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https://issues.apache.org/jira/browse/STORM-418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14072257#comment-14072257
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Varun Vijayaraghavan commented on STORM-418:
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Just wondering - did you increase the parallelism of the spout along with the
increasing the number of kafka topic partitions? This was not clear in your
description.
> using storm kafka spout doesn't scale when increasing topic partition
> ---------------------------------------------------------------------
>
> Key: STORM-418
> URL: https://issues.apache.org/jira/browse/STORM-418
> Project: Apache Storm (Incubating)
> Issue Type: Bug
> Affects Versions: 0.9.2-incubating
> Environment: EC2 c3.8x large instances for supervisor and
> kafka-0.8.1.1 running Amazon Linux 64 bit version OS.
> Kafka is using 4 EBS drives of 4000 IOPS of size 150 GB each.
> Reporter: Kumar Gaurav
> Labels: performance
>
> We are running a topology of kafka spout + single bolt on a single supervisor
> machine.
> Bolt functionality is limited to log parsed data from spout only.
> When Trying to consume same type of data by different topics using varying
> topic partitions topology throughput remain same in order of 70000 msg/sec.
> However, when multiple spout instances are used in same topology , we were
> able to increase topology throughput to more than 100,000 msg/sec.
> We have tried to increase kafka topic partition from 8 to 200, however
> topology throughput remains same for sinlge spout instance.
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