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Posted to commits@beam.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/10/26 21:44:58 UTC
[jira] [Commented] (BEAM-839) The DirectRunner slows down
significantly as the number of keys increases
[ https://issues.apache.org/jira/browse/BEAM-839?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15609775#comment-15609775 ]
ASF GitHub Bot commented on BEAM-839:
-------------------------------------
GitHub user tgroh opened a pull request:
https://github.com/apache/incubator-beam/pull/1196
[BEAM-839] Use a Constant TupleTag in GroupAlsoByWindowEvaluator
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---
This avoids the cost of generating a random ID, which is moderately
expensive.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/tgroh/incubator-beam single_main_output_gabw
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-beam/pull/1196.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #1196
----
commit 3fb939258908ddc2dfce03286f64521cf9ef8841
Author: Thomas Groh <tg...@google.com>
Date: 2016-10-26T21:31:41Z
Use a Constant TupleTag in GroupAlsoByWindowEvaluator
This avoids the cost of generating a random ID, which is moderately
expensive.
----
> The DirectRunner slows down significantly as the number of keys increases
> -------------------------------------------------------------------------
>
> Key: BEAM-839
> URL: https://issues.apache.org/jira/browse/BEAM-839
> Project: Beam
> Issue Type: Bug
> Reporter: Thomas Groh
> Assignee: Thomas Groh
>
> For example, running WordCount on KingLear takes approximately 10 seconds, while running WordCount on all of Shakespeare takes approximately 5 minutes. Most of this time is spent with the transforms unable to make progress, as the time is spent updating the minimum hold.
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