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* Document nested expressions for stats * More docs * Apply suggestions from review - count-distinct.asciidoc - Content restructured, moving the section about approximate counts to end of doc. - count.asciidoc - Clarified that omitting the `expression` parameter in `COUNT` is equivalent to `COUNT(*)`, which counts the number of rows. - percentile.asciidoc - Moved the note about `PERCENTILE` being approximate and non-deterministic to end of doc. - stats.asciidoc - Clarified the `STATS` command - Added a note indicating that individual `null` values are skipped during aggregation * Comment out mentioning a buggy behavior * Update sum with inline function example, update test file * Fix typo * Delete line * Simplify wording * Fix conflict fix typo --------- Co-authored-by: Liam Thompson <leemthompo@gmail.com> Co-authored-by: Liam Thompson <32779855+leemthompo@users.noreply.github.com>
47 lines
1 KiB
Text
47 lines
1 KiB
Text
[discrete]
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[[esql-agg-avg]]
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=== `AVG`
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*Syntax*
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[source,esql]
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----
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AVG(expression)
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----
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`expression`::
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Numeric expression.
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//If `null`, the function returns `null`.
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// TODO: Remove comment when https://github.com/elastic/elasticsearch/issues/104900 is fixed.
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*Description*
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The average of a numeric expression.
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*Supported types*
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The result is always a `double` no matter the input type.
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*Examples*
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[source.merge.styled,esql]
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----
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include::{esql-specs}/stats.csv-spec[tag=avg]
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----
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[%header.monospaced.styled,format=dsv,separator=|]
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include::{esql-specs}/stats.csv-spec[tag=avg-result]
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|===
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The expression can use inline functions. For example, to calculate the average
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over a multivalued column, first use `MV_AVG` to average the multiple values per
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row, and use the result with the `AVG` function:
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[source.merge.styled,esql]
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----
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include::{esql-specs}/stats.csv-spec[tag=docsStatsAvgNestedExpression]
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----
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[%header.monospaced.styled,format=dsv,separator=|]
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|===
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include::{esql-specs}/stats.csv-spec[tag=docsStatsAvgNestedExpression-result]
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|===
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