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The following commit(s) were added to refs/heads/master by this push:
     new e68b98a35cfe [MINOR][PYTHON][TESTS] Restore daily coverage build
e68b98a35cfe is described below

commit e68b98a35cfed0930f59f30b2f8a542936a6a480
Author: Ruifeng Zheng <[email protected]>
AuthorDate: Tue Jan 7 10:16:43 2025 +0800

    [MINOR][PYTHON][TESTS] Restore daily coverage build
    
    ### What changes were proposed in this pull request?
    Skip `test_value_state_ttl_expiration` in daily coverage build
    
    ### Why are the changes needed?
    to restore daily coverage build
    
    https://github.com/apache/spark/actions/runs/12630507164
    
    ### Does this PR introduce _any_ user-facing change?
    no
    
    ### How was this patch tested?
    PR build with
    ```
    
    default: '{"PYSPARK_IMAGE_TO_TEST": "python-311", "PYTHON_TO_TEST": 
"python3.11", "PYSPARK_CODECOV": "true"}'
    
    default: '{"pyspark": "true"}'
    
    ```
    
    ### Was this patch authored or co-authored using generative AI tooling?
    no
    
    Closes #49388 from zhengruifeng/py_fix_cov.
    
    Authored-by: Ruifeng Zheng <[email protected]>
    Signed-off-by: Ruifeng Zheng <[email protected]>
---
 python/pyspark/sql/tests/pandas/test_pandas_transform_with_state.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git 
a/python/pyspark/sql/tests/pandas/test_pandas_transform_with_state.py 
b/python/pyspark/sql/tests/pandas/test_pandas_transform_with_state.py
index 7a00f2f43d14..516a95a91a5e 100644
--- a/python/pyspark/sql/tests/pandas/test_pandas_transform_with_state.py
+++ b/python/pyspark/sql/tests/pandas/test_pandas_transform_with_state.py
@@ -314,6 +314,9 @@ class TransformWithStateInPandasTestsMixin:
             SimpleTTLStatefulProcessor(), check_results, False, 
"processingTime"
         )
 
+    @unittest.skipIf(
+        "COVERAGE_PROCESS_START" in os.environ, "Flaky with coverage enabled, 
skipping for now."
+    )
     def test_value_state_ttl_expiration(self):
         def check_results(batch_df, batch_id):
             if batch_id == 0:


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