diff --git a/app/vmagent/remotewrite/remotewrite.go b/app/vmagent/remotewrite/remotewrite.go index bd5d01a2c..73f40ff32 100644 --- a/app/vmagent/remotewrite/remotewrite.go +++ b/app/vmagent/remotewrite/remotewrite.go @@ -484,14 +484,16 @@ func tryPush(at *auth.Token, wr *prompbmarshal.WriteRequest, forceDropSamplesOnF rowsCountAfterRelabel := getRowsCount(tssBlock) rowsDroppedByGlobalRelabel.Add(rowsCountBeforeRelabel - rowsCountAfterRelabel) } - idxDiff := 0 - for i, ts := range tssBlock { - if storagelimits.ExceedingLabels(ts.Labels) { - idxDiff++ - } else if idxDiff > 0 { - tss[i-idxDiff] = tss[i] + tssBlockTmp := tssBlock[:0] + for _, ts := range tssBlock { + if !storagelimits.ExceedingLabels(ts.Labels) { + tssBlockTmp = append(tssBlockTmp, ts) } } + tssBlock = tssBlockTmp + if len(tssBlock) == 0 { + continue + } sortLabelsIfNeeded(tssBlock) tssBlock = limitSeriesCardinality(tssBlock) if sas.IsEnabled() { diff --git a/app/vminsert/common/insert_ctx.go b/app/vminsert/common/insert_ctx.go index 22abcb545..261fd6131 100644 --- a/app/vminsert/common/insert_ctx.go +++ b/app/vminsert/common/insert_ctx.go @@ -62,9 +62,6 @@ func (ctx *InsertCtx) marshalMetricNameRaw(prefix []byte, labels []prompbmarshal // WriteDataPoint writes (timestamp, value) with the given prefix and labels into ctx buffer. func (ctx *InsertCtx) WriteDataPoint(prefix []byte, labels []prompbmarshal.Label, timestamp int64, value float64) error { - if storagelimits.ExceedingLabels(labels) { - return nil - } metricNameRaw := ctx.marshalMetricNameRaw(prefix, labels) return ctx.addRow(metricNameRaw, timestamp, value) } @@ -73,9 +70,6 @@ func (ctx *InsertCtx) WriteDataPoint(prefix []byte, labels []prompbmarshal.Label // // It returns metricNameRaw for the given labels if len(metricNameRaw) == 0. func (ctx *InsertCtx) WriteDataPointExt(metricNameRaw []byte, labels []prompbmarshal.Label, timestamp int64, value float64) ([]byte, error) { - if storagelimits.ExceedingLabels(labels) { - return metricNameRaw, nil - } if len(metricNameRaw) == 0 { metricNameRaw = ctx.marshalMetricNameRaw(nil, labels) } @@ -144,6 +138,11 @@ func (ctx *InsertCtx) ApplyRelabeling() { ctx.Labels = ctx.relabelCtx.ApplyRelabeling(ctx.Labels) } +// AreLabelsInvalid checks if labels are passing validation +func (ctx *InsertCtx) AreLabelsInvalid() bool { + return len(ctx.Labels) == 0 || storagelimits.ExceedingLabels(ctx.Labels) +} + // FlushBufs flushes buffered rows to the underlying storage. func (ctx *InsertCtx) FlushBufs() error { sas := sasGlobal.Load() diff --git a/app/vminsert/csvimport/request_handler.go b/app/vminsert/csvimport/request_handler.go index d7dc794c2..f806bcd60 100644 --- a/app/vminsert/csvimport/request_handler.go +++ b/app/vminsert/csvimport/request_handler.go @@ -49,8 +49,8 @@ func insertRows(rows []parser.Row, extraLabels []prompbmarshal.Label) error { if hasRelabeling { ctx.ApplyRelabeling() } - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/datadogsketches/request_handler.go b/app/vminsert/datadogsketches/request_handler.go index 15973fbd0..ec184dd9e 100644 --- a/app/vminsert/datadogsketches/request_handler.go +++ b/app/vminsert/datadogsketches/request_handler.go @@ -63,8 +63,8 @@ func insertRows(sketches []*datadogsketches.Sketch, extraLabels []prompbmarshal. if hasRelabeling { ctx.ApplyRelabeling() } - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/datadogv1/request_handler.go b/app/vminsert/datadogv1/request_handler.go index 792a73879..b230ccdf1 100644 --- a/app/vminsert/datadogv1/request_handler.go +++ b/app/vminsert/datadogv1/request_handler.go @@ -66,8 +66,8 @@ func insertRows(series []datadogv1.Series, extraLabels []prompbmarshal.Label) er if hasRelabeling { ctx.ApplyRelabeling() } - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/datadogv2/request_handler.go b/app/vminsert/datadogv2/request_handler.go index 4523d463a..a7c737c24 100644 --- a/app/vminsert/datadogv2/request_handler.go +++ b/app/vminsert/datadogv2/request_handler.go @@ -69,8 +69,8 @@ func insertRows(series []datadogv2.Series, extraLabels []prompbmarshal.Label) er if hasRelabeling { ctx.ApplyRelabeling() } - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/graphite/request_handler.go b/app/vminsert/graphite/request_handler.go index c736c0d76..2c477133a 100644 --- a/app/vminsert/graphite/request_handler.go +++ b/app/vminsert/graphite/request_handler.go @@ -39,8 +39,8 @@ func insertRows(rows []parser.Row) error { if hasRelabeling { ctx.ApplyRelabeling() } - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/influx/request_handler.go b/app/vminsert/influx/request_handler.go index 2ad0e4e94..b6c410aab 100644 --- a/app/vminsert/influx/request_handler.go +++ b/app/vminsert/influx/request_handler.go @@ -109,8 +109,8 @@ func insertRows(db string, rows []parser.Row, extraLabels []prompbmarshal.Label) ic.Labels = append(ic.Labels[:0], ctx.originLabels...) ic.AddLabel("", metricGroup) ic.ApplyRelabeling() - if len(ic.Labels) == 0 { - // Skip metric without labels. + if ic.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ic.SortLabelsIfNeeded() @@ -130,8 +130,8 @@ func insertRows(db string, rows []parser.Row, extraLabels []prompbmarshal.Label) metricGroup := bytesutil.ToUnsafeString(ctx.metricGroupBuf) ic.Labels = ic.Labels[:labelsLen] ic.AddLabel("", metricGroup) - if len(ic.Labels) == 0 { - // Skip metric without labels. + if ic.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } if err := ic.WriteDataPoint(ctx.metricNameBuf, ic.Labels[len(ic.Labels)-1:], r.Timestamp, f.Value); err != nil { diff --git a/app/vminsert/native/request_handler.go b/app/vminsert/native/request_handler.go index 16d83e2f4..e54a2695a 100644 --- a/app/vminsert/native/request_handler.go +++ b/app/vminsert/native/request_handler.go @@ -58,8 +58,8 @@ func insertRows(block *stream.Block, extraLabels []prompbmarshal.Label) error { if hasRelabeling { ic.ApplyRelabeling() } - if len(ic.Labels) == 0 { - // Skip metric without labels. + if ic.AreLabelsInvalid() { + // Skip metric with invalid labels. return nil } ic.SortLabelsIfNeeded() diff --git a/app/vminsert/newrelic/request_handler.go b/app/vminsert/newrelic/request_handler.go index 226e97075..474981912 100644 --- a/app/vminsert/newrelic/request_handler.go +++ b/app/vminsert/newrelic/request_handler.go @@ -61,8 +61,8 @@ func insertRows(rows []newrelic.Row, extraLabels []prompbmarshal.Label) error { if hasRelabeling { ctx.ApplyRelabeling() } - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/opentelemetry/request_handler.go b/app/vminsert/opentelemetry/request_handler.go index 72560108e..ff267d4a2 100644 --- a/app/vminsert/opentelemetry/request_handler.go +++ b/app/vminsert/opentelemetry/request_handler.go @@ -62,8 +62,8 @@ func insertRows(tss []prompbmarshal.TimeSeries, extraLabels []prompbmarshal.Labe if hasRelabeling { ctx.ApplyRelabeling() } - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/opentsdb/request_handler.go b/app/vminsert/opentsdb/request_handler.go index 9f3f0fbdf..7b71fe766 100644 --- a/app/vminsert/opentsdb/request_handler.go +++ b/app/vminsert/opentsdb/request_handler.go @@ -39,8 +39,8 @@ func insertRows(rows []parser.Row) error { if hasRelabeling { ctx.ApplyRelabeling() } - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/opentsdbhttp/request_handler.go b/app/vminsert/opentsdbhttp/request_handler.go index 2213e7dee..7dd774cca 100644 --- a/app/vminsert/opentsdbhttp/request_handler.go +++ b/app/vminsert/opentsdbhttp/request_handler.go @@ -57,8 +57,8 @@ func insertRows(rows []parser.Row, extraLabels []prompbmarshal.Label) error { if hasRelabeling { ctx.ApplyRelabeling() } - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/prometheusimport/request_handler.go b/app/vminsert/prometheusimport/request_handler.go index 2d5df5beb..6179f9500 100644 --- a/app/vminsert/prometheusimport/request_handler.go +++ b/app/vminsert/prometheusimport/request_handler.go @@ -57,8 +57,8 @@ func insertRows(rows []parser.Row, extraLabels []prompbmarshal.Label) error { if hasRelabeling { ctx.ApplyRelabeling() } - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/prompush/push.go b/app/vminsert/prompush/push.go index fdbbb347b..aa6fb59aa 100644 --- a/app/vminsert/prompush/push.go +++ b/app/vminsert/prompush/push.go @@ -58,8 +58,8 @@ func push(ctx *common.InsertCtx, tss []prompbmarshal.TimeSeries) { ctx.AddLabel(label.Name, label.Value) } ctx.ApplyRelabeling() - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/promremotewrite/request_handler.go b/app/vminsert/promremotewrite/request_handler.go index 0749d4dc4..1f88a8461 100644 --- a/app/vminsert/promremotewrite/request_handler.go +++ b/app/vminsert/promremotewrite/request_handler.go @@ -55,8 +55,8 @@ func insertRows(timeseries []prompb.TimeSeries, extraLabels []prompbmarshal.Labe if hasRelabeling { ctx.ApplyRelabeling() } - if len(ctx.Labels) == 0 { - // Skip metric without labels. + if ctx.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ctx.SortLabelsIfNeeded() diff --git a/app/vminsert/vmimport/request_handler.go b/app/vminsert/vmimport/request_handler.go index 54a5d5435..d1a68256e 100644 --- a/app/vminsert/vmimport/request_handler.go +++ b/app/vminsert/vmimport/request_handler.go @@ -61,8 +61,8 @@ func insertRows(rows []parser.Row, extraLabels []prompbmarshal.Label) error { if hasRelabeling { ic.ApplyRelabeling() } - if len(ic.Labels) == 0 { - // Skip metric without labels. + if ic.AreLabelsInvalid() { + // Skip metric with invalid labels. continue } ic.SortLabelsIfNeeded() diff --git a/app/vmselect/vmui/asset-manifest.json b/app/vmselect/vmui/asset-manifest.json index a5692f74b..11aee8cd2 100644 --- a/app/vmselect/vmui/asset-manifest.json +++ b/app/vmselect/vmui/asset-manifest.json @@ -1,13 +1,13 @@ { "files": { "main.css": "./static/css/main.d781989c.css", - "main.js": "./static/js/main.7ec4e6eb.js", + "main.js": "./static/js/main.a7037969.js", "static/js/685.f772060c.chunk.js": "./static/js/685.f772060c.chunk.js", "static/media/MetricsQL.md": "./static/media/MetricsQL.a00044c91d9781cf8557.md", "index.html": "./index.html" }, "entrypoints": [ "static/css/main.d781989c.css", - "static/js/main.7ec4e6eb.js" + "static/js/main.a7037969.js" ] } \ No newline at end of file diff --git a/app/vmselect/vmui/index.html b/app/vmselect/vmui/index.html index 6fdd68e56..b61bbca54 100644 --- a/app/vmselect/vmui/index.html +++ b/app/vmselect/vmui/index.html @@ -1 +1 @@ -vmui
\ No newline at end of file +vmui
\ No newline at end of file diff --git a/app/vmselect/vmui/static/js/main.7ec4e6eb.js b/app/vmselect/vmui/static/js/main.a7037969.js similarity index 99% rename from app/vmselect/vmui/static/js/main.7ec4e6eb.js rename to app/vmselect/vmui/static/js/main.a7037969.js index 342fcc85e..f78e3e9c0 100644 --- a/app/vmselect/vmui/static/js/main.7ec4e6eb.js +++ b/app/vmselect/vmui/static/js/main.a7037969.js @@ -1,2 +1,2 @@ -/*! 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Mr("keydown",(e=>{const{code:t,ctrlKey:n,altKey:r}=e;"Space"===t&&(n||r)&&(e.preventDefault(),a({type:"SET_AUTOCOMPLETE_QUICK",payload:!0}))})),Nt("div",{className:Er()({"vm-additional-settings":!0,"vm-additional-settings_mobile":t}),children:[!(null!==n&&void 0!==n&&n.autocomplete)&&Nt(ba,{title:Nt(Ct.FK,{children:["Quick tip: ",Na]}),children:Nt(Ti,{label:"Autocomplete",value:r,onChange:()=>{a({type:"TOGGLE_AUTOCOMPLETE"})},fullWidth:t})}),Nt(Ti,{label:"Disable cache",value:i,onChange:()=>{l({type:"TOGGLE_NO_CACHE"})},fullWidth:t}),!(null!==n&&void 0!==n&&n.traceQuery)&&Nt(Ti,{label:"Trace query",value:o,onChange:()=>{l({type:"TOGGLE_QUERY_TRACING"})},fullWidth:t})]})},ml=e=>{const{isMobile:t}=ta(),n=(0,r.useRef)(null),{value:a,toggle:i,setFalse:o}=ma(!1);return t?Nt(Ct.FK,{children:[Nt("div",{ref:n,children:Nt(da,{variant:"outlined",startIcon:Nt(dr,{}),onClick:i,ariaLabel:"additional the query settings"})}),Nt(ha,{open:a,buttonRef:n,placement:"bottom-left",onClose:o,title:"Query 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    \n

