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app/vmselect/promql: add tlast_change_over_time(m[d]) function, which returns the timestamp for the last change of m on the given lookbehind window d

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Aliaksandr Valialkin 2022-04-27 10:57:49 +03:00
parent c7693e8bc1
commit cce1b6d7f9
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9 changed files with 168 additions and 100 deletions
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34
app/vmselect/promql/exec_test.go
View file

@ -605,6 +605,40 @@ func TestExecSuccess(t *testing.T) {
resultExpected := []netstorage.Result{r} resultExpected := []netstorage.Result{r}
f(q, resultExpected) f(q, resultExpected)
}) })
t.Run("tlast_change_over_time(hit_last)", func(t *testing.T) {
t.Parallel()
q := `tlast_change_over_time(
time()[1h]
)`
r := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{1000, 1200, 1400, 1600, 1800, 2000},
Timestamps: timestampsExpected,
}
resultExpected := []netstorage.Result{r}
f(q, resultExpected)
})
t.Run("tlast_change_over_time(hit_middle)", func(t *testing.T) {
t.Parallel()
q := `tlast_change_over_time(
(time() >=bool 1600)[1h]
)`
r := netstorage.Result{
MetricName: metricNameExpected,
Values: []float64{nan, nan, nan, 1600, 1600, 1600},
Timestamps: timestampsExpected,
}
resultExpected := []netstorage.Result{r}
f(q, resultExpected)
})
t.Run("tlast_change_over_time(miss)", func(t *testing.T) {
t.Parallel()
q := `tlast_change_over_time(
1[1h]
)`
resultExpected := []netstorage.Result{}
f(q, resultExpected)
})
t.Run("timestamp_with_name(alias(time()>=1600))", func(t *testing.T) { t.Run("timestamp_with_name(alias(time()>=1600))", func(t *testing.T) {
t.Parallel() t.Parallel()
q := `timestamp_with_name(alias(time()>=1600,"foo"))` q := `timestamp_with_name(alias(time()>=1600,"foo"))`

23
app/vmselect/promql/rollup.go
View file

@ -88,6 +88,7 @@ var rollupFuncs = map[string]newRollupFunc{
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/415 for details. // See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/415 for details.
"timestamp": newRollupFuncOneArg(rollupTlast), "timestamp": newRollupFuncOneArg(rollupTlast),
"timestamp_with_name": newRollupFuncOneArg(rollupTlast), // + rollupFuncsKeepMetricName "timestamp_with_name": newRollupFuncOneArg(rollupTlast), // + rollupFuncsKeepMetricName
"tlast_change_over_time": newRollupFuncOneArg(rollupTlastChange),
"tlast_over_time": newRollupFuncOneArg(rollupTlast), "tlast_over_time": newRollupFuncOneArg(rollupTlast),
"tmax_over_time": newRollupFuncOneArg(rollupTmax), "tmax_over_time": newRollupFuncOneArg(rollupTmax),
"tmin_over_time": newRollupFuncOneArg(rollupTmin), "tmin_over_time": newRollupFuncOneArg(rollupTmin),
@ -137,6 +138,7 @@ var rollupAggrFuncs = map[string]rollupFunc{
"tfirst_over_time": rollupTfirst, "tfirst_over_time": rollupTfirst,
"timestamp": rollupTlast, "timestamp": rollupTlast,
"timestamp_with_name": rollupTlast, "timestamp_with_name": rollupTlast,
"tlast_change_over_time": rollupTlastChange,
"tlast_over_time": rollupTlast, "tlast_over_time": rollupTlast,
"tmax_over_time": rollupTmax, "tmax_over_time": rollupTmax,
"tmin_over_time": rollupTmin, "tmin_over_time": rollupTmin,
@ -1276,6 +1278,27 @@ func rollupTlast(rfa *rollupFuncArg) float64 {
return float64(timestamps[len(timestamps)-1]) / 1e3 return float64(timestamps[len(timestamps)-1]) / 1e3
} }
func rollupTlastChange(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleaned up
// before calling rollup funcs.
values := rfa.values
if len(values) == 0 {
return nan
}
timestamps := rfa.timestamps
lastValue := values[len(values)-1]
values = values[:len(values)-1]
for i := len(values) - 1; i >= 0; i-- {
if values[i] != lastValue {
return float64(timestamps[i+1]) / 1e3
}
}
if math.IsNaN(rfa.prevValue) || rfa.prevValue != lastValue {
return float64(timestamps[0]) / 1e3
}
return nan
}
func rollupSum(rfa *rollupFuncArg) float64 { func rollupSum(rfa *rollupFuncArg) float64 {
// There is no need in handling NaNs here, since they must be cleaned up // There is no need in handling NaNs here, since they must be cleaned up
// before calling rollup funcs. // before calling rollup funcs.

1
app/vmselect/promql/rollup_test.go
View file

@ -508,6 +508,7 @@ func TestRollupNewRollupFuncSuccess(t *testing.T) {
f("tmin_over_time", 0.08) f("tmin_over_time", 0.08)
f("tmax_over_time", 0.005) f("tmax_over_time", 0.005)
f("tfirst_over_time", 0.005) f("tfirst_over_time", 0.005)
f("tlast_change_over_time", 0.12)
f("tlast_over_time", 0.13) f("tlast_over_time", 0.13)
f("sum_over_time", 565) f("sum_over_time", 565)
f("sum2_over_time", 37951) f("sum2_over_time", 37951)

