docs/stream-aggregation.md: use 5m instead of 300 in the example query for rate() calculation from "increase" results

This makes the query easier to read and understand

Follow-up for 0df506de54
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Aliaksandr Valialkin 2023-08-28 09:36:16 +02:00
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@ -448,15 +448,15 @@ For example, see below time series produced by config with aggregation interval
<img alt="increase aggregation" src="stream-aggregation-check-increase.png"> <img alt="increase aggregation" src="stream-aggregation-check-increase.png">
Aggregating irregular and sporadic metrics (received from [Lambdas](https://aws.amazon.com/lambda/)
or [Cloud Functions](https://cloud.google.com/functions)) can be controlled via [staleness_inteval](#stream-aggregation-config).
`increase` can be used as an alternative for [rate](https://docs.victoriametrics.com/MetricsQL.html#rate) function. `increase` can be used as an alternative for [rate](https://docs.victoriametrics.com/MetricsQL.html#rate) function.
For example, if we have `increase` with `interval` of `5m` for a counter `some_counter`, then to get `rate` we should divide For example, if we have `increase` with `interval` of `5m` for a counter `some_counter`, then to get `rate` we should divide
the resulting aggregation by the `interval` in seconds: `some_counter:5m_increase / 300` is similar to `rate(some_counter[5m])`. the resulting aggregation by the `interval` in seconds: `some_counter:5m_increase / 5m` is similar to `rate(some_counter[5m])`.
Please note, opposite to [rate](https://docs.victoriametrics.com/MetricsQL.html#rate), `increase` aggregations can be Please note, opposite to [rate](https://docs.victoriametrics.com/MetricsQL.html#rate), `increase` aggregations can be
combined safely afterwards. This is helpful when the aggregation is calculated by more than one vmagent. combined safely afterwards. This is helpful when the aggregation is calculated by more than one vmagent.
Aggregating irregular and sporadic metrics (received from [Lambdas](https://aws.amazon.com/lambda/)
or [Cloud Functions](https://cloud.google.com/functions)) can be controlled via [staleness_inteval](#stream-aggregation-config).
### count_series ### count_series
`count_series` counts the number of unique [time series](https://docs.victoriametrics.com/keyConcepts.html#time-series). `count_series` counts the number of unique [time series](https://docs.victoriametrics.com/keyConcepts.html#time-series).