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https://issues.apache.org/jira/browse/TUBEMQ-123?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17141698#comment-17141698
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ASF subversion and git services commented on TUBEMQ-123:
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Commit e90f803f2e79e71b2178603db85c6266e9fb44bc in incubator-tubemq's branch
refs/heads/TUBEMQ-2 from gosonzhang
[ https://gitbox.apache.org/repos/asf?p=incubator-tubemq.git;h=e90f803 ]
[TUBEMQ-123] Batch flush data to disk (#165)
Co-authored-by: gosonzhang <[email protected]>
> Batch flush data to disk
> ------------------------
>
> Key: TUBEMQ-123
> URL: https://issues.apache.org/jira/browse/TUBEMQ-123
> Project: Apache TubeMQ
> Issue Type: Sub-task
> Reporter: Guocheng Zhang
> Assignee: Guocheng Zhang
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.5.0
>
> Attachments: image-2020-05-16-21-56-43-218.png
>
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> 4. More effective memory-to-disk operation: At present, the flashing
> operation is to flash messages from the memory to the disk one by one for
> storage. This block can be adjusted to write to the disk in batches according
> to the memory block, thereby improving storage efficiency;
>
> ------------------------------------------------------
> This problem was pointed out by an MQ expert: in the current version, TubeMQ
> does not handle the data well enough when refreshing the data from memory to
> disk, It is carried out through the refresh mode one by one, the related
> problems are shown in the following figure:
> !image-2020-05-16-21-56-43-218.png!
>
> After searching for documents and analyzing this problem, This should be a
> better practice method that datas writing to disk according to the size of 4
> times the number of bytes, but the difference between the specific size and
> the effect of flushing is related to the relevant operating environment.
> So I want to optimize this to flush the datas to the disk in batches of a
> specified size (configurable) to improve disk write efficiency, and combined
> with the modification of [TUBEMQ-120], it should be able to achieve better
> results
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