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private int productID; private String SKU; private String productName; private String productDescription; private int supplierID; private int categoryID; private int unitQuantity; private float unitPrice; private float MSRP; private String availableSize; private String availableColors; private String size; private String color; private String image; // Constructors, Getters and Setters } This domain object will be used with JDBC, iBATIS, and Hibernate. We will share this object between the three different data-access techniques to show how domain objects can be shared throughout a Spring application when the data access objects change. One of the benefits of Springs DAO layer is that you can switch ORM and JDBC solutions without rewriting much code in your application that is, if you implement the DAO pattern correctly in Spring. One of the mistakes developers make is combining presentation and business logic in the data access layer. You want to keep the data access logic separated and contained in DAOs. In building the e-commerce site to display products, we will be interchanging three persistence solutions, and you will see how to keep the DAOs separate from the other layers to ensure you have a smooth transition when changing your ORM or JDBC solution. For the e-commerce application, we need to create a DAO to support insert, update, delete, and retrieve operations, each of which is carried out by a DAO method, as shown in Listing 8-7. These four methods should be defined in the DAO interface to allow for different implementation technologies such as Hibernate and iBATIS. As we progress through the different data access solutions, these interfaces and classes will evolve to fit the solution. Listing 8-7. The EcommerceDao Interface package com.af.core.dao; import com.af.core.domain.Product; import java.util.List; public interface EcommerceDao { public List<Product> getProducts(); public int deleteProduct(Product product); public int insertProduct(Product product); public int updateProduct(Product product); }

Are the disks maxed out If examining the disk subsystem with a tool like vmstat on Unix or the Performance Monitor on Windows shows that disk activity cannot keep up with the demands of the system while plenty of free RAM remains, you ve got an I/O problem. Possibilities include excessively verbose logging, an improperly configured database that is creating many temporary tables on disk, background script execution, improper use of a RAID level for a write-heavy application, and so on. Is the network link saturated If the network pipe is filled up, there are only two solutions. One is to get a bigger pipe. The other is to send less information while making sure the information that is being sent is properly compressed.

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s Investigating your page serving performance from outside your server is also useful. A tool like YSlow Tip (http://developer.yahoo.com/yslow/help/) can be helpful when pinpointing why your pages are not downloading as quickly as you d like when you haven t yet hit a wall with CPU, RAM, or I/O. A helpful article on YSlow and Drupal can be found at http://wimleers.com/article/improving-drupals-pageloading-performance.

The simplest event to handle on a mobile device is the orientation event. The orientation event can be added to the document body: <body onorientationchange="rotateDisplay();"> In the event handler for the orientation change, your code can reference the window.orientation property. This property will give one of the rotation values shown in Table 11-1, which is relative to the orientation the device was in when the page was initially loaded. Table 11-1. Orientation Values and Their Meanings

If your CPU is maxed out and the process list shows that the resources are being consumed by the web server and not the database (which is covered later), you should look into reducing the web server overhead incurred to serve a request. Often the execution of PHP code is the culprit. PHP Optimizations Because PHP code execution is a big part of serving a request in Drupal, it s important to know what can be done to speed up this process. Significant performance gains can be made by caching PHP operation codes (opcodes) after compilation and by profiling the application layer to identify inefficient algorithms. Operation Code Caching There are two ways to reduce the CPU resources used to execute PHP code. Obviously, one is to reduce the amount of code by disabling unnecessary Drupal modules and writing efficient code. The other is to use an opcode cache. PHP parses and compiles all code into an intermediate form consisting of a sequence of opcodes on every request. Adding an opcode cache lets PHP reuse its previously compiled code, so the parsing and compilation are skipped. Common opcode caches are Alternative PHP Cache (http://pecl.php.net/package/APC), eAccelerator (http://eaccelerator.net), XCache (http://xcache.lighttpd.net/), and Zend Platform (http://zend.com). Zend is a commercial product while the others are freely available. The interface for APC is shown in Figure 22-1. Because Drupal is a database-intensive program, an opcode cache should not be regarded as a single solution but as part of an integrated strategy. Still, it can give significant performance gains for minimal effort.

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