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Posted to issues@flink.apache.org by "Fabian Hueske (JIRA)" <ji...@apache.org> on 2017/04/07 21:20:41 UTC
[jira] [Updated] (FLINK-6204) Update all OVER window
ProcessFunction implementations to use the SortedQueueState
[ https://issues.apache.org/jira/browse/FLINK-6204?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Fabian Hueske updated FLINK-6204:
---------------------------------
Issue Type: Improvement (was: Bug)
> Update all OVER window ProcessFunction implementations to use the SortedQueueState
> -----------------------------------------------------------------------------------
>
> Key: FLINK-6204
> URL: https://issues.apache.org/jira/browse/FLINK-6204
> Project: Flink
> Issue Type: Improvement
> Components: Table API & SQL
> Reporter: sunjincheng
> Assignee: sunjincheng
>
> Currently `event time OVER ROWS BETWEEN UNBOUNDED PRECEDING aggregation to SQL` implementation class: ` UnboundedEventTimeOverProcessFunction` use data size uncontrollable memory data structures`sortedTimestamps: util.LinkedList [Long] cache data timestamps and sort timestamps. IMO,It's not a good way, because in the production environment there are millions of window data pre millisecond in our application scenario.So, I want to remove `util.LinkedList [Long] `. Welcome anyone to give me feedback.
> What do you think? [~fhueske] and [~Yuhong_kyo]
> When a SortedQueueState is available,we will Update all OVER window ProcessFunction implementations to use the SortedQueueState.
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