@@ -3205,16 +3205,16 @@ def execute_spark_query(query: str):
32053205 "storage_type" ,
32063206 ["s3" , "azure" , "local" ],
32073207)
3208- def test_partition_pruning_with_subquery_set (started_cluster_iceberg_with_spark , storage_type ):
3209- instance = started_cluster_iceberg_with_spark .instances ["node1" ]
3210- spark = started_cluster_iceberg_with_spark .spark_session
3208+ def test_partition_pruning_with_subquery_set (started_cluster , storage_type ):
3209+ instance = started_cluster .instances ["node1" ]
3210+ spark = started_cluster .spark_session
32113211 TABLE_NAME = "test_partition_pruning_" + storage_type + "_" + get_uuid_str ()
32123212 IN_MEMORY_TABLE = "in_memory_table_" + get_uuid_str ()
32133213
32143214 def execute_spark_query (query : str ):
32153215 return execute_spark_query_general (
32163216 spark ,
3217- started_cluster_iceberg_with_spark ,
3217+ started_cluster ,
32183218 storage_type ,
32193219 TABLE_NAME ,
32203220 query ,
@@ -3245,7 +3245,7 @@ def execute_spark_query(query: str):
32453245
32463246
32473247 creation_expression = get_creation_expression (
3248- storage_type , TABLE_NAME , started_cluster_iceberg_with_spark , table_function = True
3248+ storage_type , TABLE_NAME , started_cluster , table_function = True
32493249 )
32503250
32513251 instance .query (f"CREATE TABLE { IN_MEMORY_TABLE } (id INT) ENGINE = Memory" )
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