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From "Johnny Bai (Jira)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-32821) cannot group by with window in sql statement for structured streaming with watermark
Date Wed, 09 Sep 2020 02:14:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-32821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17192573#comment-17192573
] 

Johnny Bai commented on SPARK-32821:
------------------------------------

Let's take a discussion about watermark with window grammar in the SQL statement, and I would
like  to implement it.

> cannot group by with window in sql statement 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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