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Posted to notifications@asterixdb.apache.org by "ASF subversion and git services (JIRA)" <ji...@apache.org> on 2018/11/01 18:11:00 UTC
[jira] [Commented] (ASTERIXDB-2286) Parallel Sort Optimization
[ https://issues.apache.org/jira/browse/ASTERIXDB-2286?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16671952#comment-16671952 ]
ASF subversion and git services commented on ASTERIXDB-2286:
------------------------------------------------------------
Commit 654474692dd19dd42e0b9efcc8209d05a8c41b2e in asterixdb's branch refs/heads/master from [~alsuliman]
[ https://git-wip-us.apache.org/repos/asf?p=asterixdb.git;h=6544746 ]
[ASTERIXDB-2286][COMP] Parallel sort changes p.2
- user model changes: no
- storage format changes: no
- interface changes: no
details:
This patch is change the way the SequentialMergeExchangePOperator
connector computes its local property instead of blindly
propagating the child's local property.
The patch also includes minor code clean-ups (moved some methods down)
Change-Id: Ie37e03b6fc6e55fc21f8324c0f09a7fa05b51769
Reviewed-on: https://asterix-gerrit.ics.uci.edu/3005
Integration-Tests: Jenkins <je...@fulliautomatix.ics.uci.edu>
Tested-by: Jenkins <je...@fulliautomatix.ics.uci.edu>
Contrib: Jenkins <je...@fulliautomatix.ics.uci.edu>
Reviewed-by: Dmitry Lychagin <dm...@couchbase.com>
> Parallel Sort Optimization
> --------------------------
>
> Key: ASTERIXDB-2286
> URL: https://issues.apache.org/jira/browse/ASTERIXDB-2286
> Project: Apache AsterixDB
> Issue Type: Improvement
> Components: COMP - Compiler, FUN - Functions, HYR - Hyracks
> Reporter: Ali Alsuliman
> Assignee: Ali Alsuliman
> Priority: Major
> Labels: triaged
>
> The current plan for queries with ORDER BY clauses consists of two phases; sorting the data locally in each partition and then sort-merging the data in one single partition. Even though the local sort happens in parallel, this effort is wasted by the fact that the merge is happening at one partition. It is desired to remove the merge step and do a true parallel sort where data is range-partitioned across the cluster.
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