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From "Ilya Ganelin (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (FLINK-5944) Flink should support reading Snappy Files
Date Wed, 01 Mar 2017 19:53:45 GMT

     [ https://issues.apache.org/jira/browse/FLINK-5944?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Ilya Ganelin updated FLINK-5944:
--------------------------------
    Description: 
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). 

  was:
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. 


> Flink should support reading Snappy Files
> -----------------------------------------
>
>                 Key: FLINK-5944
>                 URL: https://issues.apache.org/jira/browse/FLINK-5944
>             Project: Flink
>          Issue Type: New Feature
>            Reporter: Ilya Ganelin
>              Labels: features
>
> 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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