    \n When looking to reduce the number of active series in your data source,\n you can start by inspecting individual metrics with high cardinality\n (i.e. that have lots of active time series associated with them),\n since that single metric contributes a large fraction of the series that make up your total series count.\n

    ",seriesCountByLabelName:"\n

    \n This table returns a list of the labels with the highest number of series.\n

    \n

    \n Use this table to identify labels that are storing dimensions with high cardinality\n (many different label values).\n

    \n

    \n It is recommended to choose labels such that they have a finite set of values,\n since every unique combination of key-value label pairs creates a new time series\n and therefore can dramatically increase the number of time series in your system.\n

    ",seriesCountByFocusLabelValue:"\n

    \n This table returns a list of unique label values per selected label.\n

    \n

    \n Use this table to identify label values that are storing per each selected series.\n

    ",labelValueCountByLabelName:"\n

    \n This table returns a list of labels with the highest number of the unique values.\n

    \n ",seriesCountByLabelValuePair:"\n

    \n This table returns a list of the label values pairs with the highest number of series.\n

    \n

    \n Use this table to identify unique label values pairs. This helps to identify same labels \n is applied to count timeseries in your system, since every unique combination of key-value label pairs \n creates a new time series and therefore can dramatically increase the number of time series in your system\n

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WITH expressions may improve this:"]}),Nt(pp,{code:'WITH (\n my_resource_utilization(free, limit, filters) = (limit{filters} - free{filters}) / limit{filters} * 100\n)\nmy_resource_utilization(\n node_memory_MemFree_bytes,\n node_memory_MemTotal_bytes,\n {instance=~"$node:$port",job=~"$job"},\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Now the template function my_resource_utilization() may be used for monitoring arbitrary resources - memory, CPU, network, storage, you name it."})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["Let's take another nice query from ",Nt(vp,{})," dashboard:"]}),Nt(pp,{code:'(\n (\n (\n count(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n )\n )\n -\n avg(\n sum by (mode) (rate(node_cpu_seconds_total{mode=\'idle\',instance=~"$node:$port",job=~"$job"}[5m]))\n )\n )\n *\n 100\n)\n /\ncount(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Do you understand what does this mess do? 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    \n