1
docs/CHANGELOG.md
View file

@ -28,6 +28,7 @@ The following tip changes can be tested by building VictoriaMetrics components f
* FEATURE: [vmui](https://docs.victoriametrics.com/#vmui): show the selected `last N minutes/hours/days` in the top right corner. Previously the `start - end` duration was shown instead, which could be hard to interpret. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2402). * FEATURE: [vmui](https://docs.victoriametrics.com/#vmui): show the selected `last N minutes/hours/days` in the top right corner. Previously the `start - end` duration was shown instead, which could be hard to interpret. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2402).
* FEATURE: expose `vm_indexdb_items_added_total` and `vm_indexdb_items_added_size_bytes_total` counters at `/metrics` page, which can be used for monitoring the rate for addition of new entries in `indexdb` (aka `inverted index`) alongside the total size in bytes for the added entries. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2471). * FEATURE: expose `vm_indexdb_items_added_total` and `vm_indexdb_items_added_size_bytes_total` counters at `/metrics` page, which can be used for monitoring the rate for addition of new entries in `indexdb` (aka `inverted index`) alongside the total size in bytes for the added entries. See [this feature request](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2471).
* FEATURE: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): add `drop_common_labels()` function, which drops common `label="name"` pairs from the passed time series. See [these docs](https://docs.victoriametrics.com/MetricsQL.html#drop_common_labels). * FEATURE: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): add `drop_common_labels()` function, which drops common `label="name"` pairs from the passed time series. See [these docs](https://docs.victoriametrics.com/MetricsQL.html#drop_common_labels).
* FEATURE: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): add `tlast_change_over_time(m[d])` function, which returns the timestamp of the last change of `m` on the given lookbehind window `d`. See [these docs](https://docs.victoriametrics.com/MetricsQL.html#tlast_change_over_time).
* BUGFIX: [vmctl](https://docs.victoriametrics.com/vmctl.html): return non-zero exit code on error. This allows handling `vmctl` errors in shell scripts. Previously `vmctl` was returning 0 exit code on error. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2322). * BUGFIX: [vmctl](https://docs.victoriametrics.com/vmctl.html): return non-zero exit code on error. This allows handling `vmctl` errors in shell scripts. Previously `vmctl` was returning 0 exit code on error. See [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2322).
* BUGFIX: [vmagent](https://docs.victoriametrics.com/vmagent.html): properly show `scrape_timeout` and `scrape_interval` options at `http://vmagent:8429/config` page. Previously these options weren't displayed even if they were set in `-promscrape.config`. * BUGFIX: [vmagent](https://docs.victoriametrics.com/vmagent.html): properly show `scrape_timeout` and `scrape_interval` options at `http://vmagent:8429/config` page. Previously these options weren't displayed even if they were set in `-promscrape.config`.

