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OK, it s time to stop listening to me blab on about indexes, and time for you to start creating one. Here s the drill: 1. Write a DDL script to create a non-unique index on the publication table. 2. Save the DDL script with the same filename as your index name, but with an .ndx extension. 3. Execute your script in SQL*Plus by typing an at sign (@) followed by the filename at the SQL> prompt. You should now have a non-unique index in the database, just waiting for you to query against it. If not, try to make some sense out of the error message(s) you got, correct your script, and then try again. My shot at this is shown in Listing 1-4.

This is a much loved computer science puzzle: You have a chessboard, and eight queen pieces to place on it. The only requirement is that none of the queens threatens any of the others; that is, you must place them so that no two queens can capture each other. How do you do this Where should the queens be placed This is a typical backtracking problem: you try one position for the first queen (in the first row), advance to the second, and so on. If you find that you are unable to place a queen, you backtrack to the previous one and try another position. Finally, you either exhaust all possibilities, or find a solution. In the problem as stated, you are provided with information that there will be only eight queens, but let s assume that there can be any number of queens. (This is more similar to realworld backtracking problems.) How do you solve that If you want to try to solve it yourself, you should stop reading now because I m about to give you the solution.

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In Spring you typically inject specific implementations of an interface into other beans via an XML configuration file referred to as an application context Therefore in a Spring application your POJOs or beans do not have their dependencies explicitly constructed in the code Instead, dependencies are injected by the container at runtime For example, in a typical Spring Web application using the DAO pattern, you ll have interfaces defining the DAOs and interfaces defining the services In the implementation of a service, a property for a DAO is defined (using the interface) along with a setter or a constructor that takes the DAO as a parameter The Spring application context XML configuration contains a definition of the specific implementation of the DAO interface that will be injected into the service class (using the setter or the constructor provided).

Listing 1-4. DDL for Creating an Index on the Title Column in the Publication Table, publication_k1.ndx 1 2 3 CREATE INDEX publication_k1 on publication ( title );

Now you know how to create a table and an index or two to make accessing it efficient, but what prevents someone from entering bad data Well, that s what constrains are for.

Note There are, in fact, much more efficient solutions available for this problem. If you want more details,

At runtime, the Spring container using the application context will correctly wire the beans and the collaborators needed to fulfill its functions This is contrary to the lookup-based approached of EJB 2X, in which the service locator pattern along with factories and straight object construction is used to wire all collaborators in a system In a typical EJB 2X system, a service locator is used as a way to pull the dependencies (typically from JNDI) into a component (all this is done programmatically from within the component itself) This doesn t mean that JNDI isn t a powerful abstraction for resource management, but the implementation in EJB 2X forced this pull usage of JNDI and a dependence on the JNDI API (making it harder to test without having JNDI available and therefore in most cases a container) and requiring a lot of code to perform lookups.

Constraints are rules for a table and its columns that constrain how and what data can be inserted, updated, or deleted. Constraints are available for both columns and tables.

Columns may have rules that define what list of values or what kind of values may be entered into them. Although there are several types of column constraints, the one you will undoubtedly use most often is NOT NULL. The NOT NULL constraint simply means that a column must have a value. It can t be unknown, or blank, or in SQL jargon, NULL. Listing 1-5 shows the author table script updated with NOT NULL constraints on the id and name columns. Listing 1-5. DDL for Creating the Author Table with NOT NULL Column Constraints, author.tab 1 2 3 4 5 CREATE TABLE author ( id name birth_date gender

a Web search should turn up a wealth of information. A brief history of various solutions may be found at http://www.cit.gu.edu.au/~sosic/nqueens.html.

number varchar2(100) date, varchar2(30) );

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