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lib/streamaggr: added stale samples metric, added metrics labels (#6462)

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### Describe Your Changes

- added stale metrics counters for input and output samples
- added labels for aggregator metrics =>
`name="{rwctx}:{aggrId}:{aggrSuffix}"`
   - rwctx - global or number starting from 1
   - aggrid - aggregator id starting from 1
   - aggrSuffix - <interval>_(by|without)_label1_label2_labeln
   e.g: `name="global:1:1m_without_instance_pod"`

### Checklist

The following checks are **mandatory**:

- [ ] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).

---------

Signed-off-by: hagen1778 <roman@victoriametrics.com>
Co-authored-by: hagen1778 <roman@victoriametrics.com>
This commit is contained in:
Andrii Chubatiuk 2024-07-01 15:56:17 +03:00 committed by GitHub
parent f8eea0f2c9
commit 861852f262
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
17 changed files with 750 additions and 171 deletions
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4
app/vmagent/remotewrite/remotewrite.go
View file

@ -211,7 +211,7 @@ func Init() {
}
sasGlobal.Store(sas)
} else if sasOpts.DedupInterval > 0 {
deduplicatorGlobal = streamaggr.NewDeduplicator(pushToRemoteStoragesDropFailed, sasOpts.DedupInterval, sasOpts.DropInputLabels)
deduplicatorGlobal = streamaggr.NewDeduplicator(pushToRemoteStoragesDropFailed, sasOpts.DedupInterval, sasOpts.DropInputLabels, sasOpts.Alias)
}
if len(*remoteWriteURLs) > 0 {
@ -840,7 +840,7 @@ func newRemoteWriteCtx(argIdx int, remoteWriteURL *url.URL, maxInmemoryBlocks in
metrics.GetOrCreateCounter(fmt.Sprintf(`vmagent_streamaggr_config_reload_successful{path=%q}`, sasFile)).Set(1)
metrics.GetOrCreateCounter(fmt.Sprintf(`vmagent_streamaggr_config_reload_success_timestamp_seconds{path=%q}`, sasFile)).Set(fasttime.UnixTimestamp())
} else if sasOpts.DedupInterval > 0 {
rwctx.deduplicator = streamaggr.NewDeduplicator(rwctx.pushInternalTrackDropped, sasOpts.DedupInterval, sasOpts.DropInputLabels)
rwctx.deduplicator = streamaggr.NewDeduplicator(rwctx.pushInternalTrackDropped, sasOpts.DedupInterval, sasOpts.DropInputLabels, sasOpts.Alias)
}
return rwctx

4
app/vmagent/remotewrite/remotewrite_test.go
View file

@ -79,12 +79,12 @@ func TestRemoteWriteContext_TryPush_ImmutableTimeseries(t *testing.T) {
rowsDroppedByRelabel: metrics.GetOrCreateCounter(`bar`),
}
if dedupInterval > 0 {
rwctx.deduplicator = streamaggr.NewDeduplicator(nil, dedupInterval, nil)
rwctx.deduplicator = streamaggr.NewDeduplicator(nil, dedupInterval, nil, "global")
}
if len(streamAggrConfig) > 0 {
f := createFile(t, []byte(streamAggrConfig))
sas, err := streamaggr.LoadFromFile(f.Name(), nil, nil)
sas, err := streamaggr.LoadFromFile(f.Name(), nil, streamaggr.Options{})
if err != nil {
t.Fatalf("cannot load streamaggr configs: %s", err)
}

17
app/vmagent/remotewrite/streamaggr.go
View file

@ -125,28 +125,35 @@ func reloadStreamAggrConfig(idx int, pushFunc streamaggr.PushFunc) {
metrics.GetOrCreateCounter(fmt.Sprintf(`vmagent_streamaggr_config_reload_success_timestamp_seconds{path=%q}`, path)).Set(fasttime.UnixTimestamp())
}
func getStreamAggrOpts(idx int) (string, *streamaggr.Options) {
func getStreamAggrOpts(idx int) (string, streamaggr.Options) {
if idx < 0 {
return *streamAggrGlobalConfig, &streamaggr.Options{
return *streamAggrGlobalConfig, streamaggr.Options{
DedupInterval: streamAggrGlobalDedupInterval.Duration(),
DropInputLabels: *streamAggrGlobalDropInputLabels,
IgnoreOldSamples: *streamAggrGlobalIgnoreOldSamples,
IgnoreFirstIntervals: *streamAggrGlobalIgnoreFirstIntervals,
Alias: "global",
}
}
url := fmt.Sprintf("%d:secret-url", idx+1)
if *showRemoteWriteURL {
url = fmt.Sprintf("%d:%s", idx+1, remoteWriteURLs.GetOptionalArg(idx))
}
opts := streamaggr.Options{
DedupInterval: streamAggrDedupInterval.GetOptionalArg(idx),
DropInputLabels: *streamAggrDropInputLabels,
IgnoreOldSamples: streamAggrIgnoreOldSamples.GetOptionalArg(idx),
IgnoreFirstIntervals: *streamAggrIgnoreFirstIntervals,
Alias: url,
}
if len(*streamAggrConfig) == 0 {
return "", &opts
return "", opts
}
return streamAggrConfig.GetOptionalArg(idx), &opts
return streamAggrConfig.GetOptionalArg(idx), opts
}
func newStreamAggrConfigWithOpts(pushFunc streamaggr.PushFunc, path string, opts *streamaggr.Options) (*streamaggr.Aggregators, error) {
func newStreamAggrConfigWithOpts(pushFunc streamaggr.PushFunc, path string, opts streamaggr.Options) (*streamaggr.Aggregators, error) {
if len(path) == 0 {
// Skip empty stream aggregation config.
return nil, nil

12
app/vminsert/common/streamaggr.go
View file

@ -57,11 +57,12 @@ func CheckStreamAggrConfig() error {
return nil
}
pushNoop := func(_ []prompbmarshal.TimeSeries) {}
opts := &streamaggr.Options{
opts := streamaggr.Options{
DedupInterval: *streamAggrDedupInterval,
DropInputLabels: *streamAggrDropInputLabels,
IgnoreOldSamples: *streamAggrIgnoreOldSamples,
IgnoreFirstIntervals: *streamAggrIgnoreFirstIntervals,
Alias: "global",
}
sas, err := streamaggr.LoadFromFile(*streamAggrConfig, pushNoop, opts)
if err != nil {
@ -81,21 +82,23 @@ func HasStreamAggrConfigured() bool {
// MustStopStreamAggr must be called when stream aggr is no longer needed.
func InitStreamAggr() {
saCfgReloaderStopCh = make(chan struct{})
rwctx := "global"
if *streamAggrConfig == "" {
if *streamAggrDedupInterval > 0 {
deduplicator = streamaggr.NewDeduplicator(pushAggregateSeries, *streamAggrDedupInterval, *streamAggrDropInputLabels)
deduplicator = streamaggr.NewDeduplicator(pushAggregateSeries, *streamAggrDedupInterval, *streamAggrDropInputLabels, rwctx)
}
return
}
sighupCh := procutil.NewSighupChan()
opts := &streamaggr.Options{
opts := streamaggr.Options{
DedupInterval: *streamAggrDedupInterval,
DropInputLabels: *streamAggrDropInputLabels,
IgnoreOldSamples: *streamAggrIgnoreOldSamples,
IgnoreFirstIntervals: *streamAggrIgnoreFirstIntervals,
Alias: rwctx,
}
sas, err := streamaggr.LoadFromFile(*streamAggrConfig, pushAggregateSeries, opts)
if err != nil {
@ -125,11 +128,12 @@ func reloadStreamAggrConfig() {
logger.Infof("reloading -streamAggr.config=%q", *streamAggrConfig)
saCfgReloads.Inc()
opts := &streamaggr.Options{
opts := streamaggr.Options{
DedupInterval: *streamAggrDedupInterval,
DropInputLabels: *streamAggrDropInputLabels,
IgnoreOldSamples: *streamAggrIgnoreOldSamples,
IgnoreFirstIntervals: *streamAggrIgnoreFirstIntervals,
Alias: "global",
}
sasNew, err := streamaggr.LoadFromFile(*streamAggrConfig, pushAggregateSeries, opts)
if err != nil {

