := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{1010, 1210, nan, 1610, 1810, 2010},
Timestamps: timestampsExpected,
}
r.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("common"),
}}
resultExpected := []netstorage.Result{r}
f(q, resultExpected)
})
t.Run(`vector + vector fill_left() fill_right()`, func(t *testing.T) {
t.Parallel()
q := `sort_by_label((
label_set(1, "foo", "common")
or label_set(2, "foo", "left_only")
) + fill_left(10) fill_right(20) (
label_set(3, "foo", "common")
or label_set(4, "foo", "right_only")
), "foo")`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{4, 4, 4, 4, 4, 4},
Timestamps: timestampsExpected,
}
r1.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("common"),
}}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{22, 22, 22, 22, 22, 22},
Timestamps: timestampsExpected,
}
r2.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("left_only"),
}}
r3 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{14, 14, 14, 14, 14, 14},
Timestamps: timestampsExpected,
}
r3.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("right_only"),
}}
resultExpected := []netstorage.Result{r1, r2, r3}
f(q, resultExpected)
})
t.Run(`vector + vector fill_right() only`, func(t *testing.T) {
t.Parallel()
q := `sort_by_label((
label_set(1, "foo", "common")
or label_set(2, "foo", "left_only")
) + fill_right(20) (
label_set(3, "foo", "common")
or label_set(4, "foo", "right_only")
), "foo")`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{4, 4, 4, 4, 4, 4},
Timestamps: timestampsExpected,
}
r1.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("common"),
}}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{22, 22, 22, 22, 22, 22},
Timestamps: timestampsExpected,
}
r2.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("left_only"),
}}
resultExpected := []netstorage.Result{r1, r2}
f(q, resultExpected)
})
t.Run(`vector + vector on() fill()`, func(t *testing.T) {
t.Parallel()
q := `sort_by_label((
label_set(1, "foo", "common", "extra", "l")
or label_set(2, "foo", "left_only", "extra", "l")
) + on(foo) fill(0) (
label_set(3, "foo", "common", "extra", "r")
or label_set(4, "foo", "right_only", "extra", "r")
), "foo")`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{4, 4, 4, 4, 4, 4},
Timestamps: timestampsExpected,
}
r1.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("common"),
}}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{2, 2, 2, 2, 2, 2},
Timestamps: timestampsExpected,
}
r2.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("left_only"),
}}
r3 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{4, 4, 4, 4, 4, 4},
Timestamps: timestampsExpected,
}
r3.MetricName.Tags = []storage.Tag{{
Key: []byte("foo"),
Value: []byte("right_only"),
}}
resultExpected := []netstorage.Result{r1, r2, r3}
f(q, resultExpected)
})
t.Run(`vector + vector on() group_left() fill_right()`, func(t *testing.T) {
t.Parallel()
q := `sort_by_label((
label_set(1, "method", "get", "code", "500")
or label_set(2, "method", "get", "code", "404")
or label_set(3, "method", "put", "code", "501")
) + on(method) group_left() fill_right(0) (
label_set(10, "method", "get")
), "method", "code")`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{12, 12, 12, 12, 12, 12},
Timestamps: timestampsExpected,
}
r1.MetricName.Tags = []storage.Tag{
{
Key: []byte("code"),
Value: []byte("404"),
},
{
Key: []byte("method"),
Value: []byte("get"),
},
}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{11, 11, 11, 11, 11, 11},
Timestamps: timestampsExpected,
}
r2.MetricName.Tags = []storage.Tag{
{
Key: []byte("code"),
Value: []byte("500"),
},
{
Key: []byte("method"),
Value: []byte("get"),
},
}
r3 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{3, 3, 3, 3, 3, 3},
Timestamps: timestampsExpected,
}
r3.MetricName.Tags = []storage.Tag{
{
Key: []byte("code"),
Value: []byte("501"),
},
{
Key: []byte("method"),
Value: []byte("put"),
},
}
resultExpected := []netstorage.Result{r1, r2, r3}
f(q, resultExpected)
})
t.Run(`vector / vector ignoring() fill()`, func(t *testing.T) {
t.Parallel()
q := `sort_by_label((
label_set(6, "method", "get", "code", "500")
or label_set(1, "method", "put", "code", "500")
) / ignoring(code) fill(0) (
label_set(12, "method", "get")
or label_set(5, "method", "post")
or label_set(10, "method", "put")
), "method")`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{0.5, 0.5, 0.5, 0.5, 0.5, 0.5},
Timestamps: timestampsExpected,
}
r1.MetricName.Tags = []storage.Tag{
{
Key: []byte("method"),
Value: []byte("get"),
},
}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{0, 0, 0, 0, 0, 0},
Timestamps: timestampsExpected,
}
r2.MetricName.Tags = []storage.Tag{
{
Key: []byte("method"),
Value: []byte("post"),
},
}
r3 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{0.1, 0.1, 0.1, 0.1, 0.1, 0.1},
Timestamps: timestampsExpected,
}
r3.MetricName.Tags = []storage.Tag{
{
Key: []byte("method"),
Value: []byte("put"),
},
}
resultExpected := []netstorage.Result{r1, r2, r3}
f(q, resultExpected)
})
t.Run(`histogram_quantile(scalar)`, func(t *testing.T) {
t.Parallel()
q := `histogram_quantile(0.6, time())`
@@ -5232,137 +4833,13 @@ func TestExecSuccess(t *testing.T) {
resultExpected := []netstorage.Result{}
f(q, resultExpected)
})
// buckets that are consecutively empty at left and right ends will not be preserved.
t.Run(`buckets_limit(trim_zero_preserve_empty_when_limit_not_reached)`, func(t *testing.T) {
t.Run(`buckets_limit(zero)`, func(t *testing.T) {
t.Parallel()
q := `sort(buckets_limit(3, (
alias(label_set(36, "le", "+Inf"), "metric"),
alias(label_set(36, "le", "25"), "metric"),
alias(label_set(36, "le", "21"), "metric"),
alias(label_set(36, "le", "19"), "metric"),
alias(label_set(36, "le", "18"), "metric"),
alias(label_set(36, "le", "17"), "metric"),
alias(label_set(36, "le", "16"), "metric"),
alias(label_set(27, "le", "12"), "metric"),
alias(label_set(14, "le", "9"), "metric"),
alias(label_set(0, "le", "6"), "metric"),
alias(label_set(0, "le", "1"), "metric"),
)))`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{14, 14, 14, 14, 14, 14},
Timestamps: timestampsExpected,
}
r1.MetricName.MetricGroup = []byte("metric")
r1.MetricName.Tags = []storage.Tag{
{
Key: []byte("le"),
Value: []byte("9"),
},
}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{27, 27, 27, 27, 27, 27},
Timestamps: timestampsExpected,
}
r2.MetricName.MetricGroup = []byte("metric")
r2.MetricName.Tags = []storage.Tag{
{
Key: []byte("le"),
Value: []byte("12"),
},
}
r3 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{36, 36, 36, 36, 36, 36},
Timestamps: timestampsExpected,
}
r3.MetricName.MetricGroup = []byte("metric")
r3.MetricName.Tags = []storage.Tag{
{
Key: []byte("le"),
Value: []byte("16"),
},
}
resultExpected := []netstorage.Result{r1, r2, r3}
f(q, resultExpected)
})
// the number of non-empty bucket doesn't reach the given "limit", so some empty buckets will be preserved, and left buckets are preferred to be kept.
t.Run(`buckets_limit(trim_zero)`, func(t *testing.T) {
t.Parallel()
q := `sort(buckets_limit(5, (
alias(label_set(36, "le", "18"), "metric"),
alias(label_set(36, "le", "17"), "metric"),
alias(label_set(36, "le", "16"), "metric"),
alias(label_set(27, "le", "12"), "metric"),
alias(label_set(14, "le", "9"), "metric"),
alias(label_set(0, "le", "6"), "metric"),
alias(label_set(0, "le", "1"), "metric"),
)))`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{0, 0, 0, 0, 0, 0},
Timestamps: timestampsExpected,
}
r1.MetricName.MetricGroup = []byte("metric")
r1.MetricName.Tags = []storage.Tag{
{
Key: []byte("le"),
Value: []byte("1"),
},
}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{0, 0, 0, 0, 0, 0},
Timestamps: timestampsExpected,
}
r2.MetricName.MetricGroup = []byte("metric")
r2.MetricName.Tags = []storage.Tag{
{
Key: []byte("le"),
Value: []byte("6"),
},
}
r3 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{14, 14, 14, 14, 14, 14},
Timestamps: timestampsExpected,
}
r3.MetricName.MetricGroup = []byte("metric")
r3.MetricName.Tags = []storage.Tag{
{
Key: []byte("le"),
Value: []byte("9"),
},
}
r4 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{27, 27, 27, 27, 27, 27},
Timestamps: timestampsExpected,
}
r4.MetricName.MetricGroup = []byte("metric")
r4.MetricName.Tags = []storage.Tag{
{
Key: []byte("le"),
Value: []byte("12"),
},
}
r5 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{36, 36, 36, 36, 36, 36},
Timestamps: timestampsExpected,
}
r5.MetricName.MetricGroup = []byte("metric")
r5.MetricName.Tags = []storage.Tag{
{
Key: []byte("le"),
Value: []byte("16"),
},
}
resultExpected := []netstorage.Result{r1, r2, r3, r4, r5}
q := `buckets_limit(0, (
alias(label_set(100, "le", "inf", "x", "y"), "metric"),
alias(label_set(50, "le", "120", "x", "y"), "metric"),
))`
resultExpected := []netstorage.Result{}
f(q, resultExpected)
})
t.Run(`buckets_limit(unused)`, func(t *testing.T) {
@@ -6751,6 +6228,50 @@ func TestExecSuccess(t *testing.T) {
resultExpected := []netstorage.Result{r1, r2, r3, r4, r5, r6, r7}
f(q, resultExpected)
})
t.Run(`sum(histogram_over_time) by (vmrange)`, func(t *testing.T) {
t.Parallel()
q := `sort_by_label(
buckets_limit(
3,
sum(histogram_over_time(alias(label_set(rand(0)*1.3+1.1, "foo", "bar"), "xxx")[200s:5s])) by (vmrange)
), "le"
)`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{40, 40, 40, 40, 40, 40},
Timestamps: timestampsExpected,
}
r1.MetricName.Tags = []storage.Tag{
{
Key: []byte("le"),
Value: []byte("+Inf"),
},
}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{0, 0, 0, 0, 0, 0},
Timestamps: timestampsExpected,
}
r2.MetricName.Tags = []storage.Tag{
{
Key: []byte("le"),
Value: []byte("1.000e+00"),
},
}
r3 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{40, 40, 40, 40, 40, 40},
Timestamps: timestampsExpected,
}
r3.MetricName.Tags = []storage.Tag{
{
Key: []byte("le"),
Value: []byte("2.448e+00"),
},
}
resultExpected := []netstorage.Result{r1, r2, r3}
f(q, resultExpected)
})
t.Run(`sum(histogram_over_time)`, func(t *testing.T) {
t.Parallel()
q := `sum(histogram_over_time(alias(label_set(rand(0)*1.3+1.1, "foo", "bar"), "xxx")[200s:5s]))`

View File

@@ -1055,7 +1055,7 @@ func newRollupHoltWinters(args []any) (rollupFunc, error) {
return nan
}
// See https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing_%28Holt_linear%29 .
// See https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing .
// TODO: determine whether this shit really works.
s0 := rfa.prevValue
if math.IsNaN(s0) {

View File

@@ -2,7 +2,6 @@ package promql
import (
"fmt"
"math"
"sort"
"strconv"
"sync"
@@ -289,9 +288,6 @@ func marshalMetricTagsSorted(dst []byte, mn *storage.MetricName) []byte {
}
func marshalBytesFast(dst []byte, s []byte) []byte {
if len(s) > math.MaxUint16 {
logger.Panicf("BUG: s len %d cannot exceed %d", len(s), math.MaxUint16)
}
dst = encoding.MarshalUint16(dst, uint16(len(s)))
dst = append(dst, s...)
return dst

View File

@@ -393,7 +393,7 @@ func transformBucketsLimit(tfa *transformFuncArg) ([]*timeseries, error) {
return nil, err
}
if limit <= 0 {
return nil, fmt.Errorf("limit must be greater than 0; got %d", limit)
return nil, nil
}
if limit < 3 {
// Preserve the first and the last bucket for better accuracy for min and max values.
@@ -461,23 +461,6 @@ func transformBucketsLimit(tfa *transformFuncArg) ([]*timeseries, error) {
prevValue = value
}
}
// Remove buckets that are consecutively empty at left and right ends to obtain more accurate max and min values.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/10417.
epsilon := 1e-9
isEmptyBucket := func(hits float64) bool {
return !math.IsNaN(hits) && math.Abs(hits) < epsilon
}
l := 0
r := len(leGroup) - 1
for r-l+1 > limit && isEmptyBucket(leGroup[r].hits) {
r--
}
for r-l+1 > limit && isEmptyBucket(leGroup[l].hits) {
l++
}
leGroup = leGroup[l : r+1]
for len(leGroup) > limit {
// Preserve the first and the last bucket for better accuracy for min and max values
xxMinIdx := 1
@@ -1138,29 +1121,29 @@ func groupLeTimeseries(tss []*timeseries) map[string][]leTimeseries {
func fixBrokenBuckets(i int, xss []leTimeseries) {
// Buckets are already sorted by le, so their values must be in ascending order,
// since the upper bucket includes all the lower buckets.
// If the upper bucket has lower value than the current bucket,
// then the upper bucket must be substituted with the current bucket value.
// since the next bucket includes all the previous buckets.
// If the next bucket has lower value than the current bucket,
// then the next bucket must be substituted with the current bucket value.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4580#issuecomment-2186659102
if len(xss) < 2 {
return
}
vPrev := xss[0].ts.Values[i]
vNext := xss[0].ts.Values[i]
// Set the lowest bucket to 0 if its value is NaN, so it can be properly
// compared with upper buckets in the loop below.
if math.IsNaN(vPrev) {
vPrev = 0
xss[0].ts.Values[i] = vPrev
if math.IsNaN(vNext) {
vNext = 0
xss[0].ts.Values[i] = vNext
}
// Substitute upper bucket values with lower bucket values if the upper values are NaN
// or are smaller than the lower bucket values.
// or are bigger than the lower bucket values.
for j := 1; j < len(xss); j++ {
v := xss[j].ts.Values[i]
if math.IsNaN(v) || vPrev > v {
xss[j].ts.Values[i] = vPrev
if math.IsNaN(v) || vNext > v {
xss[j].ts.Values[i] = vNext
} else {
vPrev = v
vNext = v
}
}
}

View File

@@ -91,9 +91,9 @@ The list of MetricsQL features on top of PromQL:
Labels from the `on()` list aren't copied.
* [Aggregate functions](#aggregate-functions) accept arbitrary number of args.
For example, `avg(q1, q2, q3)` would return the average values for every point across time series returned by `q1`, `q2` and `q3`.
* [@ modifier](https://prometheus.io/docs/prometheus/latest/querying/basics/#-modifier) can be put anywhere in the query.
* [@ modifier](https://prometheus.io/docs/prometheus/latest/querying/basics/#modifier) can be put anywhere in the query.
For example, `sum(foo) @ end()` calculates `sum(foo)` at the `end` timestamp of the selected time range `[start ... end]`.
* Arbitrary subexpression can be used as [@ modifier](https://prometheus.io/docs/prometheus/latest/querying/basics/#-modifier).
* Arbitrary subexpression can be used as [@ modifier](https://prometheus.io/docs/prometheus/latest/querying/basics/#modifier).
For example, `foo @ (end() - 1h)` calculates `foo` at the `end - 1 hour` timestamp on the selected time range `[start ... end]`.
* [offset](https://prometheus.io/docs/prometheus/latest/querying/basics/#offset-modifier), lookbehind window in square brackets
and `step` value for [subquery](#subqueries) may refer to the current step aka `$__interval` value from Grafana with `[Ni]` syntax.
@@ -482,7 +482,7 @@ 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_%28Holt_linear%29)) for [raw samples](https://docs.victoriametrics.com/victoriametrics/keyconcepts/#raw-samples)
(aka [double exponential smoothing](https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing)) for [raw samples](https://docs.victoriametrics.com/victoriametrics/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]`.
@@ -1154,7 +1154,7 @@ See also [asin](#asin) and [cos](#cos).
#### acosh
`acosh(q)` is a [transform function](#transform-functions), which returns
[inverse hyperbolic cosine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Definitions_in_terms_of_logarithms) for every point of every time series returned by `q`.
[inverse hyperbolic cosine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_cosine) for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
@@ -1176,7 +1176,7 @@ See also [acos](#acos) and [sin](#sin).
#### asinh
`asinh(q)` is a [transform function](#transform-functions), which returns
[inverse hyperbolic sine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Definitions_in_terms_of_logarithms) for every point of every time series returned by `q`.
[inverse hyperbolic sine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_sine) for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
@@ -1198,7 +1198,7 @@ See also [tan](#tan).
#### atanh
`atanh(q)` is a [transform function](#transform-functions), which returns
[inverse hyperbolic tangent](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Definitions_in_terms_of_logarithms) for every point of every time series returned by `q`.
[inverse hyperbolic tangent](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_tangent) for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
@@ -1229,7 +1229,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke
`buckets_limit(limit, buckets)` is a [transform function](#transform-functions), which limits the number
of [histogram buckets](https://valyala.medium.com/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350) to the given `limit`.
The given `limit` should be greater than `0`. If it is less than `3`, it will be automatically raised to `3` to preserve the first and last buckets for better accuracy of min and max values.
The result will preserve the first and the last bucket to improve accuracy for min and max values.
So, if the `limit` is greater than 0 and less than 3, the function will still return 3 buckets: the first bucket, the last bucket, and a selected bucket.
See also [prometheus_buckets](#prometheus_buckets) and [histogram_quantile](#histogram_quantile).

