[
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.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)