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Posted to issues@hive.apache.org by "Takuya Fukudome (JIRA)" <ji...@apache.org> on 2015/08/14 12:47:47 UTC
[jira] [Commented] (HIVE-11525) Bucket pruning
[ https://issues.apache.org/jira/browse/HIVE-11525?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14696853#comment-14696853 ]
Takuya Fukudome commented on HIVE-11525:
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Hi [~sershe] and [~mkoc],
I wont to work on this jira. Could you assign to me? Thank you.
> Bucket pruning
> --------------
>
> Key: HIVE-11525
> URL: https://issues.apache.org/jira/browse/HIVE-11525
> Project: Hive
> Issue Type: Improvement
> Components: Logical Optimizer
> Affects Versions: 0.13.0, 0.14.0, 0.13.1, 1.0.0, 1.1.0
> Reporter: Maciek Kocon
> Labels: gsoc2015
>
> Logically and functionally bucketing and partitioning are quite similar - both provide mechanism to segregate and separate the table's data based on its content. Thanks to that significant further optimisations like [partition] PRUNING or [bucket] MAP JOIN are possible.
> The difference seems to be imposed by design where the PARTITIONing is open/explicit while BUCKETing is discrete/implicit.
> Partitioning seems to be very common if not a standard feature in all current RDBMS while BUCKETING seems to be HIVE specific only.
> In a way BUCKETING could be also called by "hashing" or simply "IMPLICIT PARTITIONING".
> Regardless of the fact that these two are recognised as two separate features available in Hive there should be nothing to prevent leveraging same existing query/join optimisations across the two.
> BUCKET pruning
> Enable partition PRUNING equivalent optimisation for queries on BUCKETED tables
> Simplest example is for queries like:
> "SELECT … FROM x WHERE colA=123123"
> to read only the relevant bucket file rather than all file-buckets that belong to a table.
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