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

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@@ -1 +0,0 @@
var e=Object.create,t=Object.defineProperty,n=Object.getOwnPropertyDescriptor,r=Object.getOwnPropertyNames,i=Object.getPrototypeOf,a=Object.prototype.hasOwnProperty,o=(e,t,n)=>()=>{if(n)throw n[0];try{return e&&(t=e(e=0)),t}catch(e){throw n=[e],e}},s=(e,t)=>()=>(t||(e((t={exports:{}}).exports,t),e=null),t.exports),c=(e,n)=>{let r={};for(var i in e)t(r,i,{get:e[i],enumerable:!0});return n||t(r,Symbol.toStringTag,{value:`Module`}),r},l=(e,i,o,s)=>{if(i&&typeof i==`object`||typeof i==`function`)for(var c=r(i),l=0,u=c.length,d;l<u;l++)d=c[l],!a.call(e,d)&&d!==o&&t(e,d,{get:(e=>i[e]).bind(null,d),enumerable:!(s=n(i,d))||s.enumerable});return e},u=(n,r,a)=>(a=n==null?{}:e(i(n)),l(r||!n||!n.__esModule?t(a,`default`,{value:n,enumerable:!0}):a,n)),d=e=>a.call(e,`module.exports`)?e[`module.exports`]:l(t({},`__esModule`,{value:!0}),e);export{u as a,d as i,o as n,c as r,s as t};

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@@ -0,0 +1 @@
var e=Object.create,t=Object.defineProperty,n=Object.getOwnPropertyDescriptor,r=Object.getOwnPropertyNames,i=Object.getPrototypeOf,a=Object.prototype.hasOwnProperty,o=(e,t)=>()=>(e&&(t=e(e=0)),t),s=(e,t)=>()=>(t||(e((t={exports:{}}).exports,t),e=null),t.exports),c=(e,n)=>{let r={};for(var i in e)t(r,i,{get:e[i],enumerable:!0});return n||t(r,Symbol.toStringTag,{value:`Module`}),r},l=(e,i,o,s)=>{if(i&&typeof i==`object`||typeof i==`function`)for(var c=r(i),l=0,u=c.length,d;l<u;l++)d=c[l],!a.call(e,d)&&d!==o&&t(e,d,{get:(e=>i[e]).bind(null,d),enumerable:!(s=n(i,d))||s.enumerable});return e},u=(n,r,a)=>(a=n==null?{}:e(i(n)),l(r||!n||!n.__esModule?t(a,`default`,{value:n,enumerable:!0}):a,n)),d=e=>a.call(e,`module.exports`)?e[`module.exports`]:l(t({},`__esModule`,{value:!0}),e);export{u as a,d as i,o as n,c as r,s as t};

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@@ -37,11 +37,11 @@
<meta property="og:title" content="UI for VictoriaMetrics">
<meta property="og:url" content="https://victoriametrics.com/">
<meta property="og:description" content="Explore and troubleshoot your VictoriaMetrics data">
<script type="module" crossorigin src="./assets/index-D5egN2id.js"></script>
<link rel="modulepreload" crossorigin href="./assets/rolldown-runtime-CNC7AqOf.js">
<link rel="modulepreload" crossorigin href="./assets/vendor-DwJYpOdw.js">
<script type="module" crossorigin src="./assets/index-CusQvJzs.js"></script>
<link rel="modulepreload" crossorigin href="./assets/rolldown-runtime-Cyuzqnbw.js">
<link rel="modulepreload" crossorigin href="./assets/vendor-B83wxFqK.js">
<link rel="stylesheet" crossorigin href="./assets/vendor-CnsZ1jie.css">
<link rel="stylesheet" crossorigin href="./assets/index-BJqoElx2.css">
<link rel="stylesheet" crossorigin href="./assets/index-BBUnmLOr.css">
</head>
<body>
<noscript>You need to enable JavaScript to run this app.</noscript>

View File

@@ -30,17 +30,6 @@ var (
"See https://docs.victoriametrics.com/victoriametrics/single-server-victoriametrics/#retention. See also -retentionFilter")
futureRetention = flagutil.NewRetentionDuration("futureRetention", "2d", "Data with timestamps bigger than now+futureRetention is automatically deleted. "+
"The minimum futureRetention is 2 days. See https://docs.victoriametrics.com/victoriametrics/single-server-victoriametrics/#retention")
maxBackfillAge = flagutil.NewRetentionDuration("maxBackfillAge", "0", "The maximum allowed age for the ingested samples with historical timestamps. "+
"Samples with timestamps older than now-maxBackfillAge are rejected during data ingestion. "+
"By default, or when set to 0, -maxBackfillAge equals to -retentionPeriod, e.g. it is unlimited within the configured retention. "+
"This can be useful for limiting ingestion of historical samples, for example, when older data has been moved to another storage tier. "+
"See https://docs.victoriametrics.com/victoriametrics/single-server-victoriametrics/#retention")
vmselectAddr = flag.String("vmselectAddr", "", "TCP address to listen for incoming connections from vmselect. "+
"When set, the node will be able to accept cluster-native vmselect RPC requests as if it were vmstorage. "+
"The tenant ID assigned to this node's data is controlled by -accountID and -projectID flags. "+
"See https://docs.victoriametrics.com/victoriametrics/single-server-victoriametrics/#multi-tenancy")
vmselectDisableRPCCompression = flag.Bool("rpc.disableCompression", false, "Whether to disable compression of the data sent from vmstorage to vmselect. "+
"This reduces CPU usage at the cost of higher network bandwidth usage")
snapshotAuthKey = flagutil.NewPassword("snapshotAuthKey", "authKey, which must be passed in query string to /snapshot* pages. It overrides -httpAuth.*")
forceMergeAuthKey = flagutil.NewPassword("forceMergeAuthKey", "authKey, which must be passed in query string to /internal/force_merge pages. It overrides -httpAuth.*")
forceFlushAuthKey = flagutil.NewPassword("forceFlushAuthKey", "authKey, which must be passed in query string to /internal/force_flush pages. It overrides -httpAuth.*")
@@ -119,7 +108,7 @@ func DataPath() string {
}
// Init initializes vmstorage.
func Init(vmselectMaxConcurrentRequests int, vmselectMaxQueueDuration time.Duration, resetCacheIfNeeded func(mrs []storage.MetricRow)) {
func Init(vmselectMaxConcurrentRequests int, resetCacheIfNeeded func(mrs []storage.MetricRow)) {
storage.SetDedupInterval(*minScrapeInterval)
storage.SetDataFlushInterval(*inmemoryDataFlushInterval)
storage.LegacySetRetentionTimezoneOffset(*retentionTimezoneOffset)
@@ -154,7 +143,6 @@ func Init(vmselectMaxConcurrentRequests int, vmselectMaxQueueDuration time.Durat
opts := storage.OpenOptions{
Retention: retentionPeriod.Duration(),
FutureRetention: futureRetention.Duration(),
MaxBackfillAge: maxBackfillAge.Duration(),
DenyQueriesOutsideRetention: *denyQueriesOutsideRetention,
MaxHourlySeries: getMaxHourlySeries(),
MaxDailySeries: getMaxDailySeries(),
@@ -181,21 +169,6 @@ func Init(vmselectMaxConcurrentRequests int, vmselectMaxQueueDuration time.Durat
storageMetrics.RegisterMetricsWriter(vmStorage.writeStorageMetrics)
metrics.RegisterSet(storageMetrics)
if *vmselectAddr != "" {
var err error
limits := vmselectapi.Limits{
MaxConcurrentRequests: vmselectMaxConcurrentRequests,
MaxConcurrentRequestsFlagName: "search.maxConcurrentRequests",
MaxQueueDuration: vmselectMaxQueueDuration,
MaxQueueDurationFlagName: "search.maxQueueDuration",
}
api := newVMStorageWithTenantID(vmStorage)
vmselectSrv, err = vmselectapi.NewServer(*vmselectAddr, api, limits, *vmselectDisableRPCCompression)
if err != nil {
logger.Fatalf("cannot create a server with -vmselectAddr=%s: %s", *vmselectAddr, err)
}
}
VMInsertAPI = vmStorage
VMSelectAPI = vmStorage
GetSearch = vmStorage.GetSearch
@@ -218,8 +191,6 @@ var (
// TODO(@rtm0): Remove this dependency from vmalert-tool unit tests.
DebugFlush func()
vmselectSrv *vmselectapi.Server
)
// Stop stops the vmstorage
@@ -230,10 +201,6 @@ func Stop() {
logger.Infof("gracefully closing the storage at %s", *storageDataPath)
startTime := time.Now()
if vmselectSrv != nil {
vmselectSrv.MustStop()
}
vmStorage.Stop()
logger.Infof("successfully closed the storage in %.3f seconds", time.Since(startTime).Seconds())
@@ -476,10 +443,8 @@ func (vms *VMStorage) writeStorageMetrics(w io.Writer) {
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="storage/inmemory"}`, tm.InmemorySizeBytes)
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="storage/small"}`, tm.SmallSizeBytes)
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="storage/big"}`, tm.BigSizeBytes)
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="storage/metaindex"}`, tm.MetaindexSizeBytes)
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="indexdb/inmemory"}`, idbm.InmemorySizeBytes)
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="indexdb/file"}`, idbm.FileSizeBytes)
metrics.WriteGaugeUint64(w, `vm_data_size_bytes{type="indexdb/metaindex"}`, idbm.MetaindexSizeBytes)
metrics.WriteCounterUint64(w, `vm_rows_received_by_storage_total`, m.RowsReceivedTotal)
metrics.WriteCounterUint64(w, `vm_rows_added_to_storage_total`, m.RowsAddedTotal)

View File

@@ -164,10 +164,6 @@ func (vms *VMStorage) IsReadOnly() bool {
}
func (vms *VMStorage) InitSearch(qt *querytracer.Tracer, sq *storage.SearchQuery, deadline uint64) (vmselectapi.BlockIterator, error) {
return vms.initSearch(qt, sq, marshalDefault, deadline)
}
func (vms *VMStorage) initSearch(qt *querytracer.Tracer, sq *storage.SearchQuery, marshal marshalFunc, deadline uint64) (vmselectapi.BlockIterator, error) {
vms.wg.Add(1)
tr := sq.GetTimeRange()
@@ -182,7 +178,6 @@ func (vms *VMStorage) initSearch(qt *querytracer.Tracer, sq *storage.SearchQuery
return nil, fmt.Errorf("missing tag filters")
}
bi := getBlockIterator()
bi.marshal = marshal
bi.wgDone = vms.wg.Done
bi.sr.Init(qt, vms.s, tfss, tr, maxMetrics, deadline)
if err := bi.sr.Error(); err != nil {
@@ -203,19 +198,11 @@ func (vms *VMStorage) getMaxMetrics(searchQueryLimit int) int {
return searchQueryLimit
}
type marshalFunc func(dst []byte, src *storage.MetricBlock) []byte
// marshalDefault is the default implementation of the MetricBlock marshaling.
func marshalDefault(dst []byte, src *storage.MetricBlock) []byte {
return src.Marshal(dst)
}
// blockIterator implements vmselectapi.BlockIterator
type blockIterator struct {
sr storage.Search
mb storage.MetricBlock
marshal marshalFunc
wgDone func()
sr storage.Search
mb storage.MetricBlock
wgDone func()
}
var blockIteratorsPool sync.Pool
@@ -241,10 +228,10 @@ func (bi *blockIterator) NextBlock(dst []byte) ([]byte, bool) {
if !bi.sr.NextMetricBlock() {
return dst, false
}
mb := &bi.mb
mb := bi.mb
mb.MetricName = bi.sr.MetricBlockRef.MetricName
bi.sr.MetricBlockRef.BlockRef.MustReadBlock(&mb.Block)
dst = bi.marshal(dst[:0], mb)
dst = mb.Marshal(dst[:0])
return dst, true
}

View File

@@ -1,282 +0,0 @@
package vmstorage
import (
"flag"
"fmt"
"math"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/querytracer"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage/metricnamestats"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage/metricsmetadata"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/vmselectapi"
)
var (
accountID = flag.Uint64("accountID", 0, "The accountID of the stored data")
projectID = flag.Uint64("projectID", 0, "The projectID of the stored data")
)
func newVMStorageWithTenantID(vms *VMStorage) *VMStorageWithTenantID {
if *accountID > math.MaxUint32 {
logger.Fatalf("-accountID must be in the range [0, %d], got %d", uint32(math.MaxUint32), *accountID)
}
if *projectID > math.MaxUint32 {
logger.Fatalf("-projectID must be in the range [0, %d], got %d", uint32(math.MaxUint32), *projectID)
}
return &VMStorageWithTenantID{
vms: vms,
accountID: uint32(*accountID),
projectID: uint32(*projectID),
}
}
// VMStorageWithTenantID is a thin wrapper around VMStorage type that overrides
// its methods to properly serve requests coming from a vmselect (require
// tenantID).
//
// A new instance of this type should be created using
// newVMStorageWithTenantID(). The created instance does not require closing.
// The instance also does not take ownership of vms and it is the responsibility
// of the caller to close vms.
type VMStorageWithTenantID struct {
vms *VMStorage
accountID uint32
projectID uint32
}
// InitSearch initializes a storage search for a request initiated by a
// vmselect.
//
// The search is initialized only if the search query is either multitenant or
// its accountID and projectID match -accountID and -projectID flag values.
// Otherwise, the method returns an interator that will return no data.
//
// The method also overrides the data format of the data returned by the
// iterator by prepending accountID and projectID bytes to the metric name and
// the data block (a format used in vmcluster).
func (vmst *VMStorageWithTenantID) InitSearch(qt *querytracer.Tracer, sq *storage.SearchQuery, deadline uint64) (vmselectapi.BlockIterator, error) {
if !vmst.hasValidTenantID(sq) {
return emptyBI, nil
}
return vmst.vms.initSearch(qt, sq, vmst.marshalMetricBlock, deadline)
}
var emptyBI = &emptyBlockIterator{}
// emptyBlockIterator is an implementation of vmselectapi.BlockIterator that
// always returns no data.
type emptyBlockIterator struct{}
func (*emptyBlockIterator) MustClose() {}
func (*emptyBlockIterator) NextBlock(dst []byte) ([]byte, bool) {
return dst, false
}
func (*emptyBlockIterator) Error() error {
return nil
}
// marshalMetricBlock serializes a metric block in the format expected by
// vmselect.
//
// vmselect expects metric names and data blocks to have the tenantID but
// vmsingle does not have it. Therefore the tenantID needs to be included to
// every metric name and block.
func (vmst *VMStorageWithTenantID) marshalMetricBlock(dst []byte, src *storage.MetricBlock) []byte {
// Marshal metric name:
// 1. Marshal metric name length + accountID length + projectID length (in
// bytes).
// 2. append accountID and projectID bytes
// 3. Finally append metric name bytes
dst = encoding.MarshalVarUint64(dst, uint64(len(src.MetricName))+8)
dst = encoding.MarshalUint32(dst, vmst.accountID)
dst = encoding.MarshalUint32(dst, vmst.projectID)
dst = append(dst, src.MetricName...)
// Marshal data block.
dst = encoding.MarshalUint32(dst, vmst.accountID)
dst = encoding.MarshalUint32(dst, vmst.projectID)
dst = storage.MarshalBlock(dst, &src.Block)
return dst
}
// SearchMetricNames searches the storage for metric names that match the query.
//
// If the query is not multitenant or the query accountID and projectID do not
// match the -accoutID and -projectID flag values, the method will return an
// empty result.
//
// Found metric names are prepended with accountID and projectID bytes (a format
// used in vmcluster).
func (vmst *VMStorageWithTenantID) SearchMetricNames(qt *querytracer.Tracer, sq *storage.SearchQuery, deadline uint64) ([]string, error) {
if !vmst.hasValidTenantID(sq) {
return nil, nil
}
metricNames, err := vmst.vms.SearchMetricNames(qt, sq, deadline)
if err != nil {
return nil, err
}
// vmselect expects metric names to have the tenantID but vmsingle does not
// have it. Therefore the tenantID needs to be prepended to every metric
// name.
dst := make([]byte, 0, 8)
dst = encoding.MarshalUint32(dst, vmst.accountID)
dst = encoding.MarshalUint32(dst, vmst.projectID)
tenantID := string(dst)
for i, metricName := range metricNames {
metricNames[i] = tenantID + metricName
}
return metricNames, nil
}
// LabelValues searches the storage for label values that match the query and
// correspond to a label whose name is `labelName`. The returned result
// will contain not more than `maxLabelValues`.
//
// If the query is not multitenant or the query accountID and projectID do not
// match the -accoutID and -projectID flag values, the method will return an
// empty result.
func (vmst *VMStorageWithTenantID) LabelValues(qt *querytracer.Tracer, sq *storage.SearchQuery, labelName string, maxLabelValues int, deadline uint64) ([]string, error) {
if !vmst.hasValidTenantID(sq) {
return nil, nil
}
return vmst.vms.LabelValues(qt, sq, labelName, maxLabelValues, deadline)
}
// TagValueSuffixes searches the storage for Graphite tag value suffixes. The
// returned result will contain not more than `maxSuffixes`.
//
// If the query is not multitenant or the query accountID and projectID do not
// match the -accoutID and -projectID flag values, the method will return an
// empty result.
func (vmst *VMStorageWithTenantID) TagValueSuffixes(qt *querytracer.Tracer, accountID, projectID uint32, tr storage.TimeRange, tagKey, tagValuePrefix string, delimiter byte, maxSuffixes int, deadline uint64) ([]string, error) {
if !vmst.isValidTenantID(accountID, projectID) {
return nil, nil
}
return vmst.vms.TagValueSuffixes(qt, accountID, projectID, tr, tagKey, tagValuePrefix, delimiter, maxSuffixes, deadline)
}
// LabelNames searches the storage for label names that match the query.
// The returned result will contain not more than `maxLabelNames`.
//
// If the query is not multitenant or the query accountID and projectID do not
// match the -accoutID and -projectID flag values, the method will return an
// empty result.
func (vmst *VMStorageWithTenantID) LabelNames(qt *querytracer.Tracer, sq *storage.SearchQuery, maxLabelNames int, deadline uint64) ([]string, error) {
if !vmst.hasValidTenantID(sq) {
return nil, nil
}
return vmst.vms.LabelNames(qt, sq, maxLabelNames, deadline)
}
// SeriesCount returns the total number of metrics stored in the database.
//
// The method may return inflated numbers. How inflated the count depends
// on the churn rate and the retention period. For example, if a metric lasts
// for 2 months, it will be counted twice.
//
// The method also counts the deleted metrics.
//
// If the query is not multitenant or the query accountID and projectID do not
// match the -accoutID and -projectID flag values, the method will return 0.
func (vmst *VMStorageWithTenantID) SeriesCount(qt *querytracer.Tracer, accountID, projectID uint32, deadline uint64) (uint64, error) {
if !vmst.isValidTenantID(accountID, projectID) {
return 0, nil
}
return vmst.vms.SeriesCount(qt, accountID, projectID, deadline)
}
// Tenants returns just one tenant consisting of the -accountID and -projectID
// flag values.
func (vmst *VMStorageWithTenantID) Tenants(qt *querytracer.Tracer, tr storage.TimeRange, deadline uint64) ([]string, error) {
tenantID := fmt.Sprintf("%d:%d", vmst.accountID, vmst.projectID)
return []string{tenantID}, nil
}
// TSDBStatus retrieves the status for metrics that match to the search query.
//
// If the query is not multitenant or the query accountID and projectID do not
// match the -accoutID and -projectID flag values, the method will return empty
// status.
func (vmst *VMStorageWithTenantID) TSDBStatus(qt *querytracer.Tracer, sq *storage.SearchQuery, focusLabel string, topN int, deadline uint64) (*storage.TSDBStatus, error) {
if !vmst.hasValidTenantID(sq) {
return &storage.TSDBStatus{}, nil
}
return vmst.vms.TSDBStatus(qt, sq, focusLabel, topN, deadline)
}
// DeleteSeries marks as deleted metrics that match the search query.
// The method returns the number of deleted metrics.
//
// If the query is not multitenant or the query accountID and projectID do not
// match the -accoutID and -projectID flag values, no metrics will be deleted
// and the method will return 0.
func (vmst *VMStorageWithTenantID) DeleteSeries(qt *querytracer.Tracer, sq *storage.SearchQuery, deadline uint64) (int, error) {
if !vmst.hasValidTenantID(sq) {
return 0, nil
}
return vmst.vms.DeleteSeries(qt, sq, deadline)
}
// RegisterMetricNames registers metric names in the index, the sample values
// and timestamps are ignored.
func (vmst *VMStorageWithTenantID) RegisterMetricNames(qt *querytracer.Tracer, mrs []storage.MetricRow, deadline uint64) error {
return vmst.vms.RegisterMetricNames(qt, mrs, deadline)
}
// GetMetricNamesUsageStats retrieves the usage stats for metrics whose name
// matches the pattern.
//
// If the request is not multitenant or the request accountID and projectID do
// not match the -accoutID and -projectID flag values, no metrics will be
// deleted and the method will return 0.
func (vmst *VMStorageWithTenantID) GetMetricNamesUsageStats(qt *querytracer.Tracer, tt *storage.TenantToken, limit, le int, matchPattern string, deadline uint64) (metricnamestats.StatsResult, error) {
if !vmst.isValidTenantToken(tt) {
return metricnamestats.StatsResult{}, nil
}
return vmst.vms.GetMetricNamesUsageStats(qt, tt, limit, le, matchPattern, deadline)
}
// ResetMetricNamesUsageStats resets the metric name usage stats.
func (vmst *VMStorageWithTenantID) ResetMetricNamesUsageStats(qt *querytracer.Tracer, deadline uint64) error {
return vmst.vms.ResetMetricNamesUsageStats(qt, deadline)
}
// GetMetadataRecords retrieves the metadata for the metricName.
//
// If the request is not multitenant or the request accountID and projectID do
// not match the -accoutID and -projectID flag values, no metrics will be
// deleted and the method will return 0.
func (vmst *VMStorageWithTenantID) GetMetadataRecords(qt *querytracer.Tracer, tt *storage.TenantToken, limit int, metricName string, deadline uint64) ([]*metricsmetadata.Row, error) {
if !vmst.isValidTenantToken(tt) {
return nil, nil
}
return vmst.vms.GetMetadataRecords(qt, tt, limit, metricName, deadline)
}
// hasValidTenantID returns true if the search query is either multitenant or
// its accountID and projectID match -accountID and -projectID flag values.
func (vmst *VMStorageWithTenantID) hasValidTenantID(sq *storage.SearchQuery) bool {
return sq.IsMultiTenant || vmst.isValidTenantID(sq.AccountID, sq.ProjectID)
}
// isValidTenantToken returns true if the TenantToken is either multitenant or
// its accountID and projectID match -accountID and -projectID flag values.
func (vmst *VMStorageWithTenantID) isValidTenantToken(tt *storage.TenantToken) bool {
return tt == nil || vmst.isValidTenantID(tt.AccountID, tt.ProjectID)
}
// isValidTenantID returns true if the accountID and projectID match -accountID
// and -projectID flag values.
func (vmst *VMStorageWithTenantID) isValidTenantID(accountID, projectID uint32) bool {
return accountID == vmst.accountID && projectID == vmst.projectID
}

