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https://issues.apache.org/jira/browse/SPARK-16333?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15358508#comment-15358508
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Sean Owen commented on SPARK-16333:
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No, I'm asking you to take a look at both files, and what is logged in each,
because you say they represent events from the exact same program and exact
same input, right? and see what is logged in one vs the other, and
qualitatively compare. If one has 200x more data than the other, what's the
nature of the before and after data?
> Excessive Spark history event/json data size (5GB each)
> -------------------------------------------------------
>
> Key: SPARK-16333
> URL: https://issues.apache.org/jira/browse/SPARK-16333
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 2.0.0
> Environment: this is seen on both x86 (Intel(R) Xeon(R), E5-2699 )
> and ppc platform (Habanero, Model: 8348-21C), Red Hat Enterprise Linux Server
> release 7.2 (Maipo)., Spark2.0.0-preview (May-24, 2016 build)
> Reporter: Peter Liu
> Labels: performance, spark2.0.0
>
> With Spark2.0.0-preview (May-24 build), the history event data (the json
> file), that is generated for each Spark application run (see below), can be
> as big as 5GB (instead of 14 MB for exactly the same application run and the
> same input data of 1TB under Spark1.6.1)
> -rwxrwx--- 1 root root 5.3G Jun 30 09:39 app-20160630091959-0000
> -rwxrwx--- 1 root root 5.3G Jun 30 09:56 app-20160630094213-0000
> -rwxrwx--- 1 root root 5.3G Jun 30 10:13 app-20160630095856-0000
> -rwxrwx--- 1 root root 5.3G Jun 30 10:30 app-20160630101556-0000
> The test is done with Sparkbench V2, SQL RDD (see github:
> https://github.com/SparkTC/spark-bench)
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