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Posted to issues@spark.apache.org by "JacobZheng (Jira)" <ji...@apache.org> on 2023/11/15 02:59:00 UTC

[jira] [Created] (SPARK-45929) support grouping set operation in dataframe api

JacobZheng created SPARK-45929:
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             Summary: support grouping set operation in dataframe api
                 Key: SPARK-45929
                 URL: https://issues.apache.org/jira/browse/SPARK-45929
             Project: Spark
          Issue Type: Improvement
          Components: SQL
    Affects Versions: 3.4.1
            Reporter: JacobZheng


I am using spark dataframe api for complex calculations. When I need to use the grouping sets function, I can only convert the expression to sql via analyzedPlan and then splice these sql into a complex sql to execute. In some cases, this operation generates an extremely complex sql. executing this complex sql, antlr4 continues to consume a large amount of memory, similar to a memory leak scenario. If you can and rollup, cube function through the dataframe api to calculate these operations will be much simpler.



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