176
docs/MetricsQL.md
View file

@ -50,7 +50,11 @@ This functionality can be evaluated at [an editable Grafana dashboard](https://p
* `ifnot` binary operator. `q1 ifnot q2` removes values from `q1` for existing values from `q2`. * `ifnot` binary operator. `q1 ifnot q2` removes values from `q1` for existing values from `q2`.
* String literals may be concatenated. This is useful with `WITH` templates: `WITH (commonPrefix="long_metric_prefix_") {__name__=commonPrefix+"suffix1"} / {__name__=commonPrefix+"suffix2"}`. * String literals may be concatenated. This is useful with `WITH` templates: `WITH (commonPrefix="long_metric_prefix_") {__name__=commonPrefix+"suffix1"} / {__name__=commonPrefix+"suffix2"}`.
* `WITH` templates. This feature simplifies writing and managing complex queries. Go to [WITH templates playground](https://play.victoriametrics.com/promql/expand-with-exprs) and try it. * `WITH` templates. This feature simplifies writing and managing complex queries. Go to [WITH templates playground](https://play.victoriametrics.com/promql/expand-with-exprs) and try it.
* `keep_metric_names` modifier can be applied to all the [rollup functions](#rollup-functions) and [transform functions](#transform-functions). This modifier prevents from dropping metric names in function results. For example, `rate({__name__=~"foo|bar"}[5m]) keep_metric_names` leaves `foo` and `bar` metric names in the resulting time series. * `keep_metric_names` modifier can be applied to all the [rollup functions](#rollup-functions) and [transform functions](#transform-functions). This modifier prevents from dropping metric names in function results. See [these docs](#keep_metric_names).
## keep_metric_names
By default metric names are dropped after applying functions, which change the meaning of the original time series. This may result in `duplicate time series` error when the function is applied time series with multiple names. This error can be fixed by applying `keep_metric_names` modifier to the function. For example, `rate({__name__=~"foo|bar"}) keep_metric_names` leaves `foo` and `bar` metric names in the returned time series.
## MetricsQL functions ## MetricsQL functions
@ -72,7 +76,7 @@ MetricsQL provides the following functions:
* If lookbehind window in square brackets is missing, then MetricsQL automatically sets the lookbehind window to the interval between points on the graph (aka `step` query arg at [/api/v1/query_range](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries), `$__interval` value from Grafana or `1i` duration in MetricsQL). For example, `rate(http_requests_total)` is equivalent to `rate(http_requests_total[$__interval])` in Grafana. It is also equivalent to `rate(http_requests_total[1i])`. * If lookbehind window in square brackets is missing, then MetricsQL automatically sets the lookbehind window to the interval between points on the graph (aka `step` query arg at [/api/v1/query_range](https://prometheus.io/docs/prometheus/latest/querying/api/#range-queries), `$__interval` value from Grafana or `1i` duration in MetricsQL). For example, `rate(http_requests_total)` is equivalent to `rate(http_requests_total[$__interval])` in Grafana. It is also equivalent to `rate(http_requests_total[1i])`.
* Every [series selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors) in MetricsQL must be wrapped into a rollup function. Otherwise it is automatically wrapped into [default_rollup](#default_rollup). For example, `foo{bar="baz"}` is automatically converted to `default_rollup(foo{bar="baz"}[1i])` before performing the calculations. * Every [series selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors) in MetricsQL must be wrapped into a rollup function. Otherwise it is automatically wrapped into [default_rollup](#default_rollup). For example, `foo{bar="baz"}` is automatically converted to `default_rollup(foo{bar="baz"}[1i])` before performing the calculations.
* If something other than [series selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors) is passed to rollup function, then the inner arg is automatically converted to a [subquery](#subqueries). * If something other than [series selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors) is passed to rollup function, then the inner arg is automatically converted to a [subquery](#subqueries).
* All the rollup functions accept optional `keep_metric_names` modifier. If it is set, then the function keeps metric names in results. For example, `rate({__name__=~"foo|bar}[5m]) keep_metric_names` leaves `foo` and `bar` metric names in results. * All the rollup functions accept optional `keep_metric_names` modifier. If it is set, then the function keeps metric names in results. See [these docs](#keep_metric_names).
See also [implicit query conversions](#implicit-query-conversions). See also [implicit query conversions](#implicit-query-conversions).
@ -86,7 +90,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### ascent_over_time #### ascent_over_time
`ascent_over_time(series_selector[d])` calculates ascent of raw sample values on the given lookbehind window `d`. The calculations are performed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Useful for tracking height gains in GPS tracking. Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [descent_over_time](#descent_over_time). `ascent_over_time(series_selector[d])` calculates ascent of raw sample values on the given lookbehind window `d`. The calculations are performed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Useful for tracking height gains in GPS tracking. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [descent_over_time](#descent_over_time).
#### avg_over_time #### avg_over_time
@ -94,35 +98,35 @@ See also [implicit query conversions](#implicit-query-conversions).
#### changes #### changes
`changes(series_selector[d])` calculates the number of times the raw samples changed on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Unlike `changes()` in Prometheus it takes into account the change from the last sample before the given lookbehind window `d`. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [changes_prometheus](#changes_prometheus). `changes(series_selector[d])` calculates the number of times the raw samples changed on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Unlike `changes()` in Prometheus it takes into account the change from the last sample before the given lookbehind window `d`. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [changes_prometheus](#changes_prometheus).
#### changes_prometheus #### changes_prometheus
`changes_prometheus(series_selector[d])` calculates the number of times the raw samples changed on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It doesn't take into account the change from the last sample before the given lookbehind window `d` in the same way as Prometheus does. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [changes](#changes). `changes_prometheus(series_selector[d])` calculates the number of times the raw samples changed on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It doesn't take into account the change from the last sample before the given lookbehind window `d` in the same way as Prometheus does. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [changes](#changes).
#### count_eq_over_time #### count_eq_over_time
`count_eq_over_time(series_selector[d], eq)` calculates the number of raw samples on the given lookbehind window `d`, which are equal to `eq`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [count_over_time](#count_over_time). `count_eq_over_time(series_selector[d], eq)` calculates the number of raw samples on the given lookbehind window `d`, which are equal to `eq`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [count_over_time](#count_over_time).
#### count_gt_over_time #### count_gt_over_time
`count_gt_over_time(series_selector[d], gt)` calculates the number of raw samples on the given lookbehind window `d`, which are bigger than `gt`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [count_over_time](#count_over_time). `count_gt_over_time(series_selector[d], gt)` calculates the number of raw samples on the given lookbehind window `d`, which are bigger than `gt`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [count_over_time](#count_over_time).
#### count_le_over_time #### count_le_over_time
`count_le_over_time(series_selector[d], le)` calculates the number of raw samples on the given lookbehind window `d`, which don't exceed `le`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [count_over_time](#count_over_time). `count_le_over_time(series_selector[d], le)` calculates the number of raw samples on the given lookbehind window `d`, which don't exceed `le`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [count_over_time](#count_over_time).
#### count_ne_over_time #### count_ne_over_time
`count_ne_over_time(series_selector[d], ne)` calculates the number of raw samples on the given lookbehind window `d`, which aren't equal to `ne`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [count_over_time](#count_over_time). `count_ne_over_time(series_selector[d], ne)` calculates the number of raw samples on the given lookbehind window `d`, which aren't equal to `ne`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [count_over_time](#count_over_time).
#### count_over_time #### count_over_time
`count_over_time(series_selector[d])` calculates the number of raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_gt_over_time), [count_eq_over_time](#count_eq_over_time) and [count_ne_over_time](#count_ne_over_time). `count_over_time(series_selector[d])` calculates the number of raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [count_le_over_time](#count_le_over_time), [count_gt_over_time](#count_gt_over_time), [count_eq_over_time](#count_eq_over_time) and [count_ne_over_time](#count_ne_over_time).