366
dashboards/vm/vmagent.json
View file

@ -4575,7 +4575,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -4591,7 +4592,7 @@
"h": 8,
"w": 12,
"x": 12,
"y": 14
"y": 6
},
"id": 131,
"options": {
@ -4679,7 +4680,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -4695,7 +4697,7 @@
"h": 8,
"w": 12,
"x": 0,
"y": 22
"y": 14
},
"id": 130,
"options": {
@ -4796,7 +4798,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -4812,7 +4815,7 @@
"h": 8,
"w": 12,
"x": 12,
"y": 22
"y": 14
},
"id": 77,
"options": {
@ -4887,7 +4890,7 @@
"type": "victoriametrics-datasource",
"uid": "$ds"
},
"description": "The 99th percentile of avg flush duration for the aggregated data. \n\nSmaller is better.\n\nAggregation can produce incorrect results ff flush duration exceeds configured deduplication interval. See \"Flush Timeouts\" panel.",
"description": "Shows the number of matched samples by the aggregation rule. \n\nThe more samples is matched, the more work this aggregation rule does. The matching rule is specified via `match` param.\n\nSee more details in [stream aggregation config](https://docs.victoriametrics.com/stream-aggregation/#stream-aggregation-config). ",
"fieldConfig": {
"defaults": {
"color": {
@ -4939,8 +4942,7 @@
"value": 80
}
]
},
"unit": "s"
}
},
"overrides": []
},
@ -4950,13 +4952,19 @@
"x": 0,
"y": 7
},
"id": 137,
"id": 146,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"calcs": [
"min",
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
"showLegend": true,
"sortBy": "Last *",
"sortDesc": true
},
"tooltip": {
"mode": "single",
@ -4970,14 +4978,14 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "histogram_quantile(0.99, vm_streamaggr_dedup_flush_duration_seconds_bucket{job=~\"$job\",instance=~\"$instance\"}[$__rate_interval])",
"expr": "rate(vm_streamaggr_matched_samples_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]) > 0",
"instant": false,
"legendFormat": "{{instance}} ({{job}})",
"legendFormat": "{{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "A"
}
],
"title": "Dedup flush duration (0.99)",
"title": "Matched samples ($instance)",
"type": "timeseries"
},
{
@ -4985,7 +4993,7 @@
"type": "victoriametrics-datasource",
"uid": "$ds"
},
"description": "Amount of ignored samples during aggregation. \nStream aggregation will drop samples with NaN values, or samples with too old timestamps. See https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples ",
"description": "The rate of ignored samples during aggregation. \nStream aggregation will drop samples with NaN values, or samples with too old timestamps. See https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples ",
"fieldConfig": {
"defaults": {
"color": {
@ -5067,14 +5075,117 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "increase(vm_streamaggr_ignored_samples_total[5m]) > 0",
"expr": "rate(vm_streamaggr_ignored_samples_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]) > 0",
"instant": false,
"legendFormat": "{{reason}}: {{instance}} ({{job}})",
"legendFormat": "{{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "A"
}
],
"title": "Ignored samples",
"title": "Ignored samples ($instance)",
"type": "timeseries"
},
{
"datasource": {
"type": "victoriametrics-datasource",
"uid": "$ds"
},
"description": "Shows the number of produced samples by the aggregation rule. \n\nNumber of produced samples depend on params like `by`, `without`, `interval`, etc.\n\nSee more details in [stream aggregation config](https://docs.victoriametrics.com/stream-aggregation/#stream-aggregation-config). ",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"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": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 15
},
"id": 147,
"options": {
"legend": {
"calcs": [
"min",
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true,
"sortBy": "Last *",
"sortDesc": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "victoriametrics-datasource",
"uid": "$ds"
},
"editorMode": "code",
"expr": "rate(vm_streamaggr_flushed_samples_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]) > 0",
"instant": false,
"legendFormat": "{{url}} ({{job}}): match={{match}}; output={{output}}",
"range": true,
"refId": "A"
}
],
"title": "Produced samples ($instance)",
"type": "timeseries"
},
{
@ -5142,7 +5253,7 @@
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"x": 12,
"y": 15
},
"id": 139,
@ -5165,9 +5276,9 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "increase(vm_streamaggr_flush_timeouts_total{job=~\"$job\",instance=~\"$instance\"}[$__rate_interval]) > 0",
"expr": "increase(vm_streamaggr_flush_timeouts_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval])",
"instant": false,
"legendFormat": "aggregate: {{instance}} ({{job}})",
"legendFormat": "aggregation: {{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "A"
},
@ -5177,15 +5288,15 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "increase(vm_streamaggr_dedup_flush_timeouts_total{job=~\"$job\",instance=~\"$instance\"}[$__rate_interval]) > 0",
"expr": "increase(vm_streamaggr_dedup_flush_timeouts_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval])",
"hide": false,
"instant": false,
"legendFormat": "dedup: {{instance}} ({{job}})",
"legendFormat": "deduplication: {{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "B"
}
],
"title": "Flush timeouts",
"title": "Flush timeouts ($instance)",
"type": "timeseries"
},
{
@ -5193,7 +5304,7 @@
"type": "victoriametrics-datasource",
"uid": "$ds"
},
"description": "Shows the lag between average samples timestamp and aggregation interval.\n\nLower is better.\n\nToo high lag or lag exceeding the interval might be a sign of data delay before aggregation or resource insufficiency on aggregator. Samples with high lag may affect accuracy of aggregation.\n\nSee https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples",
"description": "Shows the max lag between samples timestamps within one batch passed to the aggregation input.\n\nLower is better.\n\nToo high lag or lag exceeding the interval might be a sign that data was delayed before aggregation or resource insufficiency on aggregator. Samples with high lag may affect accuracy of aggregation.\n\nSee https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples",
"fieldConfig": {
"defaults": {
"color": {
@ -5254,8 +5365,8 @@
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 15
"x": 0,
"y": 23
},
"id": 142,
"options": {
@ -5277,14 +5388,14 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "histogram_quantile(0.99, vm_streamaggr_samples_lag_seconds_bucket{job=~\"$job\",instance=~\"$instance\"}[$__rate_interval])",
"expr": "histogram_quantile(0.99, rate(vm_streamaggr_samples_lag_seconds_bucket{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]))",
"instant": false,
"legendFormat": "{{instance}} ({{job}})",
"legendFormat": "{{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "A"
}
],
"title": "Aggregated samples lag",
"title": "Samples lag 0.99 quantile ($instance)",
"type": "timeseries"
},
{
@ -5292,7 +5403,7 @@
"type": "victoriametrics-datasource",
"uid": "$ds"
},
"description": "Shows the size of Label Compressor in bytes.\n\nLabels compressor encodes label-value pairs during aggregation to optimise memory usage. It is expected for its size to grow with time and to reset on vmagent restarts.\n\nRapid spikes in Label compressor size might be a sign of significant changes in labels of received samples.",
"description": "The 99th percentile of avg flush duration for the aggregated data. \n\nSmaller is better.\n\nAggregation can produce incorrect results ff flush duration exceeds configured deduplication interval. See \"Flush Timeouts\" panel.",
"fieldConfig": {
"defaults": {
"color": {
@ -5345,17 +5456,17 @@
}
]
},
"unit": "decbytes"
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"x": 12,
"y": 23
},
"id": 140,
"id": 137,
"options": {
"legend": {
"calcs": [],
@ -5375,14 +5486,111 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "vm_streamaggr_labels_compressor_size_bytes{job=~\"$job\",instance=~\"$instance\"} > 0",
"expr": "histogram_quantile(0.99, rate(vm_streamaggr_dedup_flush_duration_seconds_bucket{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]))",
"instant": false,
"legendFormat": "{{instance}} ({{job}})",
"legendFormat": "{{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "A"
}
],
"title": "Labels compressor bytes",
"title": "Dedup flush duration 0.99 quantile ($instance)",
"type": "timeseries"
},
{
"datasource": {
"type": "victoriametrics-datasource",
"uid": "$ds"
},
"description": "Shows the eviction rate of time series because of staleness.\n\nThere are two stages where series can be marked as stale.\n1. Input. Aggregator keeps in memory each received unique time series. The time series becomes stale and gets removed if no samples were received during [staleness interval](https://docs.victoriametrics.com/stream-aggregation/#staleness) for this series. \n\n2. Output. The output key is a resulting time series produced by aggregating many input series. The time series becomes stale and gets removed if no samples were received during [staleness interval](https://docs.victoriametrics.com/stream-aggregation/#staleness) for any of input series for this aggregation.\n\nIncrease in `input` keys shows that series previously matched by the aggregation rule now became stale.\n\nIncrease in `output` keys shows that series previously produced by the aggregation rule now became stale.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"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": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 31
},
"id": 144,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "victoriametrics-datasource",
"uid": "$ds"
},
"editorMode": "code",
"expr": "increase(vm_streamaggr_stale_samples_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]) > 0",
"instant": false,
"legendFormat": "{{url}} ({{job}}): match={{match}}; key={{key}}",
"range": true,
"refId": "A"
}
],
"title": "Staleness rate ($instance)",
"type": "timeseries"
},
{
@ -5444,13 +5652,30 @@
]
}
},
"overrides": []
"overrides": [
{
"matcher": {
"id": "byRegexp",
"options": "/bytes.*/"
},
"properties": [
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "unit",
"value": "bytes"
}
]
}
]
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 23
"y": 31
},
"id": 141,
"options": {
@ -5472,14 +5697,28 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "vm_streamaggr_labels_compressor_items_count{job=~\"$job\",instance=~\"$instance\"} > 0",
"expr": "max(vm_streamaggr_labels_compressor_items_count{job=~\"$job\",instance=~\"$instance\"}) by(job, instance)",
"hide": false,
"instant": false,
"legendFormat": "{{instance}} ({{job}})",
"legendFormat": "items: {{instance}} ({{job}})",
"range": true,
"refId": "A"
},
{
"datasource": {
"type": "victoriametrics-datasource",
"uid": "$ds"
},
"editorMode": "code",
"expr": "max(vm_streamaggr_labels_compressor_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance)",
"hide": false,
"instant": false,
"legendFormat": "bytes: {{instance}} ({{job}})",
"range": true,
"refId": "B"
}
],
"title": "Labels compressor items count",
"title": "Labels compressor ($instance)",
"type": "timeseries"
}
],
@ -5551,7 +5790,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -5567,7 +5807,7 @@
"h": 8,
"w": 12,
"x": 0,
"y": 16
"y": 8
},
"id": 60,
"options": {
@ -5655,7 +5895,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -5671,7 +5912,7 @@
"h": 8,
"w": 12,
"x": 12,
"y": 16
"y": 8
},
"id": 66,
"options": {
@ -5759,7 +6000,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -5775,7 +6017,7 @@
"h": 8,
"w": 12,
"x": 0,
"y": 24
"y": 16
},
"id": 61,
"options": {
@ -5863,7 +6105,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -5879,7 +6122,7 @@
"h": 8,
"w": 12,
"x": 12,
"y": 24
"y": 16
},
"id": 65,
"options": {
@ -5929,6 +6172,7 @@
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
@ -5942,6 +6186,7 @@
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
@ -5964,7 +6209,8 @@
"mode": "absolute",
"steps": [
{
"color": "transparent"
"color": "transparent",
"value": null
},
{
"color": "red",
@ -5980,7 +6226,7 @@
"h": 8,
"w": 12,
"x": 0,
"y": 32
"y": 24
},
"id": 88,
"options": {
@ -6026,6 +6272,7 @@
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
@ -6078,7 +6325,7 @@
"h": 8,
"w": 12,
"x": 12,
"y": 32
"y": 24
},
"id": 84,
"options": {
@ -6128,6 +6375,7 @@
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
@ -6141,6 +6389,7 @@
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
@ -6163,7 +6412,8 @@
"mode": "absolute",
"steps": [
{
"color": "transparent"
"color": "transparent",
"value": null
},
{
"color": "red",
@ -6179,7 +6429,7 @@
"h": 8,
"w": 12,
"x": 0,
"y": 40
"y": 32
},
"id": 90,
"options": {
@ -6984,4 +7234,4 @@
"uid": "G7Z9GzMGz_vm",
"version": 1,
"weekStart": ""
}
}