View File

@@ -1,4 +1,4 @@
FROM golang:1.26.5 AS build-web-stage
FROM golang:1.26.4 AS build-web-stage
COPY build /build
WORKDIR /build
@@ -6,7 +6,7 @@ COPY web/ /build/
RUN GOOS=linux GOARCH=amd64 CGO_ENABLED=0 go build -o web-amd64 github.com/VictoriMetrics/vmui/ && \
GOOS=windows GOARCH=amd64 CGO_ENABLED=0 go build -o web-windows github.com/VictoriMetrics/vmui/
FROM alpine:3.24.1
FROM alpine:3.23.4
USER root
COPY --from=build-web-stage /build/web-amd64 /app/web

File diff suppressed because it is too large Load Diff

View File

@@ -9,7 +9,7 @@
"start": "vite",
"start:playground": "cross-env PLAYGROUND=true npm run start",
"build": "vite build",
"lint": "eslint --format stylish 'src/**/*.{ts,tsx}'",
"lint": "eslint --output-file vmui-lint-report.json --format json 'src/**/*.{ts,tsx}'",
"lint:local": "eslint --ext .ts,.tsx -f stylish src",
"lint:fix": "eslint 'src/**/*.{ts,tsx}' --fix",
"copy-metricsql-docs": "cp ../../../../docs/MetricsQL.md src/assets/MetricsQL.md || true",
@@ -23,40 +23,40 @@
"classnames": "^2.5.1",
"dayjs": "^1.11.21",
"lodash.debounce": "^4.0.8",
"marked": "^18.0.6",
"preact": "^10.29.7",
"qs": "^6.15.3",
"marked": "^18.0.5",
"preact": "^10.29.2",
"qs": "^6.15.2",
"react-input-mask": "^2.0.4",
"react-router-dom": "^7.18.1",
"react-router-dom": "^7.17.0",
"uplot": "^1.6.32",
"vite": "^8.1.4",
"vite": "^8.0.16",
"web-vitals": "^5.3.0"
},
"devDependencies": {
"@eslint/eslintrc": "^3.3.6",
"@eslint/eslintrc": "^3.3.5",
"@eslint/js": "^9.39.2",
"@preact/preset-vite": "^2.10.5",
"@testing-library/jest-dom": "^6.9.1",
"@testing-library/preact": "^3.2.4",
"@types/lodash.debounce": "^4.0.9",
"@types/node": "^26.1.1",
"@types/node": "^25.9.2",
"@types/qs": "^6.15.1",
"@types/react": "^19.2.17",
"@types/react-input-mask": "^3.0.6",
"@types/react-router-dom": "^5.3.3",
"@typescript-eslint/eslint-plugin": "^8.64.0",
"@typescript-eslint/parser": "^8.64.0",
"@typescript-eslint/eslint-plugin": "^8.61.0",
"@typescript-eslint/parser": "^8.61.0",
"cross-env": "^10.1.0",
"eslint": "^9.39.2",
"eslint-plugin-react": "^7.37.5",
"eslint-plugin-unused-imports": "^4.4.1",
"globals": "^17.7.0",
"http-proxy-middleware": "^4.2.0",
"globals": "^17.6.0",
"http-proxy-middleware": "^4.1.0",
"jsdom": "^29.1.1",
"postcss": "^8.5.19",
"postcss": "^8.5.15",
"sass-embedded": "^1.100.0",
"typescript": "^6.0.3",
"vitest": "^4.1.10"
"vitest": "^4.1.8"
},
"browserslist": {
"production": [

View File

@@ -91,9 +91,9 @@ The list of MetricsQL features on top of PromQL:
Labels from the `on()` list aren't copied.
* [Aggregate functions](#aggregate-functions) accept arbitrary number of args.
For example, `avg(q1, q2, q3)` would return the average values for every point across time series returned by `q1`, `q2` and `q3`.
* [@ modifier](https://prometheus.io/docs/prometheus/latest/querying/basics/#-modifier) can be put anywhere in the query.
* [@ modifier](https://prometheus.io/docs/prometheus/latest/querying/basics/#modifier) can be put anywhere in the query.
For example, `sum(foo) @ end()` calculates `sum(foo)` at the `end` timestamp of the selected time range `[start ... end]`.
* Arbitrary subexpression can be used as [@ modifier](https://prometheus.io/docs/prometheus/latest/querying/basics/#-modifier).
* Arbitrary subexpression can be used as [@ modifier](https://prometheus.io/docs/prometheus/latest/querying/basics/#modifier).
For example, `foo @ (end() - 1h)` calculates `foo` at the `end - 1 hour` timestamp on the selected time range `[start ... end]`.
* [offset](https://prometheus.io/docs/prometheus/latest/querying/basics/#offset-modifier), lookbehind window in square brackets
and `step` value for [subquery](#subqueries) may refer to the current step aka `$__interval` value from Grafana with `[Ni]` syntax.
@@ -482,7 +482,7 @@ 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_%28Holt_linear%29)) for [raw samples](https://docs.victoriametrics.com/victoriametrics/keyconcepts/#raw-samples)
(aka [double exponential smoothing](https://en.wikipedia.org/wiki/Exponential_smoothing#Double_exponential_smoothing)) for [raw samples](https://docs.victoriametrics.com/victoriametrics/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]`.
@@ -1154,7 +1154,7 @@ See also [asin](#asin) and [cos](#cos).
#### acosh
`acosh(q)` is a [transform function](#transform-functions), which returns
[inverse hyperbolic cosine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Definitions_in_terms_of_logarithms) for every point of every time series returned by `q`.
[inverse hyperbolic cosine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_cosine) for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
@@ -1176,7 +1176,7 @@ See also [acos](#acos) and [sin](#sin).
#### asinh
`asinh(q)` is a [transform function](#transform-functions), which returns
[inverse hyperbolic sine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Definitions_in_terms_of_logarithms) for every point of every time series returned by `q`.
[inverse hyperbolic sine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_sine) for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
@@ -1198,7 +1198,7 @@ See also [tan](#tan).
#### atanh
`atanh(q)` is a [transform function](#transform-functions), which returns
[inverse hyperbolic tangent](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Definitions_in_terms_of_logarithms) for every point of every time series returned by `q`.
[inverse hyperbolic tangent](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_tangent) for every point of every time series returned by `q`.
Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
@@ -1229,7 +1229,8 @@ Metric names are stripped from the resulting series. Add [keep_metric_names](#ke
`buckets_limit(limit, buckets)` is a [transform function](#transform-functions), which limits the number
of [histogram buckets](https://valyala.medium.com/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350) to the given `limit`.
The given `limit` should be greater than `0`. If it is less than `3`, it will be automatically raised to `3` to preserve the first and last buckets for better accuracy of min and max values.
The result will preserve the first and the last bucket to improve accuracy for min and max values.
So, if the `limit` is greater than 0 and less than 3, the function will still return 3 buckets: the first bucket, the last bucket, and a selected bucket.
See also [prometheus_buckets](#prometheus_buckets) and [histogram_quantile](#histogram_quantile).

View File

@@ -183,7 +183,7 @@ const StepConfigurator: FC = () => {
<div className="vm-step-control-popper-info">
<p>
<code>step</code> - the <Hyperlink
href="https://prometheus.io/docs/prometheus/latest/querying/basics/#float-literals-and-time-durations"
href="https://prometheus.io/docs/prometheus/latest/querying/basics/#time-durations"
text="interval"
/> between datapoints, which must be returned from the range query.
The <code>query</code> is executed

View File

@@ -1,4 +1,4 @@
import { FC, useEffect, useRef } from "preact/compat";
import { FC, useEffect, useRef, useState } from "preact/compat";
import { useTimeDispatch } from "../../../../state/time/TimeStateContext";
import { getAppModeEnable } from "../../../../utils/app-mode";
import Button from "../../../Main/Button/Button";
@@ -9,38 +9,27 @@ import classNames from "classnames";
import Tooltip from "../../../Main/Tooltip/Tooltip";
import useDeviceDetect from "../../../../hooks/useDeviceDetect";
import useBoolean from "../../../../hooks/useBoolean";
import { getMillisecondsFromDuration } from "../../../../utils/time";
import { useSearchParams } from "react-router";
const delayOptions = [
"Off",
"1s",
"2s",
"5s",
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h"
interface AutoRefreshOption {
seconds: number
title: string
}
const delayOptions: AutoRefreshOption[] = [
{ seconds: 0, title: "Off" },
{ seconds: 1, title: "1s" },
{ seconds: 2, title: "2s" },
{ seconds: 5, title: "5s" },
{ seconds: 10, title: "10s" },
{ seconds: 30, title: "30s" },
{ seconds: 60, title: "1m" },
{ seconds: 300, title: "5m" },
{ seconds: 900, title: "15m" },
{ seconds: 1800, title: "30m" },
{ seconds: 3600, title: "1h" },
{ seconds: 7200, title: "2h" }
];
const DEFAULT_OPTION = delayOptions[0];
const MIN_REFRESH_MS = 1000;
const MAX_REFRESH_MS = getMillisecondsFromDuration(delayOptions[delayOptions.length - 1]);
const REFRESH_URL_PARAM = "refresh";
const durationToMs = (dur: string | null) => {
return dur ? getMillisecondsFromDuration(dur) : 0;
};
const isValidDelay = (ms: number) => {
return ms >= MIN_REFRESH_MS && ms <= MAX_REFRESH_MS;
};
interface ExecutionControlsProps {
tooltip: string;
useAutorefresh?: boolean;
@@ -49,14 +38,12 @@ interface ExecutionControlsProps {
export const ExecutionControls: FC<ExecutionControlsProps> = ({ tooltip, useAutorefresh, closeModal }) => {
const { isMobile } = useDeviceDetect();
const [searchParams, setSearchParams] = useSearchParams();
const dispatch = useTimeDispatch();
const appModeEnable = getAppModeEnable();
const [autoRefresh, setAutoRefresh] = useState(false);
const rawDelay = searchParams.get(REFRESH_URL_PARAM);
const msDelay = durationToMs(rawDelay);
const selectedDelay = isValidDelay(msDelay) ? rawDelay : DEFAULT_OPTION;
const [selectedDelay, setSelectedDelay] = useState<AutoRefreshOption>(delayOptions[0]);
const {
value: openOptions,
@@ -65,20 +52,11 @@ export const ExecutionControls: FC<ExecutionControlsProps> = ({ tooltip, useAuto
} = useBoolean(false);
const optionsButtonRef = useRef<HTMLDivElement>(null);
const handleChange = (dur: string) => () => {
setSearchParams(prev => {
const nextParams = new URLSearchParams(prev);
const ms = durationToMs(dur);
if (ms) {
nextParams.set(REFRESH_URL_PARAM, `${dur}`);
} else {
nextParams.delete(REFRESH_URL_PARAM);
}
return nextParams;
});
const handleChange = (d: AutoRefreshOption) => {
if ((autoRefresh && !d.seconds) || (!autoRefresh && d.seconds)) {
setAutoRefresh(prev => !prev);
}
setSelectedDelay(d);
handleCloseOptions();
};
@@ -90,19 +68,23 @@ export const ExecutionControls: FC<ExecutionControlsProps> = ({ tooltip, useAuto
};
useEffect(() => {
const ms = durationToMs(selectedDelay);
const delay = selectedDelay.seconds;
let timer: number;
if (useAutorefresh && isValidDelay(ms)) {
if (autoRefresh) {
timer = setInterval(() => {
dispatch({ type: "RUN_QUERY" });
}, ms) as unknown as number;
}, delay * 1000) as unknown as number;
} else {
setSelectedDelay(delayOptions[0]);
}
return () => {
clearInterval(timer);
timer && clearInterval(timer);
};
}, [selectedDelay, useAutorefresh]);
}, [selectedDelay, autoRefresh]);
const createHandlerChange = (d: AutoRefreshOption) => () => {
handleChange(d);
};
return (
<>
@@ -124,7 +106,7 @@ export const ExecutionControls: FC<ExecutionControlsProps> = ({ tooltip, useAuto
<span className="vm-mobile-option__icon"><RestartIcon/></span>
<div className="vm-mobile-option-text">
<span className="vm-mobile-option-text__label">Auto-refresh</span>
<span className="vm-mobile-option-text__value">{selectedDelay}</span>
<span className="vm-mobile-option-text__value">{selectedDelay.title}</span>
</div>
<span className="vm-mobile-option__arrow"><ArrowDownIcon/></span>
</div>
@@ -157,7 +139,7 @@ export const ExecutionControls: FC<ExecutionControlsProps> = ({ tooltip, useAuto
)}
onClick={toggleOpenOptions}
>
{selectedDelay}
{selectedDelay.title}
</Button>
</div>
</Tooltip>
@@ -205,12 +187,12 @@ export const ExecutionControls: FC<ExecutionControlsProps> = ({ tooltip, useAuto
className={classNames({
"vm-list-item": true,
"vm-list-item_mobile": isMobile,
"vm-list-item_active": d === selectedDelay
"vm-list-item_active": d.seconds === selectedDelay.seconds
})}
key={d}
onClick={handleChange(d)}
key={d.seconds}
onClick={createHandlerChange(d)}
>
{d}
{d.title}
</div>
))}
</div>

View File

@@ -98,7 +98,7 @@ const BaseAlert = ({ item, group }: BaseAlertProps) => {
{!!Object.keys(item.annotations || {}).length && (
<>
<span className="vm-alerts-title">Annotations</span>
<table className="vm-annotations-table">
<table>
<colgroup>
<col className="vm-col-md"/>
<col/>

View File

@@ -121,7 +121,7 @@ const BaseRule = ({ item, group }: BaseRuleProps) => {
{!!Object.keys(item?.annotations || {}).length && (
<>
<span className="vm-alerts-title">Annotations</span>
<table className="vm-annotations-table">
<table>
<colgroup>
<col className="vm-col-md"/>
<col/>

