You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "Philipp Grulich (JIRA)" <ji...@apache.org> on 2017/09/11 11:07:00 UTC

[jira] [Commented] (FLINK-7001) Improve performance of Sliding Time Window with pane optimization

    [ https://issues.apache.org/jira/browse/FLINK-7001?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16161075#comment-16161075 ] 

Philipp Grulich commented on FLINK-7001:
----------------------------------------

Hey,
what is the current state of this?
Over the last month, I worked on a similar research project.
We implemented this kind of aggregation sharing for all time-based window operators.
Maybe it would make sense to work together on this.

Best,
Philipp

> Improve performance of Sliding Time Window with pane optimization
> -----------------------------------------------------------------
>
>                 Key: FLINK-7001
>                 URL: https://issues.apache.org/jira/browse/FLINK-7001
>             Project: Flink
>          Issue Type: Improvement
>          Components: DataStream API
>            Reporter: Jark Wu
>            Assignee: Jark Wu
>             Fix For: 1.4.0
>
>
> Currently, the implementation of time-based sliding windows treats each window individually and replicates records to each window. For a window of 10 minute size that slides by 1 second the data is replicated 600 fold (10 minutes / 1 second). We can optimize sliding window by divide windows into panes (aligned with slide), so that we can avoid record duplication and leverage the checkpoint.
> I will attach a more detail design doc to the issue.
> The following issues are similar to this issue: FLINK-5387, FLINK-6990



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)