sarutak opened a new pull request #30755:
URL: https://github.com/apache/spark/pull/30755
### What changes were proposed in this pull request?
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This PR reverts #30628 because AQE seems to sometimes generate wrong results.
You can reproduce this issue with the following query ( this is taken from
`scalar-subquery-select.sql`).
```
create temporary view t3 as select * from values
('val3a', 6S, 12, 110L, float(15), 20D, 20E2, timestamp '2014-04-04
01:02:00.000', date '2014-04-04'),
('val3a', 6S, 12, 10L, float(15), 20D, 20E2, timestamp '2014-05-04
01:02:00.000', date '2014-05-04'),
('val1b', 10S, 12, 219L, float(17), 25D, 26E2, timestamp '2014-05-04
01:02:00.000', date '2014-05-04'),
('val1b', 10S, 12, 19L, float(17), 25D, 26E2, timestamp '2014-05-04
01:02:00.000', date '2014-05-04'),
('val1b', 8S, 16, 319L, float(17), 25D, 26E2, timestamp '2014-06-04
01:02:00.000', date '2014-06-04'),
('val1b', 8S, 16, 19L, float(17), 25D, 26E2, timestamp '2014-07-04
01:02:00.000', date '2014-07-04'),
('val3c', 17S, 16, 519L, float(17), 25D, 26E2, timestamp '2014-08-04
01:02:00.000', date '2014-08-04'),
('val3c', 17S, 16, 19L, float(17), 25D, 26E2, timestamp '2014-09-04
01:02:00.000', date '2014-09-05'),
('val1b', null, 16, 419L, float(17), 25D, 26E2, timestamp '2014-10-04
01:02:00.000', null),
('val1b', null, 16, 19L, float(17), 25D, 26E2, timestamp '2014-11-04
01:02:00.000', null),
('val3b', 8S, null, 719L, float(17), 25D, 26E2, timestamp '2014-05-04
01:02:00.000', date '2014-05-04'),
('val3b', 8S, null, 19L, float(17), 25D, 26E2, timestamp '2015-05-04
01:02:00.000', date '2015-05-04')
as t3(t3a, t3b, t3c, t3d, t3e, t3f, t3g, t3h, t3i);
SELECT (SELECT min(t3d) FROM t3);
spark-sql> SELECT (SELECT min(t3d) FROM t3);
10
Time taken: 0.149 seconds, Fetched 1 row(s)
spark-sql> SELECT (SELECT min(t3d) FROM t3);
10
Time taken: 0.116 seconds, Fetched 1 row(s)
spark-sql> SELECT (SELECT min(t3d) FROM t3);
10
Time taken: 0.088 seconds, Fetched 1 row(s)
spark-sql> SELECT (SELECT min(t3d) FROM t3);
10
Time taken: 0.109 seconds, Fetched 1 row(s)
spark-sql> SELECT (SELECT min(t3d) FROM t3);
0
<--------------- wrong result.
Time taken: 0.103 seconds, Fetched 1 row(s)
spark-sql> SELECT (SELECT min(t3d) FROM t3);
10
Time taken: 0.11 seconds, Fetched 1 row(s)
```
### Why are the changes needed?
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This is a serious bug.
### Does this PR introduce _any_ user-facing change?
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Yes.
### How was this patch tested?
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I confirmed I never get the wrong result with
`spark.sql.adaptive.enabled=false`.
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