    \n When looking to reduce the number of active series in your data source,\n you can start by inspecting individual metrics with high cardinality\n (i.e. that have lots of active time series associated with them),\n since that single metric contributes a large fraction of the series that make up your total series count.\n

    ",seriesCountByLabelName:"\n

    \n This table returns a list of the labels with the highest number of series.\n

    \n

    \n Use this table to identify labels that are storing dimensions with high cardinality\n (many different label values).\n

    \n

    \n It is recommended to choose labels such that they have a finite set of values,\n since every unique combination of key-value label pairs creates a new time series\n and therefore can dramatically increase the number of time series in your system.\n

    ",seriesCountByFocusLabelValue:"\n

    \n This table returns a list of unique label values per selected label.\n

    \n

    \n Use this table to identify label values that are storing per each selected series.\n

    ",labelValueCountByLabelName:"\n

    \n This table returns a list of labels with the highest number of the unique values.\n

    \n ",seriesCountByLabelValuePair:"\n

    \n This table returns a list of the label values pairs with the highest number of series.\n

    \n

    \n Use this table to identify unique label values pairs. This helps to identify same labels \n is applied to count timeseries in your system, since every unique combination of key-value label pairs \n creates a new time series and therefore can dramatically increase the number of time series in your system\n

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WITH expressions may improve this:"]}),Nt(pp,{code:'WITH (\n my_resource_utilization(free, limit, filters) = (limit{filters} - free{filters}) / limit{filters} * 100\n)\nmy_resource_utilization(\n node_memory_MemFree_bytes,\n node_memory_MemTotal_bytes,\n {instance=~"$node:$port",job=~"$job"},\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Now the template function my_resource_utilization() may be used for monitoring arbitrary resources - memory, CPU, network, storage, you name it."})]}),Nt("div",{className:"vm-with-template-tutorial-section",children:[Nt("p",{className:"vm-with-template-tutorial-section__text",children:["Let's take another nice query from ",Nt(vp,{})," dashboard:"]}),Nt(pp,{code:'(\n (\n (\n count(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n )\n )\n -\n avg(\n sum by (mode) (rate(node_cpu_seconds_total{mode=\'idle\',instance=~"$node:$port",job=~"$job"}[5m]))\n )\n )\n *\n 100\n)\n /\ncount(\n count(node_cpu_seconds_total{instance=~"$node:$port",job=~"$job"}) by (cpu)\n)'}),Nt("p",{className:"vm-with-template-tutorial-section__text",children:"Do you understand what does this mess do? 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See the list of issues addressed in [Go1.23.2](https://github.com/golang/go/issues?q=milestone%3AGo1.23.2+label%3ACherryPickApproved) and [Go1.23.3](https://github.com/golang/go/issues?q=milestone%3AGo1.23.3+label%3ACherryPickApproved). - * FEATURE: [vmagent](https://docs.victoriametrics.com/vmagent) added `-maxLabelsPerTimeseries` and `-maxLabelValueLen` flags, which limits amount of labels and label value length for pushed to/scraped by vmagent data. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6928). -* BUGFIX: [vmauth](https://docs.victoriametrics.com/vmauth/): fixed unauthorized routing behavior inconsistency. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7543) for details. +* BUGFIX: [vmsingle](https://docs.victoriametrics.com/single-server-victoriametrics/) changed a meaning of `-maxLabelsPerTimeseries` and `-maxLabelValueLen`. Previously excessive labels, label names and values were truncated. To prevent having corrupted data in a storage, series, which are hitting these limits will be dropped. