[jira] [Resolved] (SPARK-19046) Dataset checkpoint consumes too much disk space

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-19046?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-19046.
----------------------------------
    Resolution: Incomplete

> Dataset checkpoint consumes too much disk space
> -----------------------------------------------
>
>                 Key: SPARK-19046
>                 URL: https://issues.apache.org/jira/browse/SPARK-19046
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Assaf Mendelson
>            Priority: Minor
>              Labels: bulk-closed
>
> Consider the following simple example:
> val df = spark.range(100000000)
> df.cache()
> df.count()
> df.checkpoint()
> df.write.parquet("/test1")
> Looking at the storage tab of the UI, the dataframe takes 97.5 MB. 
> Looking at the checkpoint directory, the checkpoint takes 3.3GB (33 times larger!)
> Looking at the parquet directory, the dataframe takes 386MB
> Similar behavior can be seen on less synthetic examples.



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