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ou ve used several wizards to create databases in a matter of minutes. Now you ll dive to the lowest level to see exactly how to accomplish database creation (and related configuration and management tasks) using SQL. By using data definition language (DDL) commands, I ll show you that databases can be created in a flash by leveraging intuitive DB2 defaults. I ll also show you how to leverage all the flexibility DB2 has to offer when creating and managing databases. To appreciate and understand the options as I present them, a quick tour of the fundamental building blocks of DB2 databases is in order. Let s take a quick look at the anatomy of a DB2 database, from the lowest level on disk to the highest conceptual point where users create objects and manipulate data.

This is the body of our SLSB, with the necessary items in place to perform the house addition. As you can see, it does not take much code a lot less than Struts would require. EntityManager is a normal component of the SLSB that I discussed in 4, so I will not explain that any further. The House object is an entity bean, with @In and @Out annotations. I will discuss these annotations further later in the chapter. For now, just realize that these annotations tell the Seam interceptors to populate that object and return it. Listing 5-7 shows our EB House object.

Figure 1-12. This picture was taken with a focal length of 6mm. Note how far apart the cones and trees look at this focal length; you can see a large field of view.

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When users need to create an index or insert some rows into a table, the last thing they want to do is take control of how those things will be stored or even where they will be stored. Although that kind of precision control was all the rage in the 1970s, those preferences have gone the same way as paisley flares and disco. Abstracting away these low-level details helps a developer or database administrator concentrate more on the actual data model and less on how spinning platters of rusting metal react under an electrostatic charge. The first level of abstraction used in DB2 logically separates storage for objects and data into tablespaces. As the name suggests, a tablespace provides a space for storing tables, other objects such as indexes, and the data associated with these objects. Tablespaces come in different flavors, which I ll discuss shortly, and a database can have numerous tablespaces. A tablespace belongs entirely to one database; it isn t shared across databases. A user references a tablespace by its logical name or ID number there s no need to know how or where a tablespace s underlying storage is handled. Tablespaces deal with the disk level of storage through yet more abstraction. For purposes of using part of the space from a filesystem or a raw device, a tablespace uses the concept of a container. A container, which can come in a number of varieties, is the point of indirection between tablespaces and disks at this conceptual level. A tablespace can have more than one container, and containers are used by only one tablespace at a time.

@Entity @Name("house") public class House { private private private private private private long houseId; String address; String city; String state; Date startTime; Date endTime;

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