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https://issues.apache.org/jira/browse/SPARK-36681?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17615201#comment-17615201
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L. C. Hsieh commented on SPARK-36681:
-------------------------------------
This is fixed in 3.3.0 and later, yes, by upgrading to Hadoop 3.3.2.
As discussed above, there is no workaround in 3.2 for this issue.
If you are stick with 3.2, the only way is to upgrade to Hadoop 3.3.2 in Spark
3.2 source.
> Fail to load Snappy codec
> -------------------------
>
> Key: SPARK-36681
> URL: https://issues.apache.org/jira/browse/SPARK-36681
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.2.0
> Reporter: L. C. Hsieh
> Assignee: L. C. Hsieh
> Priority: Major
> Fix For: 3.3.0
>
>
> snappy-java as a native library should not be relocated in Hadoop shaded
> client libraries. Currently we use Hadoop shaded client libraries in Spark.
> If trying to use SnappyCodec to write sequence file, we will encounter the
> following error:
> {code}
> [info] Cause: java.lang.UnsatisfiedLinkError:
> org.apache.hadoop.shaded.org.xerial.snappy.SnappyNative.rawCompress(Ljava/nio/ByteBuffer;IILjava/nio/ByteBuffer;I)I
> [info] at
> org.apache.hadoop.shaded.org.xerial.snappy.SnappyNative.rawCompress(Native
> Method)
>
> [info] at
> org.apache.hadoop.shaded.org.xerial.snappy.Snappy.compress(Snappy.java:151)
>
>
> [info] at
> org.apache.hadoop.io.compress.snappy.SnappyCompressor.compressDirectBuf(SnappyCompressor.java:282)
> [info] at
> org.apache.hadoop.io.compress.snappy.SnappyCompressor.compress(SnappyCompressor.java:210)
> [info] at
> org.apache.hadoop.io.compress.BlockCompressorStream.compress(BlockCompressorStream.java:149)
> [info] at
> org.apache.hadoop.io.compress.BlockCompressorStream.finish(BlockCompressorStream.java:142)
> [info] at
> org.apache.hadoop.io.SequenceFile$BlockCompressWriter.writeBuffer(SequenceFile.java:1589)
>
> [info] at
> org.apache.hadoop.io.SequenceFile$BlockCompressWriter.sync(SequenceFile.java:1605)
> [info] at
> org.apache.hadoop.io.SequenceFile$BlockCompressWriter.close(SequenceFile.java:1629)
>
> {code}
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