View File

@@ -17,12 +17,10 @@ interface HeaderNavProps {
const HeaderNav: FC<HeaderNavProps> = ({ color, background, direction }) => {
const { pathname } = useLocation();
const [activeMenu, setActiveMenu] = useState(pathname);
const [openMenu, setOpenMenu] = useState<string | null>(null);
const menu = useNavigationMenu();
useEffect(() => {
setActiveMenu(pathname);
setOpenMenu(null);
}, [pathname]);
return (
@@ -43,8 +41,6 @@ const HeaderNav: FC<HeaderNavProps> = ({ color, background, direction }) => {
color={color}
background={background}
direction={direction}
openMenu={openMenu}
setOpenMenu={setOpenMenu}
/>
)
: (

View File

@@ -1,8 +1,11 @@
import { FC, useRef, useState, Dispatch, SetStateAction } from "preact/compat";
import { FC, useRef, useState } from "preact/compat";
import { useLocation } from "react-router-dom";
import classNames from "classnames";
import { ArrowDropDownIcon } from "../../../components/Main/Icons";
import Popper from "../../../components/Main/Popper/Popper";
import NavItem from "./NavItem";
import { useEffect } from "react";
import useBoolean from "../../../hooks/useBoolean";
import { NavigationItem, NavigationItemType } from "../../../router/navigation";
interface NavItemProps {
@@ -12,8 +15,6 @@ interface NavItemProps {
color?: string
background?: string
direction?: "row" | "column"
openMenu: string | null,
setOpenMenu: Dispatch<SetStateAction<string | null>>,
}
const NavSubItem: FC<NavItemProps> = ({
@@ -22,18 +23,21 @@ const NavSubItem: FC<NavItemProps> = ({
color,
background,
submenu,
direction = "row",
openMenu,
setOpenMenu,
direction = "row"
}) => {
const { pathname } = useLocation();
const [menuTimeout, setMenuTimeout] = useState<NodeJS.Timeout | null>(null);
const buttonRef = useRef<HTMLDivElement>(null);
const openSubmenu = openMenu === label;
const handleCloseSubmenu = () => setOpenMenu(prev => (prev === label ? null : prev));
const {
value: openSubmenu,
setFalse: handleCloseSubmenu,
setTrue: setOpenSubmenu,
} = useBoolean(false);
const handleOpenSubmenu = () => {
if (direction === "row" || !openSubmenu) setOpenMenu(label);
if (direction === "row" || !openSubmenu) setOpenSubmenu();
if (direction === "column" && openSubmenu) handleCloseSubmenu();
if (direction === "row" && menuTimeout) clearTimeout(menuTimeout);
};
@@ -48,6 +52,10 @@ const NavSubItem: FC<NavItemProps> = ({
if (menuTimeout) clearTimeout(menuTimeout);
};
useEffect(() => {
handleCloseSubmenu();
}, [pathname]);
return (
<div
className={classNames({

View File

@@ -32,7 +32,7 @@ const CardinalityTotals: FC<CardinalityTotalsProps> = ({
const match = searchParams.get("match");
const focusLabel = searchParams.get("focusLabel");
const isMetric = /__name__/.test(match || "");
const showMetricNameStats = !(match || focusLabel);
const progress = totalSeries / totalSeriesAll * 100;
const diff = totalSeries - totalSeriesPrev;
const dynamic = Math.abs(diff) / totalSeriesPrev * 100;
@@ -56,7 +56,7 @@ const CardinalityTotals: FC<CardinalityTotalsProps> = ({
},
].filter(t => t.display);
if (!totals.length && !showMetricNameStats) {
if (!totals.length) {
return null;
}
@@ -75,7 +75,7 @@ const CardinalityTotals: FC<CardinalityTotalsProps> = ({
<h4 className="vm-cardinality-totals-card__title">
{info && (
<Tooltip title={<p className="vm-cardinality-totals-card__tooltip">{info}</p>}>
<div className="vm-cardinality-totals-card__info-icon"><InfoOutlinedIcon /></div>
<div className="vm-cardinality-totals-card__info-icon"><InfoOutlinedIcon/></div>
</Tooltip>
)}
{title}
@@ -99,10 +99,7 @@ const CardinalityTotals: FC<CardinalityTotalsProps> = ({
)}
</div>
))}
{
showMetricNameStats &&
<CardinalityMetricNameStats metricNameStats={metricNameStats} />
}
<CardinalityMetricNameStats metricNameStats={metricNameStats}/>
</div>
);
};

View File

@@ -62,13 +62,6 @@
padding-right: 40px;
}
.vm-annotations-table {
tbody > tr > td {
vertical-align: top;
white-space: pre-line;
}
}
display: flex;
flex-direction: column;
align-items: stretch;

View File

@@ -72,7 +72,7 @@ const Relabel: FC = () => {
<div className="vm-relabeling-header-configs">
<TextField
type="textarea"
label="Config"
label="Relabel configs"
value={config}
autofocus
onChange={handleChangeConfig}
@@ -82,9 +82,8 @@ const Relabel: FC = () => {
<div className="vm-relabeling-header__labels">
<TextField
type="textarea"
label="A time series"
label="Labels"
value={labels}
placeholder="up{job=&quot;job_name&quot;,instance=&quot;host:port&quot;}"
onChange={handleChangeLabels}
onEnter={handleRunQuery}
/>
@@ -98,22 +97,22 @@ const Relabel: FC = () => {
<Button
variant="text"
color="gray"
startIcon={<WikiIcon/>}
startIcon={<InfoIcon/>}
>
Relabeling cookbook
</Button>
</a>
<a
target="_blank"
href="https://docs.victoriametrics.com/victoriametrics/relabeling/#relabeling-stages"
href="https://docs.victoriametrics.com/victoriametrics/relabeling/"
rel="help noreferrer"
>
<Button
variant="text"
color="gray"
startIcon={<InfoIcon/>}
startIcon={<WikiIcon/>}
>
Relabeling Stages
Documentation
</Button>
</a>
<Button

View File

@@ -1,6 +1,6 @@
import { describe, it, expect } from "vitest";
import dayjs from "dayjs";
import { getMillisecondsFromDuration, getNanoTimestamp, parseSupportedDuration } from "./time";
import { getNanoTimestamp, parseSupportedDuration } from "./time";
describe("Time utils", () => {
describe("getNanoTimestamp", () => {
@@ -82,19 +82,4 @@ describe("Time utils", () => {
expect(parseSupportedDuration(" ")).toBeUndefined();
});
});
describe("getMillisecondsFromDuration", () => {
it("should convert valid durations to milliseconds", () => {
expect(getMillisecondsFromDuration("1s")).toBe(1000);
expect(getMillisecondsFromDuration("1.5s")).toBe(1500);
expect(getMillisecondsFromDuration("1m30s")).toBe(90000);
expect(getMillisecondsFromDuration("1h 30m")).toBe(5400000);
expect(getMillisecondsFromDuration("500ms")).toBe(500);
});
it("should return zero when duration cannot be parsed", () => {
expect(getMillisecondsFromDuration("garbage")).toBe(0);
expect(getMillisecondsFromDuration("")).toBe(0);
});
});
});

View File

@@ -16,7 +16,7 @@ const supportedValuesOf = Intl.supportedValuesOf;
export const supportedTimezones = supportedValuesOf ? supportedValuesOf("timeZone") as string[] : timezones;
// The list of supported units could be the following -
// https://prometheus.io/docs/prometheus/latest/querying/basics/#float-literals-and-time-durations
// https://prometheus.io/docs/prometheus/latest/querying/basics/#time-durations
export const supportedDurations = [
{ long: "years", short: "y", possible: "year" },
{ long: "weeks", short: "w", possible: "week" },
@@ -100,10 +100,6 @@ export const getSecondsFromDuration = (dur: string) => {
return dayjs.duration(durObject).asSeconds();
};
export const getMillisecondsFromDuration = (dur: string): number => {
return getSecondsFromDuration(dur) * 1000;
};
const instantQueryViews = [DisplayType.table, DisplayType.code];
export const getStepFromDuration = (dur: number, histogram?: boolean, displayType?: DisplayType): string => {
if (displayType && instantQueryViews.includes(displayType)) return roundStep(dur);
@@ -280,3 +276,4 @@ export const getNanoTimestamp = (dateStr: string): bigint => {
// Return the full timestamp in nanoseconds as a BigInt
return BigInt(baseMs) * 1000000n + BigInt(extraNano);
};

View File

@@ -1,358 +0,0 @@
package apptest
import (
"fmt"
"slices"
)
type TestData struct {
Samples []string
Step int64
WantSeries []map[string]string
WantLabels []string
WantLabelValues []string
WantQueryResults []*QueryResult
WantMetadata map[string][]MetadataEntry
WantMetricNamesStats []MetricNamesStatsRecord
}
func GenerateTestData(prefix string, numMetrics, start, end int64) TestData {
d := TestData{
Samples: []string{},
Step: (end - start) / numMetrics,
WantSeries: make([]map[string]string, numMetrics),
WantLabels: make([]string, numMetrics),
WantLabelValues: make([]string, numMetrics),
WantQueryResults: make([]*QueryResult, numMetrics),
WantMetadata: make(map[string][]MetadataEntry),
WantMetricNamesStats: make([]MetricNamesStatsRecord, numMetrics),
}
for i := range numMetrics {
metricName := fmt.Sprintf("%s_%04d", prefix, i)
metricHelp := fmt.Sprintf("# HELP %s some help message", metricName)
metricType := fmt.Sprintf("# TYPE %s gauge", metricName)
labelName := fmt.Sprintf("label_%04d", i)
labelValue := fmt.Sprintf("value_%04d", i)
value := i
timestamp := start + i*d.Step
sample := fmt.Sprintf(`%s{%s="value", label="%s"} %d %d`, metricName, labelName, labelValue, value, timestamp)
d.Samples = append(d.Samples, metricHelp, metricType, sample)
d.WantSeries[i] = map[string]string{
"__name__": metricName,
labelName: "value",
"label": labelValue,
}
d.WantLabels[i] = labelName
d.WantLabelValues[i] = labelValue
d.WantQueryResults[i] = &QueryResult{
Metric: map[string]string{
"__name__": metricName,
labelName: "value",
"label": labelValue,
},
Samples: []*Sample{{Timestamp: timestamp, Value: float64(value)}},
}
d.WantMetadata[metricName] = []MetadataEntry{{Help: "some help message", Type: "gauge"}}
d.WantMetricNamesStats[i].MetricName = metricName
}
d.WantLabels = append(d.WantLabels, "__name__", "label")
slices.Sort(d.WantLabels)
return d
}
// AssertSeries retrieves metric names from the storage and compares the result
// with the expected one.
func AssertSeries(tc *TestCase, app PrometheusQuerier, metricNameRE, tenantID string, start, end int64, want []map[string]string) {
tc.T().Helper()
query := fmt.Sprintf(`{__name__=~"%s"}`, metricNameRE)
tc.Assert(&AssertOptions{
Msg: "unexpected /prometheus/api/v1/series response",
Got: func() any {
tc.T().Helper()
return app.PrometheusAPIV1Series(tc.T(), query, QueryOpts{
Tenant: tenantID,
Start: fmt.Sprintf("%d", start),
End: fmt.Sprintf("%d", end),
}).Sort()
},
Want: &PrometheusAPIV1SeriesResponse{
Status: "success",
Data: want,
},
Retries: 1000,
FailNow: true,
})
}
// AssertSeriesCount retrieves series count and compares it with expected one.
func AssertSeriesCount(tc *TestCase, app PrometheusQuerier, tenantID string, start, end int64, want uint64) {
tc.T().Helper()
tc.Assert(&AssertOptions{
Msg: "unexpected /prometheus/api/v1/series/count response",
Got: func() any {
tc.T().Helper()
return app.PrometheusAPIV1SeriesCount(tc.T(), QueryOpts{
Tenant: tenantID,
Start: fmt.Sprintf("%d", start),
End: fmt.Sprintf("%d", end),
})
},
Want: &PrometheusAPIV1SeriesCountResponse{
Status: "success",
Data: []uint64{want},
},
FailNow: true,
})
}
// AssertLabels retrieves label names from the storage and compares the result
// with the expected one.
func AssertLabels(tc *TestCase, app PrometheusQuerier, metricNameRE, tenantID string, start, end int64, want []string) {
tc.T().Helper()
query := fmt.Sprintf(`{__name__=~"%s"}`, metricNameRE)
tc.Assert(&AssertOptions{
Msg: "unexpected /prometheus/api/v1/labels response",
Got: func() any {
tc.T().Helper()
res := app.PrometheusAPIV1Labels(tc.T(), query, QueryOpts{
Tenant: tenantID,
Start: fmt.Sprintf("%d", start),
End: fmt.Sprintf("%d", end),
})
slices.Sort(res.Data)
return res
},
Want: &PrometheusAPIV1LabelsResponse{
Status: "success",
Data: want,
},
FailNow: true,
})
}
// AssertLabelValues retrieves values for the label whose name is labelName for
// the series whose name mathes metricNameRE, compares the result with the
// expected one.
func AssertLabelValues(tc *TestCase, app PrometheusQuerier, metricNameRE, labelName, tenantID string, start, end int64, want []string) {
tc.T().Helper()
query := fmt.Sprintf(`{__name__=~"%s"}`, metricNameRE)
tc.Assert(&AssertOptions{
Msg: "unexpected /prometheus/api/v1/labels/.../values response",
Got: func() any {
tc.T().Helper()
res := app.PrometheusAPIV1LabelValues(tc.T(), labelName, query, QueryOpts{
Tenant: tenantID,
Start: fmt.Sprintf("%d", start),
End: fmt.Sprintf("%d", end),
})
slices.Sort(res.Data)
return res
},
Want: &PrometheusAPIV1LabelValuesResponse{
Status: "success",
Data: want,
},
FailNow: true,
})
}
// AssertQueryResults sends a data query to storage and compares the query
// result with the expected one.
func AssertQueryResults(tc *TestCase, app PrometheusQuerier, metricNameRE, tenantID string, start, end, step int64, want []*QueryResult) {
tc.T().Helper()
query := fmt.Sprintf(`{__name__=~"%s"}`, metricNameRE)
tc.Assert(&AssertOptions{
Msg: "unexpected /prometheus/api/v1/query_range response",
Got: func() any {
tc.T().Helper()
return app.PrometheusAPIV1QueryRange(tc.T(), query, QueryOpts{
Tenant: tenantID,
Start: fmt.Sprintf("%d", start),
End: fmt.Sprintf("%d", end),
Step: fmt.Sprintf("%dms", step),
MaxLookback: fmt.Sprintf("%dms", step-1),
NoCache: "1",
})
},
Want: &PrometheusAPIV1QueryResponse{
Status: "success",
Data: &QueryData{
ResultType: "matrix",
Result: want,
},
},
FailNow: true,
})
}
func AssertMetadata(tc *TestCase, app PrometheusQuerier, metricName, tenantID string, want map[string][]MetadataEntry) {
tc.T().Helper()
tc.Assert(&AssertOptions{
Msg: "unexpected /prometheus/api/v1/metadata response",
Got: func() any {
tc.T().Helper()
return app.PrometheusAPIV1Metadata(tc.T(), metricName, 0, QueryOpts{
Tenant: tenantID,
})
},
Want: &PrometheusAPIV1Metadata{
Status: "success",
Data: want,
},
FailNow: true,
})
}
func AssertMetricNamesStats(tc *TestCase, app PrometheusQuerier, metricNameRE, tenantID string, want []MetricNamesStatsRecord) {
tc.T().Helper()
tc.Assert(&AssertOptions{
Msg: "unexpected /prometheus/api/v1/status/metric_names_stats response",
Got: func() any {
tc.T().Helper()
return app.PrometheusAPIV1StatusMetricNamesStats(tc.T(), "", "", metricNameRE, QueryOpts{
Tenant: tenantID,
})
},
Want: MetricNamesStatsResponse{
Records: want,
},
FailNow: true,
})
}
// GraphiteTestData holds the data samples in Graphite Pickle format, distance
// between samples in milliseconds and expected responses for various Graphite
// API endpoints.
type GraphiteTestData struct {
Samples []string
Step int64
WantMetricsIndex []string
WantMetricsFind []GraphiteMetric
WantMetricsExpand []string
WantRenderedTargets []GraphiteRenderedTarget
}
// GenerateGraphiteTestData generates Graphite test data.
func GenerateGraphiteTestData(prefix string, numMetrics, start, end int64) GraphiteTestData {
d := GraphiteTestData{
Samples: make([]string, numMetrics),
Step: (end - start) / numMetrics,
WantMetricsIndex: make([]string, numMetrics),
WantMetricsFind: make([]GraphiteMetric, numMetrics),
WantMetricsExpand: make([]string, numMetrics),
WantRenderedTargets: make([]GraphiteRenderedTarget, numMetrics),
}
datapoints := make([][2]float64, numMetrics)
for i := range numMetrics {
timestamp := (start + i*d.Step) / 1000
datapoints[i][1] = float64(timestamp)
}
for i := range numMetrics {
suffix := fmt.Sprintf("%04d", i)
metricName := fmt.Sprintf("%s.%s", prefix, suffix)
value := i
timestamp := (start + i*d.Step) / 1000
sample := fmt.Sprintf(`%s %d %d`, metricName, value, timestamp)
d.Samples[i] = sample
d.WantMetricsIndex[i] = metricName
d.WantMetricsFind[i].Id = metricName
d.WantMetricsFind[i].Text = suffix
d.WantMetricsFind[i].Leaf = 1
d.WantMetricsExpand[i] = metricName
d.WantRenderedTargets[i].Target = metricName
d.WantRenderedTargets[i].Datapoints = slices.Clone(datapoints)
d.WantRenderedTargets[i].Datapoints[i][0] = float64(value)
}
return d
}
// AssertGraphiteMetricsIndex retrieves all metrics by sending a request to
// /graphite/metrics/index.json and compares the result with the expected one.
func AssertGraphiteMetricsIndex(tc *TestCase, app PrometheusQuerier, tenantID string, want []string) {
tc.T().Helper()
tc.Assert(&AssertOptions{
Msg: "unexpected /graphite/metrics/index.json response",
Got: func() any {
tc.T().Helper()
return app.GraphiteMetricsIndex(tc.T(), QueryOpts{
Tenant: tenantID,
})
},
Want: want,
Retries: 30,
FailNow: true,
})
}
// AssertGraphiteMetricsFind finds metric names by sending a request to
// /graphite/metrics/find and compares the result with the expected one.
func AssertGraphiteMetricsFind(tc *TestCase, app PrometheusQuerier, query, tenantID string, want []GraphiteMetric) {
tc.T().Helper()
tc.Assert(&AssertOptions{
Msg: "unexpected /graphite/metrics/find response",
Got: func() any {
tc.T().Helper()
return app.GraphiteMetricsFind(tc.T(), query, QueryOpts{
Tenant: tenantID,
})
},
Want: want,
FailNow: true,
})
}
// AssertGraphiteMetricsFind expands metric names by sending a request to
// /graphite/metrics/expand and compares the result with the expected one.
func AssertGraphiteMetricsExpand(tc *TestCase, app PrometheusQuerier, query, tenantID string, want []string) {
tc.T().Helper()
tc.Assert(&AssertOptions{
Msg: "unexpected /graphite/metrics/expand response",
Got: func() any {
tc.T().Helper()
return app.GraphiteMetricsExpand(tc.T(), query, QueryOpts{
Tenant: tenantID,
})
},
Want: want,
FailNow: true,
})
}
// AssertGraphiteRender retieves metric raw data by sending a request to
// /graphite/render and compares the result with the expected one.
func AssertGraphiteRender(tc *TestCase, app PrometheusQuerier, target, tenantID string, from, until, step int64, want []GraphiteRenderedTarget) {
tc.T().Helper()
tc.Assert(&AssertOptions{
Msg: "unexpected /graphite/render response",
Got: func() any {
tc.T().Helper()
return app.GraphiteRender(tc.T(), target, QueryOpts{
Tenant: tenantID,
From: fmt.Sprintf("%d", from/1000),
Until: fmt.Sprintf("%d", until/1000),
StorageStep: fmt.Sprintf("%dms", step),
})
},
Want: want,
FailNow: true,
})
}

