[jira] [Updated] (SPARK-52228) Introduce the benchmark setup (manual) for state interaction between TWS state server and Python process

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

     [ https://issues.apache.org/jira/browse/SPARK-52228?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

ASF GitHub Bot updated SPARK-52228:
-----------------------------------
    Labels: pull-request-available  (was: )

> Introduce the benchmark setup (manual) for state interaction between TWS state server and Python process
> --------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-52228
>                 URL: https://issues.apache.org/jira/browse/SPARK-52228
>             Project: Spark
>          Issue Type: Task
>          Components: PySpark, Structured Streaming
>    Affects Versions: 4.1.0
>            Reporter: Jungtaek Lim
>            Priority: Major
>              Labels: pull-request-available
>
> We found that state interactions happening in TWS PySpark between state server (in JVM) and Python worker are taking majority of time on the execution.
> We had been capturing the time via running E2E benchmark query and having debug log to drill down, but this requires a lot of bootstrapping work and adding debug log is a throwaway work.
> This ticket tracks the effort to come up with the approach to microbenchmark state interactions, to avoid constructing env and running E2E benchmark query to understand it.



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