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fokko pushed a commit to branch fd-speed-up-ci
in repository https://gitbox.apache.org/repos/asf/iceberg-python.git

commit ffdf823d6c30d0d565d01ae8d0ad674592a8fe0f
Author: Fokko Driesprong <[email protected]>
AuthorDate: Sun Jun 30 20:29:13 2024 +0200

    Don't refresh table in the for-loop
    
    This takes a lot of resources
---
 tests/integration/test_writes/test_partitioned_writes.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/tests/integration/test_writes/test_partitioned_writes.py 
b/tests/integration/test_writes/test_partitioned_writes.py
index 76d559ca..f6e6e93c 100644
--- a/tests/integration/test_writes/test_partitioned_writes.py
+++ b/tests/integration/test_writes/test_partitioned_writes.py
@@ -170,7 +170,6 @@ def test_query_filter_appended_null_partitioned(
     assert tbl.format_version == format_version, f"Expected v{format_version}, 
got: v{tbl.format_version}"
     df = spark.table(identifier)
     for col in TEST_DATA_WITH_NULL.keys():
-        df = spark.table(identifier)
         assert df.where(f"{col} is not null").count() == 6, f"Expected 6 
non-null rows for {col}"
         assert df.where(f"{col} is null").count() == 3, f"Expected 3 null rows 
for {col}"
     # expecting 6 files: first append with [A], [B], [C],  second append with 
[A, A], [B, B], [C, C]

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