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Posted to commits@druid.apache.org by vi...@apache.org on 2023/05/15 16:30:32 UTC
[druid] branch vtlim-patch-1 created (now 599b0d52b8)
This is an automated email from the ASF dual-hosted git repository.
victoria pushed a change to branch vtlim-patch-1
in repository https://gitbox.apache.org/repos/asf/druid.git
at 599b0d52b8 include EARLIEST_BY and LATEST_BY
This branch includes the following new commits:
new 599b0d52b8 include EARLIEST_BY and LATEST_BY
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[druid] 01/01: include EARLIEST_BY and LATEST_BY
Posted by vi...@apache.org.
This is an automated email from the ASF dual-hosted git repository.
victoria pushed a commit to branch vtlim-patch-1
in repository https://gitbox.apache.org/repos/asf/druid.git
commit 599b0d52b8fde4de176b46135ea5d31e085adfb7
Author: Victoria Lim <vt...@users.noreply.github.com>
AuthorDate: Mon May 15 09:30:19 2023 -0700
include EARLIEST_BY and LATEST_BY
---
docs/multi-stage-query/concepts.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/docs/multi-stage-query/concepts.md b/docs/multi-stage-query/concepts.md
index 5eba824f2b..d325324952 100644
--- a/docs/multi-stage-query/concepts.md
+++ b/docs/multi-stage-query/concepts.md
@@ -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`.
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)),
-`LATEST` ([string only](known-issues.md#select-statement)), `APPROX_COUNT_DISTINCT`, `APPROX_COUNT_DISTINCT_BUILTIN`,
+`COUNT` (but switch to `SUM` at query time), `SUM`, `MIN`, `MAX`, `EARLIEST` and `EARLIEST_BY` ([string only](known-issues.md#select-statement)),
+`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_QUANTILE_DS` at query time). Do not use `AVG`; instead, use `SUM` and `COUNT` at ingest time and compute the
quotient at query time.
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