366
dashboards/vmagent.json
View file

@ -4574,7 +4574,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -4590,7 +4591,7 @@
"h": 8,
"w": 12,
"x": 12,
"y": 14
"y": 6
},
"id": 131,
"options": {
@ -4678,7 +4679,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -4694,7 +4696,7 @@
"h": 8,
"w": 12,
"x": 0,
"y": 22
"y": 14
},
"id": 130,
"options": {
@ -4795,7 +4797,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -4811,7 +4814,7 @@
"h": 8,
"w": 12,
"x": 12,
"y": 22
"y": 14
},
"id": 77,
"options": {
@ -4886,7 +4889,7 @@
"type": "prometheus",
"uid": "$ds"
},
"description": "The 99th percentile of avg flush duration for the aggregated data. \n\nSmaller is better.\n\nAggregation can produce incorrect results ff flush duration exceeds configured deduplication interval. See \"Flush Timeouts\" panel.",
"description": "Shows the number of matched samples by the aggregation rule. \n\nThe more samples is matched, the more work this aggregation rule does. The matching rule is specified via `match` param.\n\nSee more details in [stream aggregation config](https://docs.victoriametrics.com/stream-aggregation/#stream-aggregation-config). ",
"fieldConfig": {
"defaults": {
"color": {
@ -4938,8 +4941,7 @@
"value": 80
}
]
},
"unit": "s"
}
},
"overrides": []
},
@ -4949,13 +4951,19 @@
"x": 0,
"y": 7
},
"id": 137,
"id": 146,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"calcs": [
"min",
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true
"showLegend": true,
"sortBy": "Last *",
"sortDesc": true
},
"tooltip": {
"mode": "single",
@ -4969,14 +4977,14 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "histogram_quantile(0.99, vm_streamaggr_dedup_flush_duration_seconds_bucket{job=~\"$job\",instance=~\"$instance\"}[$__rate_interval])",
"expr": "rate(vm_streamaggr_matched_samples_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]) > 0",
"instant": false,
"legendFormat": "{{instance}} ({{job}})",
"legendFormat": "{{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "A"
}
],
"title": "Dedup flush duration (0.99)",
"title": "Matched samples ($instance)",
"type": "timeseries"
},
{
@ -4984,7 +4992,7 @@
"type": "prometheus",
"uid": "$ds"
},
"description": "Amount of ignored samples during aggregation. \nStream aggregation will drop samples with NaN values, or samples with too old timestamps. See https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples ",
"description": "The rate of ignored samples during aggregation. \nStream aggregation will drop samples with NaN values, or samples with too old timestamps. See https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples ",
"fieldConfig": {
"defaults": {
"color": {
@ -5066,14 +5074,117 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "increase(vm_streamaggr_ignored_samples_total[5m]) > 0",
"expr": "rate(vm_streamaggr_ignored_samples_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]) > 0",
"instant": false,
"legendFormat": "{{reason}}: {{instance}} ({{job}})",
"legendFormat": "{{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "A"
}
],
"title": "Ignored samples",
"title": "Ignored samples ($instance)",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"description": "Shows the number of produced samples by the aggregation rule. \n\nNumber of produced samples depend on params like `by`, `without`, `interval`, etc.\n\nSee more details in [stream aggregation config](https://docs.victoriametrics.com/stream-aggregation/#stream-aggregation-config). ",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"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": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 15
},
"id": 147,
"options": {
"legend": {
"calcs": [
"min",
"lastNotNull",
"max"
],
"displayMode": "table",
"placement": "bottom",
"showLegend": true,
"sortBy": "Last *",
"sortDesc": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"editorMode": "code",
"expr": "rate(vm_streamaggr_flushed_samples_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]) > 0",
"instant": false,
"legendFormat": "{{url}} ({{job}}): match={{match}}; output={{output}}",
"range": true,
"refId": "A"
}
],
"title": "Produced samples ($instance)",
"type": "timeseries"
},
{
@ -5141,7 +5252,7 @@
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"x": 12,
"y": 15
},
"id": 139,
@ -5164,9 +5275,9 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "increase(vm_streamaggr_flush_timeouts_total{job=~\"$job\",instance=~\"$instance\"}[$__rate_interval]) > 0",
"expr": "increase(vm_streamaggr_flush_timeouts_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval])",
"instant": false,
"legendFormat": "aggregate: {{instance}} ({{job}})",
"legendFormat": "aggregation: {{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "A"
},
@ -5176,15 +5287,15 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "increase(vm_streamaggr_dedup_flush_timeouts_total{job=~\"$job\",instance=~\"$instance\"}[$__rate_interval]) > 0",
"expr": "increase(vm_streamaggr_dedup_flush_timeouts_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval])",
"hide": false,
"instant": false,
"legendFormat": "dedup: {{instance}} ({{job}})",
"legendFormat": "deduplication: {{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "B"
}
],
"title": "Flush timeouts",
"title": "Flush timeouts ($instance)",
"type": "timeseries"
},
{
@ -5192,7 +5303,7 @@
"type": "prometheus",
"uid": "$ds"
},
"description": "Shows the lag between average samples timestamp and aggregation interval.\n\nLower is better.\n\nToo high lag or lag exceeding the interval might be a sign of data delay before aggregation or resource insufficiency on aggregator. Samples with high lag may affect accuracy of aggregation.\n\nSee https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples",
"description": "Shows the max lag between samples timestamps within one batch passed to the aggregation input.\n\nLower is better.\n\nToo high lag or lag exceeding the interval might be a sign that data was delayed before aggregation or resource insufficiency on aggregator. Samples with high lag may affect accuracy of aggregation.\n\nSee https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples",
"fieldConfig": {
"defaults": {
"color": {
@ -5253,8 +5364,8 @@
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 15
"x": 0,
"y": 23
},
"id": 142,
"options": {
@ -5276,14 +5387,14 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "histogram_quantile(0.99, vm_streamaggr_samples_lag_seconds_bucket{job=~\"$job\",instance=~\"$instance\"}[$__rate_interval])",
"expr": "histogram_quantile(0.99, rate(vm_streamaggr_samples_lag_seconds_bucket{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]))",
"instant": false,
"legendFormat": "{{instance}} ({{job}})",
"legendFormat": "{{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "A"
}
],
