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vmselect/promql: fix panic in histogram_quantiles function (#3029)

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* vmselect/promql: fix panic in histogram_quantiles function

* Update docs/MetricsQL.md

Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>

Co-authored-by: Aliaksandr Valialkin <valyala@victoriametrics.com>
Co-authored-by: Roman Khavronenko <roman@victoriametrics.com>
This commit is contained in:
Dmytro Kozlov 2022-08-27 01:33:56 +03:00 committed by Aliaksandr Valialkin
parent 04761419ba
commit 2cf29cc4d1
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GPG key ID: A72BEC6CD3D0DED1
4 changed files with 6 additions and 1 deletions
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1
app/vmselect/promql/exec_test.go
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@ -7946,6 +7946,7 @@ func TestExecError(t *testing.T) {
f(`limit_offet(1, (alias(1,"foo"),alias(2,"bar")), 10)`)
f(`round(1, 1 or label_set(2, "xx", "foo"))`)
f(`histogram_quantile(1 or label_set(2, "xx", "foo"), 1)`)
f(`histogram_quantiles("le", 1 or label_set(2, "xx", "foo"))`)
f(`label_set(1, 2, 3)`)
f(`label_set(1, "foo", (label_set(1, "foo", bar") or label_set(2, "xxx", "yy")))`)
f(`label_set(1, "foo", 3)`)

3
app/vmselect/promql/transform.go
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@ -826,6 +826,9 @@ func transformHistogramQuantiles(tfa *transformFuncArg) ([]*timeseries, error) {
// Calculate quantile individually per each phi.
var rvs []*timeseries
for _, phiArg := range phiArgs {
if len(phiArg) == 0 || (phiArg[0].Values[0] < 0 || phiArg[0].Values[0] > 1) {
return nil, fmt.Errorf("got unexpected phi arg. it should containes only numbers from range [0..1]")
}
phiStr := fmt.Sprintf("%g", phiArg[0].Values[0])
tss := copyTimeseries(tssOrig)
tfaTmp := &transformFuncArg{

1
docs/CHANGELOG.md
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@ -44,6 +44,7 @@ The following tip changes can be tested by building VictoriaMetrics components f
* BUGFIX: prevent from excess CPU usage when the storage enters [read-only mode](https://docs.victoriametrics.com/Cluster-VictoriaMetrics.html#readonly-mode).
* BUGFIX: improve performance for requests to [/api/v1/labels](https://docs.victoriametrics.com/url-examples.html#apiv1labels) and [/api/v1/label/.../values](https://docs.victoriametrics.com/url-examples.html#apiv1labelvalues) when the filter in the `match[]` query arg matches small number of time series. The performance for this case has been reduced in [v1.78.0](https://docs.victoriametrics.com/CHANGELOG.html#v1780). See [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2978) and [this](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1533) issues.
* BUGFIX: increase the default limit on the number of concurrent merges for small parts from 8 to 16. This should help resolving potential issues with heavy data ingestion. See [this comment](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/2673#issuecomment-1218185978) from @lukepalmer .
* BUGFIX: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): fix panic when user defines wrong param in `histogram_quantiles` function. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3026).
## [v1.80.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v1.80.0)

2
docs/MetricsQL.md
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@ -491,7 +491,7 @@ The list of supported transform functions:
#### 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). `phi*` must be in the range `[0...1]`. Each calculated quantile is returned in a separate time series with the corresponding `{phiLabel="phi*"}` label. See also [histogram_quantile](#histogram_quantile).
`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). Argument `phi*` must be in the range `[0...1]`. For example, `histogram_quantiles('le', 0.3, 0.5, sum(rate(http_request_duration_seconds_bucket[5m]) by (le))`. Each calculated quantile is returned in a separate time series with the corresponding `{phiLabel="phi*"}` label. See also [histogram_quantile](#histogram_quantile).
#### histogram_share