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https://issues.apache.org/jira/browse/MINIFI-338?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16074991#comment-16074991
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ASF GitHub Bot commented on MINIFI-338:
---------------------------------------
GitHub user phrocker opened a pull request:
https://github.com/apache/nifi-minifi-cpp/pull/117
MINIFI-338: Convert processor threads to use thread pools
Thank you for submitting a contribution to Apache NiFi - MiNiFi C++.
In order to streamline the review of the contribution we ask you
to ensure the following steps have been taken:
### For all changes:
- [ ] Is there a JIRA ticket associated with this PR? Is it referenced
in the commit message?
- [ ] Does your PR title start with MINIFI-XXXX where XXXX is the JIRA
number you are trying to resolve? Pay particular attention to the hyphen "-"
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### Note:
Please ensure that once the PR is submitted, you check travis-ci for build
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You can merge this pull request into a Git repository by running:
$ git pull https://github.com/phrocker/nifi-minifi-cpp MINIFI-338
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/nifi-minifi-cpp/pull/117.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 #117
----
commit 3388c068429b08bbb2995184f236a3a451a78dc7
Author: Marc Parisi <[email protected]>
Date: 2017-06-30T14:05:15Z
MINIFI-338: Convert processor threads to use thread pools
----
> Threads can be unbounded per flow configuration
> -----------------------------------------------
>
> Key: MINIFI-338
> URL: https://issues.apache.org/jira/browse/MINIFI-338
> Project: Apache NiFi MiNiFi
> Issue Type: Bug
> Components: C++
> Reporter: marco polo
> Assignee: marco polo
>
> The number of tasks configured by a given processor should be bounded by a
> thread pool configuration. Currently the schedulers have no concept of a
> thread pool except for the component life cycle thread pool. We should
> transition the tasks to a thread pool shared by the scheduler and is globally
> configurable to better minimize the impact of processors.
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