elasticsearch/docs/reference/esql/functions/description/greatest.asciidoc

// This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.

*Description*

Returns the maximum value from multiple columns. This is similar to <<esql-mv_max>> except it is intended to run on multiple columns at once.

NOTE: When run on `keyword` or `text` fields, this returns the last string in alphabetical order. When run on `boolean` columns this will return `true` if any values are `true`.
ESQL: Generate a few more docs (#106577) And improve the error message on csv test failures. 2024-03-21 22:51:35 +08:00			`// This is generated by ESQL's AbstractFunctionTestCase. Do no edit it. See ../README.md for how to regenerate it.`
ESQL: Generate more docs (#106367) This modifies the ESQL test infrastructure to generate more of the documentation for functions. It generates the Description section, the Examples section, and the Parameters section as separate files so we can use them as needed. It also generates a `layout` file that's just a guess as to how to render the whole thing. In some cases it'll work and we can use that instead of hand maintaining a "top level" description file for the function. Most newly generated files are unused. We have to chose to pick them up by replacing the sections we were manually maintaining with an include of the generated section. Or by replacing the entire hand maintained file with the generated top level file. Relates to #104247 2024-03-20 03:40:13 +08:00
			`Description`

[ES\|QL] Add/Modify annotations for spatial and conditional functions for better doc generation (#107722) * annotation for spatial functions and conditional functions 2024-05-11 02:49:25 +08:00			`Returns the maximum value from multiple columns. This is similar to <<esql-mv_max>> except it is intended to run on multiple columns at once.`

			NOTE: When run on `keyword` or `text` fields, this returns the last string in alphabetical order. When run on `boolean` columns this will return `true` if any values are `true`.