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6928) + +## [v1.106.1](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.106.1) + +Released at 2024-11-15 + +* SECURITY: upgrade Go builder from Go1.23.1 to Go1.23.3. See the list of issues addressed in [Go1.23.2](https://github.com/golang/go/issues?q=milestone%3AGo1.23.2+label%3ACherryPickApproved) and [Go1.23.3](https://github.com/golang/go/issues?q=milestone%3AGo1.23.3+label%3ACherryPickApproved). + * BUGFIX: [vmctl](https://docs.victoriametrics.com/vmctl/): drop rows that do not belong to the current series during import. The dropped rows should belong to another series whose tags are a superset of the current series. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7301) and [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/7330). Thanks to @dpedu for reporting and cooperating with the test. * BUGFIX: [vmsingle](https://docs.victoriametrics.com/single-server-victoriametrics/), `vmselect` in [VictoriaMetrics cluster](https://docs.victoriametrics.com/cluster-victoriametrics/): keep the order of resulting time series when `limit_offset` is applied. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7068). * BUGFIX: [graphite](https://docs.victoriametrics.com/#graphite-render-api-usage): properly handle xFilesFactor=0 for `transformRemoveEmptySeries` function. See [this PR](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/7337) for details. -* BUGFIX: [vmauth](https://docs.victoriametrics.com/vmauth/): properly check availability of all the backends before giving up when proxying requests. Previously, vmauth could return an error even if there were healthy backends available. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3061) for details. +* BUGFIX: [vmauth](https://docs.victoriametrics.com/vmauth/): fixed unauthorized routing behavior inconsistency. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7543) for details. * BUGFIX: [vmauth](https://docs.victoriametrics.com/vmauth/): properly inherit [`drop_src_path_prefix_parts`](https://docs.victoriametrics.com/vmauth/#dropping-request-path-prefix), [`load_balancing_policy`](https://docs.victoriametrics.com/vmauth/#high-availability), [`retry_status_codes`](https://docs.victoriametrics.com/vmauth/#load-balancing) and [`discover_backend_ips`](https://docs.victoriametrics.com/vmauth/#discovering-backend-ips) options by `url_map` entries if `url_prefix` option isn't set at the [user config level](https://docs.victoriametrics.com/vmauth/#auth-config). These options were inherited only when the `url_prefix` option was set. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7519). +* BUGFIX: [vmauth](https://docs.victoriametrics.com/vmauth): properly check availability of all the backends before giving up when proxying requests. Previously, vmauth could return an error even if there were healthy backends available. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3061) for details. * BUGFIX: [dashboards](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/dashboards): add `file` label filter to vmalert dashboard panels. Previously, metrics from groups with the same name but different rule files could be mixed in the results. -* BUGFIX: [vmsingle](https://docs.victoriametrics.com/single-server-victoriametrics/) changed a meaning of `-maxLabelsPerTimeseries` and `-maxLabelValueLen`. Previously excessive labels, label names and values were truncated. To prevent having corrupted data in a storage series, which are hitting these limits will be dropped. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/6928) +* BUGFIX: [Single-node VictoriaMetrics](https://docs.victoriametrics.com/) and `vmstorage` in [VictoriaMetrics cluster](https://docs.victoriametrics.com/cluster-victoriametrics/): Optimize resources usage for configured [downsampling](https://docs.victoriametrics.com/#downsampling) with time-series filter. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7440) for details. +* BUGFIX: `vmstorage` in [VictoriaMetrics cluster](https://docs.victoriametrics.com/cluster-victoriametrics/): Properly return query results for search requests after index rotation. