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The prototype object, like any other object, can have an unlimited number of members, and adding new members to it is simply a matter of assigning new values. We could rewrite our original Person code in this way: var Person = function(name, age){ this.name = name; this.age = age; }; Person.prototype.log = function(){ console.log(this.name + ', ' + this.age); }; var mark = new Person('Mark', 23); mark.log(); // 'Mark, 23' Here, we moved the declaration of our log method outside of the constructor. By assigning Person.prototype.log, we tell the interpreter that all objects created from the Person constructor should have a log method, and this is reflected in our last line where we call mark.log(). The rest of the constructor stays the same: we didn t move our this.name and this.age properties to the prototype because we want to be able to set them when we invoke our constructor. With prototypes in mind, we could also rewrite the code we had at the start of this section into something more manageable: var Person = function(name, age){ this.name = name; this.age = age; }; Person.prototype.setName = function(name){

As you ve seen, your first Hadoop job, in MapReduceIntro, produced sorted output, but the sorting was not suitable, as it sorted lexically rather than numerically, and the keys for the job were numbers. Now, let s work out what is required to sort numerically, using a custom mapper. Then we ll look at a custom reducer that outputs the values in a format that is easy to parse.

A section control doesn t directly affect the user. The form designer can use it for grouping controls. The first reason you may want to do this is to provide some structure to your data by putting in a section to group, say, all your header elements, you can then add some additional structure to your data in the resulting XML. Another reason you may want to use a section is to hide data by putting conditional display rules on a section, you can hide or show a section based on values in other fields.

Sorting numerically doesn t sound difficult. Let s try making the output key class a LongWritable, another class supplied by the framework: conf.setOutputKeyClass(LongWritable.class); instead of: conf.setOutputKeyClass(Text.class); The class with this change is available as MapReduceIntroLongWritable.java. Run this class via this command: hadoop jar DOWNLOAD_PATH/ch2.jar com.apress.hadoopbook.examples.ch2.MapReduceIntroLongWritable You will see the following in the output: mapred.LocalJobRunner: job_local_0001 java.io.IOException: Type mismatch in key from map: expected org.apache.hadoop.io.LongWritable, recieved org.apache.hadoop.io.Text at org.apache.hadoop.mapred.MapTask$MapOutputBuffer.collect(MapTask.java:415) at org.apache.hadoop.mapred.lib.IdentityMapper.map(IdentityMapper.java:37) at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:47) at org.apache.hadoop.mapred.MapTask.run(MapTask.java:227) at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:157) ch2.MapReduceIntroLongWritable: The job has failed due to an IO Exception As you can see, just changing the output key class was insufficient. If you are going to change the output key class to a LongWritable, you also need to modify the map function so that it outputs LongWritable keys. For the job to actually produce output that is sorted numerically, you must change the job configuration and provide a custom mapper class. This is done by two calls on the JobConf object: conf.setOutputKeyClass(LongWritable.class): Informs the framework of the key class for map and reduce output. conf.setMapperClass(TransformKeysToLongMapper.class): Informs the framework of the custom class that provides the map method that takes as input Text keys and outputs LongWritable keys.

this.name = name; }; Person.prototype.getName = function(){ return this.name; }; Person.prototype.setAge = function(age){ this.age = age; }; Person.prototype.getAge = function(){ return this.age; }; This new code is much cleaner because we re not cramming everything inside our constructor and we can easily add more methods in the future without having to rearrange the constructor. Another problem we had was how to add new methods when we can t change the constructor function. But since we already have access to the constructor function (and therefore its prototype), we can easily add new members without any access to the constructor itself: // person.js var Person = function(name, age){ this.name = name; this.age = age; }; // program.js Person.prototype.log = function(){ console.log(this.name + ', ' + this.age); }; var mark = new Person('Mark', 23); mark.log(); // 'Mark, 23' var joseph = new Person('Joseph', 22); joseph.log(); // 'Joseph, 22' We actually already saw a sample of dynamic prototype augmentation in the previous chapter on functions. One function form, the function object, used the Function constructor and we were able to add new function methods through the MooTools function called Function.implement. All JavaScript functions are actually instances of Function, and Function.implement actually modifies Function.prototype. Even though we didn t have access to the Function constructor itself which is a built-in constructor that s provided by the interpreter we re still able to add new function methods by augmenting Function.prototype. The augmentation of native types will be discussed later on in the chapter on Types and Natives.