#### decreases_over_time #### decreases_over_time
`decreases_over_time(series_selector[d])` calculates the number of raw sample value decreases over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [increases_over_time](#increases_over_time). `decreases_over_time(series_selector[d])` calculates the number of raw sample value decreases over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [increases_over_time](#increases_over_time).
#### default_rollup #### default_rollup
@ -130,27 +134,27 @@ See also [implicit query conversions](#implicit-query-conversions).
#### delta #### delta
`delta(series_selector[d])` calculates the difference between the last sample before the given lookbehind window `d` and the last sample at the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). The behaviour of `delta()` function in MetricsQL is slighly different to the behaviour of `delta()` function in Prometheus. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [increase](#increase) and [delta_prometheus](#delta_prometheus). `delta(series_selector[d])` calculates the difference between the last sample before the given lookbehind window `d` and the last sample at the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). The behaviour of `delta()` function in MetricsQL is slighly different to the behaviour of `delta()` function in Prometheus. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [increase](#increase) and [delta_prometheus](#delta_prometheus).
#### delta_prometheus #### delta_prometheus
`delta_prometheus(series_selector[d])` calculates the difference between the first and the last samples at the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). The behaviour of `delta_prometheus()` is close to the behaviour of `delta()` function in Prometheus. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [delta](#delta). `delta_prometheus(series_selector[d])` calculates the difference between the first and the last samples at the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). The behaviour of `delta_prometheus()` is close to the behaviour of `delta()` function in Prometheus. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [delta](#delta).
#### deriv #### deriv
`deriv(series_selector[d])` calculates per-second derivative over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). The derivative is calculated using linear regression. Metric names are stripped from the resulting rollups. This function is supported by PromQL. Add `keep_metric_names` modifier in order to keep metric names. See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv). `deriv(series_selector[d])` calculates per-second derivative over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). The derivative is calculated using linear regression. Metric names are stripped from the resulting rollups. This function is supported by PromQL. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [deriv_fast](#deriv_fast) and [ideriv](#ideriv).
#### deriv_fast #### deriv_fast
`deriv_fast(series_selector[d])` calculates per-second derivative using the first and the last raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [deriv](#deriv) and [ideriv](#ideriv). `deriv_fast(series_selector[d])` calculates per-second derivative using the first and the last raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [deriv](#deriv) and [ideriv](#ideriv).
#### descent_over_time #### descent_over_time
`descent_over_time(series_selector[d])` calculates descent of raw sample values on the given lookbehind window `d`. The calculations are performed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Useful for tracking height loss in GPS tracking. Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [ascent_over_time](#ascent_over_time). `descent_over_time(series_selector[d])` calculates descent of raw sample values on the given lookbehind window `d`. The calculations are performed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Useful for tracking height loss in GPS tracking. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [ascent_over_time](#ascent_over_time).
#### distinct_over_time #### distinct_over_time
`distinct_over_time(series_selector[d])` returns the number of distinct raw sample values on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. `distinct_over_time(series_selector[d])` returns the number of distinct raw sample values on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### duration_over_time #### duration_over_time
@ -162,7 +166,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### geomean_over_time #### geomean_over_time
`geomean_over_time(series_selector[d])` calculates [geometric mean](https://en.wikipedia.org/wiki/Geometric_mean) over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. `geomean_over_time(series_selector[d])` calculates [geometric mean](https://en.wikipedia.org/wiki/Geometric_mean) over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### histogram_over_time #### histogram_over_time
@ -182,19 +186,19 @@ See also [implicit query conversions](#implicit-query-conversions).
#### idelta #### idelta
`idelta(series_selector[d])` calculates the difference between the last two raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `idelta(series_selector[d])` calculates the difference between the last two raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### ideriv #### ideriv
`ideriv(series_selector[d])` calculates the per-second derivative based on the last two raw samples over the given lookbehind window `d`. The derivative is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [deriv](#deriv). `ideriv(series_selector[d])` calculates the per-second derivative based on the last two raw samples over the given lookbehind window `d`. The derivative is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [deriv](#deriv).
#### increase #### increase
`increase(series_selector[d])` calculates the increase over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It is expected that the `series_selector` returns time series of [counter type](https://prometheus.io/docs/concepts/metric_types/#counter). Unlike Prometheus it takes into account the last sample before the given lookbehind window `d` when calculating the result. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta). `increase(series_selector[d])` calculates the increase over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It is expected that the `series_selector` returns time series of [counter type](https://prometheus.io/docs/concepts/metric_types/#counter). Unlike Prometheus it takes into account the last sample before the given lookbehind window `d` when calculating the result. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [increase_pure](#increase_pure), [increase_prometheus](#increase_prometheus) and [delta](#delta).
#### increase_prometheus #### increase_prometheus
`increase_prometheus(series_selector[d])` calculates the increase over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It is expected that the `series_selector` returns time series of [counter type](https://prometheus.io/docs/concepts/metric_types/#counter). It doesn't take into account the last sample before the given lookbehind window `d` when calculating the result in the same way as Prometheus does. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [increase_pure](#increase_pure) and [increase](#increase). `increase_prometheus(series_selector[d])` calculates the increase over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It is expected that the `series_selector` returns time series of [counter type](https://prometheus.io/docs/concepts/metric_types/#counter). It doesn't take into account the last sample before the given lookbehind window `d` when calculating the result in the same way as Prometheus does. See [this article](https://medium.com/@romanhavronenko/victoriametrics-promql-compliance-d4318203f51e) for details. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [increase_pure](#increase_pure) and [increase](#increase).
#### increase_pure #### increase_pure
@ -202,19 +206,19 @@ See also [implicit query conversions](#implicit-query-conversions).
#### increases_over_time #### increases_over_time
`increases_over_time(series_selector[d])` calculates the number of raw sample value increases over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [decreases_over_time](#decreases_over_time). `increases_over_time(series_selector[d])` calculates the number of raw sample value increases over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [decreases_over_time](#decreases_over_time).
#### integrate #### integrate
`integrate(series_selector[d])` calculates the integral over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. `integrate(series_selector[d])` calculates the integral over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### irate #### irate
`irate(series_selector[d])` calculates the "instant" per-second increase rate over the last two raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It is expected that the `series_selector` returns time series of [counter type](https://prometheus.io/docs/concepts/metric_types/#counter). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [rate](#rate). `irate(series_selector[d])` calculates the "instant" per-second increase rate over the last two raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It is expected that the `series_selector` returns time series of [counter type](https://prometheus.io/docs/concepts/metric_types/#counter). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [rate](#rate).
