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Locking hints change the behavior of the locking manager as it processes a single Transact-SQL statement. They overwrite behavior set by the transaction isolation level. The following table describes hints that can be used to control locking: Hints
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Holdlock or Serializable Nolock Updlock Rowlock Paglock Tablock Tablockx Readcommitted Readpast Readuncommitted Repeatableread
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Holds a shared lock until a transaction is completed. The lock will not be released when the resource is no longer needed, but rather when the transaction is completed. This hint applies only to Select statements. SQL Server will not place shared locks, and it will ignore exclusive locks. Uses update instead of shared locks while reading a table. Specifies the granularity of locks at the row level. Specifies the granularity of locks at the page level. Specifies the granularity of locks at the table level. Specifies the granularity of locks at the table level and the type of lock to be exclusive. Equivalent to the default isolation level (Read Committed). This hint is applicable only in Select statements working under the Read Committed isolation level. Result sets created with this hint will not contain records locked by other transactions. Equivalent to the Read Uncommitted isolation level. Equivalent to the Repeatable Read isolation level.
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Locking hints can be used in Select, Insert, Update, or Delete statements. They are set after the table reference in SQL statements (for example, in the From clause
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of a Select statement or in the Insert clause of an Insert statement). Their scope is just the table that they are used for. For example, the following command will hold a lock until the transaction is completed:
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Select * From Inventory With (HOLDLOCK) Where InventoryId = @intInventoryId
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Nobody will be able to change data records that were read and keys that match the criteria of this table until the transaction is completed. Therefore, this table cannot have phantoms, nonrepeatable reads, or dirty reads. The next example demonstrates the use of hints in an Update statement and the use of more than one hint in a statement:
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Update Inventory With (TABLOCKX, HOLDLOCK) Set StatusId = 4 Where StatusId = @intStatusId
The complete table will be locked for the duration of the transaction.
Distributed Transactions
Microsoft Distributed Transaction Coordinator (MS DTC) is a component that allows you to span transactions over two or more servers while maintaining transactional integrity. Servers in this scenario are called resource managers, and MS DTC performs the function of transaction manager. In fact, all those resource managers do not even have to be Microsoft servers; they just have to be compatible with MS DTC. For example, it is possible to execute a single transaction against databases on Microsoft SQL Server and Oracle. When transactions are distributed over different resource managers, different mechanisms have to be applied by the transaction coordinator to compensate for problems that might occur in such an environment. A typical problem is network failure. For example, everything might be executed properly by each individual resource manager, but if the transaction coordinator is not informed due to a network failure, the result is the same as if one of the resource managers had failed, and the transaction will be rolled back. The mechanism for dealing with such problems is called the two-phase commit (2PC). As the name implies, it consists of two phases:
C h a p t e r 6 : C o m p o s i t e Tr a n s a c t - S Q L C o n s t r u c t s : B a t c h e s , S c r i p t s , a n d Tr a n s a c t i o n s
Prepare phase Starts when a transaction manager receives a request to execute a transaction. It notifies the resource managers and informs them of the work that needs to be done. The resource managers perform all changes and even write everything from the transaction log in memory to the disk. When everything is completed, each resource manager sends a status message indicating success or failure to the transaction manager. Commit phase Starts when the transaction manager receives messages from resource managers. If the resource managers successfully complete the preparation phase, the transaction manager sends a Commit command to the resource managers. Each of them makes the changes permanently to the database and reports the success of the operation to the transaction manager. If any of the resource managers reports failure during the preparation phase, the transaction manager will send a Rollback command to all resource managers. From a developer s point of view, distributed transactions are very similar to regular transactions. The major difference is that you need to use the following statement to start the transaction:
Begin Distributed Tran[saction] [transaction_name]
Distributed transactions can also be started implicitly, by executing a query or stored procedure that will be run against distributed servers. Transactions are completed with regular Commit or Rollback statements. The following stored procedure updates two tables in a local database and then updates information in a remote database using a remote stored procedure:
Alter Procedure prClearLeaseShedule_distributed -- Set value of Lease of all equipment associated to 0 -- Set total amount of Lease Schedule to 0. -- notify lease company that lease schedule is completed @intLeaseScheduleId int As Declare @chvLeaseNumber varchar(50), @intErrorCode int -- Verify that lease has expired If GetDate() < (Select EndDate From LeaseSchedule Where ScheduleId = @intLeaseScheduleId)
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