[ 
https://issues.apache.org/jira/browse/FLINK-12529?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Haibo Sun updated FLINK-12529:
------------------------------
    Summary: Release record-deserializer buffers timely to improve the 
efficiency of heap usage on taskmanager  (was: Release buffers of the record 
deserializers timely to improve the efficiency of heap memory usage on 
taskmanager)

> Release record-deserializer buffers timely to improve the efficiency of heap 
> usage on taskmanager
> -------------------------------------------------------------------------------------------------
>
>                 Key: FLINK-12529
>                 URL: https://issues.apache.org/jira/browse/FLINK-12529
>             Project: Flink
>          Issue Type: Improvement
>    Affects Versions: 1.8.0
>            Reporter: Haibo Sun
>            Assignee: Haibo Sun
>            Priority: Major
>
> In input processors (`StreamInputProcessor` and `StreamTwoInputProcessor`), 
> each input channel has a corresponding record deserializer. Currently, these 
> record deserializers are cleaned up at the end of the task (look at 
> `StreamInputProcessor#cleanup()` and `StreamTwoInputProcessor#cleanup()`). 
> This is not a problem for unbounded streams, but it may reduce the efficiency 
> of heap memory usage on taskmanger when input is bounded stream.
> For example, in case that all inputs are bounded streams, some of them end 
> very early because of the small amount of data, and the other end very late 
> because of the large amount of data, then the buffers of the record 
> deserializers corresponding to the input channels finished early is idle for 
> a long time and no longer used.
> In another case, when both unbounded and bounded streams exist in the inputs, 
> the buffers of the record deserializers corresponding to the bounded stream 
> are idle for ever (no longer used) after the bounded streams are finished. 
> Especially when the record and the parallelism of upstream are large, the 
> total size of `SpanningWrapper#buffer` are very large. The size of 
> `SpanningWrapper#buffer` is allowed to reach up to 5 MB, and if the 
> parallelism of upstream is 100, the maximum total size will reach 500 MB (in 
> our production, there are jobs with the record size up to hundreds of KB and 
> the parallelism of upstream up to 1000).
> Overall, after receiving `EndOfPartitionEvent` from the input channel, the 
> corresponding record deserializer should be cleared immediately to improve 
> the efficiency of heap memory usage on taskmanager.



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Reply via email to