"title": "Aggregated samples lag",
"title": "Samples lag 0.99 quantile ($instance)",
"type": "timeseries"
},
{
@ -5291,7 +5402,7 @@
"type": "prometheus",
"uid": "$ds"
},
"description": "Shows the size of Label Compressor in bytes.\n\nLabels compressor encodes label-value pairs during aggregation to optimise memory usage. It is expected for its size to grow with time and to reset on vmagent restarts.\n\nRapid spikes in Label compressor size might be a sign of significant changes in labels of received samples.",
"description": "The 99th percentile of avg flush duration for the aggregated data. \n\nSmaller is better.\n\nAggregation can produce incorrect results ff flush duration exceeds configured deduplication interval. See \"Flush Timeouts\" panel.",
"fieldConfig": {
"defaults": {
"color": {
@ -5344,17 +5455,17 @@
}
]
},
"unit": "decbytes"
"unit": "s"
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"x": 12,
"y": 23
},
"id": 140,
"id": 137,
"options": {
"legend": {
"calcs": [],
@ -5374,14 +5485,111 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "vm_streamaggr_labels_compressor_size_bytes{job=~\"$job\",instance=~\"$instance\"} > 0",
"expr": "histogram_quantile(0.99, rate(vm_streamaggr_dedup_flush_duration_seconds_bucket{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]))",
"instant": false,
"legendFormat": "{{instance}} ({{job}})",
"legendFormat": "{{url}} ({{job}}): match={{match}}; outputs={{outputs}}",
"range": true,
"refId": "A"
}
],
"title": "Labels compressor bytes",
"title": "Dedup flush duration 0.99 quantile ($instance)",
"type": "timeseries"
},
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"description": "Shows the eviction rate of time series because of staleness.\n\nThere are two stages where series can be marked as stale.\n1. Input. Aggregator keeps in memory each received unique time series. The time series becomes stale and gets removed if no samples were received during [staleness interval](https://docs.victoriametrics.com/stream-aggregation/#staleness) for this series. \n\n2. Output. The output key is a resulting time series produced by aggregating many input series. The time series becomes stale and gets removed if no samples were received during [staleness interval](https://docs.victoriametrics.com/stream-aggregation/#staleness) for any of input series for this aggregation.\n\nIncrease in `input` keys shows that series previously matched by the aggregation rule now became stale.\n\nIncrease in `output` keys shows that series previously produced by the aggregation rule now became stale.",
"fieldConfig": {
"defaults": {
"color": {
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
"axisPlacement": "auto",
"axisSoftMin": 0,
"barAlignment": 0,
"drawStyle": "line",
"fillOpacity": 0,
"gradientMode": "none",
"hideFrom": {
"legend": false,
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
"scaleDistribution": {
"type": "linear"
},
"showPoints": "auto",
"spanNulls": false,
"stacking": {
"group": "A",
"mode": "none"
},
"thresholdsStyle": {
"mode": "off"
}
},
"mappings": [],
"thresholds": {
"mode": "absolute",
"steps": [
{
"color": "green",
"value": null
},
{
"color": "red",
"value": 80
}
]
}
},
"overrides": []
},
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 31
},
"id": 144,
"options": {
"legend": {
"calcs": [],
"displayMode": "list",
"placement": "bottom",
"showLegend": true
},
"tooltip": {
"mode": "single",
"sort": "none"
}
},
"targets": [
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"editorMode": "code",
"expr": "increase(vm_streamaggr_stale_samples_total{job=~\"$job\",instance=~\"$instance\", url=~\"$url\"}[$__rate_interval]) > 0",
"instant": false,
"legendFormat": "{{url}} ({{job}}): match={{match}}; key={{key}}",
"range": true,
"refId": "A"
}
],
"title": "Staleness rate ($instance)",
"type": "timeseries"
},
{
@ -5443,13 +5651,30 @@
]
}
},
"overrides": []
"overrides": [
{
"matcher": {
"id": "byRegexp",
"options": "/bytes.*/"
},
"properties": [
{
"id": "custom.axisPlacement",
"value": "right"
},
{
"id": "unit",
"value": "bytes"
}
]
}
]
},
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 23
"y": 31
},
"id": 141,
"options": {
@ -5471,14 +5696,28 @@
"uid": "$ds"
},
"editorMode": "code",
"expr": "vm_streamaggr_labels_compressor_items_count{job=~\"$job\",instance=~\"$instance\"} > 0",
"expr": "max(vm_streamaggr_labels_compressor_items_count{job=~\"$job\",instance=~\"$instance\"}) by(job, instance)",
"hide": false,
"instant": false,
"legendFormat": "{{instance}} ({{job}})",
"legendFormat": "items: {{instance}} ({{job}})",
"range": true,
"refId": "A"
},
{
"datasource": {
"type": "prometheus",
"uid": "$ds"
},
"editorMode": "code",
"expr": "max(vm_streamaggr_labels_compressor_size_bytes{job=~\"$job\", instance=~\"$instance\"}) by(job, instance)",
"hide": false,
"instant": false,
"legendFormat": "bytes: {{instance}} ({{job}})",
"range": true,
"refId": "B"
}
],
"title": "Labels compressor items count",
"title": "Labels compressor ($instance)",
"type": "timeseries"
}
],
@ -5550,7 +5789,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -5566,7 +5806,7 @@
"h": 8,
"w": 12,
"x": 0,
"y": 16
"y": 8
},
"id": 60,
"options": {
@ -5654,7 +5894,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -5670,7 +5911,7 @@
"h": 8,
"w": 12,
"x": 12,
"y": 16
"y": 8
},
"id": 66,
"options": {
@ -5758,7 +5999,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -5774,7 +6016,7 @@
"h": 8,
"w": 12,
"x": 0,
"y": 24
"y": 16
},
"id": 61,
"options": {
@ -5862,7 +6104,8 @@
"mode": "absolute",
"steps": [
{
"color": "green"
"color": "green",
"value": null
},
{
"color": "red",
@ -5878,7 +6121,7 @@
"h": 8,
"w": 12,
"x": 12,
"y": 24
"y": 16
},
"id": 65,
"options": {
@ -5928,6 +6171,7 @@
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
@ -5941,6 +6185,7 @@
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
@ -5963,7 +6208,8 @@
"mode": "absolute",
"steps": [
{
"color": "transparent"
"color": "transparent",
"value": null
},
{
"color": "red",
@ -5979,7 +6225,7 @@
"h": 8,
"w": 12,
"x": 0,
"y": 32
"y": 24
},
"id": 88,
"options": {
@ -6025,6 +6271,7 @@
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
@ -6077,7 +6324,7 @@
"h": 8,
"w": 12,
"x": 12,
"y": 32
"y": 24
},
"id": 84,
"options": {
@ -6127,6 +6374,7 @@
"mode": "palette-classic"
},
"custom": {
"axisBorderShow": false,
"axisCenteredZero": false,
"axisColorMode": "text",
"axisLabel": "",
@ -6140,6 +6388,7 @@
"tooltip": false,
"viz": false
},
"insertNulls": false,
"lineInterpolation": "linear",
"lineWidth": 1,
"pointSize": 5,
@ -6162,7 +6411,8 @@
"mode": "absolute",
"steps": [
{
"color": "transparent"
"color": "transparent",
"value": null
},
{
"color": "red",
@ -6178,7 +6428,7 @@
"h": 8,
"w": 12,
"x": 0,
"y": 40
"y": 32
},
"id": 90,
"options": {
@ -6983,4 +7233,4 @@
"uid": "G7Z9GzMGz",
"version": 1,
"weekStart": ""
}
}