#### lag #### lag
`lag(series_selector[d])` returns the duration in seconds between the last sample on the given lookbehind window `d` and the timestamp of the current point. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [lifetime](#lifetime) and [duration_over_time](#duration_over_time). `lag(series_selector[d])` returns the duration in seconds between the last sample on the given lookbehind window `d` and the timestamp of the current point. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [lifetime](#lifetime) and [duration_over_time](#duration_over_time).
#### last_over_time #### last_over_time
@ -222,7 +226,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### lifetime #### lifetime
`lifetime(series_selector[d])` returns the duration in seconds between the last and the first sample on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [duration_over_time](#duration_over_time) and [lag](#lag). `lifetime(series_selector[d])` returns the duration in seconds between the last and the first sample on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [duration_over_time](#duration_over_time) and [lag](#lag).
#### max_over_time #### max_over_time
@ -246,7 +250,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### present_over_time #### present_over_time
`present_over_time(series_selector[d])` returns 1 if there is at least a single raw sample on the given lookbehind window `d`. Otherwise an empty result is returned. Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `present_over_time(series_selector[d])` returns 1 if there is at least a single raw sample on the given lookbehind window `d`. Otherwise an empty result is returned. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### quantile_over_time #### quantile_over_time
@ -258,19 +262,19 @@ See also [implicit query conversions](#implicit-query-conversions).
#### range_over_time #### range_over_time
`range_over_time(series_selector[d])` calculates value range over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). E.g. it calculates `max_over_time(series_selector[d]) - min_over_time(series_selector[d])`. Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. `range_over_time(series_selector[d])` calculates value range over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). E.g. it calculates `max_over_time(series_selector[d]) - min_over_time(series_selector[d])`. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### rate #### rate
`rate(series_selector[d])` calculates the average per-second increase rate over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It is expected that the `series_selector` returns time series of [counter type](https://prometheus.io/docs/concepts/metric_types/#counter). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `rate(series_selector[d])` calculates the average per-second increase rate over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It is expected that the `series_selector` returns time series of [counter type](https://prometheus.io/docs/concepts/metric_types/#counter). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### rate_over_sum #### rate_over_sum
`rate_over_sum(series_selector[d])` calculates per-second rate over the sum of raw samples on the given lookbehind window `d`. The calculations are performed indiviually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. `rate_over_sum(series_selector[d])` calculates per-second rate over the sum of raw samples on the given lookbehind window `d`. The calculations are performed indiviually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### resets #### resets
`resets(series_selector[d])` returns the number of [counter](https://prometheus.io/docs/concepts/metric_types/#counter) resets over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It is expected that the `series_selector` returns time series of [counter type](https://prometheus.io/docs/concepts/metric_types/#counter). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `resets(series_selector[d])` returns the number of [counter](https://prometheus.io/docs/concepts/metric_types/#counter) resets over the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). It is expected that the `series_selector` returns time series of [counter type](https://prometheus.io/docs/concepts/metric_types/#counter). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### rollup #### rollup
@ -282,59 +286,59 @@ See also [implicit query conversions](#implicit-query-conversions).
#### rollup_delta #### rollup_delta
`rollup_delta(series_selector[d])` calculates differences between adjancent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated differences. The calculations are performed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [rollup_increase](#rollup_increase). `rollup_delta(series_selector[d])` calculates differences between adjancent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated differences. The calculations are performed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [rollup_increase](#rollup_increase).
#### rollup_deriv #### rollup_deriv
`rollup_deriv(series_selector[d])` calculates per-second derivatives for adjancent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated per-second derivatives. The calculations are performed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. `rollup_deriv(series_selector[d])` calculates per-second derivatives for adjancent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated per-second derivatives. The calculations are performed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### rollup_increase #### rollup_increase
`rollup_increase(series_selector[d])` calculates increases for adjancent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated increases. The calculations are performed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [rollup_delta](#rollup_delta). `rollup_increase(series_selector[d])` calculates increases for adjancent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated increases. The calculations are performed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [rollup_delta](#rollup_delta).
#### rollup_rate #### rollup_rate
`rollup_rate(series_selector[d])` calculates per-second change rates for adjancent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated per-second change rates. The calculations are perfomed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. `rollup_rate(series_selector[d])` calculates per-second change rates for adjancent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated per-second change rates. The calculations are perfomed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### rollup_scrape_interval #### rollup_scrape_interval
`rollup_scrape_interval(series_selector[d])` calculates the interval in seconds between adjancent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated interval. The calculations are perfomed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [scrape_interval](#scrape_interval). `rollup_scrape_interval(series_selector[d])` calculates the interval in seconds between adjancent raw samples on the given lookbehind window `d` and returns `min`, `max` and `avg` values for the calculated interval. The calculations are perfomed individually per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [scrape_interval](#scrape_interval).
#### scrape_interval #### scrape_interval
`scrape_interval(series_selector[d])` calculates the average interval in seconds between raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [rollup_scrape_interval](#rollup_scrape_interval). `scrape_interval(series_selector[d])` calculates the average interval in seconds between raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [rollup_scrape_interval](#rollup_scrape_interval).
#### share_gt_over_time #### share_gt_over_time
`share_gt_over_time(series_selector[d], gt)` returns share (in the range `[0...1]`) of raw samples on the given lookbehind window `d`, which are bigger than `gt`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. Useful for calculating SLI and SLO. Example: `share_gt_over_time(up[24h], 0)` - returns service availability for the last 24 hours. See also [share_le_over_time](#share_le_over_time). `share_gt_over_time(series_selector[d], gt)` returns share (in the range `[0...1]`) of raw samples on the given lookbehind window `d`, which are bigger than `gt`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. Useful for calculating SLI and SLO. Example: `share_gt_over_time(up[24h], 0)` - returns service availability for the last 24 hours. See also [share_le_over_time](#share_le_over_time).
#### share_le_over_time #### share_le_over_time
`share_le_over_time(series_selector[d], le)` returns share (in the range `[0...1]`) of raw samples on the given lookbehind window `d`, which are smaller or equal to `le`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. Useful for calculating SLI and SLO. Example: `share_le_over_time(memory_usage_bytes[24h], 100*1024*1024)` returns the share of time series values for the last 24 hours when memory usage was below or equal to 100MB. See also [share_gt_over_time](#share_gt_over_time). `share_le_over_time(series_selector[d], le)` returns share (in the range `[0...1]`) of raw samples on the given lookbehind window `d`, which are smaller or equal to `le`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. Useful for calculating SLI and SLO. Example: `share_le_over_time(memory_usage_bytes[24h], 100*1024*1024)` returns the share of time series values for the last 24 hours when memory usage was below or equal to 100MB. See also [share_gt_over_time](#share_gt_over_time).
