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an 8KB blocksize, we will find about 100 rows per block. That means the table has approximately 1,000 blocks. From here, the math is very easy. We are going to read 20,000 rows via the index; this will mean, quite likely 20,000 TABLE ACCESS BY ROWID operations. We will process 20,000 table blocks to execute this query. There are only about 1,000 blocks in the entire table, however! We would end up reading and processing each block in the table on average 20 times. Even if we increased the size of the row by an order of magnitude to 800 bytes per row, and 10 rows per block, we now have 10,000 blocks in the table. Index accesses for 20,000 rows would cause us to still read each block on average two times. In this case, a full table scan will be much more efficient than using an index, as it has to touch each block only once. Any query that used this index to access the data would not be very efficient until it accesses on average less than 5 percent of the data for the 800-byte column (then we access about 5,000 blocks) and even less for the 80-byte column (about 0.5 percent or less).



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Typically, @PrimaryKeyJoinColumn is used in one-to-one relationships when both the referenced and referencing tables share the primary key of the referencing table. In our example, as shown in figure 8.5, the BILLING_INFO table would contain a foreign key reference named BILLING_USER_ID pointing to the USER_ID primary key of the USERS table. In addition, BILLING_USER_ID would be the primary key of the BILLING_INFO table. The relationship would be implemented as shown in listing 8.8.

How the data is organized physically on disk deeply impacts these calculations, as it materially affects how expensive (or inexpensive) index access will be. Suppose you have a table where the rows have a primary key populated by a sequence. As data is added to the table, rows with sequential sequence numbers might be in general next to each other.





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Due to our tag files, this page is fairly succinct and easy to read Another reason for this is our use of the <spring:nestedPath> tag We take advantage of it to make the tags for the address fields a bit easier to read and write Without the <spring:nestedPath path="account billingAddress"> tag, the tag:formField tags would need to include the entire path to the fields: <tag:formField name="Street" path="accountbillingAddressstreet" /> As you can imagine, this would become verbose and tedious Not only do we save typing by using <spring:nestedPath>, but we re now able to create generic address XHTML code without worrying what the full path to the fields are For instance, we can use the same chunk of XHTML to display an address for both a billing address and a shipping address.

@Entity @Table(name="USERS") public class User { @Id @Column(name="USER_ID") protected Long userId; ... @OneToOne @PrimaryKeyJoinColumn(name="USER_ID", referencedColumnName="BILLING_USER_ID") protected BillingInfo billingInfo; } @Entity @Table(name="BILLING_INFO") public class BillingInfo { @Id @Column(name="BILLING_USER_ID") protected Long userId; ... }

Note The use of features such as ASSM or multiple freelist/freelist groups will affect how the data is

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The @PrimaryKeyJoinColumn annotation s name element refers to the primary key column of the table storing the current entity. On the other hand, the referencedColumnName element refers to the foreign key in the table holding the referenced entity. In our case, the foreign key is the BILLING_INFO table s BILLING_ USER_ID column, and it points to the USERS.USER_ID primary key. If the names of both the primary key and foreign key columns are the same, you may omit the referencedColumnName element since this is what the JPA provider will assume by default. In our example, if we rename the foreign key in the BILLING_INFO table from BILLING_USER_ID to USER_ID to match the name of the primary key in the USERS table, we may omit the referencedColumnName value so that the provider can default it correctly.

organized on disk. Those features tend to spread the data out, and this natural clustering by primary key may not be observed.

If you have a composite primary key in the parent table (which is rare if you are using surrogate keys), you should use the @PrimaryKeyJoinColumns annotation instead. We encourage you to explore this annotation on your own. You ll learn how to map one-to-many and many-to-one relationships next.

Finally, we present the success page to complete the list of JSP required for the wizard, shown by Listing 6-71 Listing 6-71 Wizard Success Page < < xml version="10" encoding="ISO-8859-1" > <!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 10 Strict//EN" "http://wwww3org/TR/xhtml1/DTD/xhtml1-strictdtd"> <html xmlns="http://wwww3org/1999/xhtml"> <head> <meta http-equiv="Content-Type" content="text/html; charset=ISO-8859-1" /> <title>Account Successfully Created</title> </head> <body> <h1>Account Successfully Created</h1> <p> Congratulations, ${accountusername}, your account was created successfully </p> </body> </html> Command Bean Every good wizard needs a command bean that contains all the form fields from all those pages Because we are writing a Spring MVC application, we will use the Account class from our domain model This class contains the username, password, email address, and billing address of the user.

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