AngersZhuuuu commented on pull request #28836:
URL: https://github.com/apache/spark/pull/28836#issuecomment-645865809
@bart-samwel @HyukjinKwon @gatorsmile
One confuse, why we can't support window function in Filter condition?
Support SQL like this can make some SQL more readable
```
select id, key, value
from (
select id, row_number() over (partition by key order by value asc) as rn,
key, value from
(
select id, key, value from test_score
LATERAL VIEW explode (map(
'score1', score1,
'score2', score2
'score3', score3
)) t2 as key, value
) tmp
) s
where rn=1
```
I can just write like below
```
select id, key, value from
(
select id, key, value from test_score
LATERAL VIEW explode (map(
'score1', score1,
'score2', score2
'score3', score3
)) t2 as key, value
) tmp
) s
where row_number() over (partition by key order by value asc) = 1,
```
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