#### stale_samples_over_time #### stale_samples_over_time
`stale_samples_over_time(series_selector[d])` calculates the number of [staleness markers](https://docs.victoriametrics.com/vmagent.html#prometheus-staleness-markers) on the given lookbehind window `d` per each time series matching the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. `stale_samples_over_time(series_selector[d])` calculates the number of [staleness markers](https://docs.victoriametrics.com/vmagent.html#prometheus-staleness-markers) on the given lookbehind window `d` per each time series matching the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### stddev_over_time #### stddev_over_time
`stddev_over_time(series_selector[d])` calculates standard deviation over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [stdvar_over_time](#stdvar_over_time). `stddev_over_time(series_selector[d])` calculates standard deviation over raw samples on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [stdvar_over_time](#stdvar_over_time).
#### stdvar_over_time #### stdvar_over_time
`stdvar_over_time(series_selector[d])` calculates stadnard variance over raw samples on the given lookbheind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [stddev_over_time](#stddev_over_time). `stdvar_over_time(series_selector[d])` calculates stadnard variance over raw samples on the given lookbheind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [stddev_over_time](#stddev_over_time).
#### sum_over_time #### sum_over_time
`sum_over_time(series_selector[d])` calculates the sum of raw sample values on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `sum_over_time(series_selector[d])` calculates the sum of raw sample values on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### sum2_over_time #### sum2_over_time
`sum2_over_time(series_selector[d])` calculates the sum of squares for raw sample values on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. `sum2_over_time(series_selector[d])` calculates the sum of squares for raw sample values on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### timestamp #### timestamp
`timestamp(series_selector[d])` returns the timestamp in seconds for the last raw sample on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [timestamp_with_name](#timestamp_with_name). `timestamp(series_selector[d])` returns the timestamp in seconds for the last raw sample on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [timestamp_with_name](#timestamp_with_name).
#### timestamp_with_name #### timestamp_with_name
@ -342,30 +346,34 @@ See also [implicit query conversions](#implicit-query-conversions).
#### tfirst_over_time #### tfirst_over_time
`tfirst_over_time(series_selector[d])` returns the timestamp in seconds for the first raw sample on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [first_over_time](#first_over_time). `tfirst_over_time(series_selector[d])` returns the timestamp in seconds for the first raw sample on the given lookbehind window `d` per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [first_over_time](#first_over_time).
#### tlast_change_over_time
`tlast_change_over_time(series_selector[d])` returns the timestamp in seconds for the last change per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors) on the given lookbehind window `d`. Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [last_over_time](#last_over_time).
#### tlast_over_time #### tlast_over_time
`tlast_over_time(series_selector[d])` is an alias for [timestamp](#timestamp). `tlast_over_time(series_selector[d])` is an alias for [timestamp](#timestamp). See also [tlast_change_over_time](#tlast_change_over_time).
#### tmax_over_time #### tmax_over_time
`tmax_over_time(series_selector[d])` returns the timestamp in seconds for the raw sample with the maximum value on the given lookbehind window `d`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [max_over_time](#max_over_time). `tmax_over_time(series_selector[d])` returns the timestamp in seconds for the raw sample with the maximum value on the given lookbehind window `d`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [max_over_time](#max_over_time).
#### tmin_over_time #### tmin_over_time
`tmin_over_time(series_selector[d])` returns the timestamp in seconds for the raw sample with the minimum value on the given lookbehind window `d`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. See also [min_over_time](#min_over_time). `tmin_over_time(series_selector[d])` returns the timestamp in seconds for the raw sample with the minimum value on the given lookbehind window `d`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [min_over_time](#min_over_time).
#### zscore_over_time #### zscore_over_time
`zscore_over_time(series_selector[d])` calculates returns [z-score](https://en.wikipedia.org/wiki/Standard_score) for raw samples on the given lookbehind window `d`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add `keep_metric_names` modifier in order to keep metric names. `zscore_over_time(series_selector[d])` calculates returns [z-score](https://en.wikipedia.org/wiki/Standard_score) for raw samples on the given lookbehind window `d`. It is calculated independently per each time series returned from the given [series_selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors). Metric names are stripped from the resulting rollups. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
### Transform functions ### Transform functions
**Transform functions** calculate transformations over rollup results. For example, `abs(delta(temperature[24h]))` calculates the absolute value for every point of every time series returned from the rollup `delta(temperature[24h])`. Additional details: **Transform functions** calculate transformations over rollup results. For example, `abs(delta(temperature[24h]))` calculates the absolute value for every point of every time series returned from the rollup `delta(temperature[24h])`. Additional details:
* If transform function is applied directly to a [series selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors), then the [default_rollup()](#default_rollup) function is automatically applied before calculating the transformations. For example, `abs(temperature)` is implicitly transformed to `abs(default_rollup(temperature[1i]))`. * If transform function is applied directly to a [series selector](https://prometheus.io/docs/prometheus/latest/querying/basics/#time-series-selectors), then the [default_rollup()](#default_rollup) function is automatically applied before calculating the transformations. For example, `abs(temperature)` is implicitly transformed to `abs(default_rollup(temperature[1i]))`.
* All the transform functions accept optional `keep_metric_names` modifier. If it is set, then the function doesn't drop metric names from the resulting time series. For example, `ln({__name__=~"foo|bar"}) keep_metric_names` leaves `foo` and `bar` metric names in results. * All the transform functions accept optional `keep_metric_names` modifier. If it is set, then the function doesn't drop metric names from the resulting time series. See [these docs](#keep_metric_names).
See also [implicit query conversions](#implicit-query-conversions). See also [implicit query conversions](#implicit-query-conversions).
@ -379,39 +387,39 @@ See also [implicit query conversions](#implicit-query-conversions).
#### acos #### acos
`acos(q)` returns [inverse cosine](https://en.wikipedia.org/wiki/Inverse_trigonometric_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [asin](#asin) and [cos](#cos). `acos(q)` returns [inverse cosine](https://en.wikipedia.org/wiki/Inverse_trigonometric_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [asin](#asin) and [cos](#cos).
#### acosh #### acosh
`acosh(q)` returns [inverse hyperbolic cosine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_cosine) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [sinh](#cosh). `acosh(q)` returns [inverse hyperbolic cosine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_cosine) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [sinh](#cosh).
#### asin #### asin
`asin(q)` returns [inverse sine](https://en.wikipedia.org/wiki/Inverse_trigonometric_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [acos](#acos) and [sin](#sin). `asin(q)` returns [inverse sine](https://en.wikipedia.org/wiki/Inverse_trigonometric_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [acos](#acos) and [sin](#sin).
#### asinh #### asinh
`asinh(q)` returns [inverse hyperbolic sine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_sine) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [sinh](#sinh). `asinh(q)` returns [inverse hyperbolic sine](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_sine) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [sinh](#sinh).
#### atan #### atan
`atan(q)` returns [inverse tangent](https://en.wikipedia.org/wiki/Inverse_trigonometric_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [tan](#tan). `atan(q)` returns [inverse tangent](https://en.wikipedia.org/wiki/Inverse_trigonometric_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [tan](#tan).
#### atanh #### atanh
`atanh(q)` returns [inverse hyperbolic tangent](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_tangent) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [tanh](#tanh). `atanh(q)` returns [inverse hyperbolic tangent](https://en.wikipedia.org/wiki/Inverse_hyperbolic_functions#Inverse_hyperbolic_tangent) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [tanh](#tanh).
#### bitmap_and #### bitmap_and
`bitmap_and(q, mask)` - calculates bitwise `v & mask` for every `v` point of every time series returned from `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. `bitmap_and(q, mask)` - calculates bitwise `v & mask` for every `v` point of every time series returned from `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### bitmap_or #### bitmap_or