7
docs/CHANGELOG.md
View file

@ -32,6 +32,13 @@ See also [LTS releases](https://docs.victoriametrics.com/lts-releases/).
* FEATURE: [vmauth](https://docs.victoriametrics.com/vmauth/): allow overriding `Host` header with a target host before sending to a downstream. See this [issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6453)
* FEATURE: [dashboards](https://grafana.com/orgs/victoriametrics): add [Grafana dashboard](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/dashboards/vmauth.json) and [alerting rules](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts-vmauth.yml) for [vmauth](https://docs.victoriametrics.com/vmauth/) dashboard. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4313) for details.
* FEATURE: [vmagent](https://docs.victoriametrics.com/vmagent/): added `yandexcloud_sd` AWS API IMDSv2 support.
* FEATURE: [vmagent](https://docs.victoriametrics.com/vmagent/): expose metrics related to [stream aggregation](https://docs.victoriametrics.com/stream-aggregation/):
* `vm_streamaggr_matched_samples_total` - shows the number of samples matched by the aggregation rule;
* `vm_streamaggr_flushed_samples_total` - shows the number of samples produced by the aggregation rule;
* `vm_streamaggr_samples_lag_seconds` - shows the max lag between samples timestamps within one batch received by the aggregation;
* `vm_streamaggr_stale_samples_total` - shows the number of time series that became [stale](https://docs.victoriametrics.com/stream-aggregation/#staleness) during aggregation;
* metrics related to stream aggregation got additional labels `match` (matching param), `group` (`by` or `without` param), `url` (address of `remoteWrite.url` where aggregation is applied), `position` (the position of the aggregation rule in config file).
* These and other metrics were reflected on the [vmagent dashboard](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/dashboards/vmagent.json) in `stream aggregation` section.
* BUGFIX: [docker-compose](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/deployment/docker#docker-compose-environment-for-victoriametrics): fix incorrect link to vmui from [VictoriaMetrics plugin in Grafana](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/master/deployment/docker#grafana).
* BUGFIX: [Single-node VictoriaMetrics](https://docs.victoriametrics.com/) and `vmstorage` in [VictoriaMetrics cluster](https://docs.victoriametrics.com/cluster-victoriametrics/): Fix the dateMetricIDCache consistency issue that leads to duplicate per-day index entries when new time series are inserted concurrently. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6534) for details.

