Apache
/
druid
mirror of https://github.com/apache/druid.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Docs: Include EARLIEST_BY and LATEST_BY as supported aggregation functions (#14280)

This commit is contained in:
Victoria Lim 2023-08-07 09:59:12 -07:00 committed by GitHub
parent 56ab81f381
commit 7d7813372a
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
docs/multi-stage-query/concepts.md
View File

@ -203,8 +203,8 @@ If you see the error "Encountered multi-value dimension `x` that cannot be proce
groupByEnableMultiValueUnnesting set to false", then wrap that column in `MV_TO_ARRAY(x) AS x`. groupByEnableMultiValueUnnesting set to false", then wrap that column in `MV_TO_ARRAY(x) AS x`.
The following [aggregation functions](../querying/sql-aggregations.md) are supported for rollup at ingestion time: The following [aggregation functions](../querying/sql-aggregations.md) are supported for rollup at ingestion time:
`COUNT` (but switch to `SUM` at query time), `SUM`, `MIN`, `MAX`, `EARLIEST` ([string only](known-issues.md#select-statement)), `COUNT` (but switch to `SUM` at query time), `SUM`, `MIN`, `MAX`, `EARLIEST` and `EARLIEST_BY` ([string only](known-issues.md#select-statement)),
`LATEST` ([string only](known-issues.md#select-statement)), `APPROX_COUNT_DISTINCT`, `APPROX_COUNT_DISTINCT_BUILTIN`, `LATEST` and `LATEST_BY` ([string only](known-issues.md#select-statement)), `APPROX_COUNT_DISTINCT`, `APPROX_COUNT_DISTINCT_BUILTIN`,
`APPROX_COUNT_DISTINCT_DS_HLL`, `APPROX_COUNT_DISTINCT_DS_THETA`, and `DS_QUANTILES_SKETCH` (but switch to `APPROX_COUNT_DISTINCT_DS_HLL`, `APPROX_COUNT_DISTINCT_DS_THETA`, and `DS_QUANTILES_SKETCH` (but switch to
`APPROX_QUANTILE_DS` at query time). Do not use `AVG`; instead, use `SUM` and `COUNT` at ingest time and compute the `APPROX_QUANTILE_DS` at query time). Do not use `AVG`; instead, use `SUM` and `COUNT` at ingest time and compute the
quotient at query time. quotient at query time.