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https://issues.apache.org/jira/browse/FLINK-5944?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17334280#comment-17334280
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Flink Jira Bot commented on FLINK-5944:
---------------------------------------
This issue was marked "stale-assigned" and has not received an update in 7
days. It is now automatically unassigned. If you are still working on it, you
can assign it to yourself again. Please also give an update about the status of
the work.
> Flink should support reading Snappy Files
> -----------------------------------------
>
> Key: FLINK-5944
> URL: https://issues.apache.org/jira/browse/FLINK-5944
> Project: Flink
> Issue Type: New Feature
> Components: Connectors / Hadoop Compatibility
> Reporter: Ilya Ganelin
> Assignee: Mikhail Lipkovich
> Priority: Major
> Labels: features, stale-assigned
>
> Snappy is an extremely performant compression format that's widely used
> offering fast decompression/compression.
> This can be easily implemented by creating a SnappyInflaterInputStreamFactory
> and updating the initDefaultInflateInputStreamFactories in FileInputFormat.
> Flink already includes the Snappy dependency in the project.
> There is a minor gotcha in this. If we wish to use this with Hadoop, then we
> must provide two separate implementations since Hadoop uses a different
> version of the snappy format than Snappy Java (which is the xerial/snappy
> included in Flink).
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