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https://issues.apache.org/jira/browse/ROCKETMQ-80?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15906094#comment-15906094
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ASF GitHub Bot commented on ROCKETMQ-80:
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Github user coveralls commented on the issue:
https://github.com/apache/incubator-rocketmq/pull/53
[](https://coveralls.io/builds/10543227)
Coverage increased (+0.9%) to 31.863% when pulling
**854d4693ad99ae12485762f1f3bec9a43ae3c8c7 on dongeforever:ROCKETMQ-80** into
**d7decc84abc32dab63ee423d4d904f28d18cb1d7 on apache:develop**.
> Add batch feature
> -----------------
>
> Key: ROCKETMQ-80
> URL: https://issues.apache.org/jira/browse/ROCKETMQ-80
> Project: Apache RocketMQ
> Issue Type: New Feature
> Affects Versions: 4.1.0-incubating
> Reporter: dongeforever
> Assignee: dongeforever
> Fix For: 4.1.0-incubating
>
>
> Tests show that Kafka's million-level TPS is mainly owed to batch. When set
> batch size to 1, the TPS is reduced an order of magnitude. So I try to add
> this feature to RocketMQ.
> For a minimal effort, it works as follows:
> Only add synchronous send functions to MQProducer interface, just like
> send(final Collection msgs).
> Use MessageBatch which extends Message and implements Iterable<Message>.
> Use byte buffer instead of list of objects to avoid too much GC in Broker.
> Split the decode and encode logic from lockForPutMessage to avoid too many
> race conditions.
> Tests:
> On linux with 24 Core 48G Ram and SSD, using 50 threads to send 50Byte(body)
> message in batch size 50, we get about 150w TPS until the disk is full.
> Potential problems:
> Although the messages can be accumulated in the Broker very quickly, it need
> time to dispatch to the consume queue, which is much slower than accepting
> messages. So the messages may not be able to be consumed immediately.
> We may need to refactor the ReputMessageService to solve this problem.
> And if guys have some ideas, please let me know or just share it in this
> issue.
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