HeartSaVioR commented on code in PR #48124:
URL: https://github.com/apache/spark/pull/48124#discussion_r1857666519
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python/pyspark/sql/tests/pandas/test_pandas_transform_with_state.py:
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@@ -797,25 +777,22 @@ def check_results(batch_df, batch_id):
import datetime
if batch_id == 0:
- assert set(
- batch_df.sort("outputTimestamp").select("outputTimestamp",
"count").collect()
- ) == {
- Row(outputTimestamp=datetime.datetime(1970, 1, 1, 0, 0,
20), count=1),
- }
+ assert batch_df.isEmpty()
elif batch_id == 1:
+ # watermark is 25 - 5 = 20, no more event for eventTime=10
Review Comment:
No, it's not.
* The watermark for "late events" in batch ID "N" is the watermark for
"eviction" in batch "N - 1". (default: 0)
* The watermark for "eviction" in batch "N" is "calculated" based on the
input data in batch "N - 1".
That said, the watermark for "eviction" in batch 1 is, 15 (max event time
from batch 0) - 5 = 10. The watermark for "late events" in batch 0 is, 0.
With the same logic, the watermark for "eviction" in batch 2 is, 25 - 5 =
20. The watermark for "late events" in batch 2 is, the watermark for "eviction"
in batch 1, hence 10.
Please update the code comment with the correction. I see both comments in
batch 1 and 2 are incorrect.
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