View File

@@ -1,222 +0,0 @@
package tests
import (
"fmt"
"path/filepath"
"testing"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/apptest"
)
func TestSingleMaxBackfillAge(t *testing.T) {
tc := apptest.NewTestCase(t)
defer tc.Stop()
opts := maxBackfillAgeOpts{
start: func(retentionPeriod, maxBackfillAge string) apptest.PrometheusWriteQuerier {
return tc.MustStartVmsingle("vmsingle", []string{
"-storageDataPath=" + filepath.Join(tc.Dir(), "vmsingle"),
"-retentionPeriod=" + retentionPeriod,
"-maxBackfillAge=" + maxBackfillAge,
})
},
stop: func() {
tc.StopApp("vmsingle")
},
}
testMaxBackfillAge(tc, opts)
}
func TestClusterMaxBackfillAge(t *testing.T) {
tc := apptest.NewTestCase(t)
defer tc.Stop()
opts := maxBackfillAgeOpts{
start: func(retentionPeriod, maxBackfillAge string) apptest.PrometheusWriteQuerier {
return tc.MustStartCluster(&apptest.ClusterOptions{
Vmstorage1Instance: "vmstorage1",
Vmstorage1Flags: []string{
"-storageDataPath=" + filepath.Join(tc.Dir(), "vmstorage1"),
"-retentionPeriod=" + retentionPeriod,
"-maxBackfillAge=" + maxBackfillAge,
},
Vmstorage2Instance: "vmstorage2",
Vmstorage2Flags: []string{
"-storageDataPath=" + filepath.Join(tc.Dir(), "vmstorage2"),
"-retentionPeriod=" + retentionPeriod,
"-maxBackfillAge=" + maxBackfillAge,
},
VminsertInstance: "vminsert",
VminsertFlags: []string{},
VmselectInstance: "vmselect",
VmselectFlags: []string{},
})
},
stop: func() {
tc.StopApp("vminsert")
tc.StopApp("vmselect")
tc.StopApp("vmstorage1")
tc.StopApp("vmstorage2")
},
}
testMaxBackfillAge(tc, opts)
}
type maxBackfillAgeOpts struct {
start func(retentionPeriod, maxBackfillAge string) apptest.PrometheusWriteQuerier
stop func()
}
func testMaxBackfillAge(tc *apptest.TestCase, opts maxBackfillAgeOpts) {
t := tc.T()
assertSeries := func(app apptest.PrometheusQuerier, prefix string, start, end int64, want []map[string]string) {
t.Helper()
query := fmt.Sprintf(`{__name__=~"metric_%s.*"}`, prefix)
tc.Assert(&apptest.AssertOptions{
Msg: "unexpected /api/v1/series response",
Got: func() any {
return app.PrometheusAPIV1Series(t, query, apptest.QueryOpts{
Start: fmt.Sprintf("%d", start),
End: fmt.Sprintf("%d", end),
}).Sort()
},
Want: &apptest.PrometheusAPIV1SeriesResponse{
Status: "success",
Data: want,
},
FailNow: true,
})
}
assertQueryResults := func(app apptest.PrometheusQuerier, prefix string, start, end, step int64, want []*apptest.QueryResult) {
t.Helper()
query := fmt.Sprintf(`{__name__=~"metric_%s.*"}`, prefix)
tc.Assert(&apptest.AssertOptions{
Msg: "unexpected /api/v1/query_range response",
Got: func() any {
return app.PrometheusAPIV1QueryRange(t, query, apptest.QueryOpts{
Start: fmt.Sprintf("%d", start),
End: fmt.Sprintf("%d", end),
Step: fmt.Sprintf("%dms", step),
MaxLookback: fmt.Sprintf("%dms", step-1),
NoCache: "1",
})
},
Want: &apptest.PrometheusAPIV1QueryResponse{
Status: "success",
Data: &apptest.QueryData{
ResultType: "matrix",
Result: want,
},
},
FailNow: true,
})
}
const numMetrics = 1000
now := time.Now().UTC()
var start, end, step int64
emptySeries := []map[string]string{}
emptyQueryResults := []*apptest.QueryResult{}
// Start sut with the same -retentionPeriod and -maxBackfillAge.
sut := opts.start("1y", "1y")
// Verify that samples older than the retention period are rejected.
start = now.Add(-365 * 24 * time.Hour).Add(-time.Hour).UnixMilli()
end = now.Add(-365 * 24 * time.Hour).UnixMilli()
step = (end - start) / numMetrics
outsideRetention := genMaxBackfillAgeData("outside_retention", numMetrics, start, step)
sut.PrometheusAPIV1ImportPrometheus(t, outsideRetention.samples, apptest.QueryOpts{})
sut.ForceFlush(t)
assertSeries(sut, "outside_retention", start, end, emptySeries)
assertQueryResults(sut, "outside_retention", start, end, step, emptyQueryResults)
// Verify that samples within the retention period are accepted and
// searcheable.
start = now.Add(-365 * 24 * time.Hour).Add(time.Hour).UnixMilli()
end = now.Add(-365 * 24 * time.Hour).Add(2 * time.Hour).UnixMilli()
step = (end - start) / numMetrics
insideRetention := genMaxBackfillAgeData("inside_retention", numMetrics, start, step)
sut.PrometheusAPIV1ImportPrometheus(t, insideRetention.samples, apptest.QueryOpts{})
sut.ForceFlush(t)
assertSeries(sut, "inside_retention", start, end, insideRetention.wantSeries)
assertQueryResults(sut, "inside_retention", start, end, step, insideRetention.wantQueryResults)
// Restart sut with -maxBackfillAge shorter than the -retentionPeriod.
opts.stop()
sut = opts.start("1y", "6M")
// Verify that new samples older than max backfill age but still within the
// retention period are rejected but existing samples are still searcheable.
start = now.Add(-365 * 24 * time.Hour).Add(time.Hour).UnixMilli()
end = now.Add(-365 * 24 * time.Hour).Add(2 * time.Hour).UnixMilli()
step = (end - start) / numMetrics
insideRetention2 := genMaxBackfillAgeData("inside_retention2", numMetrics, start, step)
sut.PrometheusAPIV1ImportPrometheus(t, insideRetention2.samples, apptest.QueryOpts{})
sut.ForceFlush(t)
assertSeries(sut, "inside_retention2", start, end, emptySeries)
assertQueryResults(sut, "inside_retention2", start, end, step, emptyQueryResults)
assertSeries(sut, "inside_retention", start, end, insideRetention.wantSeries)
assertQueryResults(sut, "inside_retention", start, end, step, insideRetention.wantQueryResults)
// Verify that the metrics that are outside the backfill window can still
// be deleted.
sut.PrometheusAPIV1AdminTSDBDeleteSeries(t, `{__name__=~".*inside_retention.*"}`, apptest.QueryOpts{})
sut.ForceFlush(t)
assertSeries(sut, "inside_retention", start, end, emptySeries)
assertQueryResults(sut, "inside_retention", start, end, step, emptyQueryResults)
// Verify that the samples that are within the backfill window are accepted
// and searchable.
start = now.Add(-180 * 24 * time.Hour).UnixMilli()
end = now.Add(-180 * 24 * time.Hour).Add(1 * time.Hour).UnixMilli()
step = (end - start) / numMetrics
insideMaxBackfillAge := genMaxBackfillAgeData("inside_max_backfill_age", numMetrics, start, step)
sut.PrometheusAPIV1ImportPrometheus(t, insideMaxBackfillAge.samples, apptest.QueryOpts{})
sut.ForceFlush(t)
assertSeries(sut, "inside_max_backfill_age", start, end, insideMaxBackfillAge.wantSeries)
assertQueryResults(sut, "inside_max_backfill_age", start, end, step, insideMaxBackfillAge.wantQueryResults)
opts.stop()
}
type maxBackfillAgeData struct {
samples []string
wantSeries []map[string]string
wantQueryResults []*apptest.QueryResult
}
func genMaxBackfillAgeData(prefix string, numMetrics, start, step int64) maxBackfillAgeData {
samples := make([]string, numMetrics)
wantSeries := make([]map[string]string, numMetrics)
wantQueryResults := make([]*apptest.QueryResult, numMetrics)
for i := range numMetrics {
metricName := fmt.Sprintf("metric_%s_%04d", prefix, i)
labelName := fmt.Sprintf("label_%s_%04d", prefix, i)
labelValue := fmt.Sprintf("value_%s_%04d", prefix, i)
value := i
timestamp := start + i*step
samples[i] = fmt.Sprintf(`%s{%s="value", label="%s"} %d %d`, metricName, labelName, labelValue, value, timestamp)
wantSeries[i] = map[string]string{
"__name__": metricName,
labelName: "value",
"label": labelValue,
}
wantQueryResults[i] = &apptest.QueryResult{
Metric: map[string]string{
"__name__": metricName,
labelName: "value",
"label": labelValue,
},
Samples: []*apptest.Sample{{Timestamp: timestamp, Value: float64(value)}},
}
}
return maxBackfillAgeData{samples, wantSeries, wantQueryResults}
}

View File

@@ -2,7 +2,6 @@ package tests
import (
"fmt"
"math"
"testing"
"github.com/google/go-cmp/cmp"
@@ -26,11 +25,7 @@ func TestSingleMetricsMetadata(t *testing.T) {
if len(resp.Data) != 0 {
t.Fatalf("unexpected resp Records: %d, want: %d", len(resp.Data), 0)
}
generateValueExceedLimit := func(prefix string) string {
buf := make([]byte, math.MaxUint16+len(prefix))
copy(buf, prefix)
return string(buf)
}
const ingestTimestamp = 1707123456700
prometheusTextDataSet := []string{
`# HELP metric_name_1 some help message`,
@@ -45,12 +40,6 @@ func TestSingleMetricsMetadata(t *testing.T) {
`# TYPE metric_name_3 gauge`,
`metric_name_3{label="baz"} 30`,
}
prometheusTextDataSet = append(prometheusTextDataSet,
`# HELP metric_name_4 `+generateValueExceedLimit("large help"),
`# TYPE metric_name_4 gauge`,
`metric_name_4{label="baz"} 30`,
)
prometheusRemoteWriteDataSet := prompb.WriteRequest{
Timeseries: []prompb.TimeSeries{
{Labels: []prompb.Label{{Name: "__name__", Value: "metric_name_4"}}, Samples: []prompb.Sample{{Value: 40, Timestamp: ingestTimestamp}}},
@@ -63,9 +52,6 @@ func TestSingleMetricsMetadata(t *testing.T) {
{MetricFamilyName: "metric_name_5", Help: "some help message", Type: prompb.MetricTypeSummary},
{MetricFamilyName: "metric_name_6", Help: "some help message", Type: prompb.MetricTypeStateset},
{MetricFamilyName: `metric_name_7_!@"_suffix`, Help: "some help message", Type: prompb.MetricTypeStateset},
{MetricFamilyName: "metric_name_8", Help: generateValueExceedLimit("large_help"), Type: prompb.MetricTypeStateset},
{MetricFamilyName: "metric_name_9", Help: "some help message", Type: prompb.MetricTypeStateset, Unit: generateValueExceedLimit("large_unit")},
{MetricFamilyName: generateValueExceedLimit("metric_name_10"), Help: "some help message", Type: prompb.MetricTypeStateset},
},
}
@@ -151,11 +137,6 @@ func TestClusterMetricsMetadata(t *testing.T) {
if len(resp.Data) != 0 {
t.Fatalf("unexpected resp Records: %d, want: %d", len(resp.Data), 0)
}
generateValueExceedLimit := func(prefix string) string {
buf := make([]byte, math.MaxUint16+len(prefix))
copy(buf, prefix)
return string(buf)
}
const ingestTimestamp = 1707123456700
prometheusTextDataSet := []string{
@@ -171,11 +152,6 @@ func TestClusterMetricsMetadata(t *testing.T) {
`# TYPE metric_name_3 gauge`,
`metric_name_3{label="baz"} 30`,
}
prometheusTextDataSet = append(prometheusTextDataSet,
`# HELP metric_name_4 `+generateValueExceedLimit("large help"),
`# TYPE metric_name_4 gauge`,
`metric_name_4{label="baz"} 30`,
)
prometheusRemoteWriteDataSet := prompb.WriteRequest{
Timeseries: []prompb.TimeSeries{
{Labels: []prompb.Label{{Name: "__name__", Value: "metric_name_4"}}, Samples: []prompb.Sample{{Value: 40, Timestamp: ingestTimestamp}}},
@@ -188,9 +164,6 @@ func TestClusterMetricsMetadata(t *testing.T) {
{MetricFamilyName: "metric_name_5", Help: "some help message", Type: prompb.MetricTypeSummary},
{MetricFamilyName: "metric_name_6", Help: "some help message", Type: prompb.MetricTypeStateset},
{MetricFamilyName: `metric_name_7_!@"_suffix`, Help: "some help message", Type: prompb.MetricTypeStateset},
{MetricFamilyName: "metric_name_8", Help: generateValueExceedLimit("large_help"), Type: prompb.MetricTypeStateset},
{MetricFamilyName: "metric_name_9", Help: "some help message", Type: prompb.MetricTypeStateset, Unit: generateValueExceedLimit("large_unit")},
{MetricFamilyName: generateValueExceedLimit("metric_name_10"), Help: "some help message", Type: prompb.MetricTypeStateset},
},
}

View File

@@ -517,15 +517,10 @@ func TestClusterVMAgentForwardMetricsMetadata(t *testing.T) {
"-remoteWrite.tmpDataPath=" + tc.Dir() + "/vmagent",
fmt.Sprintf(`-remoteWrite.url=http://%s/insert/multitenant/prometheus/api/v1/write`, sut.Vminsert.HTTPAddr()),
})
generateValueExceedLimit := func(prefix string) string {
buf := make([]byte, math.MaxUint16+len(prefix))
copy(buf, prefix)
return string(buf)
}
prometheusRemoteWriteDataSet := prompb.WriteRequest{
Metadata: []prompb.MetricMetadata{
{MetricFamilyName: "metric_name_4", Help: "some help message", Type: prompb.MetricTypeSummary, AccountID: 100},
{MetricFamilyName: "metric_name_8", Help: generateValueExceedLimit("large_help"), Type: prompb.MetricTypeStateset, AccountID: 100},
},
}
vmagent.PrometheusAPIV1Write(t, prometheusRemoteWriteDataSet, apptest.QueryOpts{Tenant: "multitenant"})

