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https://issues.apache.org/jira/browse/SOLR-3585?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14027908#comment-14027908
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Ted Sullivan edited comment on SOLR-3585 at 6/11/14 3:48 PM:
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Curious as to why this issue has not been picked up/scheduled for a release. I
am working with a client that is using DataImportHandler to connect to Oracle
and because of performance issues with the latter (vis Clobs) needs every speed
improvement that they can get. They have 5 parallel DIH handlers and that
helps. They recently installed this patch and report that they get a better
than 2X improvement (~50 minutes for a load compared to ~20 minutes with the
patch). Is there a reason why this submission has stalled? Given the removal of
multithreading in DIH, this seems to be a very good replacement option, and
since it is a UpdateRequestProcessor, it is of general use.
was (Author: tedsullivan):
Curious as to why this issue has not been picked up/scheduled for a release. I
am working with a client that is using DataImportHandler to connect to Oracle
and because of performance issues with the latter (vis Clobs) needs every speed
improvement that they can get. They have 5 parallel DIH handlers and that
helps. They recently installed this patch and report that they get a better
than 2X improvement (~50 minutes for a load compared to ~20 minutes with the
patch). Is there a reason why this submission has stalled? Given the removal of
multithreading in DIH, this seems to be a very good replacement option, and
since it is a UpdateRequestHandler, it is of general use.
> processing updates in multiple threads
> --------------------------------------
>
> Key: SOLR-3585
> URL: https://issues.apache.org/jira/browse/SOLR-3585
> Project: Solr
> Issue Type: Improvement
> Components: update
> Affects Versions: 4.0-ALPHA, 5.0
> Reporter: Mikhail Khludnev
> Attachments: SOLR-3585.patch, SOLR-3585.patch, multithreadupd.patch,
> report.tar.gz
>
>
> Hello,
> I'd like to contribute update processor which forks many threads which
> concurrently process the stream of commands. It may be beneficial for users
> who streams many docs through single request.
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