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https://issues.apache.org/jira/browse/HUDI-3775?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rajesh reassigned HUDI-3775:
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Assignee: Rajesh
> Allow for offline compaction of MOR tables via spark streaming
> --------------------------------------------------------------
>
> Key: HUDI-3775
> URL: https://issues.apache.org/jira/browse/HUDI-3775
> Project: Apache Hudi
> Issue Type: Improvement
> Components: compaction, spark
> Reporter: Rajesh
> Assignee: Rajesh
> Priority: Major
> Labels: easyfix
>
> Currently there is no way to avoid compaction taking up a lot of resources
> when run inline or async for MOR tables via Spark Streaming. Delta Streamer
> has ways to assign resources between ingestion and async compaction but Spark
> Streaming does not have that option.
> Introducing a flag to turn off automatic compaction and allowing users to run
> compaction in a separate process will decouple both concerns.
> This will also allow the users to size the cluster just for ingestion and
> deal with compaction separate without blocking. We will need to look into
> documenting best practices for running offline compaction.
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