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For example, processing a query in parallel (using multiple CPUs simultaneously for the same query) typically uses more resources than processing it serially using a single CPU, but the query completes much faster in parallel The optimizer will propose a parallel execution plan to return results, and SQL Server will use such a parallel plan for execution if the load on the server is not adversely affected Optimization itself involves several steps The trivial plan optimization is the first step The idea behind trivial plan optimization is that cost-based optimization is expensive to initialize and run The optimizer can try many possible variations in looking for the cheapest plan If SQL Server knows by investigating the query and the relevant metadata that there is only one viable plan for a query, it can avoid a lot of the work required to initialize and perform cost-based optimization.



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A common example is a query that consists of an INSERT with a VALUES clause into a table that does not participate in any indexed views There is only one possible plan Another example is a SELECT from single table with no indexes and no GROUP BY In these two cases, SQL Server should just generate the plan and not try to find something better The trivial plan the optimizer finds is the obvious plan, and usually it is very inexpensive Later in the chapter, I will show how to determine whether the optimizer produced a trivial plan for a particular query If the optimizer doesn't find a trivial plan, SQL Server will perform some simplifications, which are usually syntactic transformations of the query itself, to look for commutative properties and operations that can be rearranged.

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SQL Server can perform operations that don't require considering the cost or analyzing what indexes are available but that result in a more efficient query An example of simplification is to evaluate simple single table where filters before the joins As described in 1 , the filters are logically evaluated after the joins, but evaluating the filters before the joins produces correct result as well and is always more efficient because it removes unqualified rows before the join operation Another example of simplification is transforming outer joins into inner joins in some cases, as shown in Figure 2-6 In general, an outer join will add rows to the result set of an inner join These additional rows have the NULL value in all columns of the inner set if there is no inner row satisfying the join predicate.

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In the using statement, you initialize an object and save its reference in a variable . Then you access the variable via code contained inside using s braces . When you compile this code, the compiler automatically emits the try and finally blocks . Inside the finally block, the compiler emits code to cast the object to an IDisposable and calls the Dispose method . Obviously, the compiler allows the using statement to be used only with types that implement the IDisposable interface .

Therefore, if there is a predicate on the inner set that disqualifies these rows, the result of the outer join is the same as the inner join and it will never be cheaper to generate the outer join result Therefore, SQL Server changes the outer join to an inner join during simplification In the following OUTER JOIN query, the predicate ProductsUnitPrice > 10 disqualifies all additional rows that would be produced by the OUTER JOIN, and therefore, the OUTER JOIN is simplified into an INNER join: USE Northwind;.

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