hadoop-hive-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "He Yongqiang (JIRA)" <j...@apache.org>
Subject [jira] Updated: (HIVE-759) add hive.intermediate.compression.codec option
Date Sun, 16 Aug 2009 21:28:27 GMT

     [ https://issues.apache.org/jira/browse/HIVE-759?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

He Yongqiang updated HIVE-759:

    Attachment: hive-759-2009-08-17.patch

Only tested on my mac (lzo not loaded), should test on a Linux box.

> add hive.intermediate.compression.codec option
> ----------------------------------------------
>                 Key: HIVE-759
>                 URL: https://issues.apache.org/jira/browse/HIVE-759
>             Project: Hadoop Hive
>          Issue Type: Improvement
>          Components: Query Processor
>            Reporter: Zheng Shao
>         Attachments: hive-759-2009-08-17.patch
> Hive uses the jobconf compression codec for all map-reduce jobs. This includes both mapred.map.output.compression.codec
and mapred.output.compression.codec.
> In some cases, we want to distinguish between the codec used for intermediate map-reduce
jobs (that produces intermediate data between jobs) and the final map-reduce jobs (that produces
data stored in tables).
> For intermediate data, lzo might be a better fit because it's much faster; for final
data, gzip might be a better fit because it saves disk spaces.
> We should introduce two new options:
> {code}
> hive.intermediate.compression.codec=org.apache.hadoop.io.compress.LzoCodec
> hive.intermediate.compression.type=BLOCK
> {code}
> And use these 2 options to override the mapred.output.compression.* in the FileSinkOperator
that produces intermediate data.
> Note that it's possible that a single map-reduce job may have 2 FileSInkOperators: one
produces intermediate data, and one produces final data. So we need to add a flag to fileSinkDesc
for that.

This message is automatically generated by JIRA.
You can reply to this email to add a comment to the issue online.

View raw message