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Posted to issues@spark.apache.org by "Jungtaek Lim (Jira)" <ji...@apache.org> on 2020/09/08 11:04:00 UTC
[jira] [Commented] (SPARK-32821) cannot group by with window in sql
sentence for structured streaming with watermark
[ https://issues.apache.org/jira/browse/SPARK-32821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17192138#comment-17192138 ]
Jungtaek Lim commented on SPARK-32821:
--------------------------------------
Let's leave the fix version field be empty - the field will be filled when the issue is resolved with specific patch.
It's a challenging work to bind all Dataset APIs with SQL statement, especially SS, given the fact Streaming SQL doesn't have a standard.
> cannot group by with window in sql sentence for structured streaming with watermark
> -----------------------------------------------------------------------------------
>
> Key: SPARK-32821
> URL: https://issues.apache.org/jira/browse/SPARK-32821
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 2.1.0, 2.2.0, 2.3.0, 2.4.0
> Reporter: Johnny Bai
> Priority: Major
>
> current only support dsl style as below:
> import spark.implicits._
> val words = ... // streaming DataFrame of schema { timestamp: Timestamp, word: String }
> // Group the data by window and word and compute the count of each group
> val windowedCounts = words.groupBy(window($"timestamp", "10 minutes", "5 minutes"),$"word").count()
>
> but not support group by with window in sql style as below:
> "select ts_field,count(\*) as cnt over window(ts_field, '1 minute', '1 minute') with watermark 1 minute from tableX group by ts_field"
>
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