gengliangwang opened a new pull request #29075:
URL: https://github.com/apache/spark/pull/29075
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### What changes were proposed in this pull request?
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After https://github.com/apache/spark/pull/28805, the pushed down predicates
for partition pruning can be very long.
For example, the following partition filter:
```
(p0 = '1' AND p1 = '1') OR (p0 = '2' AND p1 = '2') OR (p0 = '3' AND p1 =
'3') OR (p0 = '4' AND p1 = '4') OR (p0 = '5' AND p1 = '5') OR (p0 = '6' AND p1
= '6') OR (p0 = '7' AND p1 = '7') OR (p0 = '8' AND p1 = '8') OR (p0 = '9' AND
p1 = '9') OR (p0 = '10' AND p1 = '10') OR (p0 = '11' AND p1 = '11') OR (p0 =
'12' AND p1 = '12') OR (p0 = '13' AND p1 = '13') OR (p0 = '14' AND p1 = '14')
OR (p0 = '15' AND p1 = '15') OR (p0 = '16' AND p1 = '16') OR (p0 = '17' AND p1
= '17') OR (p0 = '18' AND p1 = '18') OR (p0 = '19' AND p1 = '19') OR (p0 = '20'
AND p1 = '20')
```
will be converted into a long query(130K characters) in Hive metastore, and
there will be error:
```
javax.jdo.JDOException: Exception thrown when executing query : SELECT
DISTINCT 'org.apache.hadoop.hive.metastore.model.MPartition' AS
NUCLEUS_TYPE,A0.CREATE_TIME,A0.LAST_ACCESS_TIME,A0.PART_NAME,A0.PART_ID,A0.PART_NAME
AS NUCORDER0 FROM PARTITIONS A0 LEFT OUTER JOIN TBLS B0 ON A0.TBL_ID =
B0.TBL_ID LEFT OUTER JOIN DBS C0 ON B0.DB_ID = C0.DB_ID WHERE B0.TBL_NAME = ?
AND C0."NAME" = ? AND ((((((A0.PART_NAME LIKE '%/p1=1' ESCAPE '\' ) OR
(A0.PART_NAME LIKE '%/p1=2' ESCAPE '\' )) OR (A0.PART_NAME LIKE '%/p1=3' ESCAPE
'\' )) OR ((A0.PART_NAME LIKE '%/p1=4' ESCAPE '\' ) O ...
```
To avoid it:
1. We should push down the convertible original queries as they are, instead
of converting all predicates into CNF
2. We can skip grouping expressions so that we can stop the CNF conversion
when the predicates becoming too long.
### Why are the changes needed?
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Avoid potential regressions in partition pruning.
### Does this PR introduce _any_ user-facing change?
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No
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Unit test
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