github-mirrors/VictoriaMetrics
1
0
Fork 0
mirror of https://github.com/VictoriaMetrics/VictoriaMetrics.git synced 2024-11-21 14:44:00 +00:00
Code Issues Projects Releases Packages Wiki Activity

docs/stream-aggregation.md: mention that sum_samples, stddev, stdvar, histogram_bucket and quantiles outputs must be applied only to gauge metrics

Browse source
This commit is contained in:
Aliaksandr Valialkin 2023-07-20 11:31:38 -07:00
parent c5f94fa5fc
commit 2991f8684f
No known key found for this signature in database
GPG key ID: A72BEC6CD3D0DED1
1 changed files with 7 additions and 2 deletions
Show stats Download patch file Download diff file Expand all files Collapse all files

9
docs/stream-aggregation.md
View file

@ -358,7 +358,7 @@ Below are aggregation functions that can be put in the `outputs` list at [stream
### total
`total` generates output [counter](https://docs.victoriametrics.com/keyConcepts.html#counter) by summing the input counters.
`total` only makes sense for aggregating [counter](https://docs.victoriametrics.com/keyConcepts.html#counter) type metrics.
`total` only makes sense for aggregating [counter](https://docs.victoriametrics.com/keyConcepts.html#counter) metrics.
The results of `total` is equal to the `sum(some_counter)` query.
@ -383,7 +383,7 @@ This changes a label with pod's name in the series, but `total` account for such
### increase
`increase` returns the increase of input [counters](https://docs.victoriametrics.com/keyConcepts.html#counter).
`increase` only makes sense for aggregating [counter](https://docs.victoriametrics.com/keyConcepts.html#counter) type metrics.
`increase` only makes sense for aggregating [counter](https://docs.victoriametrics.com/keyConcepts.html#counter) metrics.
The results of `increase` with aggregation interval of `1m` is equal to the `increase(some_counter[1m])` query.
@ -406,6 +406,7 @@ The results of `count_samples` with aggregation interval of `1m` is equal to the
### sum_samples
`sum_samples` sums input [sample values](https://docs.victoriametrics.com/keyConcepts.html#raw-samples).
`sum_samples` makes sense only for aggregating [gauge](https://docs.victoriametrics.com/keyConcepts.html#gauge) metrics.
The results of `sum_samples` with aggregation interval of `1m` is equal to the `sum_over_time(some_metric[1m])` query.
@ -455,12 +456,14 @@ For example, see below time series produced by config with aggregation interval
### stddev
`stddev` returns [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) for the input [sample values](https://docs.victoriametrics.com/keyConcepts.html#raw-samples).
`stddev` makes sense only for aggregating [gauge](https://docs.victoriametrics.com/keyConcepts.html#gauge) metrics.
The results of `stddev` with aggregation interval of `1m` is equal to the `stddev_over_time(some_metric[1m])` query.
### stdvar
`stdvar` returns [standard variance](https://en.wikipedia.org/wiki/Variance) for the input [sample values](https://docs.victoriametrics.com/keyConcepts.html#raw-samples).
`stdvar` makes sense only for aggregating [gauge](https://docs.victoriametrics.com/keyConcepts.html#gauge) metrics.
The results of `stdvar` with aggregation interval of `1m` is equal to the `stdvar_over_time(some_metric[1m])` query.
@ -472,6 +475,7 @@ For example, see below time series produced by config with aggregation interval
`histogram_bucket` returns [VictoriaMetrics histogram buckets](https://valyala.medium.com/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350)
for the input [sample values](https://docs.victoriametrics.com/keyConcepts.html#raw-samples).
`histogram_bucket` makes sense only for aggregating [gauge](https://docs.victoriametrics.com/keyConcepts.html#gauge) metrics.
The results of `histogram_bucket` with aggregation interval of `1m` is equal to the `histogram_over_time(some_histogram_bucket[1m])` query.
@ -480,6 +484,7 @@ The results of `histogram_bucket` with aggregation interval of `1m` is equal to
`quantiles(phi1, ..., phiN)` returns [percentiles](https://en.wikipedia.org/wiki/Percentile) for the given `phi*`
over the input [sample values](https://docs.victoriametrics.com/keyConcepts.html#raw-samples).
The `phi` must be in the range `[0..1]`, where `0` means `0th` percentile, while `1` means `100th` percentile.
`quantiles(...)` makes sense only for aggregating [gauge](https://docs.victoriametrics.com/keyConcepts.html#gauge) metrics.
The results of `quantiles(phi1, ..., phiN)` with aggregation interval of `1m`
is equal to the `quantiles_over_time("quantile", phi1, ..., phiN, some_histogram_bucket[1m])` query.