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The Number type, on the other hand, represents numeric values. A number value is represented in code using number literals, which are simply numeric characters written directly in the JavaScript program. Also within the Number type are two special values represented by the variables Infinity and NaN. The Infinity variable represents the value of numeric infinity in other words, a really, really large number (mindblowing, in fact). The NaN, meanwhile, represents the special not-a-number value, which is the result of an impossible mathematical operation like squaring a negative number. NaN also represents any non-numeric value cast into the Number type. You can check whether a number value is NaN using the built-in isNaN function, and whether a value is not Infinity using the isFinite function.

Once you re in design mode for a form, you ll see the list of design tasks in the right-hand task pane. These tasks are your options for managing and designing your form. Let s walk through each of the tasks in detail.

Reporter reporter = null; /** Take this early, it is handy to have. */ TaskAttemptID taskId = null; /** * If we are constructing new keys or values for the output, it is a * best practice to generate the key and value object once, and reset * them each time. Remember that the map method is an inner loop that * may be called millions of times. These really can't be used without * knowing an actual type */ K2 outputKey = null; V2 outputValue = null;

Note Like undefined, Infinity and NaN are variables, so you ll also have to be careful not to overwrite their default values. These variables have also been declared as read-only in ECMAScript 5.

Many installations use the Spring Framework to manage the services employed by their applications. One of the more interesting issues is how to use Spring in environments where Spring does not have full control over the creation of class instances. Spring likes to be in full control of the application and manage the creation of all of the Spring bean objects. In the Hadoop case, the Hadoop framework is in charge and will create the object instances. The examples in this section demonstrate how to use Spring to initialize member variables in the mapper class. The same techniques apply to the reducer class. Listing 5-4 shows the bean file used in the Spring example. The file mapper.bean.context. xml in the downloadable examples src/config directory is the actual file used. Listing 5-4. Simple Bean Resource File for the Spring-Initialized Task < xml version="1.0" encoding="UTF-8" > <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd"> <bean id="SampleMapperJob.mapper.bean.name" class="com.apress.hadoopbook.examples.ch5.SampleMapperRunner.SampleMapper" lazy-init="true" scope="singleton"> <description> Simple bean definition to provide an example for using Spring to initialize context in a Mapper class.</description> <property name="springSetString"><value>SetFromDefaultFile</value></property> <property name="springSetInt"><value>37</value></property> </bean> </beans>

This task pane (Figure 3-3) provides the basic structure for laying out your form. You have a number of predefined table layouts you can insert, as well as a complement of table actions that you can perform. I ve found it most useful to start with Table with Title, and then nest tables within the main table to provide structure to the form.

To create an application context, you need to provide Spring with a resource set from which to load bean definitions. Being very JobConf-oriented, I prefer to pass the names of these resources, and possibly the resources themselves, to my tasks via the JobConf and DistributedCache objects. The example in Listing 5-5 extracts the set of resource names from the JobConf object, and if not found, will supply a default set of resource names. This follows the Hadoop style of using comma-separated elements to store multiple elements in the configuration. The set of resources names are unpacked and passed to the Spring Framework. Each of these resources must be in the classpath, which includes the task working directory. At the very simplest, the user may specify the specific Spring configuration files on the command line via the -files argument, when the GenericOptionsParser is in use. The mapper class will need to determine the name of the file passed in via the command line. For the example, set up the Spring initialization parameters on the application command line as follows: hadoop jar appJar main-class files spring1.xml,spring2,xml,spring3.xml D mapper.bean.context=spring1.xml