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app/vmselect/promql: add histogram_quantiles("phiLabel", phi1, ..., phiN, buckets) function

Browse source 
This function calculates multiple quantiles over the given buckets at once

Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1573
This commit is contained in:
Aliaksandr Valialkin 2021-09-17 13:31:48 +03:00
parent 8c504d6efa
commit 2951dd0a57
8 changed files with 198 additions and 113 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

41
app/vmselect/promql/exec_test.go
View file

@ -3428,6 +3428,46 @@ func TestExecSuccess(t *testing.T) {
resultExpected := []netstorage.Result{r} resultExpected := []netstorage.Result{r}
f(q, resultExpected) f(q, resultExpected)
}) })
t.Run(`histogram_quantiles()`, func(t *testing.T) {
t.Parallel()
q := `sort_by_label(histogram_quantiles("phi", 0.2, 0.3,
label_set(0, "foo", "bar", "le", "10")
or label_set(100, "foo", "bar", "le", "30")
or label_set(300, "foo", "bar", "le", "+Inf")
), "phi")`
r1 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{22, 22, 22, 22, 22, 22},
Timestamps: timestampsExpected,
}
r1.MetricName.Tags = []storage.Tag{
{
Key: []byte("foo"),
Value: []byte("bar"),
},
{
Key: []byte("phi"),
Value: []byte("0.2"),
},
}
r2 := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{28, 28, 28, 28, 28, 28},
Timestamps: timestampsExpected,
}
r2.MetricName.Tags = []storage.Tag{
{
Key: []byte("foo"),
Value: []byte("bar"),
},
{
Key: []byte("phi"),
Value: []byte("0.3"),
},
}
resultExpected := []netstorage.Result{r1, r2}
f(q, resultExpected)
})
t.Run(`histogram_share(normal-bucket-count)`, func(t *testing.T) { t.Run(`histogram_share(normal-bucket-count)`, func(t *testing.T) {
t.Parallel() t.Parallel()
q := `histogram_share(35, q := `histogram_share(35,
@ -6980,6 +7020,7 @@ func TestExecError(t *testing.T) {
f(`timestamp()`) f(`timestamp()`)
f(`vector()`) f(`vector()`)
f(`histogram_quantile()`) f(`histogram_quantile()`)
f(`histogram_quantiles()`)
f(`sum()`) f(`sum()`)
f(`count_values()`) f(`count_values()`)
f(`quantile()`) f(`quantile()`)

