[GitHub] [spark] HyukjinKwon commented on a diff in pull request #38008: [SPARK-40571][SS][TESTS] Construct a new test case for applyInPandasWithState to verify fault-tolerance semantic with random python worker failures

[GitBox <gi...@apache.org>]

HyukjinKwon commented on code in PR #38008:
URL: https://github.com/apache/spark/pull/38008#discussion_r980719432


##########
python/pyspark/sql/tests/test_pandas_grouped_map_with_state.py:
##########
@@ -46,8 +55,27 @@
     cast(str, pandas_requirement_message or pyarrow_requirement_message),
 )
 class GroupedMapInPandasWithStateTests(ReusedSQLTestCase):
+    @classmethod
+    def conf(cls):
+        cfg = SparkConf()
+        cfg.set("spark.sql.shuffle.partitions", "5")
+        return cfg
+
+    def __init__(self, methodName="runTest"):
+        super(GroupedMapInPandasWithStateTests, self).__init__(methodName)
+        self.base_path = "python/test_support/sql/streaming/apply_in_pandas_with_state"

Review Comment:
   Seems like we don't need this anymore



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