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https://issues.apache.org/jira/browse/SPARK-16169?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Manish Kumar updated SPARK-16169:
---------------------------------
Description:
When a spark application is 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
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
{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.
was:
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:
> 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
>
> When a spark application is 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 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
> {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.
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