[GitHub] [hudi] zhuanshenbsj1 commented on a diff in pull request #8505: [HUDI-6106] Spark offline compaction/Clustering Job will do clean like Flink job

[via GitHub]

zhuanshenbsj1 commented on code in PR #8505:
URL: https://github.com/apache/hudi/pull/8505#discussion_r1176051746


##########
hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/client/SparkRDDTableServiceClient.java:
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@@ -245,6 +246,7 @@ private void completeClustering(HoodieReplaceCommitMetadata 
metadata,
           metrics.updateCommitMetrics(parsedInstant.getTime(), durationInMs, 
metadata, HoodieActiveTimeline.REPLACE_COMMIT_ACTION)
       );
     }
+    waitForAsyncServiceCompletion();
     LOG.info("Clustering successfully on commit " + clusteringCommitTime);

Review Comment:
   Without this change，if config ASYNC_CLEAN = true，AsyncCleanerService will be 
used to do clean in offline job . 
   
![image](https://user-images.githubusercontent.com/34104400/234192874-e369bead-cc4a-4c8e-ab0a-c4791c8bd0ef.png)
   In my unit testing for offline job，if the completion time of the 
compact/cluster job is earlier than the completion time of the sync-cleaning 
job, function BaseHoodieTableServiceClient.close() will force the 
asunc-cleaning job to be closed.
   <img width="372" alt="d0570721dc3b1983191e5451751c1815" 
src="https://user-images.githubusercontent.com/34104400/234192499-dabdbd5f-8df8-476f-9812-72151e5d6873.png";>
   
   So I added this wait and made the entire task wait for clean to complete 
before smoothly exiting.



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