You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@spark.apache.org by ka...@apache.org on 2023/02/28 03:54:51 UTC
[spark] branch master updated: [SPARK-42592][SS][DOCS][FOLLOWUP] Add missed commit on reflecting review comment
This is an automated email from the ASF dual-hosted git repository.
kabhwan pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/spark.git
The following commit(s) were added to refs/heads/master by this push:
new c3347aee976 [SPARK-42592][SS][DOCS][FOLLOWUP] Add missed commit on reflecting review comment
c3347aee976 is described below
commit c3347aee9765b4eb4f12e69d21dda8132744366f
Author: Jungtaek Lim <ka...@gmail.com>
AuthorDate: Tue Feb 28 12:54:36 2023 +0900
[SPARK-42592][SS][DOCS][FOLLOWUP] Add missed commit on reflecting review comment
### What changes were proposed in this pull request?
This PR addressed missed commit on reflecting review comment (https://github.com/apache/spark/pull/40188#discussion_r1119055652) from previous PR #40188.
### Why are the changes needed?
Previously pushed commit didn't reflect all review comments.
### Does this PR introduce _any_ user-facing change?
Yes, documentation.
### How was this patch tested?
N/A.
Closes #40208 from HeartSaVioR/SPARK-42592-follow-up.
Authored-by: Jungtaek Lim <ka...@gmail.com>
Signed-off-by: Jungtaek Lim <ka...@gmail.com>
---
docs/structured-streaming-programming-guide.md | 2 +-
1 file changed, 1 insertion(+), 1 deletion(-)
diff --git a/docs/structured-streaming-programming-guide.md b/docs/structured-streaming-programming-guide.md
index a9545d516fb..206b887ae74 100644
--- a/docs/structured-streaming-programming-guide.md
+++ b/docs/structured-streaming-programming-guide.md
@@ -1306,7 +1306,7 @@ anotherWindowedCounts = windowedCounts.groupBy(
</div>
</div>
-`window` function does not only take timestamp column, but also take the time window column. This is very useful for cases where users want to apply chained time window aggregations.
+`window` function does not only take timestamp column, but also take the time window column. This is specifically useful for cases where users want to apply chained time window aggregations.
<div class="codetabs">
<div data-lang="scala" markdown="1">
---------------------------------------------------------------------
To unsubscribe, e-mail: commits-unsubscribe@spark.apache.org
For additional commands, e-mail: commits-help@spark.apache.org