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Posted to issues@flink.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2025/01/14 12:06:00 UTC
[jira] [Updated] (FLINK-5944) Flink should support reading Snappy Files
[ https://issues.apache.org/jira/browse/FLINK-5944?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated FLINK-5944:
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Labels: auto-deprioritized-major auto-deprioritized-minor auto-unassigned features pull-request-available (was: auto-deprioritized-major auto-deprioritized-minor auto-unassigned features)
> 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
> Priority: Not a Priority
> Labels: auto-deprioritized-major, auto-deprioritized-minor, auto-unassigned, features, pull-request-available
>
> 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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