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--2 DECLARE @IDTable TABLE(ArrayIndex INT NOT NULL IDENTITY, ID INT); DECLARE @RowCount INT; DECLARE @ID INT; DECLARE @Count INT = 1; --3 INSERT INTO @IDTable(ID) VALUES(500),(333),(200),(999); --4 SELECT @RowCount = COUNT(*) FROM @IDTable; --5 WHILE @Count <= @RowCount BEGIN --5.1 SELECT @ID = ID FROM @IDTable WHERE ArrayIndex = @Count; --5.2 PRINT CAST(@COUNT AS VARCHAR) + ': ' + CAST(@ID AS VARCHAR); --5.3 SET @Count += 1; END; Figure 7-22 shows the results. Statement 1 sets the NOCOUNT property to ON. This will remove the messages showing how many each statement affects. In this case, the messages just get in the way. Code section 2 declares the variables used in this example. The table variable, @IDTable, contains an identity column called ArrayIndex. See 6 for more information about identity columns. Statement 3 populates @IDTable with several values. Since the database engine populates the INDEX column automatically, you now have a two-dimensional array. Statement 4 populates the @RowCount variable with the number of rows in @IDTable. Code section 5 is a WHILE loop that runs once for each row in @IDTable. During each iteration of the loop, statement 5.1 sets the value of @ID with the ID column from @IDTable corresponding to the ArrayIndex column matching @Count. Statement 5.2 prints the @Count and @ID values, but you could do whatever you need to do instead of just printing the values. Statement 5.3 increments the @Count.

ext2online makes it possible to resize a live file system. However, because resizing file systems is very

<bean id="userAccountService" class="com.apress.timesheets.service.UserAccountServiceImpl" p:userAccountDao-ref="hibernateUserAccountDao"/>

labor intensive, I wouldn t recommend doing it this way. There s always a risk that it won t work out simply because all of the work that has to be done. So, to stay on the safe side, umount your volume before resizing it.

Figure 7-22. The results of using an array Temp tables and table variables are just more tools in your T-SQL tool belt, but use them wisely.

1. Use umount /data to unmount the volume from the directory /data. 2. Before shrinking the volume itself, you must shrink the file system used on it. Use resize2fs /dev/system/data 2G to make it a 2 GB file system. 3. Now you have to resize the volume itself: use lvreduce -L -1G /dev/system/data.

You will not always want all the elements of an association loaded on all occasions that the parent entity is loaded. As an extreme example, consider a product catalog. Loading the basic details of the product catalog (such as its description) does not necessarily justify loading all of the associated details of the products contained within that catalog. Hibernate approaches this problem by allowing you to specify that associations are to be loaded lazily. When using the XML configuration files, this is the default behavior, but when using annotations (in order to comply with the JPA standard), it is not and I have therefore specified this explicitly in my annotations. Generally, lazy loading offers superior performance, so I would recommend turning on eager (the opposite of lazy) loading only when you have a specific performance problem and a reason to believe that lazy loading is the cause. The problem with lazy loading is that in order to allow the associated entities to be loaded at some later point than the loading of the original entity, it becomes necessary to create proxy objects to represent the real association objects, and to keep a reference to the Hibernate session in order to retain access to the database. If for any reason the session object is closed (releasing the associated database connection) prior to the attempt to access the lazy association, an exception will be thrown the notorious LazyInitializationException. Understanding the cause of the problem is half the battle, however, and Spring provides several tools allowing automated management of the Hibernate session to prevent the problem from arising. The HibernateSessionFilter approach used to resolve this problem in the example application is discussed in more depth in 6.

Another way to loop through a result set is by using a cursor. This is a very controversial topic, especially for beginners. Developers frequently overuse cursors and end up writing poorly performing code. I ll cover cursors so that you are familiar with them and so that you understand the example in the Thinking About Performance section. Type in and execute the code from Listing 7-25, which shows a simple example. Listing 7-25. Using a Cursor USE AdventureWorks2008; GO --1 DECLARE @ProductID INT; DECLARE @Name NVARCHAR(25); --2 DECLARE products CURSOR FAST_FORWARD FOR SELECT ProductID, Name FROM Production.Product; --3 OPEN products; --4 FETCH NEXT FROM products INTO @ProductID, @Name;

4 Finally, you can mount the volume again Use mount /dev/system/data /data 5 Use the df -h command to show the current size of the file system It should be a gigabyte smaller than it was before In this procedure, you learned how to shrink a volume, and of course you can increase its size as well When increasing a volume, you just have to invert the order of the steps First, you need to extend the size of the volume, and then the size of the file system can be increased as well After dismounting the volume, this is a two-step procedure: 1 Use lvextend -L+10G /dev/system/data to add 10 GB of available disk space from the volume group to the volume 2 Next, use resize_reiserfs -f /dev/system/data.