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When the size of the object exceeds eight pages, the page manager allocates new space for that object in units of entire uniform extents. This optimization prevents the overhead of allocation from being incurred every time a new page is required for a large table; it is incurred only every eighth time. Perhaps most important, this optimization forces data of the same table to be contiguous (for the most part). At the same time, the ability to use mixed extents keeps SQL Server from wasting too much space if a database contains many small tables. To determine how contiguous a table s data is, you use the DBCC SHOWCONTIG command. A table with a lot of allocation and deallocation can get fairly fragmented, so rebuilding the clustered index (which also rebuilds the table) can improve performance, especially when a table is accessed frequently using table scans.
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A core feature of SQL Server is its ability to ensure that transactions follow the ACID properties. (ACID stands for atomicity, consistency, integrity, and durability.) Transactions must be atomic that is, all or nothing. If a transaction has been committed, it must be recoverable by SQL Server no matter what even if a total system failure occurs one millisecond after the commit was acknowledged. In SQL Server, if work was in progress and a system failure occurred before the transaction was committed, all the work is rolled back to the state that existed before the transaction began. Write-ahead logging makes it possible always to roll back work in progress or roll forward committed work that has not yet been applied to the data pages. Write-ahead logging ensures that a transaction s changes the before and after images of data are captured on disk in the transaction log before a transaction is acknowledged as committed. Writes to the transaction log are always synchronous that is, SQL Server must wait for them to complete. Writes to the data pages can be asynchronous, because all the effects can be reconstructed from the log if necessary. The transaction manager coordinates logging, recovery, and buffer management. These topics are discussed later in this chapter; at this point, we will just look at transactions themselves.
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The transaction manager delineates the boundaries of statements that must be grouped together to form an operation. It handles transactions that cross databases within the same SQL Server, and it allows nested transaction sequences. (However, nested transactions simply execute in the context of the first-level transaction; no special action occurs when they are committed. And a rollback specified in a lower level of a nested transaction undoes the entire transaction.) For a distributed transaction to another SQL Server (or to any other resource manager), the transaction manager coordinates with the Microsoft Distributed Transaction Coordinator (MS DTC) service using operating system remote procedure calls. The transaction manager marks savepoints, which let you designate points within a transaction at which work can be partially rolled back or undone. The transaction manager also coordinates with the lock manager regarding when locks can be released, based on the isolation level in effect. The isolation level in which your transaction runs determines how sensitive your application is to changes made by others and consequently how long your transaction must hold locks to protect against such changes. Four isolation-level semantics are available in SQL Server 2000: Uncommitted Read (also called dirty read ), Committed Read, Repeatable Read, and Serializable. Your transactions behavior depends on the isolation level. We will look at these levels now, but a complete understanding of isolation levels also requires an understanding of locking, because the topics are so closely related. The next section gives an overview of locking.
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