HeartSaVioR commented on code in PR #50615:
URL: https://github.com/apache/spark/pull/50615#discussion_r2048618906
##########
python/pyspark/sql/tests/pandas/test_pandas_transform_with_state.py:
##########
@@ -612,11 +612,14 @@ def check_results(batch_df, batch_id):
assert set(batch_df.sort("id").collect()) == {
Row(id="a", timestamp="4"),
}
- else:
+ elif batch_id == 2:
# watermark for late event = 10 and min event = 2 with no
filtering
assert set(batch_df.sort("id").collect()) == {
Row(id="a", timestamp="2"),
}
+ else:
+ for q in self.spark.streams.active:
Review Comment:
@zhengruifeng Since you are looking into this, could you please give a try
with replacing `self.spark` to `batch_df.sparkSession`? It seems like the
serialization issue is due to reference of outer spark session.
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