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To understand fully how transactions interact with one another on a database server, you must first understand isolation levels and locking. In a database environment, there are two general control philosophies about locking. The pessimistic control approach assumes that users could attempt to read and update the same data concurrently and locks are used to prevent problems caused by multiple users accessing the same data concurrently. The optimistic control approach assumes that either users will not be accessing data at the same time or that a certain level of temporary inconsistency is acceptable for concurrent reads during an update, and no read locks are issued so that better concurrency and faster performance can be achieved. To achieve the required approach, you use a combination of lock hints and isolation levels. Although locking and isolation levels are very interconnected, we discuss locks and how to view locking information on the server first, followed by a discussion of isolation levels. Locks are typically handled dynamically by the lock manager, a part of the Database Engine, not through applications. SQL Server assigns locks at different levels to optimize performance, resource management, and concurrency. Locks can be assigned to resources such as rows, pages,

' VB Using ts As New TransactionScope() ' updates go here ts.Complete() End Using // C# using (TransactionScope ts = new TransactionScope()) { // updates go here ts.Complete(); }

indexes, tables, and databases. Depending on the requirements, locks may be assigned to more than one level, creating a hierarchy of related locks. SQL Server 2008 includes the following locking modes:

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Depending on the existence of an ambient transaction, the construction of the TransactionScope object causes either a new LTM transaction to be created (if there is no ambient transaction) or enlists in the existing ambient transaction. The key to the TransactionScope is how the transaction is finished. The scope of the transaction lasts until the instance is disposed. When the using statement is used, that would be at the end of the block. Alternatively, you can call the Dispose method on the TransactionScope explicitly. What should not happen is to allow the TransactionScope object to go out of scope. Although it is true that, eventually, the object would be disposed, the garbage collection process means this won t happen in a deterministic manner. It is possible that the transaction times out (and thus is aborted) prior to garbage collection. This might or might not be the desired behavior.

Shared (S) Placed on resources for read (SELECT) operations. Shared locks are compatible with other shared locks. Shared locks are not compatible with exclusive locks. When the isolation level is set to REPEATABLE READ or higher, or a locking hint is used, the shared locks are retained for the duration of the transaction. Otherwise, shared locks are released as soon as the read is completed. Update (U) Placed on resources where a shared (S) lock is required, but the need to upgrade to an exclusive (X) lock is anticipated. Only one transaction at a time can obtain an update lock on a resource. When modification to the resource is required, the update lock is upgraded to an exclusive lock. exclusive (X) Placed on resources for data modification. An exclusive lock is not compatible with any other type of lock. Only the NOLOCK hint or the READ UNCOMMITTED isolation level overrides an exclusive lock s functionality.

Placed on resources to improve performance and locking efficiency by placing intent (IS, IX, SIX) locks at a high-level object (such as a table) before placing shared (S) or exclusive (X) locks at a lower level (such as the page level).

As has been discussed, LTM transactions participate in a two-phase commit process. To do so, any resource manager (and, subsequently, your code) must be able to vote on the success or failure of the transaction in the first phase.

intent (iS, iX, SiX) Schema (Sch-M, Sch-S) Schema modification (Sch-M) locks are placed on objects during schema modification operations, such as adding a new column to a table. Schema stability (Sch-S) locks are placed on objects while queries are being compiled or executed. Sch-M locks block all other operations until the lock is released. Sch-S locks are not compatible with Sch-M locks. bulk Update (bU)

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