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From "omkar puttagunta (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-25292) Dataframe write to csv saves part files in outputDireotry/task-xx/part-xxx instead of directly saving in outputDir
Date Fri, 31 Aug 2018 04:45:00 GMT
omkar puttagunta created SPARK-25292:
----------------------------------------

             Summary: Dataframe write to csv saves part files in outputDireotry/task-xx/part-xxx
instead of directly saving in outputDir
                 Key: SPARK-25292
                 URL: https://issues.apache.org/jira/browse/SPARK-25292
             Project: Spark
          Issue Type: Bug
          Components: EC2, Java API, Spark Shell, Spark Submit
    Affects Versions: 2.0.2
            Reporter: omkar puttagunta


[https://stackoverflow.com/questions/52108335/why-spark-dataframe-writes-part-files-to-temporary-in-instead-directly-creating]
{quote}Running Spark 2.0.2 in Standalone Cluster Mode; 2 workers and 1 master node
{quote}
Simple Test; reading pipe delimited file and writing data to csv. Commands below are executed
in spark-shell with master-url set

{{val df = spark.sqlContext.read.option("delimiter","|").option("quote","\u0000").csv("/home/input-files/")
val emailDf=df.filter("_c3='EML'") emailDf.repartition(100).write.csv("/opt/outputFile/")}}

After executing the cmds above in spark-shell with master url set.
{quote}In {{worker1}} -> Each part file is created in{{/opt/outputFile/_temporary/task-xxxxx-xxx/part-xxx-xxx}}
In {{worker2}} -> {{/opt/outputFile/part-xxx}} => part files are generated directly
under outputDirectory specified during write.
{quote}
*Same thing happens with coalesce(100) or without specifying repartition/coalesce!!!*

*_Quesiton_*

1) why {{worker1}} {{/opt/outputFile/}} output directory doesn't have {{part-xxxx}} files
just like in {{worker2}}? why {{_temporary}} directory is created and {{part-xxx-xx}} files
reside in the {{task-xxx}}directories?



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