[jira] [Updated] (SPARK-48481) OptimizeOneRowPlan should not be effective for streaming DataFrame

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-48481?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated SPARK-48481:
-----------------------------------
    Labels: pull-request-available  (was: )

> OptimizeOneRowPlan should not be effective for streaming DataFrame
> ------------------------------------------------------------------
>
>                 Key: SPARK-48481
>                 URL: https://issues.apache.org/jira/browse/SPARK-48481
>             Project: Spark
>          Issue Type: Bug
>          Components: Optimizer, Structured Streaming
>    Affects Versions: 4.0.0, 3.5.2, 3.4.4
>            Reporter: Jungtaek Lim
>            Priority: Major
>              Labels: pull-request-available
>
> This bug is introduce from Apache Spark 3.3.0.
> OptimizeOneRowPlan aggressively rewrites operators or removes operators if the rule figures out that the operator has a chance to be optimized with the stats that there will be max 1 row in the input.
> This is problematic for streaming, because we aren't seeing the whole data but a part of data in the current microbatch and optimizer is not aware of this.
> There are various viable approaches to deal with, but maybe fixing the rule to disable this effectively with streaming DataFrame would have least effect.
> (There is a separate wider effort to achieve better stability between QO and streaming. Since it would take a considerable time, we still need point fixes during the time.)



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

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