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https://issues.apache.org/jira/browse/SPARK-25293?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16602528#comment-16602528
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Hyukjin Kwon commented on SPARK-25293:
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[~omkar999], would you be able to test this and see if the issue still exists
in the upper Spark version?
> Dataframe write to csv saves part files in outputDireotry/task-xx/part-xxx
> instead of directly saving in outputDir
> ------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-25293
> URL: https://issues.apache.org/jira/browse/SPARK-25293
> Project: Spark
> Issue Type: Bug
> Components: EC2, Java API, Spark Shell, Spark Submit
> Affects Versions: 2.0.2
> Reporter: omkar puttagunta
> Priority: Major
>
> [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 on AWS EC2
> {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!!! Tried with Java also!*
> *_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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