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https://issues.apache.org/jira/browse/FLINK-31071?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17691337#comment-17691337
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Lijie Wang commented on FLINK-31071:
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Thanks [~xiasun] [~JunRuiLi] :). I think we can close this issue now.
> Release Testing: Verify FLIP-283 Use adaptive batch scheduler as default
> scheduler for batch jobs
> -------------------------------------------------------------------------------------------------
>
> Key: FLINK-31071
> URL: https://issues.apache.org/jira/browse/FLINK-31071
> Project: Flink
> Issue Type: Sub-task
> Components: Runtime / Coordination
> Reporter: Lijie Wang
> Assignee: xingbe
> Priority: Blocker
> Labels: release-testing
> Fix For: 1.17.0
>
>
> This task aims to verify FLIP-283 Use adaptive batch scheduler as default
> scheduler for batch jobs.
> The documentation of adaptive batch scheduler can be found
> [here|https://nightlies.apache.org/flink/flink-docs-master/docs/deployment/elastic_scaling/#adaptive-batch-scheduler]
> .
> Things to verify:
> 1. Verify the adaptive batch scheduler is the default scheduler of batch
> jobs. By default, Flink will automatically decide parallelism for operators
> of batch jobs if the scheduler is not specified.
> 2. Verify the configuration
> options({{{}execution.batch.adaptive.auto-parallelism.xxx{}}}) take effect.
> Besides, it is also necessary to verify that the default parallelism set via
> {{parallelism.default}} or {{StreamExecutionEnvironment#setParallelism()}}
> will be used as upper bound of allowed parallelism if the
> execution.batch.adaptive.auto-parallelism.max-parallelism is not configured.
> 3. Verify the final data produced are correct.
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