View File

@@ -1,216 +0,0 @@
package tests
import (
"fmt"
"path/filepath"
"slices"
"strconv"
"testing"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/apptest"
"github.com/google/go-cmp/cmp"
)
func TestMixedPrometheusQueries(t *testing.T) {
tc := apptest.NewTestCase(t)
defer tc.Stop()
const (
accountID1 = 12
projectID1 = 34
accountID2 = 56
projectID2 = 78
numMetrics = 10
)
tenantID1 := fmt.Sprintf("%d:%d", accountID1, projectID1)
tenantID2 := fmt.Sprintf("%d:%d", accountID2, projectID2)
start := time.Date(2026, 1, 1, 0, 0, 0, 0, time.UTC).UnixMilli()
end := time.Date(2026, 1, 2, 0, 0, 0, 0, time.UTC).UnixMilli()
data := apptest.GenerateTestData("metric", numMetrics, start, end)
emptySeries := []map[string]string{}
emptyLabels := []string{}
emptyLabelValues := []string{}
emptyQueryResults := []*apptest.QueryResult{}
emptyMetadata := map[string][]apptest.MetadataEntry{}
emptyMetricNamesStats := []apptest.MetricNamesStatsRecord{}
vmsingle := tc.MustStartVmsingle("vmsingle", []string{
"-storageDataPath=" + filepath.Join(tc.Dir(), "vmsingle"),
"-retentionPeriod=100y",
fmt.Sprintf("-accountID=%d", accountID1),
fmt.Sprintf("-projectID=%d", projectID1),
})
vmselect := tc.MustStartVmselect("vmselect", []string{
"-storageNode=" + vmsingle.VmselectAddr(),
})
vmsingle.PrometheusAPIV1ImportPrometheus(tc.T(), data.Samples, apptest.QueryOpts{})
vmsingle.ForceFlush(t)
// Ensure vmsingle returns data.
apptest.AssertSeries(tc, vmsingle, "metric.*", "", start, end, data.WantSeries)
apptest.AssertSeriesCount(tc, vmsingle, "", start, end, numMetrics)
apptest.AssertLabels(tc, vmsingle, "metric.*", "", start, end, data.WantLabels)
apptest.AssertLabelValues(tc, vmsingle, "metric.*", "label", "", start, end, data.WantLabelValues)
apptest.AssertQueryResults(tc, vmsingle, "metric.*", "", start, end, data.Step, data.WantQueryResults)
apptest.AssertMetadata(tc, vmsingle, "", "", data.WantMetadata)
for i := range data.WantMetricNamesStats {
data.WantMetricNamesStats[i].QueryRequestsCount = 1
}
apptest.AssertMetricNamesStats(tc, vmsingle, "", "", data.WantMetricNamesStats)
// Check that current vmsingle tenant (configured via flags) is tenant1.
gotAdminTenantsResponse := vmselect.APIV1AdminTenants(t, apptest.QueryOpts{})
wantAdminTenantsResponse := &apptest.AdminTenantsResponse{
Status: "success",
Data: []string{tenantID1},
}
if diff := cmp.Diff(wantAdminTenantsResponse, gotAdminTenantsResponse); diff != "" {
t.Fatalf("unexpected tenants (-want, +got):\n%s", diff)
}
// Ensure vmselect returns data for tenant1.
apptest.AssertSeries(tc, vmselect, "metric.*", tenantID1, start, end, data.WantSeries)
apptest.AssertSeriesCount(tc, vmselect, tenantID1, start, end, numMetrics)
apptest.AssertLabels(tc, vmselect, "metric.*", tenantID1, start, end, data.WantLabels)
apptest.AssertLabelValues(tc, vmselect, "metric.*", "label", tenantID1, start, end, data.WantLabelValues)
apptest.AssertQueryResults(tc, vmselect, "metric.*", tenantID1, start, end, data.Step, data.WantQueryResults)
apptest.AssertMetadata(tc, vmselect, "", tenantID1, data.WantMetadata)
for i := range data.WantMetricNamesStats {
data.WantMetricNamesStats[i].QueryRequestsCount = 2
}
apptest.AssertMetricNamesStats(tc, vmselect, "", tenantID1, data.WantMetricNamesStats)
// Ensure vmselect does not return any data for tenant2.
apptest.AssertSeries(tc, vmselect, "metric.*", tenantID2, start, end, emptySeries)
apptest.AssertSeriesCount(tc, vmselect, tenantID2, start, end, 0)
apptest.AssertLabels(tc, vmselect, "metric.*", tenantID2, start, end, emptyLabels)
apptest.AssertLabelValues(tc, vmselect, "metric.*", "label", tenantID2, start, end, emptyLabelValues)
apptest.AssertQueryResults(tc, vmselect, "metric.*", tenantID2, start, end, data.Step, emptyQueryResults)
apptest.AssertMetadata(tc, vmselect, "", tenantID2, emptyMetadata)
apptest.AssertMetricNamesStats(tc, vmselect, "", tenantID2, emptyMetricNamesStats)
// Ensure vmselect returns data for multitenant.
for _, v := range data.WantSeries {
v["vm_account_id"] = strconv.Itoa(accountID1)
v["vm_project_id"] = strconv.Itoa(projectID1)
}
apptest.AssertSeries(tc, vmselect, "metric.*", "multitenant", start, end, data.WantSeries)
data.WantLabels = append(data.WantLabels, "vm_account_id", "vm_project_id")
apptest.AssertLabels(tc, vmselect, "metric.*", "multitenant", start, end, data.WantLabels)
apptest.AssertLabelValues(tc, vmselect, "metric.*", "label", "multitenant", start, end, data.WantLabelValues)
for _, v := range data.WantQueryResults {
v.Metric["vm_account_id"] = strconv.Itoa(accountID1)
v.Metric["vm_project_id"] = strconv.Itoa(projectID1)
}
apptest.AssertQueryResults(tc, vmselect, "metric.*", "multitenant", start, end, data.Step, data.WantQueryResults)
apptest.AssertMetadata(tc, vmselect, "", "multitenant", data.WantMetadata)
for i := range data.WantMetricNamesStats {
data.WantMetricNamesStats[i].QueryRequestsCount = 3
}
apptest.AssertMetricNamesStats(tc, vmselect, "", "multitenant", data.WantMetricNamesStats)
}
func TestMixedDeleteSeries(t *testing.T) {
tc := apptest.NewTestCase(t)
defer tc.Stop()
const (
accountID1 = 12
projectID1 = 34
accountID2 = 56
projectID2 = 78
numMetrics = 10
)
tenantID1 := fmt.Sprintf("%d:%d", accountID1, projectID1)
tenantID2 := fmt.Sprintf("%d:%d", accountID2, projectID2)
start := time.Date(2026, 1, 1, 0, 0, 0, 0, time.UTC).UnixMilli()
end := time.Date(2026, 1, 2, 0, 0, 0, 0, time.UTC).UnixMilli()
data1 := apptest.GenerateTestData("metric1", numMetrics, start, end)
data2 := apptest.GenerateTestData("metric2", numMetrics, start, end)
emptySeries := []map[string]string{}
vmsingle := tc.MustStartVmsingle("vmsingle", []string{
"-storageDataPath=" + filepath.Join(tc.Dir(), "vmsingle"),
"-retentionPeriod=100y",
fmt.Sprintf("-accountID=%d", accountID1),
fmt.Sprintf("-projectID=%d", projectID1),
})
vmselect := tc.MustStartVmselect("vmselect", []string{
"-storageNode=" + vmsingle.VmselectAddr(),
})
vmsingle.PrometheusAPIV1ImportPrometheus(tc.T(), data1.Samples, apptest.QueryOpts{})
vmsingle.PrometheusAPIV1ImportPrometheus(tc.T(), data2.Samples, apptest.QueryOpts{})
vmsingle.ForceFlush(t)
wantSeries12 := slices.Concat(data1.WantSeries, data2.WantSeries)
apptest.AssertSeries(tc, vmsingle, "metric.*", "", start, end, wantSeries12)
vmselect.PrometheusAPIV1AdminTSDBDeleteSeries(tc.T(), `{__name__=~"metric1.*"}`, apptest.QueryOpts{
Tenant: tenantID1,
})
apptest.AssertSeries(tc, vmsingle, "metric.*", "", start, end, data2.WantSeries)
vmselect.PrometheusAPIV1AdminTSDBDeleteSeries(tc.T(), `{__name__=~"metric2.*"}`, apptest.QueryOpts{
Tenant: tenantID2,
})
apptest.AssertSeries(tc, vmsingle, "metric.*", "", start, end, data2.WantSeries)
vmselect.PrometheusAPIV1AdminTSDBDeleteSeries(tc.T(), `{__name__=~"metric2.*"}`, apptest.QueryOpts{
Tenant: "multitenant",
})
apptest.AssertSeries(tc, vmsingle, "metric.*", "", start, end, emptySeries)
}
func TestMixedGraphiteQueries(t *testing.T) {
tc := apptest.NewTestCase(t)
defer tc.Stop()
const (
accountID1 = 12
projectID1 = 34
accountID2 = 56
projectID2 = 78
numMetrics = 10
)
tenantID1 := fmt.Sprintf("%d:%d", accountID1, projectID1)
tenantID2 := fmt.Sprintf("%d:%d", accountID2, projectID2)
start := time.Date(2026, 1, 1, 0, 0, 0, 0, time.UTC).UnixMilli()
end := time.Date(2026, 1, 2, 0, 0, 0, 0, time.UTC).UnixMilli()
data := apptest.GenerateGraphiteTestData("metric", numMetrics, start, end)
emptyMetricsIndex := []string{}
emptyMetricsFind := []apptest.GraphiteMetric{}
emptyMetricsExpand := []string{}
emptyRenderedTargets := []apptest.GraphiteRenderedTarget{}
vmsingle := tc.MustStartVmsingle("vmsingle", []string{
"-storageDataPath=" + filepath.Join(tc.Dir(), "vmsingle"),
"-retentionPeriod=100y",
fmt.Sprintf("-accountID=%d", accountID1),
fmt.Sprintf("-projectID=%d", projectID1),
})
vmselect := tc.MustStartVmselect("vmselect", []string{
"-storageNode=" + vmsingle.VmselectAddr(),
})
vmsingle.GraphiteWrite(tc.T(), data.Samples, apptest.QueryOpts{})
vmsingle.ForceFlush(t)
// Ensure vmsingle returns data.
apptest.AssertGraphiteMetricsIndex(tc, vmsingle, "", data.WantMetricsIndex)
apptest.AssertGraphiteMetricsFind(tc, vmsingle, "metric.*", "", data.WantMetricsFind)
apptest.AssertGraphiteMetricsExpand(tc, vmsingle, "metric.*", "", data.WantMetricsExpand)
apptest.AssertGraphiteRender(tc, vmsingle, "metric.*", "", start, end, data.Step, data.WantRenderedTargets)
// Ensure vmselect returns data for tenant1.
apptest.AssertGraphiteMetricsIndex(tc, vmselect, tenantID1, data.WantMetricsIndex)
apptest.AssertGraphiteMetricsFind(tc, vmselect, "metric.*", tenantID1, data.WantMetricsFind)
apptest.AssertGraphiteMetricsExpand(tc, vmselect, "metric.*", tenantID1, data.WantMetricsExpand)
apptest.AssertGraphiteRender(tc, vmselect, "metric.*", tenantID1, start, end, data.Step, data.WantRenderedTargets)
// Ensure vmselect does not return any data for tenant2.
apptest.AssertGraphiteMetricsIndex(tc, vmselect, tenantID2, emptyMetricsIndex)
apptest.AssertGraphiteMetricsFind(tc, vmselect, "metric.*", tenantID2, emptyMetricsFind)
apptest.AssertGraphiteMetricsExpand(tc, vmselect, "metric.*", tenantID2, emptyMetricsExpand)
apptest.AssertGraphiteRender(tc, vmselect, "metric.*", tenantID2, start, end, data.Step, emptyRenderedTargets)
}

View File

@@ -25,14 +25,12 @@ func StartVmsingle(instance string, flags []string, cli *Client, output io.Write
"-httpListenAddr": "127.0.0.1:0",
"-graphiteListenAddr": "127.0.0.1:0",
"-opentsdbListenAddr": "127.0.0.1:0",
"-vmselectAddr": "127.0.0.1:0",
},
extractREs: []*regexp.Regexp{
storageDataPathRE,
httpListenAddrRE,
graphiteListenAddrRE,
openTSDBListenAddrRE,
vmselectAddrRE,
},
output: output,
})
@@ -45,7 +43,6 @@ func StartVmsingle(instance string, flags []string, cli *Client, output io.Write
httpListenAddr: stderrExtracts[1],
graphiteListenAddr: stderrExtracts[2],
openTSDBListenAddr: stderrExtracts[3],
vmselectAddr: stderrExtracts[4],
}), nil
}
@@ -54,7 +51,6 @@ type vmsingleRuntimeValues struct {
httpListenAddr string
graphiteListenAddr string
openTSDBListenAddr string
vmselectAddr string
}
func newVmsingle(app *app, cli *Client, rt vmsingleRuntimeValues) *Vmsingle {
@@ -89,7 +85,6 @@ func newVmsingle(app *app, cli *Client, rt vmsingleRuntimeValues) *Vmsingle {
},
storageDataPath: rt.storageDataPath,
httpListenAddr: rt.httpListenAddr,
vmselectAddr: rt.vmselectAddr,
}
}
@@ -104,7 +99,6 @@ type Vmsingle struct {
storageDataPath string
httpListenAddr string
vmselectAddr string
}
// HTTPAddr returns the address at which the vminsert process is
@@ -113,12 +107,6 @@ func (app *Vmsingle) HTTPAddr() string {
return app.httpListenAddr
}
// VmselectAddr returns the address at which the vmsingle process is listening
// for vmselect connections.
func (app *Vmsingle) VmselectAddr() string {
return app.vmselectAddr
}
// String returns the string representation of the vmsingle app state.
func (app *Vmsingle) String() string {
return fmt.Sprintf("{app: %s storageDataPath: %q httpListenAddr: %q}", []any{