144
app/vmselect/promql/transform.go
View file

@ -74,59 +74,60 @@ var transformFuncs = map[string]transformFunc{
"year": newTransformFuncDateTime(transformYear), "year": newTransformFuncDateTime(transformYear),
// New funcs // New funcs
"label_set": transformLabelSet, "label_set": transformLabelSet,
"label_map": transformLabelMap, "label_map": transformLabelMap,
"label_uppercase": transformLabelUppercase, "label_uppercase": transformLabelUppercase,
"label_lowercase": transformLabelLowercase, "label_lowercase": transformLabelLowercase,
"label_del": transformLabelDel, "label_del": transformLabelDel,
"label_keep": transformLabelKeep, "label_keep": transformLabelKeep,
"label_copy": transformLabelCopy, "label_copy": transformLabelCopy,
"label_move": transformLabelMove, "label_move": transformLabelMove,
"label_transform": transformLabelTransform, "label_transform": transformLabelTransform,
"label_value": transformLabelValue, "label_value": transformLabelValue,
"label_match": transformLabelMatch, "label_match": transformLabelMatch,
"label_mismatch": transformLabelMismatch, "label_mismatch": transformLabelMismatch,
"union": transformUnion, "union": transformUnion,
"": transformUnion, // empty func is a synonym to union "": transformUnion, // empty func is a synonym to union
"keep_last_value": transformKeepLastValue, "keep_last_value": transformKeepLastValue,
"keep_next_value": transformKeepNextValue, "keep_next_value": transformKeepNextValue,
"interpolate": transformInterpolate, "interpolate": transformInterpolate,
"start": newTransformFuncZeroArgs(transformStart), "start": newTransformFuncZeroArgs(transformStart),
"end": newTransformFuncZeroArgs(transformEnd), "end": newTransformFuncZeroArgs(transformEnd),
"step": newTransformFuncZeroArgs(transformStep), "step": newTransformFuncZeroArgs(transformStep),
"running_sum": newTransformFuncRunning(runningSum), "running_sum": newTransformFuncRunning(runningSum),
"running_max": newTransformFuncRunning(runningMax), "running_max": newTransformFuncRunning(runningMax),
"running_min": newTransformFuncRunning(runningMin), "running_min": newTransformFuncRunning(runningMin),
"running_avg": newTransformFuncRunning(runningAvg), "running_avg": newTransformFuncRunning(runningAvg),
"range_sum": newTransformFuncRange(runningSum), "range_sum": newTransformFuncRange(runningSum),
"range_max": newTransformFuncRange(runningMax), "range_max": newTransformFuncRange(runningMax),
"range_min": newTransformFuncRange(runningMin), "range_min": newTransformFuncRange(runningMin),
"range_avg": newTransformFuncRange(runningAvg), "range_avg": newTransformFuncRange(runningAvg),
"range_first": transformRangeFirst, "range_first": transformRangeFirst,
"range_last": transformRangeLast, "range_last": transformRangeLast,
"range_quantile": transformRangeQuantile, "range_quantile": transformRangeQuantile,
"smooth_exponential": transformSmoothExponential, "smooth_exponential": transformSmoothExponential,
"remove_resets": transformRemoveResets, "remove_resets": transformRemoveResets,
"rand": newTransformRand(newRandFloat64), "rand": newTransformRand(newRandFloat64),
"rand_normal": newTransformRand(newRandNormFloat64), "rand_normal": newTransformRand(newRandNormFloat64),
"rand_exponential": newTransformRand(newRandExpFloat64), "rand_exponential": newTransformRand(newRandExpFloat64),
"pi": transformPi, "pi": transformPi,
"sin": newTransformFuncOneArg(transformSin), "sin": newTransformFuncOneArg(transformSin),
"cos": newTransformFuncOneArg(transformCos), "cos": newTransformFuncOneArg(transformCos),
"asin": newTransformFuncOneArg(transformAsin), "asin": newTransformFuncOneArg(transformAsin),
"acos": newTransformFuncOneArg(transformAcos), "acos": newTransformFuncOneArg(transformAcos),
"prometheus_buckets": transformPrometheusBuckets, "prometheus_buckets": transformPrometheusBuckets,
"buckets_limit": transformBucketsLimit, "buckets_limit": transformBucketsLimit,
"histogram_share": transformHistogramShare, "histogram_share": transformHistogramShare,
"histogram_avg": transformHistogramAvg, "histogram_avg": transformHistogramAvg,
"histogram_stdvar": transformHistogramStdvar, "histogram_stdvar": transformHistogramStdvar,
"histogram_stddev": transformHistogramStddev, "histogram_stddev": transformHistogramStddev,
"sort_by_label": newTransformFuncSortByLabel(false), "sort_by_label": newTransformFuncSortByLabel(false),
"sort_by_label_desc": newTransformFuncSortByLabel(true), "sort_by_label_desc": newTransformFuncSortByLabel(true),
"timezone_offset": transformTimezoneOffset, "timezone_offset": transformTimezoneOffset,
"bitmap_and": newTransformBitmap(bitmapAnd), "bitmap_and": newTransformBitmap(bitmapAnd),
"bitmap_or": newTransformBitmap(bitmapOr), "bitmap_or": newTransformBitmap(bitmapOr),
"bitmap_xor": newTransformBitmap(bitmapXor), "bitmap_xor": newTransformBitmap(bitmapXor),
"histogram_quantiles": transformHistogramQuantiles,
} }
func getTransformFunc(s string) transformFunc { func getTransformFunc(s string) transformFunc {
@ -789,6 +790,43 @@ func stdvarForLeTimeseries(i int, xss []leTimeseries) float64 {
return stdvar return stdvar
} }
func transformHistogramQuantiles(tfa *transformFuncArg) ([]*timeseries, error) {
args := tfa.args
if len(args) < 3 {
return nil, fmt.Errorf("unexpected number of args: %d; expecting at least 3 args", len(args))
}
dstLabel, err := getString(args[0], 0)
if err != nil {
return nil, fmt.Errorf("cannot obtain dstLabel: %w", err)
}
phiArgs := args[1 : len(args)-1]
tssOrig := args[len(args)-1]
// Calculate quantile individually per each phi.
var rvs []*timeseries
for _, phiArg := range phiArgs {
phiStr := fmt.Sprintf("%g", phiArg[0].Values[0])
tss := copyTimeseries(tssOrig)
tfaTmp := &transformFuncArg{
ec: tfa.ec,
fe: tfa.fe,
args: [][]*timeseries{
phiArg,
tss,
},
}
tssTmp, err := transformHistogramQuantile(tfaTmp)
if err != nil {
return nil, fmt.Errorf("cannot calculate quantile %s: %w", phiStr, err)
}
for _, ts := range tssTmp {
ts.MetricName.RemoveTag(dstLabel)
ts.MetricName.AddTag(dstLabel, phiStr)
}
rvs = append(rvs, tssTmp...)
}
return rvs, nil
}
func transformHistogramQuantile(tfa *transformFuncArg) ([]*timeseries, error) { func transformHistogramQuantile(tfa *transformFuncArg) ([]*timeseries, error) {
args := tfa.args args := tfa.args
if len(args) < 2 || len(args) > 3 { if len(args) < 2 || len(args) > 3 {

