Arnaud-Nauwynck opened a new pull request, #6378:
URL: https://github.com/apache/hadoop/pull/6378

   see 
[https://issues.apache.org/jira/browse/MAPREDUCE-7465](https://issues.apache.org/jira/browse/MAPREDUCE-7465)
   
   when commiting a big hadoop job (for example via Spark) having many 
partitions,
   the class FileOutputCommiter process thousands of dirs/files to rename with 
a single Thread. This is performance issue, caused by lot of waits on 
FileStystem storage operations.
   
   I propose that above a configurable threshold (default=3, configurable via 
property 'mapreduce.fileoutputcommitter.parallel.threshold'), the class 
FileOutputCommiter process the list of files to rename using parallel threads, 
using the default jvm ExecutorService (ForkJoinPool.commonPool())


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