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Monitoring your DataNode s block totals will go a long way toward avoiding congestion collapse issues in your HDFS. You can do this by simply running a find on the dfs.data.dir and making sure that it takes less than a couple of minutes. Ensuring that your HDFS data traffic is segregated from your normal application traffic and crosses as few interswitch backhauls as possible will help to avoid network congestion and application misbehavior. Ultimately, remember that HDFS is designed for a small to medium number of very large files, and not for transitory storage of large numbers of small files.

This publishes your form template (XSN file) to SharePoint and creates a form library within a SharePoint site to act as the main location for users to store InfoPath form data when they ve filled out the form. You can also promote columns of data so that they are displayed in the form library web interface (see Figure 5-12). I will cover property promotion more fully in 6. Publishing to a SharePoint form library also gives your form template a central network location to manage version control for the form template. (Form libraries also provide a native version control capability for the form data within the library.) The one main drawback of a form library is that it s single-use when you create a form library, it only exists for that single form template

Because the procedure moves the invocation of the log method outside of the context of the generate method, the invocation fails and an error is thrown This is because by the time that log is finally called, the generate function would have finished its execution The call to log then would be just like directly calling log from the outside Because of how they re implemented, protected methods can only be called in the immediate body of other methods This means that protected methods can t be used in callback function, event handlers, or any other function that uses closures, because the invocation gets removed from the current context So if you need to use a method for any of these things, it s better to use a public method instead of a protected one Finally, we end this section with another mutator.

rganizations run Hadoop Core to provide MapReduce services for their processing needs. They may have datasets that can t fit on a single machine, have time constraints that are impossible to satisfy with a small number of machines, or need to rapidly scale the computing power applied to a problem due to varying input set sizes. You will have your own unique reasons for running MapReduce applications. To do your job effectively, you need to understand all of the moving parts of a MapReduce cluster and of the Hadoop Core MapReduce framework. This chapter will raise the hood and show you some schematics of the engine. This chapter will also provide examples that you can use as the basis for your own MapReduce applications.

In the section on static members, we implemented a Static mutator to simplify the process of declaring static members To make the process of declaring protected methods easier, let s implement a corresponding Protected mutator: ClassMutatorsProtected = function(methods){ for (var key in methods){ if (methods[key] instanceof Function) thisimplement(key, methods[key]protect()); } }; As an exercise, I ll leave it to you to explain how our Protected mutator works and how to use it This is a very easy exercise, since it s very similar to our Static mutator..