Manish Kumar created SPARK-16169:
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             Summary: 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


When, a spark application written in scala trying to save intermediate 
dataframe, the application is taking processing almost 5 times. 

Although the spark-UI clearly shows that all stages are completed but the spark 
apllication remains in running status.

Below is the command for saving intermediate output and than using the 
dataframe.

{noformat}
saveDataFrame(flushPath, flushFormat, isCoalesce, flushMode, previousDataFrame, 
sqlContext)
previousDataFrame
{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. 

Also there is some issue with SPARK UI. Please see below:





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