[jira] [Comment Edited] (SPARK-32821) cannot group by with window in sql sentence for structured streaming with watermark

["Johnny Bai (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-32821?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17192563#comment-17192563 ] 

Johnny Bai edited comment on SPARK-32821 at 9/9/20, 1:45 AM:
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[~kabhwan] As structured streaming going, I think it is necessary to build a relative complete structured streaming SQL standard specification like the ANSI SQL standard


was (Author: johnny bai):
[~kabhwan] as structured streaming going, I think it is necessary to build a relative complete structured streaming SQL standard specification like the ANSI SQL 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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