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https://issues.apache.org/jira/browse/HADOOP-11514?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14295813#comment-14295813
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Zhe Zhang commented on HADOOP-11514:
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bq. In fact whole ECChunk class itself is unnecessary in Common, as this is
specific to 'striped' design of the erasure encoding
bq. ECChunk can be converted 'ByteBuffer' before passing to encode()/decode()
of RawEncoder/RawDecoder in higher levels.
Good point. Conceptually, the EC code under Common should only focus on
arithmetic calculations. _Always converting to ByteBuffer_ is also a simple
rule to follow before calling codec functions.
> Raw Erasure Coder API for concrete encoding and decoding
> --------------------------------------------------------
>
> Key: HADOOP-11514
> URL: https://issues.apache.org/jira/browse/HADOOP-11514
> Project: Hadoop Common
> Issue Type: Sub-task
> Affects Versions: HDFS-EC
> Reporter: Kai Zheng
> Assignee: Kai Zheng
> Attachments: HDFS-7353-v1.patch, HDFS-7353-v2.patch,
> HDFS-7353-v3.patch, HDFS-7353-v4.patch, HDFS-7353-v5.patch,
> HDFS-7353-v6.patch, HDFS-7353-v7.patch
>
>
> This is to abstract and define raw erasure coder API across different codes
> algorithms like RS, XOR and etc. Such API can be implemented by utilizing
> various library support, such as Intel ISA library and Jerasure library.
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