Skip to content

SQL: [Docs] Add limitation for aggregate functions on scalars #38186

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 2 commits into from
Feb 1, 2019
Merged

SQL: [Docs] Add limitation for aggregate functions on scalars #38186

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
6c5f556
SQL: [Docs] Add limitation for aggregate functions on scalars
matriv Feb 1, 2019
35b7332
Address comment
matriv Feb 1, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 6 additions & 0 deletions docs/reference/sql/limitations.asciidoc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -70,6 +70,12 @@ When doing aggregations (`GROUP BY`) {es-sql} relies on {es}'s `composite` aggre
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
means that queries like `SELECT * FROM test GROUP BY age ORDER BY COUNT(*)` are not possible.

[float]
=== Use aggregation functions on top of scalar functions

Aggregation functions like <<sql-functions-aggs-min,`MIN`>>, <<sql-functions-aggs-max,`MAX`>>, etc. can only be used
directly on fields, and so queries like `SELECT MAX(abs(age)) FROM test` are not possible.

[float]
=== Using a sub-select

Expand Down