HeartSaVioR commented on pull request #31471:
URL: https://github.com/apache/spark/pull/31471#issuecomment-773744959


   Actually I have been thinking about this - while I think this helps to track 
down the elapsed time on committing job, there's still another problem end 
users confuse the huge delay of commit job with being stuck unless they took 
the stack trace. Unfortunately Hadoop layer leaves log messages with DEBUG 
level, hence no log message may be written during commit phase. (I've added 
latency information on DEBUG log message in Hadoop side via MAPREDUCE-7317, but 
will be available in 3.3.1+ and the log level is still DEBUG.)
   
   Probably we'd need to print out some informative log message during commit 
phase periodically - not sure where is the right place to fix, Hadoop vs Spark.


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