[ 
https://issues.apache.org/jira/browse/FLINK-32870?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Yuxin Tan updated FLINK-32870:
------------------------------
    Summary: Reading multiple small buffers by reading and slicing one large 
buffer for tiered storage  (was: Merge multiple small buffers into one large 
buffer when loading data for tiered storage)

> Reading multiple small buffers by reading and slicing one large buffer for 
> tiered storage
> -----------------------------------------------------------------------------------------
>
>                 Key: FLINK-32870
>                 URL: https://issues.apache.org/jira/browse/FLINK-32870
>             Project: Flink
>          Issue Type: Bug
>          Components: Runtime / Network
>    Affects Versions: 1.18.0
>            Reporter: Yuxin Tan
>            Assignee: Yuxin Tan
>            Priority: Major
>
> Currently, when the file reader of tiered storage loads data from the disk 
> file, it reads data in buffer granularity. Before compression, each buffer is 
> 32K by default, after compression the size will become smaller (may less than 
> 5K), which is pretty small for the network buffer and the file IO. 
> We should merge the multiple small buffers into a larger one to decrease the 
> buffer competition and the file IO, leading to better performance.



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

Reply via email to