View File

@@ -1,59 +1,4 @@
{
"__inputs": [
{
"name": "DS_VICTORIALOGS",
"label": "VictoriaLogs",
"description": "",
"type": "datasource",
"pluginId": "victoriametrics-logs-datasource",
"pluginName": "VictoriaLogs"
}
],
"__elements": {},
"__requires": [
{
"type": "grafana",
"id": "grafana",
"name": "Grafana",
"version": "12.4.3"
},
{
"type": "panel",
"id": "logs",
"name": "Logs",
"version": ""
},
{
"type": "panel",
"id": "stat",
"name": "Stat",
"version": ""
},
{
"type": "panel",
"id": "table",
"name": "Table",
"version": ""
},
{
"type": "panel",
"id": "text",
"name": "Text",
"version": ""
},
{
"type": "panel",
"id": "timeseries",
"name": "Time series",
"version": ""
},
{
"type": "datasource",
"id": "victoriametrics-logs-datasource",
"name": "VictoriaLogs",
"version": "0.29.0"
}
],
"annotations": {
"list": [
{
@@ -73,6 +18,7 @@
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 0,
"id": 861,
"links": [
{
"icon": "doc",
@@ -132,8 +78,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
}
]
}
@@ -164,7 +109,7 @@
"textMode": "auto",
"wideLayout": true
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -172,7 +117,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| type:=\"instant\"\n| count()",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| type:=\"instant\"\n| count()",
"queryType": "stats",
"refId": "A"
}
@@ -195,8 +140,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
}
]
}
@@ -227,7 +171,7 @@
"textMode": "auto",
"wideLayout": true
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -235,7 +179,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash \n| type:=\"range\"\n| count()",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash) \n| type:=\"range\"\n| count()",
"queryType": "stats",
"refId": "A"
}
@@ -258,8 +202,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
}
]
}
@@ -290,7 +233,7 @@
"textMode": "auto",
"wideLayout": true
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -298,7 +241,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash \n| series_fetched:=0\n| count()",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash) \n| series_fetched:=0\n| count()",
"queryType": "stats",
"refId": "A"
}
@@ -322,8 +265,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
}
]
},
@@ -355,7 +297,7 @@
"textMode": "auto",
"wideLayout": true
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -363,7 +305,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash \n| stats min(start_ms)\n",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash) \n| stats min(start_ms)\n",
"queryType": "stats",
"refId": "A"
}
@@ -385,6 +327,10 @@
"type": "row"
},
{
"fieldConfig": {
"defaults": {},
"overrides": []
},
"gridPos": {
"h": 2,
"w": 24,
@@ -401,7 +347,8 @@
"content": "To filter by specific query copy its hash from the table and put it into `query_hash` filter on the top. To disable filtering enter `*`.",
"mode": "markdown"
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"title": "",
"transparent": true,
"type": "text"
},
@@ -420,9 +367,6 @@
"cellOptions": {
"type": "auto"
},
"footer": {
"reducers": []
},
"inspect": false
},
"mappings": [],
@@ -430,8 +374,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -480,6 +423,18 @@
"value": 204
}
]
},
{
"matcher": {
"id": "byName",
"options": "duration_max"
},
"properties": [
{
"id": "custom.width",
"value": 122
}
]
}
]
},
@@ -492,10 +447,18 @@
"id": 4,
"options": {
"cellHeight": "sm",
"footer": {
"countRows": false,
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -503,7 +466,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| stats by(tenant,query,query_hash) max(execution_duration_ms) duration_max \n| sort by(duration_max) desc | limit $top",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| stats by(tenant,query,query_hash) max(execution_duration_ms) duration_max \n| sort by(duration_max) desc | limit $top",
"queryType": "instant",
"refId": "A"
}
@@ -515,7 +478,7 @@
"options": {
"delimiter": ",",
"replace": true,
"source": "labels"
"source": "Line"
}
},
{
@@ -570,7 +533,6 @@
"type": "linear"
},
"showPoints": "auto",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
@@ -585,8 +547,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -619,7 +580,7 @@
"sort": "none"
}
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -627,7 +588,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| stats max(execution_duration_ms) execution_duration_max",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| stats max(execution_duration_ms) execution_duration_max",
"queryType": "statsRange",
"refId": "A"
}
@@ -650,9 +611,6 @@
"cellOptions": {
"type": "auto"
},
"footer": {
"reducers": []
},
"inspect": false
},
"mappings": [],
@@ -660,8 +618,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -723,10 +680,18 @@
"interval": "1m",
"options": {
"cellHeight": "sm",
"footer": {
"countRows": false,
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -734,7 +699,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| stats by(tenant,query,query_hash) max(series_fetched) series_fetched_max\n| sort by(series_fetched_max) desc | limit $top",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| stats by(tenant,query,query_hash) max(series_fetched) series_fetched_max\n| sort by(series_fetched_max) desc | limit $top",
"queryType": "instant",
"refId": "A"
}
@@ -746,7 +711,7 @@
"options": {
"delimiter": ",",
"replace": true,
"source": "labels"
"source": "Line"
}
},
{
@@ -801,7 +766,6 @@
"type": "linear"
},
"showPoints": "auto",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
@@ -816,8 +780,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -850,7 +813,7 @@
"sort": "none"
}
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -858,7 +821,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| stats max(series_fetched) series_fetched_max",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| stats max(series_fetched) series_fetched_max",
"queryType": "statsRange",
"refId": "A"
}
@@ -881,9 +844,6 @@
"cellOptions": {
"type": "auto"
},
"footer": {
"reducers": []
},
"inspect": false
},
"mappings": [],
@@ -891,8 +851,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -953,10 +912,18 @@
"id": 5,
"options": {
"cellHeight": "sm",
"footer": {
"countRows": false,
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -964,7 +931,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| stats by(tenant,query,query_hash) max(samples_fetched) samples_fetched_max\n| sort by(samples_fetched_max) desc | limit $top",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| stats by(tenant,query,query_hash) max(samples_fetched) samples_fetched_max\n| sort by(samples_fetched_max) desc | limit $top",
"queryType": "instant",
"refId": "A"
}
@@ -975,10 +942,8 @@
"id": "extractFields",
"options": {
"delimiter": ",",
"format": "json",
"keepTime": false,
"replace": true,
"source": "labels"
"source": "Line"
}
},
{
@@ -1033,7 +998,6 @@
"type": "linear"
},
"showPoints": "auto",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
@@ -1048,8 +1012,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -1082,7 +1045,7 @@
"sort": "none"
}
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -1090,7 +1053,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| stats max(samples_fetched) samples_fetched_max",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| stats max(samples_fetched) samples_fetched_max",
"queryType": "statsRange",
"refId": "A"
}
@@ -1113,9 +1076,6 @@
"cellOptions": {
"type": "auto"
},
"footer": {
"reducers": []
},
"inspect": false
},
"mappings": [],
@@ -1123,8 +1083,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -1185,10 +1144,18 @@
"id": 11,
"options": {
"cellHeight": "sm",
"footer": {
"countRows": false,
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -1196,7 +1163,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| stats by(tenant,query,query_hash) max(bytes) bytes_fetched_max \n| sort by(bytes_fetched_max) desc | limit $top",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| stats by(tenant,query,query_hash) max(bytes) bytes_fetched_max \n| sort by(bytes_fetched_max) desc | limit $top",
"queryType": "instant",
"refId": "A"
}
@@ -1208,7 +1175,7 @@
"options": {
"delimiter": ",",
"replace": true,
"source": "labels"
"source": "Line"
}
},
{
@@ -1263,7 +1230,6 @@
"type": "linear"
},
"showPoints": "auto",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
@@ -1278,8 +1244,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -1312,7 +1277,7 @@
"sort": "none"
}
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -1320,7 +1285,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| stats max(bytes) bytes_fetched",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| stats max(bytes) bytes_fetched",
"queryType": "statsRange",
"refId": "A"
}
@@ -1343,9 +1308,6 @@
"cellOptions": {
"type": "auto"
},
"footer": {
"reducers": []
},
"inspect": false
},
"mappings": [],
@@ -1353,8 +1315,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -1427,10 +1388,18 @@
"id": 13,
"options": {
"cellHeight": "sm",
"footer": {
"countRows": false,
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -1438,7 +1407,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| stats by(tenant,query,query_hash) max(memory_estimated_bytes) memory_estimated_max\n| sort by(memory_estimated_max) desc | limit $top",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| stats by(tenant,query,query_hash) max(memory_estimated_bytes) memory_estimated_max\n| sort by(memory_estimated_max) desc | limit $top",
"queryType": "instant",
"refId": "A"
}
@@ -1450,7 +1419,7 @@
"options": {
"delimiter": ",",
"replace": true,
"source": "labels"
"source": "Line"
}
},
{
@@ -1505,7 +1474,6 @@
"type": "linear"
},
"showPoints": "auto",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
@@ -1520,8 +1488,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -1554,7 +1521,7 @@
"sort": "none"
}
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -1562,7 +1529,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| stats max(memory_estimated_bytes) memory_estimated_bytes",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| stats max(memory_estimated_bytes) memory_estimated_bytes",
"queryType": "statsRange",
"refId": "A"
}
@@ -1585,9 +1552,6 @@
"cellOptions": {
"type": "auto"
},
"footer": {
"reducers": []
},
"inspect": false
},
"mappings": [],
@@ -1595,8 +1559,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -1657,10 +1620,18 @@
"id": 18,
"options": {
"cellHeight": "sm",
"footer": {
"countRows": false,
"fields": "",
"reducer": [
"sum"
],
"show": false
},
"showHeader": true,
"sortBy": []
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -1668,7 +1639,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:$query_hash\n| stats by(tenant,query,query_hash) max(range_ms) range_max \n| sort by(range_max) desc | limit $top",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| tenant:in($tenant)\n| query_hash:in($query_hash)\n| stats by(tenant,query,query_hash) max(range_ms) range_max \n| sort by(range_max) desc | limit $top",
"queryType": "instant",
"refId": "A"
}
@@ -1680,7 +1651,7 @@
"options": {
"delimiter": ",",
"replace": true,
"source": "labels"
"source": "Line"
}
},
{
@@ -1735,7 +1706,6 @@
"type": "linear"
},
"showPoints": "auto",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
@@ -1750,8 +1720,7 @@
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
"color": "green"
},
{
"color": "red",
@@ -1784,7 +1753,7 @@
"sort": "none"
}
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -1792,7 +1761,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| query_hash:$query_hash\n| stats max(range_ms) range_max",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| query_hash:in($query_hash)\n| stats max(range_ms) range_max",
"queryType": "statsRange",
"refId": "A"
}
@@ -1801,7 +1770,7 @@
"type": "timeseries"
},
{
"collapsed": true,
"collapsed": false,
"gridPos": {
"h": 1,
"w": 24,
@@ -1809,59 +1778,52 @@
"y": 56
},
"id": 12,
"panels": [
"panels": [],
"title": "Query log",
"type": "row"
},
{
"datasource": {
"type": "victoriametrics-logs-datasource",
"uid": "${ds}"
},
"fieldConfig": {
"defaults": {},
"overrides": []
},
"gridPos": {
"h": 14,
"w": 24,
"x": 0,
"y": 57
},
"id": 6,
"options": {
"dedupStrategy": "none",
"enableInfiniteScrolling": false,
"enableLogDetails": true,
"prettifyLogMessage": false,
"showCommonLabels": false,
"showLabels": false,
"showTime": false,
"sortOrder": "Descending",
"wrapLogMessage": false
},
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
"type": "victoriametrics-logs-datasource",
"uid": "${ds}"
},
"fieldConfig": {
"defaults": {},
"overrides": []
},
"gridPos": {
"h": 14,
"w": 24,
"x": 0,
"y": 57
},
"id": 6,
"options": {
"dedupStrategy": "none",
"detailsMode": "sidebar",
"enableInfiniteScrolling": false,
"enableLogDetails": true,
"fontSize": "small",
"prettifyLogMessage": false,
"showCommonLabels": false,
"showControls": true,
"showLabels": false,
"showTime": false,
"sortOrder": "Descending",
"syntaxHighlighting": false,
"unwrappedColumns": false,
"wrapLogMessage": true
},
"pluginVersion": "12.4.3",
"targets": [
{
"datasource": {
"type": "victoriametrics-logs-datasource",
"uid": "${ds}"
},
"direction": "desc",
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| query_hash:$query_hash\n| limit 200",
"queryType": "instant",
"refId": "A"
}
],
"title": "Raw logs",
"type": "logs"
"editorMode": "code",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| query_hash:in($query_hash)\n| limit 200",
"queryType": "instant",
"refId": "A"
}
],
"title": "Query log",
"type": "row"
"title": "Raw logs",
"type": "logs"
},
{
"collapsed": true,
@@ -1869,7 +1831,7 @@
"h": 1,
"w": 24,
"x": 0,
"y": 57
"y": 71
},
"id": 17,
"panels": [
@@ -1886,7 +1848,7 @@
"h": 14,
"w": 24,
"x": 0,
"y": 58
"y": 70
},
"id": 15,
"options": {
@@ -1895,14 +1857,12 @@
"enableLogDetails": true,
"prettifyLogMessage": false,
"showCommonLabels": false,
"showControls": false,
"showLabels": false,
"showTime": false,
"sortOrder": "Descending",
"unwrappedColumns": false,
"wrapLogMessage": false
},
"pluginVersion": "12.4.3",
"pluginVersion": "11.6.0",
"targets": [
{
"datasource": {
@@ -1910,7 +1870,7 @@
"uid": "${ds}"
},
"editorMode": "code",
"expr": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| series_fetched:=0\n| query_hash:$query_hash",
"expr": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats \n| series_fetched:=0\n| query_hash:in($query_hash)",
"queryType": "instant",
"refId": "A"
}
@@ -1925,7 +1885,7 @@
],
"preload": false,
"refresh": "",
"schemaVersion": 42,
"schemaVersion": 41,
"tags": [
"victoriametrics",
"victorialogs"
@@ -1934,9 +1894,8 @@
"list": [
{
"current": {
"text": "",
"value": "${ds}",
"selected": true
"text": "VictoriaLogs",
"value": "PD775F2863313E6C7"
},
"name": "ds",
"options": [],
@@ -1974,17 +1933,21 @@
}
],
"query": "5,10,15,20",
"type": "custom",
"valuesFormat": "csv"
"type": "custom"
},
{
"allValue": "*",
"current": {},
"current": {
"text": "All",
"value": [
"$__all"
]
},
"datasource": {
"type": "victoriametrics-logs-datasource",
"uid": "${ds}"
},
"definition": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats | fields tenant",
"definition": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats | fields tenant",
"includeAll": true,
"multi": true,
"name": "tenant",
@@ -1992,13 +1955,12 @@
"query": {
"field": "tenant",
"limit": 25,
"query": "\"vm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats | fields tenant",
"query": "\"\\tvm_slow_query_stats\" | extract 'vm_slow_query_stats <vm_slow_query_stats>' | unpack_logfmt from vm_slow_query_stats | fields tenant",
"refId": "VictoriaLogsVariableQueryEditor-VariableQuery",
"type": "fieldValue"
},
"refresh": 2,
"refresh": 1,
"regex": "",
"regexApplyTo": "value",
"type": "query"
},
{
@@ -2038,6 +2000,5 @@
"timezone": "browser",
"title": "Query Stats (cluster)",
"uid": "feg3od1zt1fy8e",
"version": 1,
"weekStart": ""
}
"version": 1
}

View File

@@ -5136,110 +5136,6 @@
],
"title": "Major page faults rate ($instance)",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"description": "Average duration of fsync system calls. Spikes or high latency indicates that storage I/O cannot keep up with the write rate, which may slow down data ingestion.\n\nIf this value is elevated:\n- Check disk-related metrics.\n- If using cloud storage, check IOPS and throughput limits.\n- If using NFS, check network performance, server resource usage, and any errors on the NFS server side.\n- Check for known bugs in the filesystem or kernel version being used.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"barWidthFactor": 0.6,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
}
]
},
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 305
},
"id": 230,
"options": {
"legend": {
"calcs": [
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true,
"sortBy": "Last *",
"sortDesc": true
},
"tooltip": {
"hideZeros": true,
"mode": "multi",
"sort": "desc"
}
},
"pluginVersion": "12.2.0",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"editorMode": "code",
"expr": "rate(vm_filestream_fsync_duration_seconds_total{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval]) / rate(vm_filestream_fsync_calls_total{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval])",
"format": "time_series",
"instant": false,
"legendFormat": "{{instance}}",
"refId": "A"
}
],
"title": "Fsync avg duration ($instance)",
"type": "timeseries"
}
],
"title": "Troubleshooting",

View File

@@ -896,7 +896,7 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "sum(min_over_time(up{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])) by (job)",
"expr": "sum(min_over_time(vm_app_version{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])) by (job)",
"format": "time_series",
"instant": false,
"legendFormat": "{{job}}",
@@ -5181,110 +5181,6 @@
],
"title": "Major page faults rate",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"description": "Average duration of fsync system calls. Spikes or high latency indicates that storage I/O cannot keep up with the write rate, which may slow down data ingestion.\n\nIf this value is elevated:\n- Check disk-related metrics.\n- If using cloud storage, check IOPS and throughput limits.\n- If using NFS, check network performance, server resource usage, and any errors on the NFS server side.\n- Check for known bugs in the filesystem or kernel version being used.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"barWidthFactor": 0.6,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
}
]
},
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 81
},
"id": 159,
"options": {
"legend": {
"calcs": [
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true,
"sortBy": "Last *",
"sortDesc": true
},
"tooltip": {
"hideZeros": true,
"mode": "multi",
"sort": "desc"
}
},
"pluginVersion": "12.2.0",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"editorMode": "code",
"expr": "rate(vm_filestream_fsync_duration_seconds_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval]) / rate(vm_filestream_fsync_calls_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])",
"format": "time_series",
"instant": false,
"legendFormat": "{{instance}}",
"refId": "A"
}
],
"title": "Fsync avg duration ($instance)",
"type": "timeseries"
}
],
"title": "Troubleshooting",
@@ -8846,4 +8742,4 @@
"uid": "wNf0q_kZk",
"version": 1,
"weekStart": ""
}
}

View File

@@ -5137,110 +5137,6 @@
],
"title": "Major page faults rate ($instance)",
"type": "timeseries"
},
{
"datasource": {
"type": "victoriametrics-metrics-datasource",
"uid": "$ds"
},
"description": "Average duration of fsync system calls. Spikes or high latency indicates that storage I/O cannot keep up with the write rate, which may slow down data ingestion.\n\nIf this value is elevated:\n- Check disk-related metrics.\n- If using cloud storage, check IOPS and throughput limits.\n- If using NFS, check network performance, server resource usage, and any errors on the NFS server side.\n- Check for known bugs in the filesystem or kernel version being used.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"barWidthFactor": 0.6,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
}
]
},
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 305
},
"id": 230,
"options": {
"legend": {
"calcs": [
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true,
"sortBy": "Last *",
"sortDesc": true
},
"tooltip": {
"hideZeros": true,
"mode": "multi",
"sort": "desc"
}
},
"pluginVersion": "12.2.0",
"targets": [
{
"datasource": {
"type": "victoriametrics-metrics-datasource",
"uid": "$ds"
},
"editorMode": "code",
"expr": "rate(vm_filestream_fsync_duration_seconds_total{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval]) / rate(vm_filestream_fsync_calls_total{job=~\"$job_storage\", instance=~\"$instance\"}[$__rate_interval])",
"format": "time_series",
"instant": false,
"legendFormat": "{{instance}}",
"refId": "A"
}
],
"title": "Fsync avg duration ($instance)",
"type": "timeseries"
}
],
"title": "Troubleshooting",

View File

@@ -897,7 +897,7 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "sum(min_over_time(up{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])) by (job)",
"expr": "sum(min_over_time(vm_app_version{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])) by (job)",
"format": "time_series",
"instant": false,
"legendFormat": "{{job}}",
@@ -5182,110 +5182,6 @@
],
"title": "Major page faults rate",
"type": "timeseries"
},
{
"datasource": {
"type": "victoriametrics-metrics-datasource",
"uid": "$ds"
},
"description": "Average duration of fsync system calls. Spikes or high latency indicates that storage I/O cannot keep up with the write rate, which may slow down data ingestion.\n\nIf this value is elevated:\n- Check disk-related metrics.\n- If using cloud storage, check IOPS and throughput limits.\n- If using NFS, check network performance, server resource usage, and any errors on the NFS server side.\n- Check for known bugs in the filesystem or kernel version being used.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"barWidthFactor": 0.6,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
}
]
},
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 81
},
"id": 159,
"options": {
"legend": {
"calcs": [
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true,
"sortBy": "Last *",
"sortDesc": true
},
"tooltip": {
"hideZeros": true,
"mode": "multi",
"sort": "desc"
}
},
"pluginVersion": "12.2.0",
"targets": [
{
"datasource": {
"type": "victoriametrics-metrics-datasource",
"uid": "$ds"
},
"editorMode": "code",
"expr": "rate(vm_filestream_fsync_duration_seconds_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval]) / rate(vm_filestream_fsync_calls_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])",
"format": "time_series",
"instant": false,
"legendFormat": "{{instance}}",
"refId": "A"
}
],
"title": "Fsync avg duration ($instance)",
"type": "timeseries"
}
],
"title": "Troubleshooting",
@@ -8847,4 +8743,4 @@
"uid": "wNf0q_kZk_vm",
"version": 1,
"weekStart": ""
}
}

View File

@@ -892,7 +892,7 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "sum(min_over_time(up{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])) by (job)",
"expr": "sum(up{job=~\"$job\", instance=~\"$instance\"}) by (job)",
"format": "time_series",
"instant": false,
"interval": "",
@@ -4581,110 +4581,6 @@
],
"title": "Rows ignored for last 1h ($instance)",
"type": "timeseries"
},
{
"datasource": {
"type": "victoriametrics-metrics-datasource",
"uid": "$ds"
},
"description": "Average duration of fsync system calls. Spikes or high latency indicates that storage I/O cannot keep up with the write rate, which may slow down data ingestion.\n\nIf this value is elevated:\n- Check disk-related metrics.\n- If using cloud storage, check IOPS and throughput limits.\n- If using NFS, check network performance, server resource usage, and any errors on the NFS server side.\n- Check for known bugs in the filesystem or kernel version being used.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"barWidthFactor": 0.6,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
}
]
},
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 189
},
"id": 171,
"options": {
"legend": {
"calcs": [
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true,
"sortBy": "Last *",
"sortDesc": true
},
"tooltip": {
"hideZeros": true,
"mode": "multi",
"sort": "desc"
}
},
"pluginVersion": "12.2.0",
"targets": [
{
"datasource": {
"type": "victoriametrics-metrics-datasource",
"uid": "$ds"
},
"editorMode": "code",
"expr": "rate(vm_filestream_fsync_duration_seconds_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval]) / rate(vm_filestream_fsync_calls_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])",
"format": "time_series",
"instant": false,
"legendFormat": "{{instance}}",
"refId": "A"
}
],
"title": "Fsync avg duration ($instance)",
"type": "timeseries"
}
],
"title": "Troubleshooting",

View File

@@ -891,7 +891,7 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "sum(min_over_time(up{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])) by (job)",
"expr": "sum(up{job=~\"$job\", instance=~\"$instance\"}) by (job)",
"format": "time_series",
"instant": false,
"interval": "",
@@ -4580,110 +4580,6 @@
],
"title": "Rows ignored for last 1h ($instance)",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"description": "Average duration of fsync system calls. Spikes or high latency indicates that storage I/O cannot keep up with the write rate, which may slow down data ingestion.\n\nIf this value is elevated:\n- Check disk-related metrics.\n- If using cloud storage, check IOPS and throughput limits.\n- If using NFS, check network performance, server resource usage, and any errors on the NFS server side.\n- Check for known bugs in the filesystem or kernel version being used.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"barWidthFactor": 0.6,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "never",
"showValues": false,
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"links": [],
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": 0
}
]
},
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 189
},
"id": 171,
"options": {
"legend": {
"calcs": [
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true,
"sortBy": "Last *",
"sortDesc": true
},
"tooltip": {
"hideZeros": true,
"mode": "multi",
"sort": "desc"
}
},
"pluginVersion": "12.2.0",
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"editorMode": "code",
"expr": "rate(vm_filestream_fsync_duration_seconds_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval]) / rate(vm_filestream_fsync_calls_total{job=~\"$job\", instance=~\"$instance\"}[$__rate_interval])",
"format": "time_series",
"instant": false,
"legendFormat": "{{instance}}",
"refId": "A"
}
],
"title": "Fsync avg duration ($instance)",
"type": "timeseries"
}
],
"title": "Troubleshooting",

