Understanding Query Processing
Transact-SQL, or T-SQL as it has become commonly known, is the language used to communicate with Microsoft SQL Server and Azure SQL Database. Any actions a user wishes to perform in a server, such as retrieving or modifying data in a database, creating objects, or changing server configurations, are all done via T-SQL commands.
The first step in learning to write efficient T-SQL queries is understanding how the SQL Database Engine processes and executes the query. The Query Processor is a component, therefore a noun, should not be all lowercased includes query compilation, query optimization, and query execution essentials: how does the SQL Database Engine compile an incoming T-SQL statement? How does the SQL Database Engine optimize and execute a T-SQL statement? How does the SQL Database Engine use parameters? Are parameters an advantage? When and why does the SQL Database Engine cache execution plans for certain T-SQL statements but not for others? When is that an advantage and when is it a problem? This is information that any T-SQL practitioner needs to keep as a reference for proactive T-SQL query writing, as well as reactive troubleshooting and optimization purposes. This chapter will be referenced throughout all following chapters, as we bridge the gap between architectural topics and real-world usage.
In this chapter, we’re going to cover the following main topics:
- Logical statement processing flow
- Query compilation essentials
- Query optimization essentials
- Query execution essentials
- Plan caching and reuse
- The importance of parameters
