You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Johnny Bai (Jira)" <ji...@apache.org> on 2020/09/08 10:18:00 UTC

[jira] [Updated] (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:all-tabpanel ]

Johnny Bai updated SPARK-32821:
-------------------------------
    Description: 
 <pre>

 

{{{{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(*) over window(ts_field, '1 minute', '1 minute') with watermark 1 minute from tableX group by ts_field"}}

</pre>

  was:
 

{{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(*) over window(ts_field, '1 minute', '1 minute') with watermark 1 minute from tableX group by ts_field"}}

{{}}


> 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: 3.0.0
>            Reporter: Johnny Bai
>            Priority: Major
>             Fix For: 3.0.1
>
>
>  <pre>
>  
> {{{{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(*) over window(ts_field, '1 minute', '1 minute') with watermark 1 minute from tableX group by ts_field"}}
> </pre>



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org