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However, the number of CPUs available to execute the query and the amount of available memory can change dramatically from moment to moment You really have to think of compilation and execution as two separate activities, even when you are submitting an ad-hoc SQL statement through SSMS and executing it immediately When SQL Server is ready to process a batch, an execution plan for the batch might already be available in SQL Server's cache If not, the compiler compiles the batch and produces a query plan The compilation process encompasses a few things First, SQL Server goes through the phases of parsing and binding Parsing is the process of checking the syntax and transforming your SQL batch into a parse tree Parsing is a generic operation used by compilers for almost all programming languages.

In our example, this returns the value Oct . The complete formula is as follows:

The only specific thing in SQL Server's parser is its own grammar for defining valid T-SQL syntax Parsing includes checking, for example, whether a nondelimited table or column name starts with a digit The parser flags an error if one is found However, parsing does not check whether a column used in a WHERE clause really exists in any of the tables listed in the FROM clause; that issue is dealt with during binding The binding process determines the characteristics of the objects that you reference inside your SQL statements, and it checks whether the semantics you're asking for make sense For example, while a query including FROM A JOIN B may be parsed successfully, binding will fail if A is a table and B is a stored procedure Optimization is the last step in the compilation.

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Many JMS vendors have value-add features for going beyond message selectors. If you choose to take these paths, just remember that you re straying away from portability. Fortunately, with MDBs we can take advantage of these extensions at deployment time. That is, we usually won t have to change any code to put these extensions in or take them out. The deployment descriptor conveniently includes all configuration details. As we learned, the JMS specification restricts message selectors to filtering, based on a message s headers and properties. In other words, we can t filter a message by inspecting its payload. In response, many vendors have added proprietary extensions to the message selector syntax to support content-based routing. For example, many vendors can use XPath to filter either proprietary XML message types or a TextMessage containing XML. Another proprietary extension for message filtering is the use of wildcard topic names. By using a dot notation when naming topics, we can set up a hierarchy of information. Consumers can then easily subscribe to groups of messages. Take, for example, a financial application that sends stock quote updates to either the STOCKS.NYSE.IBM or STOCKS.NASDAQ.SUNW topics. If consumers want to subscribe to all NASDAQ prices, they simply register interest in the STOCKS.NASDAQ.* topic. Alternatively, they can listen to a specific stock by registering interest in the STOCKS.NASDAQ.SUNW topic, for example. Up to this point we ve covered many antipatterns related to the design of applications using JMS and MDBs. As a parting shot, let s look at a final antipattern, one that usually reveals itself at the end of your development process.

The optimizer has to translate the nonprocedural request of a set-based SQL statement into a procedure that can execute efficiently and return the desired results Similar to binding, optimization is performed one statement at a time for all statements in the batch After the compiler generates the plan for the batch and stores the plan in the procedure cache, a special copy of the plan's execution context is executed SQL Server caches the execution contexts much like it does with the query plans, and if the same batch starts the second execution before the first one is finished, SQL Server will create the second execution context from the same plan.

This chapter lays the foundation of query tuning knowledge required for both this book and Inside Microsoft SQL Server 2008: T-SQL Programming (For brevity, I ll refer to the programming book as Inside T-SQL Programming and to both this book and Inside T-SQL Programming as these books ) Here you will be introduced to a tuning methodology, acquire tools for query tuning, learn how to analyze execution plans and perform index tuning, and learn the signi cance of preparing good sample data and the importance of using set-based solutions.