SQL: [Docs] Add limitation for aggregate functions on scalars (#38186)
Currently aggregate functions can operate only directly on fields. They cannot be used on top of scalar functions as painless scripting is currently not supported.
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@ -70,6 +70,12 @@ When doing aggregations (`GROUP BY`) {es-sql} relies on {es}'s `composite` aggre
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But this type of aggregation does come with a limitation: sorting can only be applied on the key used for the aggregation's buckets. This
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means that queries like `SELECT * FROM test GROUP BY age ORDER BY COUNT(*)` are not possible.
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[float]
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=== Using aggregation functions on top of scalar functions
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Aggregation functions like <<sql-functions-aggs-min,`MIN`>>, <<sql-functions-aggs-max,`MAX`>>, etc. can only be used
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directly on fields, and so queries like `SELECT MAX(abs(age)) FROM test` are not possible.
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[float]
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=== Using a sub-select
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@ -92,7 +98,7 @@ But, if the sub-select would include a `GROUP BY` or `HAVING` or the enclosing `
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FROM (SELECT ...) WHERE [simple_condition]`, this is currently **un-supported**.
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[float]
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=== Use <<sql-functions-aggs-first, `FIRST`>>/<<sql-functions-aggs-last,`LAST`>> aggregation functions in `HAVING` clause
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=== Using <<sql-functions-aggs-first, `FIRST`>>/<<sql-functions-aggs-last,`LAST`>> aggregation functions in `HAVING` clause
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Using `FIRST` and `LAST` in the `HAVING` clause is not supported. The same applies to
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<<sql-functions-aggs-min,`MIN`>> and <<sql-functions-aggs-max,`MAX`>> when their target column
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