Joe Ammann created SPARK-28094:
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Summary: Multiple left joins or aggregations in one query produce
incorrect results
Key: SPARK-28094
URL: https://issues.apache.org/jira/browse/SPARK-28094
Project: Spark
Issue Type: Bug
Components: Structured Streaming
Affects Versions: 2.4.3
Reporter: Joe Ammann
Structured streaming queries which involve more than one non-map-like
transformations (either left joins or aggregations) produce incorrect (and
sometimes inconsistent) results.
I have put up a sample here as Gist
https://gist.github.com/jammann/b58bfbe0f4374b89ecea63c1e32c8f17
The test case involves 4 topics, and I've implement 6 different use cases of
which 3 fail to produce the expected results
1) A innerjoin B: to topic A_B
expected: 10 inner joined messages
observation: OK
2) A innerjoin B outerjoin C: to topic A_B_outer_C
expected: 9 inner joined messages, last one in watermark
observation: OK
3) A innerjoin B outerjoin C outerjoin D: to topic A_B_outer_C_outer_D
expected: 9 inner/outer joined messages, 3 match C, 1 match D, last one
in watermark
observation: NOK, only 3 messages are produced, where the C outer join
matches
4) B outerjoin C: to topic B_outer_C
expected: 9 outer joined messages, 3 match C, 1 match D, last one in
watermark
observation: NOK, same as 3
5) A innerjoin B agg on field of A: to topic A_inner_B_agg
expected: 3 groups with a total of 9 inner joined messages, last one in
watermark
observation: OK
6) A innerjoin B outerjoin C agg on field of A: to topic A_inner_B_outer_C_agg
expected: 3 groups with a total of 9 inner joined messages, last one in
watermark
observation: NOK, 3 groups with 1 message each, where C outer join
matches
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