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https://issues.apache.org/jira/browse/SPARK-21276?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16149568#comment-16149568
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Apache Spark commented on SPARK-21276:
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User 'maropu' has created a pull request for this issue:
https://github.com/apache/spark/pull/18883
> Update lz4-java to remove custom LZ4BlockInputStream
> -----------------------------------------------------
>
> Key: SPARK-21276
> URL: https://issues.apache.org/jira/browse/SPARK-21276
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.1.1, 2.2.0
> Reporter: Takeshi Yamamuro
> Assignee: Takeshi Yamamuro
> Priority: Trivial
> Fix For: 2.3.0
>
>
> We currently use custom LZ4BlockInputStream to read concatenated byte stream
> in shuffle
> (https://github.com/apache/spark/blob/master/core/src/main/java/org/apache/spark/io/LZ4BlockInputStream.java#L38).
> In the recent pr (https://github.com/lz4/lz4-java/pull/105), this
> functionality is implemented even in lz4-java upstream. So, we might update
> the lz4-java package that will be released in near future.
> Issue about the next lz4-java release
> https://github.com/lz4/lz4-java/issues/98
> Diff between the latest release and the master in lz4-java
> https://github.com/lz4/lz4-java/compare/62f7547abb0819d1ca1e669645ee1a9d26cd60b0...6480bd9e06f92471bf400c16d4d5f3fd2afa3b3d
> * fixed NPE in XXHashFactory similarly
> * Don't place resources in default package to support shading
> * Fixes ByteBuffer methods failing to apply arrayOffset() for array-backed
> * Try to load lz4-java from java.library.path, then fallback to bundled
> * Add ppc64le binary
> * Add s390x JNI binding
> * Add basic LZ4 Frame v1.5.0 support
> * enable aarch64 support for lz4-java
> * Allow unsafeInstance() for ppc64le archiecture
> * Add unsafeInstance support for AArch64
> * Support 64-bit JNI build on Solaris
> * Avoid over-allocating a buffer
> * Allow EndMark to be incompressible for LZ4FrameInputStream.
> * Concat byte stream
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