[jira] [Commented] (HIVE-1332) Archiving partitions

["Steven Wong (Commented) (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/HIVE-1332?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13133587#comment-13133587 ] 

Steven Wong commented on HIVE-1332:
-----------------------------------

If an archive operation runs when a select query is already running, the select may fail, right?
                
> Archiving partitions
> --------------------
>
>                 Key: HIVE-1332
>                 URL: https://issues.apache.org/jira/browse/HIVE-1332
>             Project: Hive
>          Issue Type: New Feature
>          Components: Metastore
>            Reporter: Paul Yang
>            Assignee: Paul Yang
>             Fix For: 0.6.0
>
>         Attachments: HIVE-1332.1.patch, HIVE-1332.2.patch, HIVE-1332.3.patch, HIVE-1332.4.patch, HIVE-1332.5.patch, HIVE-1332.6.patch
>
>
> Partitions and tables in Hive typically consist of many files on HDFS. An issue is that as the number of files increase, there will be higher memory/load requirements on the namenode. Partitions in bucketed tables are a particular problem because they consist of many files, one for each of the buckets.
> One way to drastically reduce the number of files is to use hadoop archives:
> http://hadoop.apache.org/common/docs/current/hadoop_archives.html
> This feature would introduce an ALTER TABLE <table_name> ARCHIVE PARTITION <spec> that would automatically put the files for the partition into a HAR file. We would also have an UNARCHIVE option to convert the files in the partition back to the original files. Archived partitions would be slower to access, but they would have the same functionality and decrease the number of files drastically. Typically, only seldom accessed partitions would be archived.
> Hadoop archives are still somewhat new, so we'll only put in support for the latest released major version (0.20). Here are some bug fixes:
> https://issues.apache.org/jira/browse/HADOOP-6591 (Important - could potentially cause data loss without this fix)
> https://issues.apache.org/jira/browse/HADOOP-6645
> https://issues.apache.org/jira/browse/MAPREDUCE-1585

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