You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@flink.apache.org by "Konstantin Knauf (JIRA)" <ji...@apache.org> on 2019/06/26 14:17:00 UTC
[jira] [Commented] (FLINK-12921) Flink Job Scheduling
[ https://issues.apache.org/jira/browse/FLINK-12921?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16873370#comment-16873370 ]
Konstantin Knauf commented on FLINK-12921:
------------------------------------------
[~vim] Thanks for opening this ticket. The documentation is not correct here. The behavior changed after FLIP-6.
I have linked a related ticket to enable the old behavior again.
> Flink Job Scheduling
> --------------------
>
> Key: FLINK-12921
> URL: https://issues.apache.org/jira/browse/FLINK-12921
> Project: Flink
> Issue Type: Improvement
> Components: API / DataSet, API / DataStream
> Affects Versions: 1.8.0
> Environment: flink 1.8.0
> jdk8
> Reporter: vim
> Priority: Major
>
> This is an example from flink-docs:
> Consider a program with a data source, a _MapFunction_, and a _ReduceFunction_. The source and MapFunction are executed with a parallelism of 4, while the ReduceFunction is executed with a parallelism of 3. A pipeline consists of the sequence Source - Map - Reduce. On a cluster with 2 TaskManagers with 3 slots each, the program will be executed as described below.
> !https://ci.apache.org/projects/flink/flink-docs-release-1.8/fig/slots.svg!
> But after I tried, I found that it was not like this. My result is TaskManager 1 used 3 slot, but TaskManager 2 just used 1 slot. Who else has tested this example?
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)