You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "aitozi (JIRA)" <ji...@apache.org> on 2018/11/23 05:34:00 UTC
[jira] [Closed] (FLINK-10343) Expose setCurrentKey method to
streamRuntimeContext
[ https://issues.apache.org/jira/browse/FLINK-10343?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
aitozi closed FLINK-10343.
--------------------------
Resolution: Won't Fix
> Expose setCurrentKey method to streamRuntimeContext
> ---------------------------------------------------
>
> Key: FLINK-10343
> URL: https://issues.apache.org/jira/browse/FLINK-10343
> Project: Flink
> Issue Type: Improvement
> Components: Streaming
> Affects Versions: 1.7.0
> Reporter: aitozi
> Assignee: aitozi
> Priority: Major
> Fix For: 1.8.0
>
>
> when we use reducing state / aggregating keyed state and so on , we have to read value from state backend and update the value with userFunction and then put back to state backend. If we can just cache certain data in heap with a map, and update once in snapshot method with
> {code:java}
> snapshot() {
> for(Map.Entry<String, String> entry : map.entrySet()){
> setCurrentKey(entry.getKey());
> valueState.update(entry.getValue()); // put value back to state backend
> }}
> {code}
> we just have to expose the setCurrentKey to userFunction and the will enable the ability to cache partitial keyedState in memory by userself.
> what's your opinion [~stefanrichter83@gmail.com] [~azagrebin] ?
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)