lgbo-ustc opened a new issue, #7986:
URL: https://github.com/apache/incubator-gluten/issues/7986

   ### Backend
   
   CH (ClickHouse)
   
   ### Bug description
   
   
   Lazy expand(#7647) could work will on low cardinality group keys, but there 
is performance regression when there are high cardinality grouping keys. For 
example, tpcds q67 runs slower, since the `i_product_name` is a high 
cardinality column. It's a problem we have discuss in #7647, let's see what we 
could do to improve this cases.
   
   - disable lazy expand 
   
   
![image](https://github.com/user-attachments/assets/e7be0fa6-7c97-4d9d-99e0-d799cee902f3)
   
   - enable lazy expand
   
![image](https://github.com/user-attachments/assets/79e128ed-cb89-44dd-be70-289f7e68edd6)
   
   
   Obviously, with lazy expand enable, this first aggregate stage generates 
more rows. This increase the execution time of shuffle and the second aggregate 
stage. We use a simple algorithm to decide whether aggregate data from the 
expand operator, this cause there is no rows are aggregated from the expand 
operator. 
   
   
   
   
   ### Spark version
   
   None
   
   ### Spark configurations
   
   _No response_
   
   ### System information
   
   _No response_
   
   ### Relevant logs
   
   _No response_


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