danny0405 commented on code in PR #12789:
URL: https://github.com/apache/hudi/pull/12789#discussion_r1955490951
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hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/table/action/commit/BaseSparkCommitActionExecutor.java:
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@@ -161,13 +166,14 @@ public HoodieWriteMetadata<HoodieData<WriteStatus>>
execute(HoodieData<HoodieRec
HoodieData<HoodieRecord<T>> inputRecordsWithClusteringUpdate =
clusteringHandleUpdate(inputRecords);
context.setJobStatus(this.getClass().getSimpleName(), "Building workload
profile:" + config.getTableName());
- HoodieTimer sourceReadAndIndexTimer = HoodieTimer.start(); // time taken
from dedup -> tag location -> building workload profile
WorkloadProfile workloadProfile =
Review Comment:
Flink does not has the issue like lazy computation of Spark, so the timer
does not make much sense, I think this is also true for Java, maybe we revert
the changes for Flink and JAVA and just Spark as the minimum change
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