Yicong-Huang opened a new pull request, #53002:
URL: https://github.com/apache/spark/pull/53002

   ### What changes were proposed in this pull request?
   We use these tests to ensure that large datasets are processed exclusively 
through the new iterator API and that loading them entirely into memory would 
fail. However, the original tests were too slow and resource-intensive. This PR 
optimizes the test to achieve the same validation goal while using 
significantly fewer resources.
   
   ### Why are the changes needed?
   To save time 
   
   Before:
   ```
   
7d04fd12050e/python3.11__pyspark.sql.tests.connect.pandas.test_parity_pandas_grouped_map__6iwxrtx4.log)
   Finished test(python3.11): 
pyspark.sql.tests.connect.pandas.test_parity_pandas_grouped_map **(291s)**
   Starting test(python3.11): pyspark.sql.tests.pandas.test_pandas_grouped_map 
(temp output: 
/__w/spark/spark/python/target/379cea6f-7421-4f81-ae7b-1c22baddaa92/python3.11__pyspark.sql.tests.pandas.test_pandas_grouped_map__km0800fd.log)
   Finished test(python3.11): pyspark.sql.tests.pandas.test_pandas_grouped_map 
**(300s)**
   ```
   
   After:
   
   
   ### Does this PR introduce _any_ user-facing change?
   No.
   
   
   ### How was this patch tested?
   CI test.
   
   ### Was this patch authored or co-authored using generative AI tooling?
   No.
   


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