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https://issues.apache.org/jira/browse/FLINK-37999?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Gustavo de Morais updated FLINK-37999:
--------------------------------------
    Description: 
This issue aims to verify FLIP-445.

The Hive Source now supports dynamic parallelism inference, and the default 
parallelism inference mode has also changed from static to dynamic inference. 
For detailed information, please refer to the 
[documentation|https://nightlies.apache.org/flink/flink-docs-master/docs/connectors/table/hive/hive_read_write/#source-parallelism-inference].

We may need to cover the following types of test cases:
Test 1: Confirm that the dynamic parallelism inference feature is effective.
Test 2: Confirm whether it is possible to switch the parallelism inference mode 
or disable parallelism inference through the config option 
`table.exec.hive.infer-source-parallelism.mode`.
Test 3: Construct scenarios where DynamicPartitionPruning is effective, and 
confirm whether the dynamically inferred source parallelism has been optimized.
 
Follow up the test for https://issues.apache.org/jira/browse/FLINK-35293

 

  was:Follow up the test for https://issues.apache.org/jira/browse/FLINK-37859


> Release Testing Instructions: Verify FLIP-516: Streaming Multi-Way Join 
> Optimization
> ------------------------------------------------------------------------------------
>
>                 Key: FLINK-37999
>                 URL: https://issues.apache.org/jira/browse/FLINK-37999
>             Project: Flink
>          Issue Type: Sub-task
>          Components: Table SQL / Planner
>    Affects Versions: 2.1.0
>            Reporter: dalongliu
>            Assignee: Gustavo de Morais
>            Priority: Blocker
>              Labels: release-testing
>             Fix For: 2.1.0
>
>
> This issue aims to verify FLIP-445.
> The Hive Source now supports dynamic parallelism inference, and the default 
> parallelism inference mode has also changed from static to dynamic inference. 
> For detailed information, please refer to the 
> [documentation|https://nightlies.apache.org/flink/flink-docs-master/docs/connectors/table/hive/hive_read_write/#source-parallelism-inference].
> We may need to cover the following types of test cases:
> Test 1: Confirm that the dynamic parallelism inference feature is effective.
> Test 2: Confirm whether it is possible to switch the parallelism inference 
> mode or disable parallelism inference through the config option 
> `table.exec.hive.infer-source-parallelism.mode`.
> Test 3: Construct scenarios where DynamicPartitionPruning is effective, and 
> confirm whether the dynamically inferred source parallelism has been 
> optimized.
>  
> Follow up the test for https://issues.apache.org/jira/browse/FLINK-35293
>  



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