3
docs/CHANGELOG.md
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@ -26,6 +26,7 @@ sort: 15
* FEATURE: vminsert: automatically add missing port to `-storageNode` hostnames. For example, `-storageNode=vmstorage1,vmstorage2` is automatically translated to `-storageNode=vmstorage1:8400,vmstorage2:8400`. This simplifies [manual setup of VictoriaMetrics cluster](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#cluster-setup). * FEATURE: vminsert: automatically add missing port to `-storageNode` hostnames. For example, `-storageNode=vmstorage1,vmstorage2` is automatically translated to `-storageNode=vmstorage1:8400,vmstorage2:8400`. This simplifies [manual setup of VictoriaMetrics cluster](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#cluster-setup).
* FEATURE: add [mad(q)](https://docs.victoriametrics.com/MetricsQL.html#mad) function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html). It calculates [Median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation) for groups of points with identical timestamps across multiple time series. * FEATURE: add [mad(q)](https://docs.victoriametrics.com/MetricsQL.html#mad) function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html). It calculates [Median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation) for groups of points with identical timestamps across multiple time series.
* FEATURE: add [outliers_mad(tolerance, q)](https://docs.victoriametrics.com/MetricsQL.html#outliers_mad) function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html). It returns time series with peaks outside the [Median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation) multiplied by `tolerance`. * FEATURE: add [outliers_mad(tolerance, q)](https://docs.victoriametrics.com/MetricsQL.html#outliers_mad) function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html). It returns time series with peaks outside the [Median absolute deviation](https://en.wikipedia.org/wiki/Median_absolute_deviation) multiplied by `tolerance`.
* FEATURE: add `histogram_quantiles("phiLabel", phi1, ..., phiN, buckets)` function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html). It calculates the given `phi*`-quantiles over the given `buckets` and returns time series per each quantile with the corresponding `{phiLabel="phi*"}` label.
* FEATURE: [enterprise](https://victoriametrics.com/enterprise.html): do not ask for `-eula` flag if `-version` flag is passed to enteprise app. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1621). * FEATURE: [enterprise](https://victoriametrics.com/enterprise.html): do not ask for `-eula` flag if `-version` flag is passed to enteprise app. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1621).
* BUGFIX: properly handle queries with multiple filters matching empty labels such as `metric{label1=~"foo|",label2="bar|"}`. This filter must match the following series: `metric`, `metric{label1="foo"}`, `metric{label2="bar"}` and `metric{label1="foo",label2="bar"}`. Previously it was matching only `metric{label1="foo",label2="bar"}`. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1601). * BUGFIX: properly handle queries with multiple filters matching empty labels such as `metric{label1=~"foo|",label2="bar|"}`. This filter must match the following series: `metric`, `metric{label1="foo"}`, `metric{label2="bar"}` and `metric{label1="foo",label2="bar"}`. Previously it was matching only `metric{label1="foo",label2="bar"}`. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1601).
@ -50,7 +51,7 @@ sort: 15
* FEATURE: update Go builder from v1.16.7 to v1.17.0. This improves data ingestion and query performance by up to 5% according to benchmarks. See [the release post for Go1.17](https://go.dev/blog/go1.17). * FEATURE: update Go builder from v1.16.7 to v1.17.0. This improves data ingestion and query performance by up to 5% according to benchmarks. See [the release post for Go1.17](https://go.dev/blog/go1.17).
* FEATURE: vmagent: expose `promscrape_discovery_http_errors_total` metric, which can be used for monitoring the number of failed discovery attempts per each `http_sd` config. * FEATURE: vmagent: expose `promscrape_discovery_http_errors_total` metric, which can be used for monitoring the number of failed discovery attempts per each `http_sd` config.
* FEATURE: do not reset response cache when a sample with old timestamp is ingested into VictoriaMetrics if `-search.disableAutoCacheReset` command-line option is set. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1570). * FEATURE: do not reset response cache when a sample with old timestamp is ingested into VictoriaMetrics if `-search.disableAutoCacheReset` command-line option is set. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1570).
* FEATURE: add `quantiles("quantileLabel", phi1, ..., phiN, q)` aggregate function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html), which calculates the given `phi*` quantiles over time series returned by `q`. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1573). * FEATURE: add `quantiles("phiLabel", phi1, ..., phiN, q)` aggregate function to [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html), which calculates the given `phi*` quantiles over time series returned by `q`. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1573).
* BUGFIX: rename `sign` function to `sgn` in order to be consistent with PromQL. See [this pull request from Prometheus](https://github.com/prometheus/prometheus/pull/8457). * BUGFIX: rename `sign` function to `sgn` in order to be consistent with PromQL. See [this pull request from Prometheus](https://github.com/prometheus/prometheus/pull/8457).
* BUGFIX: vmagent: add `role: endpointslice` in [kubernetes_sd_config](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#kubernetes_sd_config) in order to be consistent with Prometheus. Previously this role was supported with incorrect name: `role: endpointslices`. Now both `endpointslice` and `endpointslices` are supported. See [the corresponding code in Prometheus](https://github.com/prometheus/prometheus/blob/2ec6c7dbb82b72834021e01f1773eb90a67a371f/discovery/kubernetes/kubernetes.go#L99). * BUGFIX: vmagent: add `role: endpointslice` in [kubernetes_sd_config](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#kubernetes_sd_config) in order to be consistent with Prometheus. Previously this role was supported with incorrect name: `role: endpointslices`. Now both `endpointslice` and `endpointslices` are supported. See [the corresponding code in Prometheus](https://github.com/prometheus/prometheus/blob/2ec6c7dbb82b72834021e01f1773eb90a67a371f/discovery/kubernetes/kubernetes.go#L99).

