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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 <kabhwan.opensou...@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 <kabhwan.opensou...@gmail.com> Signed-off-by: Jungtaek Lim <kabhwan.opensou...@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-unsubscr...@spark.apache.org For additional commands, e-mail: commits-h...@spark.apache.org