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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>
41 lines
824 B
Text
41 lines
824 B
Text
[discrete]
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[[esql-agg-sum]]
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=== `SUM`
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*Syntax*
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[source,esql]
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----
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SUM(expression)
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----
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`expression`::
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Numeric expression.
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*Description*
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Returns the sum of a numeric expression.
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*Example*
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[source.merge.styled,esql]
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----
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include::{esql-specs}/stats.csv-spec[tag=sum]
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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=sum-result]
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|===
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The expression can use inline functions. For example, to calculate
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the sum of each employee's maximum salary changes, apply the
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`MV_MAX` function to each row and then sum the results:
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[source.merge.styled,esql]
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----
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include::{esql-specs}/stats.csv-spec[tag=docsStatsSumNestedExpression]
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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=docsStatsSumNestedExpression-result]
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|===
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