How can I force a subquery to perform as well as a #temp table?
I do not believe there is a query hint that instructs the engine to spool each subquery in turn.
There is the OPTION (FORCE ORDER)
query hint which forces the engine to perform the JOINs in the order specified, which could potentially coax it into achieving that result in some instances. This hint will sometimes result in a more efficient plan for a complex query and the engine keeps insisting on a sub-optimal plan. Of course, the optimizer should usually be trusted to determine the best plan.
Ideally there would be a query hint that would allow you to designate a CTE or subquery as "materialized" or "anonymous temp table", but there is not.
There are a few possible explanations as to why you see this behavior. Some common ones are
- The subquery or CTE may be being repeatedly re-evaluated.
- Materialising partial results into a
#temp
table may force a more optimum join order for that part of the plan by removing some possible options from the equation. - Materialising partial results into a
#temp
table may improve the rest of the plan by correcting poor cardinality estimates.
The most reliable method is simply to use a #temp
table and materialize it yourself.
Failing that regarding point 1 see Provide a hint to force intermediate materialization of CTEs or derived tables. The use of TOP(large_number) ... ORDER BY
can often encourage the result to be spooled rather than repeatedly re evaluated.
Even if that works however there are no statistics on the spool.
For points 2 and 3 you would need to analyse why you weren't getting the desired plan. Possibly rewriting the query to use sargable predicates, or updating statistics might get a better plan. Failing that you could try using query hints to get the desired plan.
Another option (for future readers of this article) is to use a user-defined function. Multi-statement functions (as described in How to Share Data between Stored Procedures) appear to force the SQL Server to materialize the results of your subquery. In addition, they allow you to specify primary keys and indexes on the resulting table to help the query optimizer. This function can then be used in a select statement as part of your view. For example:
CREATE FUNCTION SalesByStore (@storeid varchar(30))
RETURNS @t TABLE (title varchar(80) NOT NULL PRIMARY KEY,
qty smallint NOT NULL) AS
BEGIN
INSERT @t (title, qty)
SELECT t.title, s.qty
FROM sales s
JOIN titles t ON t.title_id = s.title_id
WHERE s.stor_id = @storeid
RETURN
END
CREATE VIEW SalesData As
SELECT * FROM SalesByStore('6380')