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docs: mention stream aggregation as more efficient approach for aggregation (#4429)

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Signed-off-by: hagen1778 <roman@victoriametrics.com>
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Roman Khavronenko 2023-06-09 13:47:54 +02:00 committed by GitHub
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3
app/vmalert/README.md
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@ -526,6 +526,9 @@ Check how to replace it with [cluster VictoriaMetrics](#cluster-victoriametrics)
#### Downsampling and aggregation via vmalert #### Downsampling and aggregation via vmalert
_Please note, [stream aggregation](https://docs.victoriametrics.com/stream-aggregation.html) might be more efficient
for cases when downsampling or aggregation need to be applied **before data gets into the TSDB.**_
`vmalert` can't modify existing data. But it can run arbitrary PromQL/MetricsQL queries `vmalert` can't modify existing data. But it can run arbitrary PromQL/MetricsQL queries
via [recording rules](#recording-rules) and backfill results to the configured `-remoteWrite.url`. via [recording rules](#recording-rules) and backfill results to the configured `-remoteWrite.url`.
This ability allows to aggregate data. For example, the following rule will calculate the average value for This ability allows to aggregate data. For example, the following rule will calculate the average value for

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docs/stream-aggregation.md
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@ -13,7 +13,7 @@ aliases:
# streaming aggregation # streaming aggregation
[vmagent](https://docs.victoriametrics.com/vmagent.html) and [single-node VictoriaMetrics](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html) [vmagent](https://docs.victoriametrics.com/vmagent.html) and [single-node VictoriaMetrics](https://docs.victoriametrics.com/Single-server-VictoriaMetrics.html)
can aggregate incoming [samples](https://docs.victoriametrics.com/keyConcepts.html#raw-samples) in streaming mode by time and by labels. can aggregate incoming [samples](https://docs.victoriametrics.com/keyConcepts.html#raw-samples) in streaming mode by time and by labels before data is written to remote storage.
The aggregation is applied to all the metrics received via any [supported data ingestion protocol](https://docs.victoriametrics.com/#how-to-import-time-series-data) The aggregation is applied to all the metrics received via any [supported data ingestion protocol](https://docs.victoriametrics.com/#how-to-import-time-series-data)
and/or scraped from [Prometheus-compatible targets](https://docs.victoriametrics.com/#how-to-scrape-prometheus-exporters-such-as-node-exporter). and/or scraped from [Prometheus-compatible targets](https://docs.victoriametrics.com/#how-to-scrape-prometheus-exporters-such-as-node-exporter).

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docs/vmalert.md
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@ -537,6 +537,9 @@ Check how to replace it with [cluster VictoriaMetrics](#cluster-victoriametrics)
#### Downsampling and aggregation via vmalert #### Downsampling and aggregation via vmalert
_Please note, [stream aggregation](https://docs.victoriametrics.com/stream-aggregation.html) might be more efficient
for cases when downsampling or aggregation need to be applied **before data gets into the TSDB.**_
`vmalert` can't modify existing data. But it can run arbitrary PromQL/MetricsQL queries `vmalert` can't modify existing data. But it can run arbitrary PromQL/MetricsQL queries
via [recording rules](#recording-rules) and backfill results to the configured `-remoteWrite.url`. via [recording rules](#recording-rules) and backfill results to the configured `-remoteWrite.url`.
This ability allows to aggregate data. For example, the following rule will calculate the average value for This ability allows to aggregate data. For example, the following rule will calculate the average value for