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Posted to dev@ode.apache.org by "Sean Ahn (JIRA)" <ji...@apache.org> on 2009/08/03 18:49:14 UTC
[jira] Commented: (ODE-641) Hibernate DAO delete instances queries
optimization
[ https://issues.apache.org/jira/browse/ODE-641?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12738425#action_12738425 ]
Sean Ahn commented on ODE-641:
------------------------------
Thanks, Rafal,
I was thinking of doing some optimizations on the queries; queries around the large_data table are problematic.
Let me know if you found any other bottlenecks and thanks for taking care of this one.
> Hibernate DAO delete instances queries optimization
> ---------------------------------------------------
>
> Key: ODE-641
> URL: https://issues.apache.org/jira/browse/ODE-641
> Project: ODE
> Issue Type: Improvement
> Components: BPEL Runtime
> Affects Versions: 1.3.2
> Reporter: Rafal Rusin
> Assignee: Rafal Rusin
> Fix For: 1.3.3
>
> Attachments: ode1x_indexes.sql
>
>
> I saw that queries like:
> select id from HMessage as m WHERE m.messageExchange IN(select e from HMessageExchange e where e.instance in (:instances))
> are poorly optimized by MySQL.
> Changing them to:
> select m.id from HMessage m, HMessageExchange mex WHERE m.messageExchange = mex and mex.instance in (:instances)
> makes them faster by order of magnitude.
> I used indexes from attachment.
> Oracle seems to handle them well, however it has problems with "or" queries like this:
> "SELECT_MEX_LDATA_IDS_BY_INSTANCES" query="select id from HLargeData as d where d in(select e.endpoint from HMessageExchange as e where e.instance in (:instances)) or d IN(select e.
> callbackEndpoint from HMessageExchange as e where e.instance in (:instances))"
> So I divided "or" queries into 2 separate queries.
> I prepared a patch, which I tested on standalone cleanup application (using ProcessDaoImpl.deleteInstances(a single instance) ) and I got a following speedup on 3500 instances:
> mysql:
> without patch 2000 ms
> patched 40 ms
> oracle:
> without patch 2000 ms
> patched 75 ms
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