[jira] [Commented] (SPARK-38275) Consider to include WriteBatch's memory in the memory usage of RocksDB state store

["Apache Spark (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-38275?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17495481#comment-17495481 ] 

Apache Spark commented on SPARK-38275:
--------------------------------------

User 'Myasuka' has created a pull request for this issue:
https://github.com/apache/spark/pull/35600

> Consider to include WriteBatch's memory in the memory usage of RocksDB state store
> ----------------------------------------------------------------------------------
>
>                 Key: SPARK-38275
>                 URL: https://issues.apache.org/jira/browse/SPARK-38275
>             Project: Spark
>          Issue Type: Bug
>          Components: Structured Streaming
>    Affects Versions: 3.2.1
>            Reporter: Yun Tang
>            Priority: Major
>
> Current RocksDB state store actually use a unlimited {{WriteBatch}} with a DB, the {{WriteBatch}} would not be cleared until the micro-batch data committed, which results that the memoy usage of {{WriteBatch}} could be very huge.
> We should consider to add the approximate memory usgae of WriteBatch as the totdal memory usage and also print it separately.



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