Igor Dvorzhak created MAPREDUCE-7185:
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Summary: Parallelize part files move in FileOutputCommitter
Key: MAPREDUCE-7185
URL: https://issues.apache.org/jira/browse/MAPREDUCE-7185
Project: Hadoop Map/Reduce
Issue Type: Improvement
Affects Versions: 2.9.2, 3.2.0
Reporter: Igor Dvorzhak
Attachments: MAPREDUCE-7185.patch
If map task outputs multiple files it could be slow to move them from temp
directory to output directory in object stores.
To improve performance we need to parallelize move of more than 1 file in
FileOutputCommitter.
Repro:
Start spark-shell:
{code:bash}
spark-shell --num-executors 2 --executor-memory 10G --executor-cores 4 --conf
spark.dynamicAllocation.maxExecutors=2
{code}
>From spark-shell:
{code:scala}
val df = (1 to 10000).toList.toDF("value").withColumn("p", $"value" %
10).repartition(50)
df.write.partitionBy("p").mode("overwrite").format("parquet").options(Map("path"
-> s"gs://some/path")).saveAsTable("parquet_partitioned_bench")
{code}
With the fix execution time reduces from 130 seconds to 50 seconds.
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