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Unlike the other mobile device events, the touch events need to represent that there are multiple points of data the many potential fingers present at the same time. As such, the API for touch handling is a little bit more complex as shown in Listing 11-2. Listing 11-2. Touch API function touchMove(event) { // the touches list contains an entry for every finger currently touching the screen var touches = event.touches; // the changedTouches list contains only those finger touches modified at this // moment in time, either by being added, removed, or repositioned varchangedTouches = event.changedTouches; // targetTouches contains only those touches which are placed in the node // where this listener is registered vartargetTouches = event.targetTouches; // once you have the touches you'd like to track, you can reference // most attributes you would normally get from other event objects varfirstTouch = touches[0]; varfirstTouchX = firstTouch.pageX; varfirstTouchY = firstTouch.pageY; } // register one of the touch listeners for our example node.addEventListener("touchmove", touchMove, false); You may find that the device s native event handling interferes with your handling of the touch and gesture events. In those cases, you should make the following call: event.preventDefault(); This overrides the behavior of the default browser interface and handles the event yourself. Until the mobile events are standardized, it is recommended that you consult the documentation of the devices you are targeting with your application.

Spring offers three JDBC templates for working with data access technologies such as JDBC, JDO, and Hibernate: JdbcTemplate: This is the most primitive of Spring s JDBC templates. It is the central class in Spring s JDBC core package. It abstracts away the creation and release of resources for JDBC and executes SQL queries. NamedParameterJdbcTemplate: This template adds support for coding JDBC statements using named parameters instead of statements using classic placeholders ( ). This class wraps the JdbcTemplate to do much of the work. SimpleJdbcTemplate: This is an upgrade to the JdbcTemplate. It takes advantages of Java 5 features, such as generics and variable parameter lists, to further simplify the use of JDBC. Note that SimpleJdbcTemplate requires Java 5 or above. These templates give a layer af abstraction and implement methods for providing the data source and configuration parameters associated with the data access solutions. For our e-commerce application example, we ll use the SimpleJdbcTemplate. The bean configuration required to use SimpleJdbcTemplate in Spring starts with defining the bean in the applicationContext.xml file, as shown in Listing 8-12. We will reuse the ecommerceDao and ecommerceService beans with each of the three data persistence solutions.

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Table_locks_immediate is the number of times that a table lock was acquired immediately, and Table_locks_waited is the number of times a table lock could not be acquired immediately and a wait was needed. If the Table_locks_waited value is high, and you are having performance problems, you may want to split up large tables; for example, you might create a dedicated cache table for a custom module or consider ways to reduce the sizes or the frequency of the table lock commands. One way to reduce table sizes for some tables, such as the cache_*, watchdog, and accesslog tables, is by reducing the lifetime of the data. This can be done within the Drupal administrative interface. Also, making sure cron is being run as often as once an hour will keep these tables pruned. Because Drupal can be used in many different ways, it is impossible to give an acrossthe-board recommendation as to which tables should use which engine. However, in general, good candidates for conversion to InnoDB are the cache, watchdog, sessions, and accesslog tables. Fortunately, the conversion to InnoDB is very simple: ALTER TABLE accesslog TYPE='InnoDB'; Of course, this conversion should be done when the site is offline and your data has been backed up, and you should be informed about the different characteristics of InnoDB tables.

TABLES command in core code, though the database API offers the db_lock_table() and db_unlock_tables() functions for contributed modules that need them.

For MySQL performance tuning, check out the performance tuning script at http:// www.day32.com/MySQL/, which provides suggestions for tuning MySQL server variables.

Listing 8-12. The Bean Definitions in applicationContext.xml for the JDBC Implementation < xml version="1.0" encoding="UTF-8" > <!DOCTYPE beans PUBLIC "-//SPRING//DTD BEAN//EN" "http://www.springframework.org/dtd/spring-beans.dtd"> <beans> <!-- START JDBC DAO config --> <bean id="ecommerceDao" class="com.af.core.dao.jdbc.EcommerceJdbcDaoImpl"> <property name="dataSource" ref="dataSource" /> </bean> <!-- END JDBC DAO config --> <!-- START Service config --> <bean id="ecommerceService" class="com.af.core.services.EcommerceServiceImpl"> <property name="ecommerceDao"><ref bean="ecommerceDao"/></property> </bean> <!-- ENDService config --> </beans> We have already written the service layer and the interface for the ecommerceDao bean, as you can see earlier in Listings 8-7, 8-8, and 8-9. Since that is done, all you need to do is write the code for the EcommerceDao implementation. This is the component that will change when you migrate to a new ORM solution. It is an interchangeable part of the Spring DAO architecture. For this bean, we will define four functions: getProducts(), deleteProduct(), insertProduct(), and updateProduct(), as shown in Listing 8-13. These will serve as the base CRUD operations to execute for the Product domain object. Listing 8-13. The EcommerceDaoImpl with JDBC Support package com.af.core.dao.jdbc; import java.util.List; import javax.sql.DataSource; import import import import org.springframework.jdbc.core.namedparam.BeanPropertySqlParameterSource; org.springframework.jdbc.core.simple.ParameterizedBeanPropertyRowMapper; org.springframework.jdbc.core.simple.SimpleJdbcTemplate; org.springframework.dao.DataAccessException;

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