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Another downside to the TABLE strategy is that the value of the pono field can still be set via the setPono method or directly with an INSERT statement, and the current value of the pono_gen sequence stored in the pono_gen_table table will not change. Furthermore, if the generated value happens to be already present in the pono field of an existing record in the orders table, then an error will occur upon trying to persist that new Order instance. Even worse, if such an error occurs, you won t be able to overcome it by retrying to perform the persist operation on the same Order instance. Each new attempt will fail, causing the transaction to be rolled back. Therefore, the current value of the table generator used here will never be increased, unless you manually change the pono field of the instance being inserted or change the current value of the table generator by directly updating the pono_gen_table table. Using the IDENTITY primary key generation strategy lets you avoid all these problems (at least, this is true when your underlying database is MySQL). This strategy implies that the persistence provider actually exploits the primary key generation mechanism provided by the database server, which will handle all the data integrity issues using its built-in functionality. Unfortunately, not all databases support the IDENTITY strategy. MySQL is one of those that support it. If your underlying database is MySQL, you can now alter the orders table created as shown in Listing 6-4 in 6. To do this, you need to connect to the database server as usrsample user and then issue the ALTER statement shown in Listing 9-15. Listing 9-15. Setting the AUTO_INCREMENT Attribute to the pono Column of the orders Table use dbsample; ALTER TABLE orders MODIFY pono INTEGER AUTO_INCREMENT;

The text() method is a method of the jQuery object..

Caution Although the examples discussed in this chapter are implemented in separate projects, and as

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reduce function accepts three arguments key, values, and rereduce. It must return a single-value result. Listing 8-4 shows the simplest example of a reduce function. Listing 8-4. A Basic Reduce Function function(key, values, rereduce) { return sum(values); } Assuming that the view s corresponding map function emits number values, this reduce function will return a result of the sum of the value of each row contained in the view. Depending on the amount of data being processed, the reduce operation may be broken down into smaller chunks by CouchDB. When this happens, the data will be processed by the reduce function before sending the result to the reduce function with the rereduce argument set to true. Take Listing 8-4 as an example. Say CouchDB decides to break the data to be processed into three groups: Group A: 1, 4, 5 Group B: 3, 4, 8 Group C: 9, 2, 5

stated in the beginning of the chapter, you temporarily digressed from the main book sample project that you started building in the preceding chapters, altering the orders underlying table will, of course, affect the sample discussed throughout the book. So, if you re implementing the underlying database in MySQL, you must modify the Order.java file shown in Listing 8-3 and used in the main book sample, as shown in Listing 9-16 in this section.

$("p").bind("click", function(){ alert( $(this).text() ); }); Chaining works so well because jQuery returns a jQuery object each time. In fact, $() is really just a shortcut to the jQuery function. The function uses itself as a class to instantiate new objects from itself each time it is run. In doing so, the jQuery object can be accessed much like a singleton (as in the following example) or as an object generator (as in the preceding examples). This example instantiates an Ajax request and grabs the responseText property from that, assigning it to a variable (check out 5 for more information on how Ajax works): var html = $.ajax({ url: "/servercall/", async: false }).responseText; For documentation on jQuery, visit http://docs.jquery.com.

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