wangyum opened a new pull request #32405:
URL: https://github.com/apache/spark/pull/32405
### What changes were proposed in this pull request?
This pr makes `CombineFilters` support non-deterministic expressions. For
example:
```sql
spark.sql("CREATE TABLE t1(id INT, dt STRING) using parquet PARTITIONED BY
(dt)")
spark.sql("CREATE VIEW v1 AS SELECT * FROM t1 WHERE dt NOT IN ('2020-01-01',
'2021-01-01')")
spark.sql("SELECT * FROM v1 WHERE dt = '2021-05-01' AND rand() <=
0.01").explain()
```
Before this pr:
```
== Physical Plan ==
*(1) Filter (isnotnull(dt#1) AND ((dt#1 = 2021-05-01) AND
(rand(-6723800298719475098) <= 0.01)))
+- *(1) ColumnarToRow
+- FileScan parquet default.t1[id#0,dt#1] Batched: true, DataFilters: [],
Format: Parquet, Location: InMemoryFileIndex(0 paths)[], PartitionFilters: [NOT
dt#1 IN (2020-01-01,2021-01-01)], PushedFilters: [], ReadSchema: struct<id:int>
```
After this pr:
```
== Physical Plan ==
*(1) Filter (rand(-2400509328955813273) <= 0.01)
+- *(1) ColumnarToRow
+- FileScan parquet default.t1[id#0,dt#1] Batched: true, DataFilters: [],
Format: Parquet, Location: InMemoryFileIndex(0 paths)[], PartitionFilters:
[isnotnull(dt#1), NOT dt#1 IN (2020-01-01,2021-01-01), (dt#1 = 2021-05-01)],
PushedFilters: [], ReadSchema: struct<id:int>
```
### Why are the changes needed?
Improve query performance.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Unit test.
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