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It s the job of the initializer to prepare an instance and to set it up in a way that s unique to the instance Often, this is done using special arguments that are passed when creating an instance Take a look at the following snippet: var Postable = function(element){ thiselement = element; thiselementmethod = 'POST'; }; When we create instances of Postable, we are expected to pass an element argument to the constructor The instance is then initialized by setting the value of its element member to the element argument we passed, then a new property called method is added to the member A problem occurs, though, when we try to create a subclass: var Postable = function(element){ thiselement = element; thiselementmethod = 'POST'; }; var SubPostable = function(){}; SubPostable.

A zero-length file named my_first_file will be created in the /user/USERNAME directory, where USERNAME is the username of the user running the touchz command.

prototype = new Postable(); // this will throw an error To make SubPostable a subclass of Postable, we had to declare SubPostableprototype to be a new instance of Postable But since Postable had a combined constructor and initializer, we get an error when we create the instance without passing an element argument Of course, we can simply pass an argument when we create the new instance, but what argument should we pass Remember that during the process of subclassing, we don t yet know which arguments.

The most common errors should not occur if the verification steps detailed in the preceding sections completed with no errors. Here are some errors you might come across: HADOOP_PID_DIR is not writable by the CLUSTER_USER. The directory specified for hadoop.tmp.dir does not exist with full access permissions for CLUSTER_USER, or could not be created. The JVM may be missing or installed in a different location. The environment set up on login for CLUSTER_USER may not set up JAVA_HOME and HADOOP_HOME correctly. HADOOP_HOME is not in an identical location on all of the cluster machines. Passwordless SSH to some subset of the machines may not be working, or the master machine cannot connect to the slave machines via SSH due to firewall or network topology reasons. This will be clear from the error response of the start command. The servers on the slave machines may not be able to connect to their respective master server due to firewall or network topology issues. If this is a problem, there will be a somewhat descriptive error message in the server (TaskTracker or DataNode) log file on the slave machine. Resolving network topology and firewall issues will require support from your local network administrator.

Note If you get an error regarding missing or unregistered DLL files, you must register the DLL files

are going to be passed those items will be available when we instantiate the class We could pass a dummy object, but doing so just to bypass an error isn t good programming On the other hand, we ll never run into such a problem with the MooTools class system because constructors and initializers are separate Even though the class system creates an instance of Postable and sets it as the prototype of Subpostable, the initialized method of the Postable instance never gets called: var Postable = new Class({ element: null, initialize: function(element){ thiselement = element; thiselementmethod = 'POST'; } }); var SubPostable = new Class({ Extends: Postable }); To fully understand why MooTools does this, we need to think back to the prototype chain We create deliberate chains in order to create extensions and variations of our original prototypes.

The most exotic error should not occur at this point, as your installation should be using the Hadoop Core default classpath. If there is an error message in a log file that indicates that Jetty could not start its web server, there is a nonvalidating XML parser in the classpath ahead of the validating XML parser that Hadoop Core supplies. This may be fixed by reordering the classpath or by explicitly setting the XML parser by setting a Java property. You can modify the HADOOP_OPTS environment variable to include this string: -Djavax.xml.parsers.SAXParserFactory=org.apache.xerces.jaxp.SAXParserFactoryImpl Alternatively, you can alter the setting of HADOOP_OPTS in conf/hadoop-env.sh.

Caution It is highly recommended that you verify the termination of all Hadoop Core server processes across the cluster before attempting a restart. It is also strongly recommended that the hadoop.tmp.dir have its contents wiped on all cluster machines between attempts to start a new HDFS, and then the file system be reformatted as described in this chapter.