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7417) for details. +* BUGFIX: `vmselect` in [VictoriaMetrics cluster](https://docs.victoriametrics.com/cluster-victoriametrics/): Properly handle [multitenant](https://docs.victoriametrics.com/cluster-victoriametrics/#multitenancy-via-labels) query request errors and correctly perform search for available tenants. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/7549) for details. ## [v1.106.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.106.0) diff --git a/lib/storage/index_db.go b/lib/storage/index_db.go index c935e33b8..50bc3b3dd 100644 --- a/lib/storage/index_db.go +++ b/lib/storage/index_db.go @@ -91,13 +91,17 @@ type indexDB struct { // The db must be automatically recovered after that. missingMetricNamesForMetricID atomic.Uint64 - // minMissingTimestamp is the minimum timestamp, which is missing in the given indexDB. + // minMissingTimestampByKey holds the minimum timestamps by index search key, + // which is missing in the given indexDB. + // Key must be formed with marshalCommonPrefix function. // // This field is used at containsTimeRange() function only for the previous indexDB, // since this indexDB is readonly. // This field cannot be used for the current indexDB, since it may receive data // with bigger timestamps at any time. - minMissingTimestamp atomic.Int64 + minMissingTimestampByKey map[string]int64 + // protects minMissingTimestampByKey + minMissingTimestampByKeyLock sync.RWMutex // generation identifies the index generation ID // and is used for syncing items from different indexDBs @@ -162,6 +166,7 @@ func mustOpenIndexDB(path string, s *Storage, isReadOnly *atomic.Bool) *indexDB tb: tb, name: name, + minMissingTimestampByKey: make(map[string]int64), tagFiltersToMetricIDsCache: workingsetcache.New(tagFiltersCacheSize), s: s, loopsPerDateTagFilterCache: workingsetcache.New(mem / 128), @@ -1945,25 +1950,36 @@ func (is *indexSearch) containsTimeRange(tr TimeRange) bool { // This means that it may contain data for the given tr with probability close to 100%. return true } - // The db corresponds to the previous indexDB, which is readonly. // So it is safe caching the minimum timestamp, which isn't covered by the db. - minMissingTimestamp := db.minMissingTimestamp.Load() - if minMissingTimestamp != 0 && tr.MinTimestamp >= minMissingTimestamp { + + // use common prefix as a key for minMissingTimestamp + // it's needed to properly track timestamps for cluster version + // which uses tenant labels for the index search + kb := &is.kb + kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixDateToMetricID) + key := kb.B + + db.minMissingTimestampByKeyLock.RLock() + minMissingTimestamp, ok := db.minMissingTimestampByKey[string(key)] + db.minMissingTimestampByKeyLock.RUnlock() + + if ok && tr.MinTimestamp >= minMissingTimestamp { return false } - - if is.containsTimeRangeSlow(tr) { + if is.containsTimeRangeSlowForPrefixBuf(kb, tr) { return true } - db.minMissingTimestamp.CompareAndSwap(minMissingTimestamp, tr.MinTimestamp) + db.minMissingTimestampByKeyLock.Lock() + db.minMissingTimestampByKey[string(key)] = tr.MinTimestamp + db.minMissingTimestampByKeyLock.Unlock() + return false } -func (is *indexSearch) containsTimeRangeSlow(tr TimeRange) bool { +func (is *indexSearch) containsTimeRangeSlowForPrefixBuf(prefixBuf *bytesutil.ByteBuffer, tr TimeRange) bool { ts := &is.ts - kb := &is.kb // Verify whether the tr.MinTimestamp is included into `ts` or is smaller than the minimum date stored in `ts`. // Do not check whether tr.MaxTimestamp is included into `ts` or is bigger than the max date stored in `ts` for performance reasons. @@ -1972,13 +1988,12 @@ func (is *indexSearch) containsTimeRangeSlow(tr TimeRange) bool { // The main practical case allows skipping searching in prev indexdb (`ts`) when `tr` // is located above the max date stored there. minDate := uint64(tr.MinTimestamp) / msecPerDay - kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixDateToMetricID) - prefix := kb.B - kb.B = encoding.MarshalUint64(kb.B, minDate) - ts.Seek(kb.B) + prefix := prefixBuf.B + prefixBuf.B = encoding.MarshalUint64(prefixBuf.B, minDate) + ts.Seek(prefixBuf.B) if !ts.NextItem() { if err := ts.Error(); err != nil { - logger.Panicf("FATAL: error when searching for minDate=%d, prefix %q: %w", minDate, kb.B, err) + logger.Panicf("FATAL: error when searching for minDate=%d, prefix %q: %w", minDate, prefixBuf.B, err) } return false } diff --git a/lib/storage/index_db_test.go b/lib/storage/index_db_test.go index d8f7dcfd3..9aae673ce 100644 --- a/lib/storage/index_db_test.go +++ b/lib/storage/index_db_test.go @@ -2101,3 +2101,130 @@ func stopTestStorage(s *Storage) { s.tsidCache.Stop() fs.MustRemoveDirAtomic(s.cachePath) } + +func TestSearchContainsTimeRange(t *testing.T) { + path := t.Name() + os.RemoveAll(path) + s := MustOpenStorage(path, retentionMax, 0, 0) + db := s.idb() + + is := db.getIndexSearch(noDeadline) + + // Create a bunch of per-day time series + const ( + days = 6 + tenant2IngestionDay = 8 + metricsPerDay = 1000 + ) + rotationDay := time.Date(2019, time.October, 15, 5, 1, 0, 0, time.UTC) + rotationMillis := uint64(rotationDay.UnixMilli()) + rotationDate := rotationMillis / msecPerDay + var metricNameBuf []byte + perDayMetricIDs := make(map[uint64]*uint64set.Set) + labelNames := []string{ + "__name__", "constant", "day", "UniqueId", "some_unique_id", + } + + sort.Strings(labelNames) + + newMN := func(name string, day, metric int) MetricName { + var mn MetricName + mn.MetricGroup = []byte(name) + mn.AddTag( + "constant", + "const", + ) + mn.AddTag( + "day", + fmt.Sprintf("%v", day), + ) + mn.AddTag( + "UniqueId", + fmt.Sprintf("%v", metric), + ) + mn.AddTag( + "some_unique_id", + fmt.Sprintf("%v", day), + ) + mn.sortTags() + return mn + } + + // ingest metrics for tenant 0:0 + for day := 0; day < days; day++ { + date := rotationDate - uint64(day) + + var metricIDs uint64set.Set + for metric := range metricsPerDay { + mn := newMN("testMetric", day, metric) + metricNameBuf = mn.Marshal(metricNameBuf[:0]) + var genTSID generationTSID + if !is.getTSIDByMetricName(&genTSID, metricNameBuf, date) { + generateTSID(&genTSID.TSID, &mn) + createAllIndexesForMetricName(is, &mn, &genTSID.TSID, date) + } + metricIDs.Add(genTSID.TSID.MetricID) + } + + perDayMetricIDs[date] = &metricIDs + } + db.putIndexSearch(is) + + // Flush index to disk, so it becomes visible for search + s.DebugFlush() + + is2 := db.getIndexSearch(noDeadline) + + // Check that all the metrics are found for all the days. + for date := rotationDate - days + 1; date <= rotationDate; date++ { + + metricIDs, err := is2.getMetricIDsForDate(date, metricsPerDay) + if err != nil { + t.Fatalf("unexpected error: %s", err) + } + if !perDayMetricIDs[date].Equal(metricIDs) { + t.Fatalf("unexpected metricIDs found;\ngot\n%d\nwant\n%d", metricIDs.AppendTo(nil), perDayMetricIDs[date].AppendTo(nil)) + } + } + + db.putIndexSearch(is2) + + // rotate indexdb + s.mustRotateIndexDB(rotationDay) + db = s.idb() + + // perform search for 0:0 tenant + // results of previous search requests shouldn't affect it + + isExt := db.extDB.getIndexSearch(noDeadline) + // search for range that covers prev indexDB for dates before ingestion + tr := TimeRange{ + MinTimestamp: int64(rotationMillis - msecPerDay*(days)), + MaxTimestamp: int64(rotationMillis), + } + if !isExt.containsTimeRange(tr) { + t.Fatalf("expected to have given time range at prev IndexDB") + } + + // search for range not exist at prev indexDB + tr = TimeRange{ + MinTimestamp: int64(rotationMillis + msecPerDay*(days+4)), + MaxTimestamp: int64(rotationMillis + msecPerDay*(days+2)), + } + if isExt.containsTimeRange(tr) { + t.Fatalf("not expected to have given time range at prev IndexDB") + } + key := isExt.marshalCommonPrefix(nil, nsPrefixDateToMetricID) + + db.extDB.minMissingTimestampByKeyLock.Lock() + minMissingTimetamp := db.extDB.minMissingTimestampByKey[string(key)] + db.extDB.minMissingTimestampByKeyLock.Unlock() + + if minMissingTimetamp != tr.MinTimestamp { + t.Fatalf("unexpected minMissingTimestamp for 0:0 tenant got %d, want %d", minMissingTimetamp, tr.MinTimestamp) + } + + db.extDB.putIndexSearch(isExt) + s.MustClose() + fs.MustRemoveAll(path) +}