[GitHub] [spark] HyukjinKwon commented on a change in pull request #33877: [SPARK-36625][PYTHON] Support TimestampNTZ in pandas API on Spark

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

HyukjinKwon commented on a change in pull request #33877:
URL: https://github.com/apache/spark/pull/33877#discussion_r701796298



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File path: python/pyspark/pandas/utils.py
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@@ -470,6 +470,7 @@ def default_session(conf: Optional[Dict[str, Any]] = None) -> SparkSession:
     # Currently, pandas-on-Spark is dependent on such join due to 'compute.ops_on_diff_frames'
     # configuration. This is needed with Spark 3.0+.
     builder.config("spark.sql.analyzer.failAmbiguousSelfJoin", False)
+    builder.config("spark.sql.timestampType", "TIMESTAMP_NTZ")

Review comment:
       should revert this back once tests pass.




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