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Triggers are PL/SQL programs that are set up to execute in response to a particular event on a table in the database. The events in question can take place FOR EACH ROW or for a SQL statement, so I call them row-level or statement-level triggers. The actual events associated with triggers can take place BEFORE, AFTER, or INSTEAD OF an INSERT, an UPDATE, or a DELETE SQL statement. Accordingly, you can create triggers for any of the events in Table 1-4.

Listing 3-1. Java Implementation of Odd Filtering int[] x = {1,2,3,4,5}; ArrayList<Integer> res = new ArrayList<Integer>(); for (int v : x) { if (v % 2 == 1) res.add(new Integer(v)); }

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So let s say we want to play a practical joke. Are you with me here We don t want anyone to ever be able to add the name Jonathan Gennick (my editor, who is actually a genius in his own right, but it s fun to mess with him) to our list of database geniuses. Listing 1-10 shows a trigger created to prevent such an erroneous thing from happening. Listing 1-10. A Trigger Against the Author Table, author_bir.trg 01 02 03 04 05 06 07 08 09 10 CREATE OR REPLACE TRIGGER author_bir BEFORE INSERT ON author FOR EACH ROW BEGIN if upper(:new.name) = 'JONATHAN GENNICK' then raise_application_error(20000, 'Sorry, that genius is not allowed.'); end if; END; / The syntax used in Listing 1-10 is as follows: CREATE [OR REPLACE] TRIGGER <trigger_name> BEFORE INSERT ON <table_name> FOR EACH ROW BEGIN <pl/sql> END; where <trigger_name> is the name of the trigger, <table_name> is the name of the table for which you re creating the trigger, and <pl/sql> is the PL/SQL program you ve written to be executed BEFORE someone INSERTs EACH ROW. The brackets ([ ]) around the OR REPLACE keyword denote that it is optional. The OR REPLACE clause will allow you to re-create your trigger if it already exists.

bean to be created from the class, the autowiring approach to be used (if any), and whether dependency checks should be carried out to determine if the class can be instantiated. Although the annotation concerned is quite straightforward, it suffers from some of the problems discussed in the earlier Autowiring section. Because it uses AspectJ-specific aspect-oriented programming (AOP) facilities, it also requires the configuration and use of the AspectJ code-weaving capabilities. Finally, it creates dependency-specific information in the source code, something that seems to be a move in the opposite direction to the rest of the Spring philosophy. AOP is discussed in depth in 5, but I do not use the @Configurable annotation any further in this book.

In this code, the logic gets lost in the boilerplate. There are two pieces of logic that we are concerned with: what operation is being performed and the formula for that logic. When you first write the previous code, you know what the intent is. If you didn t comment your code with // filtering the odd array elements, you, or someone who picks up the code in a year or two, will have to puzzle about the meaning of the loop. The filter logic is buried in the middle of the code. Compare the Java code to the line of Scala code: filter(v => v % 2 == 1), where the very essence of the operation appears in the code and nothing else. As the complexity of your code increases and the time between writing and maintaining a particular module increases, removing boilerplate while maintaining visible business logic makes code easier to maintain and decreases defects. Let s look at the takeWhile Java translation in Listing 3-2.

A view represents the definition of a SQL query (SELECT statement) as though it were just another table in the database Hence, you can INSERT into and UPDATE, DELETE, and SELECT from a view just as you can any table (There are some restrictions on updating a view, but they can be resolved by the use of INSTEAD OF triggers) Here are just a few of the uses of views: Transform the data from multiple tables into what appears to be one table Nest multiple outer joins against different tables, which is not possible in a single SELECT statement Implement a seamless layer of user-defined security against tables and columns Let s say we want to create a view that combines the author and publication tables so it s easier for a novice SQL*Plus user to write a report about the publications written by each author.

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