Finding Not null on multiple columns using COALESCE - sql

Question

I have a query to find not null on 2 columns on a table which is a view , hence it is taking a lot of time for execution.
The query is : Query1
SELECT [Table1].M, [[Table1]].B, [Table1].P
FROM [Table1]
WHERE ((([[Table1]].B) Is Not Null) AND (([[Table1]].P) Is Not Null));
Does the below query does the same function as Query1 with faster execution time ?
SELECT [Table1].M, [[Table1]].B, [Table1].P
FROM [Table1]
WHERE COALESCE (([[Table1]].B),([[Table1]].P)) Is Not Null
Any help would be of great help and thanks in advance.
The view query
select dbo.TABLE1.[COL1]
, dbo.TABLE1.[COL2]
, RIGHT(dbo.TABLE1.M, 12) as M
, dbo.TABLE2.[MD]
, dbo.TABLE1.[COL3]
, dbo.TABLE1.[COL4]
, dbo.TABLE3.COL1
, dbo.TABLE3.[COL2]
, dbo.TABLE3.[COL3]
, dbo.TABLE4.[COL1]
, dbo.TABLE5.[COL1]
, dbo.TABLE6.[COL1]
, dbo.TABLE7.[COL1] as [BA]
, dbo.TABLE8.[COL1]
, dbo.TABLE3.[COL4]
, dbo.TABLE3.[COL5]
, dbo.TABLE3.[COL6]
from dbo.TABLE1
left outer join dbo.TABLE2
on dbo.TABLE1.M = dbo.TABLE2.M
left outer join dbo.TABLE3
on dbo.TABLE1.M = dbo.TABLE3.M
left outer join dbo.TABLE5
on dbo.TABLE3.[OBJ_NR] = dbo.TABLE5.OBJ
left outer join dbo.TABLE6
on dbo.TABLE3.[OBJ_NR] = dbo.TABLE6.OBJ
left outer join dbo.TABLE7
on dbo.TABLE3.[OBJ_NR] = dbo.TABLE7.OBJ
left outer join dbo.TABLE4
on dbo.TABLE3.[OBJ_NR] = dbo.TABLE4.OBJ
left outer join dbo.TABLE8
on dbo.TABLE3.[OBJ_NR] = dbo.TABLE8.OBJ
where (
(
dbo.TABLE1.[COL1] not in (
'XX'
, 'YY'
)
)
and (dbo.TABLE1.COL5 = 'x')
)

Answer 1

No, both queries aren't equivalent.
The WHERE clause in the second one is equivalent to
WHERE [[Table1]].B Is Not Null OR [[Table1]].P Is Not Null
COALESCE will evaluate the first parameter and return it if not null. Otherwise, it will return the second one if not null, and so on, until reaching the last parameter, which will be returned whatever its value. So COALESCE(...) IS NOT NULL needs only one not null value to return true, not all.

Answer 2

I've tried this out on a table in my development DB. Here are the results:
with only PK index: 2 minutes for 4 million selected records out of 8 million table
with index on 3 selected columns (none of them PK) 1.8 seconds.
You might need to do some testing to get the right indexes for your setup but here is the sample of what i changed:
select [col1]
, [col2]
, [col3]
from [dbo].[tbl]
where col2 is not null
and col3 is not null
create nonclustered index [idx_test] on [dbo].[tbl] (
[col2] asc
, [col3] asc
) INCLUDE ([col1])