Dmitriy Pavlov commented on IGNITE-6699:

[~ivanan.fed], [~NIzhikov], could you please look to 


it seems test was broken with this change.

> Optimize client-side data streamer performance
> ----------------------------------------------
>                 Key: IGNITE-6699
>                 URL: https://issues.apache.org/jira/browse/IGNITE-6699
>             Project: Ignite
>          Issue Type: Task
>          Components: streaming
>    Affects Versions: 2.3
>            Reporter: Vladimir Ozerov
>            Assignee: Ivan Fedotov
>            Priority: Major
>              Labels: performance
>             Fix For: 2.6
> Currently if a user has several server nodes and a single client node with 
> single thread pushing data to streamer, he will not be able to load data at 
> maximum speed. On the other hand, if he start several data loading threads, 
> throughput will increase. 
> One of root causes of this is bad data streamer design. Method 
> {{IgniteDataStreamer.addData(K, V)}} returns new feature for every operation, 
> this is too fine grained approach. Also it generates a lot of garbage and 
> causes contention on streamer internals. 
> Proposed implementation flow:
> 1) Compare performance of {{addData(K, V)}} vs {{addData(Collection)}} 
> methods from one thread in distributed environment. The latter should show 
> considerably higher throughput.
> 2) Users should receive per-batch features, rather than per-key. 
> 3) Try caching thread data in some collection until it is large enough to 
> avoid contention and unnecessary allocations.

This message was sent by Atlassian JIRA

Reply via email to