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Person.addPerson(); Person.getCount() // Person count: 1 The Static mutator is a very simple mutator that receives an object argument containing the members that will be added to the class and invokes the extend method of the class. To use it, we simply declared a Static key inside our class with an object value containing the static members we d like to add. The result is a cleaner and tighter class declaration. One last thing to remember before we move on is that static or class members aren t inherited. Because they are added to the class itself rather than the class s prototype, class members are not inherited by subclasses. This is different from how real classical languages with static members work, although we can mimic the behavior by overriding the original Extends mutator: (function() { var origExtends = Class.Mutators.Extends; Class.Mutators.Extends = function(parent){ origExtends.call(this, parent); var members = {}; for (var key in parent){ if (parent.hasOwnProperty(key) && !this.hasOwnProperty(key)) members[key] = parent[key]; } this.extend(members); }; })(); We first stored the original Extends mutator function in the origExtends variable so that we can call it later. We then overrode our Class.Mutators.Extends mutator with a new function. The first line of the new mutator function calls the original mutator function in order to set the prototype chain of the class. We then loop through the members of the superclass and check for class members that we should copy into the new class. We used hasOwnProperty to check the members so that we will copy only the members that were added directly to the class and not the ones inherited from Function.prototype or from Class.prototype. Finally, we use the extend method to add the members from our superclass to our new class.

are not a full dfs.block.size value, but support for this is early and known to be unreliable. This feature has been disabled in Hadoop 0.19.1, but it may return in Hadoop 0.20.0.

Looking back at all the classes we ve created so far, you ll notice that all of them are self-contained: we defined our classes so that they have all the properties and methods they ll need. We didn t store the information about our objects in a separate location, nor did we define external functions to perform operations on our objects. Instead, we defined the properties and methods of our classes so that each instance of our class each object is usable on its own. The idea of having each object contain all data (properties) and behavior (methods) it needs is an important principle in object-oriented programming called encapsulation. Encapsulation dictates that each object should be self-contained: classes should declare the properties and methods needed so that everything is contained within the object. Related to the principle of encapsulation is the idea that while you should include all of the properties and methods needed to make your object self-contained, you should also limit what you expose of your object. In other words, you should only expose the properties and methods of your object

You can only publish self-contained forms to e-mail. Forms that reference external elements (such as Tip

The NameNode may be configured to write the metadata log to multiple locations on the host server s file system. In the event of data loss or corruption to one of these locations, the NameNode may be recovered by repairing or removing the failed location from the configuration, removing the data from that location, and restarting the NameNode. For rapid recovery, you may simply remove the failed location from the configuration and restart the NameNode. If the NameNode needs to be recovered from a secondary NameNode, the procedure is somewhat more complex. Here are the steps: 1. Shut down the secondary NameNode. 2. Copy the contents of the Secondary:fs.checkpoint.dir to the Namenode:dfs.name.dir. 3. Copy the contents of the Secondary: fs.checkpoint.edits.dir to the Namenode:dfs.name.edits.dir. 4. When the copy completes, you may start the NameNode and restart the secondary NameNode. All data written to HDFS after the last secondary NameNode checkpoint was taken will be removed and lost. The default frequency of the checkpoints is specified by the fs.checkpoint. period parameter At present, there are no public forensic tools that will recover data from blocks on the DataNodes.

that need to be exposed to enable other objects to effectively use your object This principle is called visibility and it s an important part of class design Take, for example, the following class: var Person = new Class({ // Properties name: '', age: 0, // Methods initialize: function(name, age){ thisname = name; thisage = age; thisformat(); }, log: function(){ consolelog(thisname + , + thisage); }, format: function(){ thisname = thisnamecapitalize(); thisage = parseInt(thisage); } }); // Creating a new Person instance var mark = new Person( mark , 23 ); marklog(); // Mark, 23 markformat(); // returns nothing Here we have the same Person class from the previous examples but with a new method called format.

The procedure for adding a new DataNode to a cluster and restarting a failed DataNode are identical and simple. The server process just needs to be started, assuming the configuration is correct, and the NameNode will integrate the new server or reintegrate a restarted server into the cluster.

Note You can t publish a form with Word print views to e-mail. To remove Word print views from an

As long as your cluster does not have underreplicated files and no file s replication count is less than Tip 3, it is generally safe to forcibly remove a DataNode from the cluster by killing the DataNode server process. The next section covers how to decommission a DataNode gracefully.