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https://issues.apache.org/jira/browse/SAMZA-220?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Chris Riccomini updated SAMZA-220:
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Attachment: SAMZA-220.4.patch
Attaching patch with ASF headers for two new classes.
> SystemConsumers is slow when consuming from a large number of partitions
> ------------------------------------------------------------------------
>
> Key: SAMZA-220
> URL: https://issues.apache.org/jira/browse/SAMZA-220
> Project: Samza
> Issue Type: Bug
> Components: container
> Affects Versions: 0.6.0
> Reporter: Chris Riccomini
> Assignee: Chris Riccomini
> Attachments: SAMZA-220.0.patch, SAMZA-220.1.patch, SAMZA-220.2.patch,
> SAMZA-220.3.patch, SAMZA-220.4.patch, with-SAMZA-220.2.png,
> without-SAMZA-220.2.png
>
>
> We have observed poor throughput when a SamzaContainer is consuming many
> partitions (100s). The more partitions, the worse the performance gets.
> When hooking up VisualVM, two operations take up more than 65% of the CPU in
> SystemConsumers:
> {code}
> refresh.maybeCall()
> updateMessageChooser
> {code}
> The problem is that we run each of these operations once before every
> process() call to a StreamTask. Both of these operations iterate over *all*
> SystemStreamPartitions that the SystemConsumers is consuming from. If you
> have hundreds of partitions, it means you do two loops of 100+ items for
> every message you process. This is true even if the SystemConsumers buffer
> has a lot of messages (10,000+), and also true even if most
> systemStreamPartitions have no messages available.
> I have two proposed solutions to this problem:
> 1. Only call refresh.maybeCall() when the total number of buffered messages
> in the SystemConsumers has dropped below some low watermark.
> 2. Only have updateMessageChooser call messageChooser.update for
> systemStreamPartitions that actually *have* a message.
> I have implemented this and deployed it on a few jobs, and I am seeing
> significant performance improvement. From 10k-20k msgs/sec to 50k+.
> The trade off, as I see it is really around (1), which will introduce a
> little latency for topics that are low volume. In such a case, the time from
> when a message arrives to when it gets refreshed in the buffer, and updated
> in the chooser increases.
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