`bitmap_or(q, mask)` calculates bitwise `v | mask` for every `v` point of every time series returned from `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. `bitmap_or(q, mask)` calculates bitwise `v | mask` for every `v` point of every time series returned from `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### bitmap_xor #### bitmap_xor
`bitmap_xor(q, mask)` calculates bitwise `v ^ mask` for every `v` point of every time series returned from `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. `bitmap_xor(q, mask)` calculates bitwise `v ^ mask` for every `v` point of every time series returned from `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### buckets_limit #### buckets_limit
@ -435,27 +443,27 @@ See also [implicit query conversions](#implicit-query-conversions).
#### cos #### cos
`cos(q)` returns `cos(v)` for every `v` point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [sin](#sin). `cos(q)` returns `cos(v)` for every `v` point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [sin](#sin).
#### cosh #### cosh
`cosh(q)` returns [hyperbolic cosine](https://en.wikipedia.org/wiki/Hyperbolic_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. This function is supported by PromQL. See also [acosh](#acosh). `cosh(q)` returns [hyperbolic cosine](https://en.wikipedia.org/wiki/Hyperbolic_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. This function is supported by PromQL. See also [acosh](#acosh).
#### day_of_month #### day_of_month
`day_of_month(q)` returns the day of month for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[1...31]`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `day_of_month(q)` returns the day of month for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[1...31]`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### day_of_week #### day_of_week
`day_of_week(q)` returns the day of week for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[0...6]`, where `0` means Sunday and `6` means Saturday. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `day_of_week(q)` returns the day of week for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[0...6]`, where `0` means Sunday and `6` means Saturday. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### days_in_month #### days_in_month
`days_in_month(q)` returns the number of days in the month identified by every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[28...31]`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `days_in_month(q)` returns the number of days in the month identified by every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[28...31]`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### deg #### deg
`deg(q)` converts [Radians to degrees](https://en.wikipedia.org/wiki/Radian#Conversions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [rad](#rad). `deg(q)` converts [Radians to degrees](https://en.wikipedia.org/wiki/Radian#Conversions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [rad](#rad).
#### end #### end
@ -463,7 +471,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### exp #### exp
`exp(q)` calculates the `e^v` for every point `v` of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. See also [ln](#ln). This function is supported by PromQL. `exp(q)` calculates the `e^v` for every point `v` of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. See also [ln](#ln). This function is supported by PromQL.
#### floor #### floor
@ -495,7 +503,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### hour #### hour
`hour(q)` returns the hour for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[0...23]`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `hour(q)` returns the hour for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[0...23]`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### interpolate #### interpolate
@ -515,23 +523,23 @@ See also [implicit query conversions](#implicit-query-conversions).
#### ln #### ln
`ln(q)` calculates `ln(v)` for every point `v` of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [exp](#exp) and [log2](#log2). `ln(q)` calculates `ln(v)` for every point `v` of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [exp](#exp) and [log2](#log2).
#### log2 #### log2
`log2(q)` calculates `log2(v)` for every point `v` of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [log10](#log10) and [ln](#ln). `log2(q)` calculates `log2(v)` for every point `v` of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [log10](#log10) and [ln](#ln).
#### log10 #### log10
`log10(q)` calculates `log10(v)` for every point `v` of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [log2](#log2) and [ln](#ln). `log10(q)` calculates `log10(v)` for every point `v` of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [log2](#log2) and [ln](#ln).
#### minute #### minute
`minute(q)` returns the minute for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[0...59]`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `minute(q)` returns the minute for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[0...59]`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### month #### month
`month(q)` returns the month for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[1...12]`, where `1` means January and `12` means December. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `month(q)` returns the month for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. The returned values are in the range `[1...12]`, where `1` means January and `12` means December. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### now #### now
@ -543,7 +551,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### rad #### rad
`rad(q)` converts [degrees to Radians](https://en.wikipedia.org/wiki/Radian#Conversions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. See also [deg](#deg). `rad(q)` converts [degrees to Radians](https://en.wikipedia.org/wiki/Radian#Conversions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL. See also [deg](#deg).
#### prometheus_buckets #### prometheus_buckets
@ -591,7 +599,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### range_sum #### range_sum
`range_sum(q)` calculates the sum of points per each time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. `range_sum(q)` calculates the sum of points per each time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### remove_resets #### remove_resets
@ -619,7 +627,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### running_sum #### running_sum
`running_sum(q)` calculates the running sum per each time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. `running_sum(q)` calculates the running sum per each time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names.
#### scalar #### scalar
@ -627,23 +635,23 @@ See also [implicit query conversions](#implicit-query-conversions).
#### sgn #### sgn
`sgn(q)` returns `1` if `v>0`, `-1` if `v<0` and `0` if `v==0` for every point `v` of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `sgn(q)` returns `1` if `v>0`, `-1` if `v<0` and `0` if `v==0` for every point `v` of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### sin #### sin
`sin(q)` returns `sin(v)` for every `v` point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by MetricsQL. See also [cos](#cos). `sin(q)` returns `sin(v)` for every `v` point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by MetricsQL. See also [cos](#cos).
#### sinh #### sinh
`sinh(q)` returns [hyperbolic sine](https://en.wikipedia.org/wiki/Hyperbolic_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by MetricsQL. See also [cosh](#cosh). `sinh(q)` returns [hyperbolic sine](https://en.wikipedia.org/wiki/Hyperbolic_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by MetricsQL. See also [cosh](#cosh).
#### tan #### tan
`tan(q)` returns `tan(v)` for every `v` point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by MetricsQL. See also [atan](#atan). `tan(q)` returns `tan(v)` for every `v` point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by MetricsQL. See also [atan](#atan).
#### tanh #### tanh
`tanh(q)` returns [hyperbolic tangent](https://en.wikipedia.org/wiki/Hyperbolic_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by MetricsQL. See also [atanh](#atanh). `tanh(q)` returns [hyperbolic tangent](https://en.wikipedia.org/wiki/Hyperbolic_functions) for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by MetricsQL. See also [atanh](#atanh).
#### smooth_exponential #### smooth_exponential
@ -667,7 +675,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### sqrt #### sqrt
`sqrt(q)` calculates square root for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `sqrt(q)` calculates square root for every point of every time series returned by `q`. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
#### start #### start
@ -699,7 +707,7 @@ See also [implicit query conversions](#implicit-query-conversions).
#### year #### year
`year(q)` returns the year for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. Metric names are stripped from the resulting series. Add `keep_metric_names` modifier in order to keep metric names. This function is supported by PromQL. `year(q)` returns the year for every point of every time series returned by `q`. It is expected that `q` returns unix timestamps. Metric names are stripped from the resulting series. Add [keep_metric_names](#keep_metric_names) modifier in order to keep metric names. This function is supported by PromQL.
### Label manipulation functions ### Label manipulation functions