9
lib/promrelabel/if_expression.go
View file

@ -1,6 +1,7 @@
package promrelabel
import (
"bytes"
"encoding/json"
"fmt"
@ -143,7 +144,13 @@ func (ie *IfExpression) String() string {
if len(ie.ies) == 1 {
return ie.ies[0].String()
}
return fmt.Sprintf("%s", ie.ies)
var buf bytes.Buffer
buf.WriteString(ie.ies[0].String())
for _, e := range ie.ies[1:] {
buf.WriteString(",")
buf.WriteString(e.String())
}
return buf.String()
}
type ifExpression struct {

13
lib/streamaggr/deduplicator.go
View file

@ -1,6 +1,7 @@
package streamaggr
import (
"fmt"
"slices"
"sync"
"time"
@ -35,7 +36,7 @@ type Deduplicator struct {
// Common case is to drop `replica`-like labels from samples received from HA datasources.
//
// MustStop must be called on the returned deduplicator in order to free up occupied resources.
func NewDeduplicator(pushFunc PushFunc, dedupInterval time.Duration, dropLabels []string) *Deduplicator {
func NewDeduplicator(pushFunc PushFunc, dedupInterval time.Duration, dropLabels []string, alias string) *Deduplicator {
d := &Deduplicator{
da: newDedupAggr(),
dropLabels: dropLabels,
@ -45,15 +46,17 @@ func NewDeduplicator(pushFunc PushFunc, dedupInterval time.Duration, dropLabels
}
ms := d.ms
_ = ms.NewGauge(`vm_streamaggr_dedup_state_size_bytes`, func() float64 {
metricLabels := fmt.Sprintf(`url=%q`, alias)
_ = ms.NewGauge(fmt.Sprintf(`vm_streamaggr_dedup_state_size_bytes{%s}`, metricLabels), func() float64 {
return float64(d.da.sizeBytes())
})
_ = ms.NewGauge(`vm_streamaggr_dedup_state_items_count`, func() float64 {
_ = ms.NewGauge(fmt.Sprintf(`vm_streamaggr_dedup_state_items_count{%s}`, metricLabels), func() float64 {
return float64(d.da.itemsCount())
})
d.dedupFlushDuration = ms.GetOrCreateHistogram(`vm_streamaggr_dedup_flush_duration_seconds`)
d.dedupFlushTimeouts = ms.GetOrCreateCounter(`vm_streamaggr_dedup_flush_timeouts_total`)
d.dedupFlushDuration = ms.GetOrCreateHistogram(fmt.Sprintf(`vm_streamaggr_dedup_flush_duration_seconds{%s}`, metricLabels))
d.dedupFlushTimeouts = ms.GetOrCreateCounter(fmt.Sprintf(`vm_streamaggr_dedup_flush_timeouts_total{%s}`, metricLabels))
metrics.RegisterSet(ms)

2
lib/streamaggr/deduplicator_test.go
View file

@ -29,7 +29,7 @@ foo{instance="x",job="aaa",pod="sdfd-dfdfdfs",node="aosijjewrerfd",namespace="as
baz_aaa_aaa_fdd{instance="x",job="aaa",pod="sdfd-dfdfdfs",node="aosijjewrerfd",namespace="asdff",container="ohohffd"} -2.3
`)
d := NewDeduplicator(pushFunc, time.Hour, []string{"node", "instance"})
d := NewDeduplicator(pushFunc, time.Hour, []string{"node", "instance"}, "global")
for i := 0; i < 10; i++ {
d.Push(tss)
}

2
lib/streamaggr/deduplicator_timing_test.go
View file

@ -9,7 +9,7 @@ import (
func BenchmarkDeduplicatorPush(b *testing.B) {
pushFunc := func(_ []prompbmarshal.TimeSeries) {}
d := NewDeduplicator(pushFunc, time.Hour, nil)
d := NewDeduplicator(pushFunc, time.Hour, nil, "global")
b.ReportAllocs()
b.SetBytes(int64(len(benchSeries)))

10
lib/streamaggr/histogram_bucket.go
View file

@ -66,8 +66,9 @@ func (as *histogramBucketAggrState) pushSamples(samples []pushSample) {
}
}
func (as *histogramBucketAggrState) removeOldEntries(currentTime uint64) {
func (as *histogramBucketAggrState) removeOldEntries(ctx *flushCtx, currentTime uint64) {
m := &as.m
var staleOutputSamples int
m.Range(func(k, v interface{}) bool {
sv := v.(*histogramBucketStateValue)
@ -76,6 +77,7 @@ func (as *histogramBucketAggrState) removeOldEntries(currentTime uint64) {
if deleted {
// Mark the current entry as deleted
sv.deleted = deleted
staleOutputSamples++
}
sv.mu.Unlock()
@ -84,14 +86,14 @@ func (as *histogramBucketAggrState) removeOldEntries(currentTime uint64) {
}
return true
})
ctx.a.staleOutputSamples["histogram_bucket"].Add(staleOutputSamples)
}
func (as *histogramBucketAggrState) flushState(ctx *flushCtx, resetState bool) {
_ = resetState // it isn't used here
func (as *histogramBucketAggrState) flushState(ctx *flushCtx, _ bool) {
currentTime := fasttime.UnixTimestamp()
currentTimeMsec := int64(currentTime) * 1000
as.removeOldEntries(currentTime)
as.removeOldEntries(ctx, currentTime)
m := &as.m
m.Range(func(k, v interface{}) bool {

5
lib/streamaggr/rate.go
View file

@ -108,6 +108,7 @@ func (as *rateAggrState) pushSamples(samples []pushSample) {
func (as *rateAggrState) flushState(ctx *flushCtx, _ bool) {
currentTime := fasttime.UnixTimestamp()
currentTimeMsec := int64(currentTime) * 1000
var staleOutputSamples, staleInputSamples int
m := &as.m
m.Range(func(k, v interface{}) bool {
@ -120,6 +121,7 @@ func (as *rateAggrState) flushState(ctx *flushCtx, _ bool) {
// Mark the current entry as deleted
sv.deleted = deleted
sv.mu.Unlock()
staleOutputSamples++
m.Delete(k)
return true
}
@ -130,6 +132,7 @@ func (as *rateAggrState) flushState(ctx *flushCtx, _ bool) {
for k1, v1 := range lvs {
if currentTime > v1.deleteDeadline {
delete(lvs, k1)
staleInputSamples++
continue
}
rateInterval := v1.timestamp - v1.prevTimestamp
@ -153,4 +156,6 @@ func (as *rateAggrState) flushState(ctx *flushCtx, _ bool) {
ctx.appendSeries(key, as.suffix, currentTimeMsec, rate)
return true
})
ctx.a.staleOutputSamples[as.suffix].Add(staleOutputSamples)
ctx.a.staleInputSamples[as.suffix].Add(staleInputSamples)
}

