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https://issues.apache.org/jira/browse/FLINK-5944?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16182389#comment-16182389
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ASF GitHub Bot commented on FLINK-5944:
---------------------------------------
Github user aljoscha commented on a diff in the pull request:
https://github.com/apache/flink/pull/4683#discussion_r141312154
--- Diff: flink-core/pom.xml ---
@@ -52,6 +52,12 @@ under the License.
<artifactId>flink-shaded-asm</artifactId>
</dependency>
+ <dependency>
+ <groupId>org.apache.flink</groupId>
+ <artifactId>flink-shaded-hadoop2</artifactId>
+ <version>${project.version}</version>
+ </dependency>
--- End diff --
As of recently everything except the Hadoop compatibility package is free
from Hadoop dependencies. This should also stay like this so that we can
provide a Flink distribution without Hadoop dependencies because this was
causing problems for some users.
> 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: Batch Connectors and Input/Output Formats
> Reporter: Ilya Ganelin
> Assignee: Mikhail Lipkovich
> 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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