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As you can see, the number of available copies for the book with the ISBN 1430209631 was reduced by 5. That means the updateBooks stored procedure works fine, as well as the newdetail BEFORE INSERT trigger. Finally, you need to test the newquantity BEFORE UPDATE trigger. To do this, you might issue the following statement: INSERT INTO details VALUES(1, '1590595300', 15, 49.99); This time, the third parameter representing the number of book copies being ordered is 15, which exceeds the available amount of book copies specified in the books table. So, this statement should fail, outputting an error generated by the newquantity trigger. Since you failed to insert another record into the details table, you should roll back the changes made by the previous two insert operations. In particular, you should roll back the insert into the orders table and the preceding successful insert into the details table. You can do this with the following statement: ROLLBACK; With that done, you should check all the tables again: SELECT * FROM orders; This should give you the following output: Empty set (0.00 sec) When querying the details table: SELECT * FROM details; you should have the same result: Empty set (0.00 sec) Finally, when querying the books table: SELECT isbn, quantity FROM books; you should see the following output: isbn quantity --------------------------------1430209631 10 1590595300 10 This is what you started with. The same is true for the orders and details tables; when the transaction started, these tables were empty.

Note In the previous example, you decided to roll back the transaction based on that the last insert statement has failed, manually entering the ROLLBACK statement. This is a test, however. For an application deployed within an application server, the rollback operation will be automatically performed upon the failure of any operation included into the transaction. This was discussed already in the Transaction Considerations section in 4 and will be discussed in more detail in 13.

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Now return to the Overview page, and you ll notice that the more_books database will have the same number of documents as the books database. The size may be larger, but that is because it has kept placeholders for each revision of the database. If you want, you can compact the more_books database to get it to match the size of the books database. Of course, in a real scenario, replicating a database on the same server doesn t have much use, and you d be far more likely to replicate the database across a network to a remote CouchDB server. This example simply shows how easy it is to replicate a CouchDB database.

You can decide to ignore the this keyword and explicitly return your own object with methods and properties attached to it: var Adder = function(valueA, valueB){ var newvalue = valueA + valueB; var object = new Object(); object.value = newvalue; object.result = function(){ alert(this.value) }; return object; }; var added = new Adder(5, 6); added.result(); // it's 11! Being able to return an object like this gives you plenty of flexibility, especially when it comes to handling inheritance. This next example uses an object literal (which will be discussed in a little bit):

Summary

Summary

Without long introductions, this chapter told you exactly what you needed to do to build the underlying database for the sample application. In particular, it walked you through the steps of building all the database objects required for the sample application to work. In the next chapter, you will look at how to build the data source on your GlassFish application server to be used as the bridge between the underlying database created as discussed here and the other sample application s layers being discussed in the later chapters.

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