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A Hadoop job is usually part of a production application, which may have many steps, some of Tip which are MapReduce jobs. Hadoop Core, as of version 0.19.0, provides a way of optimizing the data flows between a set of sequential MapReduce jobs. This framework for descriptively and efficiently running sequential MapReduce jobs together is called chaining, and uses the ChainMapper and the ChainReducer, as discussed in 8. An alternative is the cascading package, available from http://www.cascading.org/.



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To achieve this result, the code in Listing 4-27, specifically the BuildMenuStrip() method, first creates a MenuStrip object and adds to it the menu options that appear across the top of the menu in this example, Accounts and Employees. Then, for each of these menu options, the BuildMenu() method is invoked recursively to build the drop-down portion of the menu.





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Devices need to be able to execute MIDlets at specific timings (using the PushRegistry.registerAlarm() mechanism). Phones need to be able to execute MIDlets upon incoming messages, when this has been registered, either by using the JAD attribute MIDlet-Push-n or by calling PushRegistry.registerConnection(). When multimedia functionality is made available through Java libraries, JTWIcompliant devices need to expose the functionality through the Mobile Media API. Devices with MMAPI support need to be able to play back at least MIDI and tonesequence files. They also need to allow the capture of JPEG images and WAV audio when the device contains the corresponding capabilities. The Mobile Service Architecture specification is still in an early phase, but minimum requirements of compliant phones will be the CLDC 1.1 configuration and the MIDP 2.0 profile. You can check whether a device complies with the JTWI standard by testing the preprocessing symbol polish.jtwi.

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Jobs within a MapReduce cluster can be launched by constructing a JobConf object (details on the JobConf object are provided in this book s appendix) and passing it to a JobClient object: JobConf conf = new JobConf(MyClass.class); /** Configuration setup deleted for clarity*/ /** Launch the Job by submitting it to the Framework. */ RunningJob job = JobClient.runJob(conf); You can launch the preceding example from the command line as follows: > bin/hadoop [-libjars jar1.jar,jar2.jar,jar3.jar] jar myjar.jar MyClass The optional -libjars jar1.jar... specifications add JARs for your job. The assumption is that MyClass is in the myjar.jar. For this to be successful requires a considerable amount of runtime environment setup. Hadoop Core provides a shell script, bin/hadoop, which manages the setup for a job. Using this script is the standard and recommended way to start a MapReduce job. This script sets up the process environment correctly for the installation, including inserting the Hadoop JARs and Hadoop configuration directory into the classpath, and launches your application. This behavior is triggered by providing the initial command-line argument jar to the bin/hadoop script. Hadoop Core provides several mechanisms for setting the classpath for your application: You can set up a fixed base classpath by altering hadoop-env.sh, via the HADOOP_CLASSPATH environment variable (on all of your machines) or by setting that environment variable in the runtime environment for the user that starts the Hadoop servers. You may run your jobs via the bin/hadoop jar command and supply a -libjars argument with a list of JARs. The DistributedCache object provides a way to add files or archives to your runtime classpath.

The mapred.child.java.opts variable may also be used to specify non-classpath parameters to Tip the child JVMs. In particular, the java.library.path variable specifies the path for shared libraries if your application uses the Java Native Interface (JNI). If your application alters the job configuration parameter mapred.child.java.opts, it is important to ensure that the JVM memory settings are reset or still present, or your tasks may fail with out-of-memory exceptions.

Devices support a wide range of audio, video, and image formats, but only a few formats are generally accepted. In general, you should stick to MIDI, tone-sequence, and AMR sounds and PNG images. The device database of J2ME Polish contains information of the supported formats, so you can use resource assembling for including the correct resources and use preprocessing for integrating the correct code for that format. 15 discusses the playback of sounds in more detail.

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Open Source PDF Libraries in C#
SharpPDF is a C# library that implements different objects for the creation of PDF documents with few steps. It is created for .NET framework 1.1 and it can create ...












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