83
lib/streamaggr/streamaggr.go
View file

@ -47,6 +47,9 @@ var supportedOutputs = []string{
"quantiles(phi1, ..., phiN)",
}
// maxLabelValueLen is maximum match expression label value length in stream aggregation metrics
const maxLabelValueLen = 64
var (
// lc contains information about all compressed labels for streaming aggregation
lc promutils.LabelsCompressor
@ -65,7 +68,7 @@ var (
// opts can contain additional options. If opts is nil, then default options are used.
//
// The returned Aggregators must be stopped with MustStop() when no longer needed.
func LoadFromFile(path string, pushFunc PushFunc, opts *Options) (*Aggregators, error) {
func LoadFromFile(path string, pushFunc PushFunc, opts Options) (*Aggregators, error) {
data, err := fscore.ReadFileOrHTTP(path)
if err != nil {
return nil, fmt.Errorf("cannot load aggregators: %w", err)
@ -133,6 +136,12 @@ type Options struct {
//
// This option can be overridden individually per each aggregation via ignore_first_intervals option.
IgnoreFirstIntervals int
// Alias is name or url of remote write context
Alias string
// aggrID is aggregators id number starting from 1, which is used in metrics labels
aggrID int
}
// Config is a configuration for a single stream aggregation.
@ -243,7 +252,7 @@ type Aggregators struct {
ms *metrics.Set
}
func newAggregatorsFromData(data []byte, pushFunc PushFunc, opts *Options) (*Aggregators, error) {
func newAggregatorsFromData(data []byte, pushFunc PushFunc, opts Options) (*Aggregators, error) {
var cfgs []*Config
if err := yaml.UnmarshalStrict(data, &cfgs); err != nil {
return nil, fmt.Errorf("cannot parse stream aggregation config: %w", err)
@ -252,6 +261,7 @@ func newAggregatorsFromData(data []byte, pushFunc PushFunc, opts *Options) (*Agg
ms := metrics.NewSet()
as := make([]*aggregator, len(cfgs))
for i, cfg := range cfgs {
opts.aggrID = i + 1
a, err := newAggregator(cfg, pushFunc, ms, opts)
if err != nil {
// Stop already initialized aggregators before returning the error.
@ -267,7 +277,8 @@ func newAggregatorsFromData(data []byte, pushFunc PushFunc, opts *Options) (*Agg
logger.Panicf("BUG: cannot marshal the provided configs: %s", err)
}
_ = ms.NewGauge(`vm_streamaggr_dedup_state_size_bytes`, func() float64 {
metricLabels := fmt.Sprintf("url=%q", opts.Alias)
_ = ms.NewGauge(fmt.Sprintf(`vm_streamaggr_dedup_state_size_bytes{%s}`, metricLabels), func() float64 {
n := uint64(0)
for _, aggr := range as {
if aggr.da != nil {
@ -276,7 +287,7 @@ func newAggregatorsFromData(data []byte, pushFunc PushFunc, opts *Options) (*Agg
}
return float64(n)
})
_ = ms.NewGauge(`vm_streamaggr_dedup_state_items_count`, func() float64 {
_ = ms.NewGauge(fmt.Sprintf(`vm_streamaggr_dedup_state_items_count{%s}`, metricLabels), func() float64 {
n := uint64(0)
for _, aggr := range as {
if aggr.da != nil {
@ -395,6 +406,10 @@ type aggregator struct {
dedupFlushTimeouts *metrics.Counter
ignoredOldSamples *metrics.Counter
ignoredNanSamples *metrics.Counter
matchedSamples *metrics.Counter
staleInputSamples map[string]*metrics.Counter
staleOutputSamples map[string]*metrics.Counter
flushedSamples map[string]*metrics.Counter
}
type aggrState interface {
@ -414,11 +429,7 @@ type PushFunc func(tss []prompbmarshal.TimeSeries)
// opts can contain additional options. If opts is nil, then default options are used.
//
// The returned aggregator must be stopped when no longer needed by calling MustStop().
func newAggregator(cfg *Config, pushFunc PushFunc, ms *metrics.Set, opts *Options) (*aggregator, error) {
if opts == nil {
opts = &Options{}
}
func newAggregator(cfg *Config, pushFunc PushFunc, ms *metrics.Set, opts Options) (*aggregator, error) {
// check cfg.Interval
if cfg.Interval == "" {
return nil, fmt.Errorf("missing `interval` option")
@ -586,14 +597,26 @@ func newAggregator(cfg *Config, pushFunc PushFunc, ms *metrics.Set, opts *Option
// initialize suffix to add to metric names after aggregation
suffix := ":" + cfg.Interval
group := "none"
if labels := removeUnderscoreName(by); len(labels) > 0 {
group = fmt.Sprintf("by: %s", strings.Join(labels, ","))
suffix += fmt.Sprintf("_by_%s", strings.Join(labels, "_"))
}
if labels := removeUnderscoreName(without); len(labels) > 0 {
group = fmt.Sprintf("without: %s", strings.Join(labels, ","))
suffix += fmt.Sprintf("_without_%s", strings.Join(labels, "_"))
}
suffix += "_"
outputs := strings.Join(cfg.Outputs, ",")
matchExpr := cfg.Match.String()
if len(matchExpr) > maxLabelValueLen {
matchExpr = matchExpr[:maxLabelValueLen-3] + "..."
}
metricLabels := fmt.Sprintf(`match=%q, group=%q, url=%q, position="%d"`, matchExpr, group, opts.Alias, opts.aggrID)
// initialize the aggregator
a := &aggregator{
match: cfg.Match,
@ -615,14 +638,27 @@ func newAggregator(cfg *Config, pushFunc PushFunc, ms *metrics.Set, opts *Option
stopCh: make(chan struct{}),
flushDuration: ms.GetOrCreateHistogram(`vm_streamaggr_flush_duration_seconds`),
dedupFlushDuration: ms.GetOrCreateHistogram(`vm_streamaggr_dedup_flush_duration_seconds`),
samplesLag: ms.GetOrCreateHistogram(`vm_streamaggr_samples_lag_seconds`),
flushDuration: ms.GetOrCreateHistogram(fmt.Sprintf(`vm_streamaggr_flush_duration_seconds{outputs=%q, %s}`, outputs, metricLabels)),
dedupFlushDuration: ms.GetOrCreateHistogram(fmt.Sprintf(`vm_streamaggr_dedup_flush_duration_seconds{outputs=%q, %s}`, outputs, metricLabels)),
samplesLag: ms.GetOrCreateHistogram(fmt.Sprintf(`vm_streamaggr_samples_lag_seconds{outputs=%q, %s}`, outputs, metricLabels)),
flushTimeouts: ms.GetOrCreateCounter(`vm_streamaggr_flush_timeouts_total`),
dedupFlushTimeouts: ms.GetOrCreateCounter(`vm_streamaggr_dedup_flush_timeouts_total`),
ignoredNanSamples: ms.GetOrCreateCounter(`vm_streamaggr_ignored_samples_total{reason="nan"}`),
ignoredOldSamples: ms.GetOrCreateCounter(`vm_streamaggr_ignored_samples_total{reason="too_old"}`),
matchedSamples: ms.GetOrCreateCounter(fmt.Sprintf(`vm_streamaggr_matched_samples_total{outputs=%q, %s}`, outputs, metricLabels)),
flushTimeouts: ms.GetOrCreateCounter(fmt.Sprintf(`vm_streamaggr_flush_timeouts_total{outputs=%q, %s}`, outputs, metricLabels)),
dedupFlushTimeouts: ms.GetOrCreateCounter(fmt.Sprintf(`vm_streamaggr_dedup_flush_timeouts_total{outputs=%q, %s}`, outputs, metricLabels)),
ignoredNanSamples: ms.GetOrCreateCounter(fmt.Sprintf(`vm_streamaggr_ignored_samples_total{reason="nan", outputs=%q, %s}`, outputs, metricLabels)),
ignoredOldSamples: ms.GetOrCreateCounter(fmt.Sprintf(`vm_streamaggr_ignored_samples_total{reason="too_old", outputs=%q, %s}`, outputs, metricLabels)),
staleInputSamples: make(map[string]*metrics.Counter, len(cfg.Outputs)),
staleOutputSamples: make(map[string]*metrics.Counter, len(cfg.Outputs)),
flushedSamples: make(map[string]*metrics.Counter, len(cfg.Outputs)),
}
for _, output := range cfg.Outputs {
// Removing output args for metric label value in outputs like quantile(arg1, arg2)
if ri := strings.IndexRune(output, '('); ri >= 0 {
output = output[:ri]
}
a.staleInputSamples[output] = ms.GetOrCreateCounter(fmt.Sprintf(`vm_streamaggr_stale_samples_total{key="input", output=%q, %s}`, output, metricLabels))
a.staleOutputSamples[output] = ms.GetOrCreateCounter(fmt.Sprintf(`vm_streamaggr_stale_samples_total{key="output", output=%q, %s}`, output, metricLabels))
a.flushedSamples[output] = ms.GetOrCreateCounter(fmt.Sprintf(`vm_streamaggr_flushed_samples_total{output=%q, %s}`, output, metricLabels))
}
if dedupInterval > 0 {
a.da = newDedupAggr()
@ -821,8 +857,7 @@ func (a *aggregator) Push(tss []prompbmarshal.TimeSeries, matchIdxs []byte) {
dropLabels := a.dropInputLabels
ignoreOldSamples := a.ignoreOldSamples
minTimestamp := a.minTimestamp.Load()
var totalLag int64
var totalSamples int
var maxLag int64
for idx, ts := range tss {
if !a.match.Match(ts.Labels) {
continue
@ -865,8 +900,9 @@ func (a *aggregator) Push(tss []prompbmarshal.TimeSeries, matchIdxs []byte) {
// Skip old samples outside the current aggregation interval
continue
}
totalLag += now - sample.Timestamp
totalSamples++
if maxLag < now-sample.Timestamp {
maxLag = now - sample.Timestamp
}
samples = append(samples, pushSample{
key: key,
value: sample.Value,
@ -874,8 +910,9 @@ func (a *aggregator) Push(tss []prompbmarshal.TimeSeries, matchIdxs []byte) {
})
}
}
if totalSamples > 0 {
a.samplesLag.Update(float64(totalLag/int64(totalSamples)) / 1000)
if len(samples) > 0 {
a.matchedSamples.Add(len(samples))
a.samplesLag.Update(float64(maxLag) / 1_000)
}
ctx.samples = samples
ctx.buf = buf
@ -1088,6 +1125,7 @@ func (ctx *flushCtx) appendSeries(key, suffix string, timestamp int64, value flo
Labels: ctx.labels[labelsLen:],
Samples: ctx.samples[samplesLen:],
})
ctx.a.flushedSamples[suffix].Add(len(ctx.tss))
// Limit the maximum length of ctx.tss in order to limit memory usage.
if len(ctx.tss) >= 10_000 {
@ -1115,6 +1153,7 @@ func (ctx *flushCtx) appendSeriesWithExtraLabel(key, suffix string, timestamp in
Labels: ctx.labels[labelsLen:],
Samples: ctx.samples[samplesLen:],
})
ctx.a.flushedSamples[suffix].Add(len(ctx.tss))
}
func addMetricSuffix(labels []prompbmarshal.Label, offset int, firstSuffix, lastSuffix string) []prompbmarshal.Label {

