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From "Doug Cutting (JIRA)" <j...@apache.org>
Subject [jira] Updated: (HADOOP-850) Add Writable implementations for variable-length integer types.
Date Wed, 03 Jan 2007 18:58:27 GMT

     [ https://issues.apache.org/jira/browse/HADOOP-850?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Doug Cutting updated HADOOP-850:
--------------------------------

    Resolution: Fixed
        Status: Resolved  (was: Patch Available)

I just committed this.  Thanks, Andrzej!


> Add Writable implementations for variable-length integer types.
> ---------------------------------------------------------------
>
>                 Key: HADOOP-850
>                 URL: https://issues.apache.org/jira/browse/HADOOP-850
>             Project: Hadoop
>          Issue Type: Improvement
>          Components: io
>    Affects Versions: 0.10.0
>            Reporter: Andrzej Bialecki 
>         Assigned To: Andrzej Bialecki 
>            Priority: Minor
>             Fix For: 0.10.0
>
>         Attachments: variable-ints.patch
>
>
> Currently Hadoop supports only three basic integer-like types: ByteWritable, IntWritable
and LongWritable. They provide a fixed tradeoff between their value range and on-disk space
consumption. But it is sometimes useful to be able to store integer values with broader allowed
range, but less space consumption when possible.
> This is especially useful when storing very long series of  values, combined with delta
encoding.
> Lucene already implements variable-length encoding for positive int and long. I propose
to add similar Writable implementations, which use the same encoding methods.

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