wangyum opened a new pull request, #36080:
URL: https://github.com/apache/spark/pull/36080
### What changes were proposed in this pull request?
This PR makes row-level runtime filtering support pruning side has window.
For example:
```sql
SELECT *
FROM (SELECT *,
Row_number() OVER ( partition BY c1 ORDER BY f1) rn
FROM bf1) bf1
JOIN bf2
ON bf1.c1 = bf2.c2
WHERE bf2.a2 = 62
```
After this PR:
```
== Optimized Logical Plan ==
Join Inner, (c1#45922 = c2#45928), Statistics(sizeInBytes=12.3 MiB)
:- Window [row_number() windowspecdefinition(c1#45922, f1#45925 ASC NULLS
FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS
rn#45976], [c1#45922], [f1#45925 ASC NULLS FIRST], Statistics(sizeInBytes=3.7
KiB)
: +- Filter (isnotnull(c1#45922) AND might_contain(scalar-subquery#45993
[], xxhash64(c1#45922, 42))), Statistics(sizeInBytes=3.3 KiB)
: : +- Aggregate [bloom_filter_agg(xxhash64(c2#45928, 42), 1000000,
8388608, 0, 0) AS bloomFilter#45992], Statistics(sizeInBytes=108.0 B,
rowCount=1)
: : +- Project [c2#45928], Statistics(sizeInBytes=1278.0 B)
: : +- Filter ((isnotnull(a2#45926) AND (a2#45926 = 62)) AND
isnotnull(c2#45928)), Statistics(sizeInBytes=3.3 KiB)
: : +- Relation
default.bf2[a2#45926,b2#45927,c2#45928,d2#45929,e2#45930,f2#45931] parquet,
Statistics(sizeInBytes=3.3 KiB)
: +- Relation
default.bf1[a1#45920,b1#45921,c1#45922,d1#45923,e1#45924,f1#45925] parquet,
Statistics(sizeInBytes=3.3 KiB)
+- Filter ((isnotnull(a2#45926) AND (a2#45926 = 62)) AND
isnotnull(c2#45928)), Statistics(sizeInBytes=3.3 KiB)
+- Relation
default.bf2[a2#45926,b2#45927,c2#45928,d2#45929,e2#45930,f2#45931] parquet,
Statistics(sizeInBytes=3.3 KiB)
```
### 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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