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https://issues.apache.org/jira/browse/NIFI-4911?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Mark Owens reassigned NIFI-4911:
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Assignee: Mark Owens
> NiFi CompressContent Snappy incompatible behavior with Spark
> ------------------------------------------------------------
>
> Key: NIFI-4911
> URL: https://issues.apache.org/jira/browse/NIFI-4911
> Project: Apache NiFi
> Issue Type: Bug
> Affects Versions: 1.2.0
> Environment: HDF 3.0.2 running on Centos
> Reporter: Nabeel Sarwar
> Assignee: Mark Owens
> Priority: Major
>
> The CompressContent processor uses the SnappyOutputStream class from
> snappy-java project. As listed on
> [https://github.com/xerial/snappy-java|https://github.com/xerial/snappy-java,]
> this output will be incompatible with
> org.apache.hadoop.io.compress.SnappyCodec used for default in spark. When you
> try to read snappy files produced by this processor from Spark, you will get
> an empty dataframe.
> One can deal with the data in Spark by using the SnappyInputStream on the raw
> files and not dealing with the SnappyCodec in spark, but it is not obvious at
> first glance why the default doesn't work.
> Is there a way to add HadoopCompatibleSnappy as an option like Snappy Framed
> is offered?
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