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Jonathan Vexler closed HUDI-3775. --------------------------------- Resolution: Fixed > 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: Jonathan Vexler > Priority: Critical > Labels: easyfix, pull-request-available > Fix For: 0.14.0 > > Attachments: impressions.avro, run_stuff.txt, scala_commands.txt > > > 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. -- This message was sent by Atlassian Jira (v8.20.10#820010)