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https://issues.apache.org/jira/browse/SPARK-35332?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17344501#comment-17344501
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XiDuo You commented on SPARK-35332:
-----------------------------------
[~luxianghao] Now you can `set
spark.sql.optimizer.canChangeCachedPlanOutputPartitioning = true` to make AQE
optimize the cache plan.
> Not Coalesce shuffle partitions when cache table
> ------------------------------------------------
>
> Key: SPARK-35332
> URL: https://issues.apache.org/jira/browse/SPARK-35332
> Project: Spark
> Issue Type: Improvement
> Components: Shuffle
> Affects Versions: 3.0.1, 3.1.0, 3.1.1
> Environment: latest spark version
> Reporter: Xianghao Lu
> Assignee: XiDuo You
> Priority: Major
> Fix For: 3.2.0
>
> Attachments: cacheTable.png
>
>
> *How to reproduce the problem*
> _linux shell command to prepare data:_
> for i in $(seq 200000);do echo "$(($i+100000)),name$i,$(($i*10))";done >
> data.text
> _sql to reproduce the problem:_
> * create table data_table(id int, str string, num int) row format delimited
> fields terminated by ',';
> * load data local inpath '/path/to/data.text' into table data_table;
> * CACHE TABLE test_cache_table AS
> SELECT str
> FROM
> (SELECT id,str FROM data_table
> )group by str;
> Finally you will see a stage with 200 tasks and not coalesce shuffle
> partitions, the problem will waste resource when data size is small.
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