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https://issues.apache.org/jira/browse/SPARK-19112?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16000703#comment-16000703
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Thomas Graves commented on SPARK-19112:
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Execution time is definitely worse, did you get the compression ratio or disk
space used during these? How big were the intermediate files? I would think
someone would want to use this would be mostly interested in the space aspect
and keep the run time small while getting the higher compression.
> add codec for ZStandard
> -----------------------
>
> Key: SPARK-19112
> URL: https://issues.apache.org/jira/browse/SPARK-19112
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: Thomas Graves
> Priority: Minor
>
> ZStandard: https://github.com/facebook/zstd and
> http://facebook.github.io/zstd/ has been in use for a while now. v1.0 was
> recently released. Hadoop
> (https://issues.apache.org/jira/browse/HADOOP-13578) and others
> (https://issues.apache.org/jira/browse/KAFKA-4514) are adopting it.
> Zstd seems to give great results => Gzip level Compression with Lz4 level CPU.
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