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docs/MetricsQL.md: add links to "rollup results" explanation

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Aliaksandr Valialkin 2023-02-03 11:09:42 -08:00
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@ -811,7 +811,7 @@ Metric names are stripped from the resulting rollups. Add [keep_metric_names](#k
### Transform functions
**Transform functions** calculate transformations over rollup results.
**Transform functions** calculate transformations over [rollup results](#rollup-functions).
For example, `abs(delta(temperature[24h]))` calculates the absolute value for every point of every time series
returned from the rollup `delta(temperature[24h])`.
@ -1423,7 +1423,7 @@ This function is supported by PromQL.
### Label manipulation functions
**Label manipulation functions** perform manipulations with lables on the selected rollup results.
**Label manipulation functions** perform manipulations with lables on the selected [rollup results](#rollup-functions).
Additional details:
@ -1588,14 +1588,14 @@ See also [sort_by_label_numeric](#sort_by_label_numeric) and [sort_by_label_desc
### Aggregate functions
**Aggregate functions** calculate aggregates over groups of rollup results.
**Aggregate functions** calculate aggregates over groups of [rollup results](#rollup-functions).
Additional details:
* By default a single group is used for aggregation. Multiple independent groups can be set up by specifying grouping labels
in `by` and `without` modifiers. For example, `count(up) by (job)` would group rollup results by `job` label value
in `by` and `without` modifiers. For example, `count(up) by (job)` would group [rollup results](#rollup-functions) by `job` label value
and calculate the [count](#count) aggregate function independently per each group, while `count(up) without (instance)`
would group rollup results by all the labels except `instance` before calculating [count](#count) aggregate function independently per each group.
would group [rollup results](#rollup-functions) by all the labels except `instance` before calculating [count](#count) aggregate function independently per each group.
Multiple labels can be put in `by` and `without` modifiers.
* If the aggregate function is applied directly to a [series_selector](https://docs.victoriametrics.com/keyConcepts.html#filtering),
then the [default_rollup()](#default_rollup) function is automatically applied before calculating the aggregate.