[jira] [Resolved] (SPARK-16169) Saving Intermediate dataframe increasing processing time upto 5 times.

["Sean Owen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16169?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-16169.
-------------------------------
    Resolution: Not A Problem

> Saving Intermediate dataframe increasing processing time upto 5 times.
> ----------------------------------------------------------------------
>
>                 Key: SPARK-16169
>                 URL: https://issues.apache.org/jira/browse/SPARK-16169
>             Project: Spark
>          Issue Type: Question
>          Components: Spark Submit, Web UI
>    Affects Versions: 1.6.1
>         Environment: Amazon EMR
>            Reporter: Manish Kumar
>              Labels: performance
>         Attachments: Spark-UI.png
>
>
> When a spark application is (written in scala) trying to save intermediate dataframe, the application is taking processing time almost 5 times. 
> Although the spark-UI clearly shows that all jobs are completed but the spark application remains in running status.
> Below is the command for saving the intermediate output and then using the dataframe.
> {noformat}
> saveDataFrame(flushPath, flushFormat, isCoalesce, flushMode, previousDataFrame, sqlContext)
> previousDataFrame.count
> {noformat}
> Here, previousDataFrame is the result of the last step and saveDataFrame is just saving the DataFrame as given location, then the previousDataFrame will be used by next steps/transformation. 
> Below is the spark UI screenshot which shows jobs completed although some task inside it are neither completed nor skipped.
> !Spark-UI.png!



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