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The query optimizer is important because it enables the database server to adjust dynamically to changing conditions in the database without requiring input from the developer or administrator of the application This enables developers to focus on developing the query and trusting that the query optimizer will build an efficient execution plan for the state of the database every time the statement is run To put it all together, the query engine performs the following steps: 1 The parser scans the SELECT statement and breaks it into logical units such as keywords, expressions, operators, and identifiers 2 A query tree, sometimes referred to as a sequence tree, is built describing the logical steps needed to transform the source data into the format required by the result set 3 The query optimizer analyzes different ways the source tables can be accessed.

ADD EncryptedCardNumber varbinary(256);

3. Encrypt the CardNumber column, and view the encryption by executing the fol lowing code:

Review the chapter summary. Review the list of key terms introduced in this chapter. Complete the case scenarios. These scenarios set up real-word situations involving the topics of this chapter and ask you to create a solution. Complete the suggested practices. Take a practice test.

It then selects the series of steps that returns the results the most quickly while using fewer resources The query tree is updated to record this exact series of steps The final, optimized version of the query tree is called the execution plan 4 The relational engine starts executing the execution plan As the steps that require data from the base tables are processed, the relational engine requests that the storage engine pass up data from the rowsets requested from the relational engine 5 The relational engine processes the data returned from the storage engine into the format defined for the result set and returns the result set to the client The basic steps described for processing a SELECT statement apply to other SQL statements such as INSERT, UPDATE, and DELETE UPDATE and DELETE statements both have to target the set of rows to be modified or deleted.

DECLARE @Passphrase nvarchar(128);

SET @Passphrase = 'P@55w0rd'; SELECT CardNumber, EncryptedCardNumber FROM Sales.CreditCard -- Update the EncryptedCardNumber column using the passphrase and authenticator UPDATE Sales.Creditcard SET EncryptedCardNumber = EncryptByPassPhrase(@Passphrase , CardNumber, 1, CONVERT( varbinary, CreditCardID))

The process of identifying these rows is the same process used to identify the source rows that contribute to the result set of a SELECT statement The UPDATE and INSERT statements might both contain embedded SELECT statements that provide the data values to be updated or inserted..

4. Verify the encryption by executing the following code:

Summary

SQL Server 2005 has a pool of memory that is used to store both execution plans and data buffers. The percentage of the pool allocated to either execution plans or data buffers fluctuates dynamically, depending on the state of the system. The part of the memory pool that is used to store execution plans is referred to as the procedure cache. One important aspect of the query execution steps is the fact that once the best query plan is generated, it is stored in procedure cache so that subsequent executions of the query do not have to generate the plan.

DECLARE @Passphrase nvarchar(128);

SET @Passphrase = 'P@55w0rd';

SQL Server 2005 execution plans have two main components: the query plan and the execution context, as shown in Figure B-13.

SELECT CardNumber, EncryptedCardNumber, CONVERT(nvarchar, DecryptByPassphrase(@Passphrase, EncryptedCardNumber, 1 , CONVERT(varbinary, CreditCardID))) DecryptedCardNumber FROM Sales.CreditCard