[jira] Updated: (HADOOP-3562) StreamXMLRecordReader does not support gzipped files

["Owen O'Malley (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/HADOOP-3562?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Owen O'Malley updated HADOOP-3562:
----------------------------------

    Status: Open  (was: Patch Available)

I'd forgotten what a mess the streaming input format stuff is. *Sigh*

Changing the signature of the constructors is a problem, because it isn't backward compatible if other people are defining their own StreamBaseRecordReader's, the StreamInputFormat won't find their constructor. *Heavy sigh*

I'd suggest keeping the input stream handles separate from each other.

{code}
InputStream in_ = the decompressed stream
FSDataInputStream underlying = the underlying stream
{code}

so for uncompressed streams they are the same, but for compressed streams they are different from each other. If you switch over to using the underlying stream for the position stuff, I believe it will remove the need for ignoreEnd, which is dangerous if there was a splittable compressed format.



> StreamXMLRecordReader does not support gzipped files
> ----------------------------------------------------
>
>                 Key: HADOOP-3562
>                 URL: https://issues.apache.org/jira/browse/HADOOP-3562
>             Project: Hadoop Core
>          Issue Type: Bug
>          Components: contrib/streaming
>    Affects Versions: 0.17.0
>            Reporter: Bo Adler
>            Assignee: Bo Adler
>             Fix For: 0.19.0
>
>         Attachments: 0001-test-to-demonstrate-problem.patch, 0002-support-for-gzip-d-xml-records.patch, HADOOP-3562.combined.patch, HADOOP-3562.combined.patch
>
>
> I am using Hadoop Streaming to analyze Wikipedia data files, which are in XML format and are compressed because they are so large.  While doing some preliminary tests, I discovered that you cannot use StreamXMLRecordReader with gzipped data files -- the data is fed into the mapper script as raw data.

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