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Once the SNAPSHOT isolation level is turned on for a database, it can be set for a transaction using SET TRANSACTION ISOLATION LEVEL SNAPSHOT. Its behavior as compared to other isolation levels is best illustrated with a hands-on example. The following table is created in a database with row versioning enabled: CREATE TABLE TestSnapshot ( ColA INT, ColB VARCHAR(20) ) INSERT TestSnapshot (ColA, ColB) VALUES (1, 'Original Value') Now assume that two SQL Server Management Studio connections are open to the database. In the first, the following T-SQL is executed:

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In the previous chapter, you created a form for the users to submit bug reports. Now that you have created the database, you need to create a table to store these bug reports in. Table 4-1 describes the bugs table that you ll create.

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SET TRANSACTION ISOLATION LEVEL SNAPSHOT BEGIN TRANSACTION SELECT ColB FROM TestSnapshot WHERE ColA = 1 This query returns the value 'Original Value' for ColB. With the transaction still running, the following T-SQL is executed in the second connection: UPDATE TestSnapshot SET ColB = 'New Value' WHERE ColA = 1 This update will execute successfully and will return the message '(1 row(s) affected)'. Had the REPEATABLE READ isolation level been used in the first connection, the update would have been blocked waiting for the transaction to finish. Back in the first window, the SELECT can be run again. It will still return the value 'Original Value', even though the actual value has been updated. Had the transaction been using the READ UNCOMMITTED isolation level, results would not be consistent between reads and the value returned the second time would have been 'New Value'. This is a very simple example to show the power of the SNAPSHOT isolation level to deliver consistent yet nonblocking results. It represents a very powerful addition to SQL Server s arsenal.

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The base, the exponent, or both can be either an integer or a decimal fraction. These are passed, base first, without any intervening operator: $ pow 12 4 20736

Although SNAPSHOT provides consistent repeated reads like the REPEATED READ isolation level, it has a very different behavior when it comes to writing data. Should a SNAPSHOT isolated transaction read some data and then attempt to update it after another transaction has updated it, the entire SNAPSHOT transaction will be rolled back. This is similar to a deadlock and will need to be handled the same way in production code. To illustrate this behavior, we ll use the same TestSnapshot table from the previous example. In this case, however, suppose that the goal is to select some data into a temporary table, perform some very complex logic, and then update the table. First, the data is inserted into a temporary table: SET TRANSACTION ISOLATION LEVEL SNAPSHOT BEGIN TRANSACTION SELECT ColB INTO #Temp FROM TestSnapshot WHERE ColA = 1 The temporary table, #Temp, now contains a row with the value 'Original Value'. As before, another transaction is operating on the TestSnapshot table in another connection with an update: UPDATE TestSnapshot SET ColB = 'New Value' WHERE ColA = 1 After this, the first transaction has completed its complex logic and attempts to do an update of its own: UPDATE TestSnapshot SET ColB = 'Even Newer Value' WHERE ColA = 1

Unfortunately, this results in the following error: Msg 3960, Level 16, State 1, Line 1 Cannot use snapshot isolation to access table 'TestSnapshot' in database 'Sales'. Snapshot transaction aborted due to update conflict. Retry transaction. So what s the moral of this story Treat any SNAPSHOT transaction that performs data updates exactly like transactions that are susceptible to deadlocks. Put code in place around these transactions to ensure that when this error occurs, an appropriate course of action will be taken.

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