10
lib/streamaggr/streamaggr_test.go
View file

@ -20,7 +20,7 @@ func TestAggregatorsFailure(t *testing.T) {
pushFunc := func(_ []prompbmarshal.TimeSeries) {
panic(fmt.Errorf("pushFunc shouldn't be called"))
}
a, err := newAggregatorsFromData([]byte(config), pushFunc, nil)
a, err := newAggregatorsFromData([]byte(config), pushFunc, Options{})
if err == nil {
t.Fatalf("expecting non-nil error")
}
@ -158,11 +158,11 @@ func TestAggregatorsEqual(t *testing.T) {
t.Helper()
pushFunc := func(_ []prompbmarshal.TimeSeries) {}
aa, err := newAggregatorsFromData([]byte(a), pushFunc, nil)
aa, err := newAggregatorsFromData([]byte(a), pushFunc, Options{})
if err != nil {
t.Fatalf("cannot initialize aggregators: %s", err)
}
ab, err := newAggregatorsFromData([]byte(b), pushFunc, nil)
ab, err := newAggregatorsFromData([]byte(b), pushFunc, Options{})
if err != nil {
t.Fatalf("cannot initialize aggregators: %s", err)
}
@ -221,7 +221,7 @@ func TestAggregatorsSuccess(t *testing.T) {
tssOutput = appendClonedTimeseries(tssOutput, tss)
tssOutputLock.Unlock()
}
opts := &Options{
opts := Options{
FlushOnShutdown: true,
NoAlignFlushToInterval: true,
}
@ -917,7 +917,7 @@ func TestAggregatorsWithDedupInterval(t *testing.T) {
}
tssOutputLock.Unlock()
}
opts := &Options{
opts := Options{
DedupInterval: 30 * time.Second,
FlushOnShutdown: true,
}

2
lib/streamaggr/streamaggr_timing_test.go
View file

@ -92,7 +92,7 @@ func newBenchAggregators(outputs []string, pushFunc PushFunc) *Aggregators {
outputs: [%s]
`, strings.Join(outputsQuoted, ","))
a, err := newAggregatorsFromData([]byte(config), pushFunc, nil)
a, err := newAggregatorsFromData([]byte(config), pushFunc, Options{})
if err != nil {
panic(fmt.Errorf("unexpected error when initializing aggregators: %s", err))
}

9
lib/streamaggr/total.go
View file

@ -124,8 +124,9 @@ func (as *totalAggrState) pushSamples(samples []pushSample) {
}
}
func (as *totalAggrState) removeOldEntries(currentTime uint64) {
func (as *totalAggrState) removeOldEntries(ctx *flushCtx, currentTime uint64) {
m := &as.m
var staleInputSamples, staleOutputSamples int
m.Range(func(k, v interface{}) bool {
sv := v.(*totalStateValue)
@ -134,12 +135,14 @@ func (as *totalAggrState) removeOldEntries(currentTime uint64) {
if deleted {
// Mark the current entry as deleted
sv.deleted = deleted
staleOutputSamples++
} else {
// Delete outdated entries in sv.lastValues
m := sv.lastValues
for k1, v1 := range m {
if currentTime > v1.deleteDeadline {
delete(m, k1)
staleInputSamples++
}
}
}
@ -150,13 +153,15 @@ func (as *totalAggrState) removeOldEntries(currentTime uint64) {
}
return true
})
ctx.a.staleInputSamples[as.suffix].Add(staleInputSamples)
ctx.a.staleOutputSamples[as.suffix].Add(staleOutputSamples)
}
func (as *totalAggrState) flushState(ctx *flushCtx, resetState bool) {
currentTime := fasttime.UnixTimestamp()
currentTimeMsec := int64(currentTime) * 1000
as.removeOldEntries(currentTime)
as.removeOldEntries(ctx, currentTime)
m := &as.m
m.Range(func(k, v interface{}) bool {