8
docs/MetricsQL.md
View file

@ -413,7 +413,11 @@ See also [implicit query conversions](#implicit-query-conversions).
#### histogram_quantile #### histogram_quantile
`histogram_quantile(phi, buckets)` calculates `phi`-quantile over the given [histogram buckets](https://valyala.medium.com/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350). For example, `histogram_quantile(0.5, sum(rate(http_request_duration_seconds_bucket[5m]) by (le))` would return median request duration for all the requests during the last 5 minutes. It accepts optional third arg - `boundsLabel`. In this case it returns `lower` and `upper` bounds for the estimated percentile. See [this issue for details](https://github.com/prometheus/prometheus/issues/5706). This function is supported by PromQL (except of the `boundLabel` arg). See also [histogram_share](#histogram_share). `histogram_quantile(phi, buckets)` calculates `phi`-quantile over the given [histogram buckets](https://valyala.medium.com/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350). For example, `histogram_quantile(0.5, sum(rate(http_request_duration_seconds_bucket[5m]) by (le))` would return median request duration for all the requests during the last 5 minutes. It accepts optional third arg - `boundsLabel`. In this case it returns `lower` and `upper` bounds for the estimated percentile. See [this issue for details](https://github.com/prometheus/prometheus/issues/5706). This function is supported by PromQL (except of the `boundLabel` arg). See also [histogram_quantiles](#histogram_quantiles) and [histogram_share](#histogram_share).
#### histogram_quantiles
`histogram_quantiles("phiLabel", phi1, ..., phiN, buckets)` calculates the given `phi*`-quantiles over the given [histogram buckets](https://valyala.medium.com/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350). Each calculated quantile is returned in a separate time series with the corresponding `{phiLabel="phi*"}` label. See also [histogram_quantile](#histogram_quantile).
#### histogram_share #### histogram_share
@ -782,7 +786,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### quantiles #### quantiles
`quantiles("quantileLabel", phi1, ..., phiN, q)` calculates `phi*`-quantiles for all the time series returned by `q` and return them in time series with `{quantileLabel="phi*"}` label. The aggregate is calculated individually per each group of points with the same timestamp. See also [quantile](#quantile). `quantiles("phiLabel", phi1, ..., phiN, q)` calculates `phi*`-quantiles for all the time series returned by `q` and return them in time series with `{phiLabel="phi*"}` label. The aggregate is calculated individually per each group of points with the same timestamp. See also [quantile](#quantile).
#### stddev #### stddev

