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query is vitally important. (For example, the execution would start with the first table in the FROM clause.) Such products sometimes claim to have a rule-based optimizer. This might simply be a euphemism for no optimizer that is, any optimization that took place was done by the person who wrote the query. The SQL Server optimizer is cost-based, and with every release it has become smarter to handle more special cases and to add more query processing and access method choices. However, by definition, the optimizer relies on probability in choosing its query plan, so sometimes it will be wrong. (Even a 90 percent chance of choosing correctly means that something will be wrong one in ten times.) Recognizing that the optimizer will never be perfect, you can use SQL Server s query hints to direct the optimizer to use a certain index for example, to force the optimizer to follow a specific sequence while working with the tables involved, or to use a particular join strategy. After normalization and optimization are completed, the normalized tree produced by those processes is compiled into the execution plan, which is actually a data structure. Each command included in it specifies exactly which table will be affected, which indexes will be used (if any), which security checks must be made, and which criteria (such as equality to a specified value) must evaluate to TRUE for selection. This execution plan might be considerably more complex than is immediately apparent. In addition to the actual commands, the execution plan includes all the steps necessary to ensure that constraints are checked. (Steps for calling a trigger are a bit different than those for verifying constraints. If a trigger is included for the action being taken, a call to the procedure that comprises the trigger is appended. A trigger has its own plan that is branched to just before committing the changes. The specific steps for the trigger are not compiled into the execution plan, like those for constraint verification.) A simple request to insert one row into a table with multiple constraints can result in an execution plan that requires many other tables to also be accessed or expressions to be evaluated. The existence of a trigger can also cause many additional steps to be executed. The step that carries out the actual INSERT statement might be just a small part of the total execution plan necessary to
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ensure that all actions and constraints associated with adding a row are carried out.
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The SQL manager is responsible for everything having to do with managing stored procedures and their plans. It determines when a stored procedure needs recompilation based on changes in the underlying objects schemas, and it manages the caching of procedure plans so that they can be reused by other processes. The SQL manager also handles auto-parameterization of queries. In Microsoft SQL Server 2000, certain kinds of ad hoc queries are treated as if they were parameterized stored procedures, and query plans are generated and saved for them. This can happen if a query uses a simple equality comparison against a constant, as in the following statement:
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This query can be parameterized as if it were a stored procedure with a parameter for the value of type:
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A subsequent query, differing only in the actual value used for the value of type, can use the same query plan that was generated for the original query.
The Expression Manager Component
The expression manager handles computation, comparison, and data movement. Suppose your query contains an expression like this one:
SELECT @myqty = qty * 10 FROM mytable V
The expression service copies the value of qty from the rowset returned by the storage engine, multiplies it by ten, and stores the result in @myqty.
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