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The two DataNodes are started after the NameNode is started, and each has a Starting line followed by a final line that indicates the BLOCKREPORT_INTERVAL. If the lines containing BLOCKREPORT_INTERVAL are missing, the DataNode did not start. As with the HDFS portion, the JobTracker informs you directly that it is running, but the TaskTracker status must be deduced from the logs. Here is the message from a successfully started JobTracker: INFO mapred.JobTracker: Starting RUNNING Listing 7-10 shows the log lines that show the TaskTracker is running. You need two sets of these for full service. listing 7-10. Log Lines That Indicate a TaskTracker Is Running mapred.TaskTracker: TaskTracker up at: 0.0.0.0/0.0.0.0:2262 mapred.TaskTracker: Starting tracker tracker_host1.foo.com:0.0.0.0/0.0.0.0:2262 If the hadoop.log.dir system property is unset, a subprocess of the virtual cluster may crash and leave the test case in limbo. Listing 7-11 shows this error. listing 7-11. A Virtual Cluster Server Process Has Crashed ERROR mapred.MiniMRCluster: Job tracker crashed java.lang.NullPointerException at java.io.File.<init>(Unknown Source) at org.apache.hadoop.mapred.JobHistory.init(JobHistory.java:143) at org.apache.hadoop.mapred.JobTracker.<init>(JobTracker.java:1110) at org.apache.hadoop.mapred.JobTracker.startTracker(JobTracker.java:143) at org.apache.hadoop.mapred. MiniMRCluster$JobTrackerRunner.run(MiniMRCluster.java:96) at java.lang.Thread.run(Unknown Source)



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Creating a J2ME application involves several distinct phases: Design: In the design phase, you plan the architecture of the application. Implementation: In the implementation phase, you realize the design and write the source code.





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There should be no ERROR level log messages. The Eclipse framework provides a decent way to run individual or class-based Hadoop unit tests, as well as simple debugging. Occasionally, some state can get lost, particularly in the Windows environment, and the virtual cluster will fail to start. The indication of this will be a series of messages stating that a connection attempt has failed. In particular, if you see connection failure messages that have /0.0.0.0:, it is an indication that Eclipse needs a restart, as shown in Listing 7-12. listing 7-12. Log Lines That Indicate Eclipse Has Lost State and Needs to Be Restarted INFO INFO INFO INFO INFO INFO INFO INFO INFO INFO ipc.Client: ipc.Client: ipc.Client: ipc.Client: ipc.Client: ipc.Client: ipc.Client: ipc.Client: ipc.Client: ipc.Client: Retrying Retrying Retrying Retrying Retrying Retrying Retrying Retrying Retrying Retrying connect connect connect connect connect connect connect connect connect connect to to to to to to to to to to server: server: server: server: server: server: server: server: server: server: /0.0.0.0:9100. /0.0.0.0:9100. /0.0.0.0:9100. /0.0.0.0:9100. /0.0.0.0:9100. /0.0.0.0:9100. /0.0.0.0:9100. /0.0.0.0:9100. /0.0.0.0:9100. /0.0.0.0:9100. Already Already Already Already Already Already Already Already Already Already tried tried tried tried tried tried tried tried tried tried 0 1 2 3 4 5 6 7 8 9 time(s). time(s). time(s). time(s). time(s). time(s). time(s). time(s). time(s). time(s).

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Build: In the build phase, you compile your source code and create the application bundles (JAR and JAD files). Testing: In the testing phase, you check the implementation. Optimization: In the optimization phase, you improve the application, focusing on performance, memory consumption, application size, and device adjustments. Deployment: Finally, you install your application on the device in the deployment phase. Here, we will take a closer look at each phase of the application life cycle. You ll see how you can use J2ME Polish for fast turnaround times in these phases, as well as learn some tips for each phase of the application life cycle.

the Basics of Multimachine Clusters . . . . . . . . . . . . . . . . . . . . . . 71

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The Makeup of a Cluster 71 Cluster Administration Tools 73 Cluster Configuration 74 Hadoop Configuration Files 75 Hadoop Core Server Configuration 76 A Sample Cluster Configuration 80 Configuration Requirements 80 Configuration Files for the Sample Cluster 82 Distributing the Configuration 86 Verifying the Cluster Configuration 87 Formatting HDFS 88 Starting HDFS 89 Correcting Errors 91 The Web Interface to HDFS 92 Starting MapReduce 92 Running a Test Job on the Cluster 94 Summary 95.

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