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https://issues.apache.org/jira/browse/SPARK-19525?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15872441#comment-15872441
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Aaditya Ramesh commented on SPARK-19525:
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[~zsxwing] Actually, we are compressing the data in the RDDs, not the streaming
metadata. We compress all records in a partition together and write them to our
DFS. In our case, the snappy-compressed size of each RDD partition is around 18
MB, with 84 partitions, for a total of 1.5 GB per RDD.
> Enable Compression of Spark Streaming Checkpoints
> -------------------------------------------------
>
> Key: SPARK-19525
> URL: https://issues.apache.org/jira/browse/SPARK-19525
> Project: Spark
> Issue Type: Improvement
> Components: Structured Streaming
> Affects Versions: 2.1.0
> Reporter: Aaditya Ramesh
>
> In our testing, compressing partitions while writing them to checkpoints on
> HDFS using snappy helped performance significantly while also reducing the
> variability of the checkpointing operation. In our tests, checkpointing time
> was reduced by 3X, and variability was reduced by 2X for data sets of
> compressed size approximately 1 GB.
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