2
go.mod
View file

@ -10,7 +10,7 @@ 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 v1.18.1 github.com/VictoriaMetrics/metrics v1.18.1
github.com/VictoriaMetrics/metricsql v0.42.0 github.com/VictoriaMetrics/metricsql v0.43.0
github.com/aws/aws-sdk-go v1.44.0 github.com/aws/aws-sdk-go v1.44.0
github.com/cespare/xxhash/v2 v2.1.2 github.com/cespare/xxhash/v2 v2.1.2
github.com/cheggaaa/pb/v3 v3.0.8 github.com/cheggaaa/pb/v3 v3.0.8

4
go.sum
View file

@ -120,8 +120,8 @@ github.com/VictoriaMetrics/fasthttp v1.1.0 h1:3crd4YWHsMwu60GUXRH6OstowiFvqrwS4a
github.com/VictoriaMetrics/fasthttp v1.1.0/go.mod h1:/7DMcogqd+aaD3G3Hg5kFgoFwlR2uydjiWvoLp5ZTqQ= github.com/VictoriaMetrics/fasthttp v1.1.0/go.mod h1:/7DMcogqd+aaD3G3Hg5kFgoFwlR2uydjiWvoLp5ZTqQ=
github.com/VictoriaMetrics/metrics v1.18.1 h1:OZ0+kTTto8oPfHnVAnTOoyl0XlRhRkoQrD2n2cOuRw0= github.com/VictoriaMetrics/metrics v1.18.1 h1:OZ0+kTTto8oPfHnVAnTOoyl0XlRhRkoQrD2n2cOuRw0=
github.com/VictoriaMetrics/metrics v1.18.1/go.mod h1:ArjwVz7WpgpegX/JpB0zpNF2h2232kErkEnzH1sxMmA= github.com/VictoriaMetrics/metrics v1.18.1/go.mod h1:ArjwVz7WpgpegX/JpB0zpNF2h2232kErkEnzH1sxMmA=
github.com/VictoriaMetrics/metricsql v0.42.0 h1:E+NZWdpZHSLapQTuT9g+MB4vvD9JB6dSd/0L8QDkcQ4= github.com/VictoriaMetrics/metricsql v0.43.0 h1:pFkzfExn9GJ1w3tE1pFTkjlyPd4kr/onh5CBAJAZf+s=
github.com/VictoriaMetrics/metricsql v0.42.0/go.mod h1:6pP1ZeLVJHqJrHlF6Ij3gmpQIznSsgktEcZgsAWYel0= github.com/VictoriaMetrics/metricsql v0.43.0/go.mod h1:6pP1ZeLVJHqJrHlF6Ij3gmpQIznSsgktEcZgsAWYel0=
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=

1
vendor/github.com/VictoriaMetrics/metricsql/rollup.go generated vendored
View file

@ -74,6 +74,7 @@ var rollupFuncs = map[string]bool{
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/415 for details. // See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/415 for details.
"timestamp": true, "timestamp": true,
"timestamp_with_name": true, "timestamp_with_name": true,
"tlast_change_over_time": true,
"tlast_over_time": true, "tlast_over_time": true,
"tmax_over_time": true, "tmax_over_time": true,
"tmin_over_time": true, "tmin_over_time": true,

2
vendor/modules.txt vendored
View file

@ -27,7 +27,7 @@ github.com/VictoriaMetrics/fasthttp/stackless
# github.com/VictoriaMetrics/metrics v1.18.1 # github.com/VictoriaMetrics/metrics v1.18.1
## explicit; go 1.12 ## explicit; go 1.12
github.com/VictoriaMetrics/metrics github.com/VictoriaMetrics/metrics
# github.com/VictoriaMetrics/metricsql v0.42.0 # github.com/VictoriaMetrics/metricsql v0.43.0
## explicit; go 1.13 ## explicit; go 1.13
github.com/VictoriaMetrics/metricsql github.com/VictoriaMetrics/metricsql
github.com/VictoriaMetrics/metricsql/binaryop github.com/VictoriaMetrics/metricsql/binaryop