HeartSaVioR edited a comment 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 (sometimes hours) 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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