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https://issues.apache.org/jira/browse/TUBEMQ-123?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17109766#comment-17109766
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Guocheng Zhang commented on TUBEMQ-123:
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Later, I thought about it: in fact, the memory flush disk and the disk flush
disk can be combined to one, based on the modified TUBEMQ-123, the memory
flushes the disk according to the block. At this time, it has been indicated
that the data needs to be refreshed to the file. Correspondingly, the file
layer flush Disk control can be cut out
Anyway, I will practice this idea in the next implementation to see if it is
feasible
> 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
> Priority: Major
> Attachments: image-2020-05-16-21-56-43-218.png
>
>
> 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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