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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