View File

@@ -3,11 +3,11 @@
DOCKER_REGISTRIES ?= docker.io quay.io
DOCKER_NAMESPACE ?= victoriametrics
ROOT_IMAGE ?= alpine:3.24.1
ROOT_IMAGE ?= alpine:3.23.4
ROOT_IMAGE_SCRATCH ?= scratch
CERTS_IMAGE := alpine:3.24.1
CERTS_IMAGE := alpine:3.23.4
GO_BUILDER_IMAGE := golang:1.26.5
GO_BUILDER_IMAGE := golang:1.26.4
BUILDER_IMAGE := local/builder:2.0.0-$(shell echo $(GO_BUILDER_IMAGE) | tr :/ __)-1
BASE_IMAGE := local/base:1.1.4-$(shell echo $(ROOT_IMAGE) | tr :/ __)-$(shell echo $(CERTS_IMAGE) | tr :/ __)

View File

@@ -163,8 +163,6 @@ The list of alerting rules is the following:
alerting rules related to [vmauth](https://docs.victoriametrics.com/victoriametrics/vmauth/) component;
* [alerts-vmanomaly.yml](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/rules/alerts-vmanomaly.yml):
alerting rules related to [VictoriaMetrics Anomaly Detection](https://docs.victoriametrics.com/anomaly-detection/);
* [alerts-vmbackupmanager.yml](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/rules/alerts-vmbackupmanager.yml):
alerting rules related to [vmbackupmanager](https://docs.victoriametrics.com/victoriametrics/vmbackupmanager/) component;
Please, also see [how to monitor VictoriaMetrics installations](https://docs.victoriametrics.com/victoriametrics/single-server-victoriametrics/#monitoring).
## Troubleshooting

View File

@@ -3,7 +3,7 @@ services:
# It scrapes targets defined in --promscrape.config
# And forward them to --remoteWrite.url
vmagent:
image: victoriametrics/vmagent:v1.148.0
image: victoriametrics/vmagent:v1.146.0
depends_on:
- "vmauth"
ports:
@@ -42,14 +42,14 @@ services:
# vmstorage shards. Each shard receives 1/N of all metrics sent to vminserts,
# where N is number of vmstorages (2 in this case).
vmstorage-1:
image: victoriametrics/vmstorage:v1.148.0-cluster
image: victoriametrics/vmstorage:v1.146.0-cluster
volumes:
- strgdata-1:/storage
command:
- "--storageDataPath=/storage"
restart: always
vmstorage-2:
image: victoriametrics/vmstorage:v1.148.0-cluster
image: victoriametrics/vmstorage:v1.146.0-cluster
volumes:
- strgdata-2:/storage
command:
@@ -59,7 +59,7 @@ services:
# vminsert is ingestion frontend. It receives metrics pushed by vmagent,
# pre-process them and distributes across configured vmstorage shards.
vminsert-1:
image: victoriametrics/vminsert:v1.148.0-cluster
image: victoriametrics/vminsert:v1.146.0-cluster
depends_on:
- "vmstorage-1"
- "vmstorage-2"
@@ -68,7 +68,7 @@ services:
- "--storageNode=vmstorage-2:8400"
restart: always
vminsert-2:
image: victoriametrics/vminsert:v1.148.0-cluster
image: victoriametrics/vminsert:v1.146.0-cluster
depends_on:
- "vmstorage-1"
- "vmstorage-2"
@@ -80,7 +80,7 @@ services:
# vmselect is a query fronted. It serves read queries in MetricsQL or PromQL.
# vmselect collects results from configured `--storageNode` shards.
vmselect-1:
image: victoriametrics/vmselect:v1.148.0-cluster
image: victoriametrics/vmselect:v1.146.0-cluster
depends_on:
- "vmstorage-1"
- "vmstorage-2"
@@ -90,7 +90,7 @@ services:
- "--vmalert.proxyURL=http://vmalert:8880"
restart: always
vmselect-2:
image: victoriametrics/vmselect:v1.148.0-cluster
image: victoriametrics/vmselect:v1.146.0-cluster
depends_on:
- "vmstorage-1"
- "vmstorage-2"
@@ -105,7 +105,7 @@ services:
# read requests from Grafana, vmui, vmalert among vmselects.
# It can be used as an authentication proxy.
vmauth:
image: victoriametrics/vmauth:v1.148.0
image: victoriametrics/vmauth:v1.146.0
depends_on:
- "vmselect-1"
- "vmselect-2"
@@ -119,7 +119,7 @@ services:
# vmalert executes alerting and recording rules
vmalert:
image: victoriametrics/vmalert:v1.148.0
image: victoriametrics/vmalert:v1.146.0
depends_on:
- "vmauth"
ports:
@@ -129,7 +129,6 @@ services:
- ./rules/alerts-health.yml:/etc/alerts/alerts-health.yml
- ./rules/alerts-vmagent.yml:/etc/alerts/alerts-vmagent.yml
- ./rules/alerts-vmalert.yml:/etc/alerts/alerts-vmalert.yml
- ./rules/alerts-vmbackupmanager.yml:/etc/alerts/alerts-vmbackupmanager.yml
command:
- "--datasource.url=http://vmauth:8427/select/0/prometheus"
- "--datasource.basicAuth.username=foo"

View File

@@ -3,7 +3,7 @@ services:
# It scrapes targets defined in --promscrape.config
# And forward them to --remoteWrite.url
vmagent:
image: victoriametrics/vmagent:v1.148.0
image: victoriametrics/vmagent:v1.146.0
depends_on:
- "victoriametrics"
ports:
@@ -18,7 +18,7 @@ services:
# VictoriaMetrics instance, a single process responsible for
# storing metrics and serve read requests.
victoriametrics:
image: victoriametrics/victoria-metrics:v1.148.0
image: victoriametrics/victoria-metrics:v1.146.0
ports:
- 8428:8428
- 8089:8089
@@ -59,7 +59,7 @@ services:
# vmalert executes alerting and recording rules
vmalert:
image: victoriametrics/vmalert:v1.148.0
image: victoriametrics/vmalert:v1.146.0
depends_on:
- "victoriametrics"
- "alertmanager"
@@ -70,7 +70,6 @@ services:
- ./rules/alerts-health.yml:/etc/alerts/alerts-health.yml
- ./rules/alerts-vmagent.yml:/etc/alerts/alerts-vmagent.yml
- ./rules/alerts-vmalert.yml:/etc/alerts/alerts-vmalert.yml
- ./rules/alerts-vmbackupmanager.yml:/etc/alerts/alerts-vmbackupmanager.yml
command:
- "--datasource.url=http://victoriametrics:8428/"
- "--remoteRead.url=http://victoriametrics:8428/"

View File

@@ -10,7 +10,7 @@ groups:
concurrency: 2
rules:
- alert: PersistentQueueIsDroppingData
expr: sum(increase(vm_persistentqueue_bytes_dropped_total[5m])) without (path,name) > 0
expr: sum(increase(vm_persistentqueue_bytes_dropped_total[5m])) without (path) > 0
for: 10m
labels:
severity: critical
@@ -201,4 +201,4 @@ groups:
annotations:
summary: "Persistent Queue (url {{ $labels.url }}) of {{ $labels.instance }} (job:{{ $labels.job }}) will run out of space in 4 hours."
description: "RemoteWrite destination ({{ $labels.url }}) is unavailable or unable to receive data in a timely manner, so the persistent queue size is growing.
Once the available space is exhausted, some samples will be discarded and cause incident. Please check the health of remoteWrite destination ({{ $labels.url }})."
Once the available space is exhausted, some samples will be discarded and cause incident. Please check the health of remoteWrite destination ({{ $labels.url }})."

View File

@@ -120,39 +120,3 @@ groups:
summary: "vmalert instance {{ $labels.instance }} is failing to send notifications to Alertmanager"
description: "vmalert instance {{ $labels.instance }} is failing to send alert notifications to \"{{ $labels.addr }}\".
Check vmalert's logs for detailed error message."
- alert: AlertingRuleResultsApproachingLimit
expr: |
(
vmalert_alerting_rules_last_evaluation_samples
> on(group,file) group_left()
(vmalert_group_rule_results_limit * 0.9)
)
and on(group,file)
(vmalert_group_rule_results_limit > 0)
for: 5m
labels:
severity: warning
annotations:
summary: "Alerting rule {{ $labels.alertname }} in group {{ $labels.group }} is approaching the configured results limit"
description: "Alerting rule \"{{ $labels.alertname }}\" from group \"{{ $labels.group }}\" in file \"{{ $labels.file }}\" produced {{ $value }} samples in last evaluation, which approaches the configured results limit.
If the produced results exceed the limit, the rule will be marked with an error and all its results will be discarded.
Try increasing the results limit for the group or reducing the number of series produced by the rule. See https://docs.victoriametrics.com/victoriametrics/vmalert/#groups."
- alert: RecordingRuleResultsApproachingLimit
expr: |
(
vmalert_recording_rules_last_evaluation_samples
> on(group,file) group_left()
(vmalert_group_rule_results_limit * 0.9)
)
and on(group,file)
(vmalert_group_rule_results_limit > 0)
for: 5m
labels:
severity: warning
annotations:
summary: "Recording rule {{ $labels.recording }} in group {{ $labels.group }} is approaching the configured results limit"
description: "Recording rule \"{{ $labels.recording }}\" from group \"{{ $labels.group }}\" in file \"{{ $labels.file }}\" produced {{ $value }} samples in last evaluation, which approaches the configured results limit.
If the produced results exceed the limit, the rule will be marked with an error and all its results will be discarded.
Try increasing the results limit for the group or reducing the number of series produced by the rule. See https://docs.victoriametrics.com/victoriametrics/vmalert/#groups."

View File

@@ -30,35 +30,6 @@ groups:
summary: "Service {{ $labels.job }} is down on {{ $labels.instance }}"
description: "{{ $labels.instance }} of job {{ $labels.job }} has been down for more than 5m"
- alert: SchedulerWorkerDown
expr: >
(vmanomaly_scheduler_alive{job=~".*vmanomaly.*"} == 0)
and on (job, instance, scheduler_alias, preset)
(sum(vmanomaly_scheduler_restarts_total{job=~".*vmanomaly.*"})
by (job, instance, scheduler_alias, preset) > 0)
for: 2m
labels:
severity: critical
annotations:
summary: "Scheduler {{ $labels.scheduler_alias }} is down in {{ $labels.job }} ({{ $labels.instance }})"
description: |
Periodic scheduler {{ $labels.scheduler_alias }} from preset {{ $labels.preset }} has remained down for more than 2 minutes
after entering automatic recovery. The restart policy may be exhausted.
Check vmanomaly logs and the vmanomaly_scheduler_restarts_total metric for restart failures.
- alert: FrequentSchedulerRestarts
expr: >
sum(increase(vmanomaly_scheduler_restarts_total{job=~".*vmanomaly.*"}[15m]))
by (job, instance, scheduler_alias, preset) > 2
labels:
severity: warning
annotations:
summary: "Scheduler {{ $labels.scheduler_alias }} is restarting frequently in {{ $labels.job }} ({{ $labels.instance }})"
description: |
Scheduler {{ $labels.scheduler_alias }} from preset {{ $labels.preset }} had more than two restart attempts
during the last 15 minutes. The service may be self-healing, but repeated restarts indicate an unstable
scheduler, configuration, datasource, or runtime dependency. Check vmanomaly logs for the original failure.
# default value of 900 Should be changed to the scrape_interval for pull metrics. For push metrics this should be the lowest fit_every or infer_every in your vmanomaly config.
- alert: NoSelfMonitoringMetrics
expr: >

View File

@@ -56,20 +56,3 @@ groups:
summary: "Too many errors served for user {{ $labels.username }} (instance {{ $labels.instance }})"
description: "Requests from user {{ $labels.username }} are receiving errors.
Please check the vmauth logs to verify that the configuration is correct and clients are sending valid requests."
- alert: InvalidAuthTokenRequestErrors
expr: sum(increase(vmauth_http_request_errors_total{reason="invalid_auth_token"}[5m])) without (instance, reason) > 0
for: 15m
labels:
severity: warning
annotations:
dashboard: "{{ $externalURL }}/d/nbuo5Mr4k?viewPanel=16&var-job={{ $labels.job }}"
summary: "vmauth {{ $labels.job }} is receiving many requests with invalid auth tokens"
description: |
vmauth {{ $labels.job }} received {{ $value }} requests with invalid auth tokens in the last 5 minutes.
This may indicate:
- credentials have been updated on vmauth but not on clients
- client misconfiguration or use of an expired token
- a brute-force attack.
Check vmauth metrics for longevity and scale of the issue.
Check access log for detailed information: https://docs.victoriametrics.com/victoriametrics/vmauth/#access-log

View File

@@ -1,110 +0,0 @@
# File contains default list of alerts for vmbackupmanager.
# The alerts below are just recommendations and may require some updates
# and threshold calibration according to every specific setup.
groups:
- name: vmbackupmanager
rules:
- alert: NoLatestBackupWithinLastDay
expr: |
(
vm_backup_last_success_at{type="latest"} == 0
and on(job, instance)
vm_app_uptime_seconds > 24 * 3600
)
or
(
vm_backup_last_success_at{type="latest"} > 0
and time() - vm_backup_last_success_at{type="latest"} > 24 * 3600
)
for: 1m
labels:
severity: critical
annotations:
summary: "latest backup hasn't completed successfully for more than 1 day on \"{{ $labels.job }}\"(\"{{ $labels.instance }}\")"
description: >
vmbackupmanager on "{{ $labels.job }}"("{{ $labels.instance }}") hasn't completed the latest backup for more than 1 day.
Check error logs on vmbackupmanager for root cause.
- alert: NoHourlyBackupWithinLastDay
expr: |
(
vm_backup_last_success_at{type="hourly"} == 0
and on(job, instance)
vm_app_uptime_seconds > 24 * 3600
)
or
(
vm_backup_last_success_at{type="hourly"} > 0
and time() - vm_backup_last_success_at{type="hourly"} > 24 * 3600
)
for: 1m
labels:
severity: critical
annotations:
summary: "hourly backup hasn't completed successfully for more than 1 day on \"{{ $labels.job }}\"(\"{{ $labels.instance }}\")"
description: >
vmbackupmanager on "{{ $labels.job }}"("{{ $labels.instance }}") hasn't completed an hourly backup for more than 1 day.
Check error logs on vmbackupmanager for root cause.
- alert: NoDailyBackupWithinLast3Days
expr: |
(
vm_backup_last_success_at{type="daily"} == 0
and on(job, instance)
vm_app_uptime_seconds > 3 * 24 * 3600
)
or
(
vm_backup_last_success_at{type="daily"} > 0
and time() - vm_backup_last_success_at{type="daily"} > 3 * 24 * 3600
)
for: 1m
labels:
severity: critical
annotations:
summary: "daily backup hasn't completed successfully for more than 3 days on \"{{ $labels.job }}\"(\"{{ $labels.instance }}\")"
description: >
vmbackupmanager on "{{ $labels.job }}"("{{ $labels.instance }}") hasn't completed a daily backup for more than 3 days.
Check error logs on vmbackupmanager for root cause.
- alert: NoWeeklyBackupWithinLast14Days
expr: |
(
vm_backup_last_success_at{type="weekly"} == 0
and on(job, instance)
vm_app_uptime_seconds > 14 * 24 * 3600
)
or
(
vm_backup_last_success_at{type="weekly"} > 0
and time() - vm_backup_last_success_at{type="weekly"} > 14 * 24 * 3600
)
for: 1m
labels:
severity: critical
annotations:
summary: "weekly backup hasn't completed successfully for more than 14 days on \"{{ $labels.job }}\"(\"{{ $labels.instance }}\")"
description: >
vmbackupmanager on "{{ $labels.job }}"("{{ $labels.instance }}") hasn't completed a weekly backup for more than 14 days.
Check error logs on vmbackupmanager for root cause.
- alert: NoMonthlyBackupWithinLast62Days
expr: |
(
vm_backup_last_success_at{type="monthly"} == 0
and on(job, instance)
vm_app_uptime_seconds > 62 * 24 * 3600
)
or
(
vm_backup_last_success_at{type="monthly"} > 0
and time() - vm_backup_last_success_at{type="monthly"} > 62 * 24 * 3600
)
for: 1m
labels:
severity: critical
annotations:
summary: "monthly backup hasn't completed successfully for more than 62 days on \"{{ $labels.job }}\"(\"{{ $labels.instance }}\")"
description: >
vmbackupmanager on "{{ $labels.job }}"("{{ $labels.instance }}") hasn't completed a monthly backup for more than 62 days.
Check error logs on vmbackupmanager for root cause.

View File

@@ -1,6 +1,6 @@
services:
vmagent:
image: victoriametrics/vmagent:v1.148.0
image: victoriametrics/vmagent:v1.146.0
depends_on:
- "victoriametrics"
ports:
@@ -14,7 +14,7 @@ services:
restart: always
victoriametrics:
image: victoriametrics/victoria-metrics:v1.148.0
image: victoriametrics/victoria-metrics:v1.146.0
ports:
- 8428:8428
volumes:
@@ -40,7 +40,7 @@ services:
restart: always
vmalert:
image: victoriametrics/vmalert:v1.148.0
image: victoriametrics/vmalert:v1.146.0
depends_on:
- "victoriametrics"
ports:
@@ -59,7 +59,7 @@ services:
- '--external.alert.source=explore?orgId=1&left=["now-1h","now","VictoriaMetrics",{"expr": },{"mode":"Metrics"},{"ui":[true,true,true,"none"]}]'
restart: always
vmanomaly:
image: victoriametrics/vmanomaly:v1.30.0
image: victoriametrics/vmanomaly:v1.29.7
depends_on:
- "victoriametrics"
ports:

View File

@@ -1,18 +1,16 @@
schedulers:
periodic:
infer_every: "1m"
fit_every: "100w" # the online model keeps learning during inference
fit_window: "2w"
fit_every: "1h"
fit_window: "2d" # 2d-14d based on the presence of weekly seasonality in your data
models:
temporal_envelope:
class: "temporal_envelope"
queries: "all"
schedulers: "all"
seasonalities: ["hod_smooth", "dow_smooth"]
alpha: 0.005
loss_reactivity: 5
iqr_threshold: 2
prophet:
class: "prophet"
args:
interval_width: 0.98
weekly_seasonality: False # comment it if your data has weekly seasonality
yearly_seasonality: False
reader:
datasource_url: "http://victoriametrics:8428/"
@@ -28,4 +26,4 @@ writer:
monitoring:
pull: # Enable /metrics endpoint.
addr: "0.0.0.0"
port: 8490
port: 8490

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