I have a table like this:
Name | TimeA | TimeB | ValueA | ValueB
And, I am performing some MERGE
operations as follows:
CREATE TABLE #TEMP1...
INSERT INTO #TEMP1
SELECT Name, Value
FROM dbo.AnotherTable
WHERE ...
MERGE INTO dbo.MyTable AS Target
USING (SELECT Name, Value FROM #TEMP1) AS Source
ON Target.Name = Source.Name
AND Target.TimeA = @TimeA
WHEN MATCHED THEN
UPDATE SET ValueA = Value
WHEN NOT MATCHED THEN
INSERT (Name, TimeA, TimeB, ValueA)
VALUES (Source.Name, @TimeA, @TimeB, Value)
The Query Execution Plan says the following:
MERGE -> Table Merge 3% -> Compute Scalar 0% ->
Top 0% -> Compute Scalar 0% -> Compute Scalar 0% ->
Nested Loops (Left Outer Join) 0% <- Constant Scan 0%
^
|
|
--- Compute Scalar 0% <- Table Spool (Kager Spool) 12% <- Table Scan 86%
The plan, however does not tell me that an index will improve the performance. I'm thinking an unclustered index on (Name,TimeA)
should improve performance. Is there a better way to achieve performance for MERGE queries like this?
EDIT 1: I should note the sizes of the tables. On an average Source always contains 30-70 rows on an average and Target contains > 30 million rows.