2
go.mod
View file

@ -9,7 +9,7 @@ require (
// like https://github.com/valyala/fasthttp/commit/996610f021ff45fdc98c2ce7884d5fa4e7f9199b // like https://github.com/valyala/fasthttp/commit/996610f021ff45fdc98c2ce7884d5fa4e7f9199b
github.com/VictoriaMetrics/fasthttp v1.1.0 github.com/VictoriaMetrics/fasthttp v1.1.0
github.com/VictoriaMetrics/metrics v1.18.0 github.com/VictoriaMetrics/metrics v1.18.0
github.com/VictoriaMetrics/metricsql v0.22.0 github.com/VictoriaMetrics/metricsql v0.23.0
github.com/VividCortex/ewma v1.2.0 // indirect github.com/VividCortex/ewma v1.2.0 // indirect
github.com/aws/aws-sdk-go v1.40.43 github.com/aws/aws-sdk-go v1.40.43
github.com/cespare/xxhash/v2 v2.1.2 github.com/cespare/xxhash/v2 v2.1.2

4
go.sum
View file

@ -109,8 +109,8 @@ github.com/VictoriaMetrics/fasthttp v1.1.0/go.mod h1:/7DMcogqd+aaD3G3Hg5kFgoFwlR
github.com/VictoriaMetrics/metrics v1.12.2/go.mod h1:Z1tSfPfngDn12bTfZSCqArT3OPY3u88J12hSoOhuiRE= github.com/VictoriaMetrics/metrics v1.12.2/go.mod h1:Z1tSfPfngDn12bTfZSCqArT3OPY3u88J12hSoOhuiRE=
github.com/VictoriaMetrics/metrics v1.18.0 h1:vov5NxDHRSXFbdiH4dYLYEjKLoAXXSQ7hcnG8TSD9JQ= github.com/VictoriaMetrics/metrics v1.18.0 h1:vov5NxDHRSXFbdiH4dYLYEjKLoAXXSQ7hcnG8TSD9JQ=
github.com/VictoriaMetrics/metrics v1.18.0/go.mod h1:ArjwVz7WpgpegX/JpB0zpNF2h2232kErkEnzH1sxMmA= github.com/VictoriaMetrics/metrics v1.18.0/go.mod h1:ArjwVz7WpgpegX/JpB0zpNF2h2232kErkEnzH1sxMmA=
github.com/VictoriaMetrics/metricsql v0.22.0 h1:QWXvNfaFGeEQvh7Cjjpfp/7Un1N+W+ODQOiM+numyN0= github.com/VictoriaMetrics/metricsql v0.23.0 h1:NWqoCrL2kz864OlaDBEU7c2fA7AjKfFq/nXM6di4xz8=
github.com/VictoriaMetrics/metricsql v0.22.0/go.mod h1:ylO7YITho/Iw6P71oEaGyHbO94bGoGtzWfLGqFhMIg8= github.com/VictoriaMetrics/metricsql v0.23.0/go.mod h1:ylO7YITho/Iw6P71oEaGyHbO94bGoGtzWfLGqFhMIg8=
github.com/VividCortex/ewma v1.1.1/go.mod h1:2Tkkvm3sRDVXaiyucHiACn4cqf7DpdyLvmxzcbUokwA= github.com/VividCortex/ewma v1.1.1/go.mod h1:2Tkkvm3sRDVXaiyucHiACn4cqf7DpdyLvmxzcbUokwA=
github.com/VividCortex/ewma v1.2.0 h1:f58SaIzcDXrSy3kWaHNvuJgJ3Nmz59Zji6XoJR/q1ow= github.com/VividCortex/ewma v1.2.0 h1:f58SaIzcDXrSy3kWaHNvuJgJ3Nmz59Zji6XoJR/q1ow=
github.com/VividCortex/ewma v1.2.0/go.mod h1:nz4BbCtbLyFDeC9SUHbtcT5644juEuWfUAUnGx7j5l4= github.com/VividCortex/ewma v1.2.0/go.mod h1:nz4BbCtbLyFDeC9SUHbtcT5644juEuWfUAUnGx7j5l4=

