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| 1. ***Compaction Scheduling***: This is done by the ingestion job. In this step, Hudi scans the partitions and selects **file | ||
| slices** to be compacted. A compaction plan is finally written to Hudi timeline. | ||
| 1. ***Compaction Execution***: A separate process reads the compaction plan and performs compaction of file slices. | ||
| 1. ***Compaction Execution***: In this step the compaction plan is read and file slices are compacted. |
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These seem like already merged changes not relavant to this PR. Can you ensure you have rebased from apache/hudi ?
bhasudha
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May 17, 2022
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| That said, for obvious reasons of not blocking ingesting for compaction, you may want to run it asynchronously as well. This can be done either via a separate [compaction job](https://github.com/apache/hudi/blob/master/hudi-utilities/src/main/java/org/apache/hudi/utilities/HoodieCompactor.java) that is scheduled by your workflow scheduler/notebook independently. If you are using delta streamer, then you can run in [continuous mode](https://github.com/apache/hudi/blob/d3edac4612bde2fa9deca9536801dbc48961fb95/hudi-utilities/src/main/java/org/apache/hudi/utilities/deltastreamer/HoodieDeltaStreamer.java#L241) where the ingestion and compaction are both managed concurrently in a single spark run time. | ||
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| ### What options do I have for asynchronous/offline compactions on MOR dataset? |
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