107
vendor/github.com/VictoriaMetrics/metricsql/transform.go generated vendored
View file

@ -39,59 +39,60 @@ var transformFuncs = map[string]bool{
"year": true, "year": true,
// New funcs from MetricsQL // New funcs from MetricsQL
"label_set": true, "label_set": true,
"label_map": true, "label_map": true,
"label_uppercase": true, "label_uppercase": true,
"label_lowercase": true, "label_lowercase": true,
"label_del": true, "label_del": true,
"label_keep": true, "label_keep": true,
"label_copy": true, "label_copy": true,
"label_move": true, "label_move": true,
"label_transform": true, "label_transform": true,
"label_value": true, "label_value": true,
"label_match": true, "label_match": true,
"label_mismatch": true, "label_mismatch": true,
"union": true, "union": true,
"": true, // empty func is a synonym to union "": true, // empty func is a synonym to union
"keep_last_value": true, "keep_last_value": true,
"keep_next_value": true, "keep_next_value": true,
"interpolate": true, "interpolate": true,
"start": true, "start": true,
"end": true, "end": true,
"step": true, "step": true,
"running_sum": true, "running_sum": true,
"running_max": true, "running_max": true,
"running_min": true, "running_min": true,
"running_avg": true, "running_avg": true,
"range_sum": true, "range_sum": true,
"range_max": true, "range_max": true,
"range_min": true, "range_min": true,
"range_avg": true, "range_avg": true,
"range_first": true, "range_first": true,
"range_last": true, "range_last": true,
"range_quantile": true, "range_quantile": true,
"smooth_exponential": true, "smooth_exponential": true,
"remove_resets": true, "remove_resets": true,
"rand": true, "rand": true,
"rand_normal": true, "rand_normal": true,
"rand_exponential": true, "rand_exponential": true,
"pi": true, "pi": true,
"sin": true, "sin": true,
"cos": true, "cos": true,
"asin": true, "asin": true,
"acos": true, "acos": true,
"prometheus_buckets": true, "prometheus_buckets": true,
"buckets_limit": true, "buckets_limit": true,
"histogram_share": true, "histogram_share": true,
"histogram_avg": true, "histogram_avg": true,
"histogram_stdvar": true, "histogram_stdvar": true,
"histogram_stddev": true, "histogram_stddev": true,
"sort_by_label": true, "sort_by_label": true,
"sort_by_label_desc": true, "sort_by_label_desc": true,
"timezone_offset": true, "timezone_offset": true,
"bitmap_and": true, "bitmap_and": true,
"bitmap_or": true, "bitmap_or": true,
"bitmap_xor": true, "bitmap_xor": true,
"histogram_quantiles": true,
} }
// IsTransformFunc returns whether funcName is known transform function. // IsTransformFunc returns whether funcName is known transform function.

2
vendor/modules.txt vendored
View file

@ -22,7 +22,7 @@ github.com/VictoriaMetrics/fasthttp/stackless
# github.com/VictoriaMetrics/metrics v1.18.0 # github.com/VictoriaMetrics/metrics v1.18.0
## explicit ## explicit
github.com/VictoriaMetrics/metrics github.com/VictoriaMetrics/metrics
# github.com/VictoriaMetrics/metricsql v0.22.0 # github.com/VictoriaMetrics/metricsql v0.23.0
## explicit ## explicit
github.com/VictoriaMetrics/metricsql github.com/VictoriaMetrics/metricsql
github.com/VictoriaMetrics/metricsql/binaryop github.com/VictoriaMetrics/metricsql/binaryop