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Jun 14, 2012 · ... we demonstrate the steps to create a simple a "Hello World" PDF document. First, we install ...Duration: 3:53 Posted: Jun 14, 2012

The following are some items you can tune for the map phase: Map task run time: Each map task has some setup and teardown overhead If the runtime of the map task is short, this overhead becomes the major time component If the runtimes of tasks are too long, a single task may hold the cluster for a long period, or retrying a failed task becomes expensive In general, less than a minute is usually too short, What is too long for a map task is job-specific The primary tuning point for this is the dfsblocksize parameter Increasing this parameter usually increases the split size and the task run time On a per-job or per-cluster basis, you may also change mapredminsplitsize It is better to use dfsblock.



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PDFsharp is a .NET library for creating and modifying Adobe PDF documents programmatically from any .NET language like C# or VB.NET. PDFsharp defines  ...

The MIDP 2.0 standard distinguishes between trusted and untrusted applications. An application is considered untrusted by default, unless it contains a valid digital signature. Whenever an untrusted application accesses security-sensitive resources such as sending text messages, the user will be asked for permission. Certain actions such as low-level network access might be entirely forbidden for untrusted applications. In contrast, the user is asked only once during the installation to allow certain actions for trusted applications. With J2ME Polish you can automate the signing of your application when you have a valid digital certificate.





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size, as the data is more likely to be local when the split size equals the HDFS file system block size TaskTracker node CPU utilization: If the map tasks are computationally intensive, a significant goal is to use all of the available CPU resources for that computation There are two methods for controlling CPU utilization for map tasks: The job or cluster may configure the use of MultithreadedMapRunner for the MapRunner via mapredmaprunnerclass, and specify the number of execution treads via mapredmapmultithreadedrunnerthreads The cluster may specify the number of map tasks to run simultaneously by a TaskTracker via mapredtasktrackermaptasksmaximum This may be done on the command line for any job that uses the GenericOptionsParser Data location: If the map tasks are not receiving their input split from a local DataNode, the I/O performance will be limited to the network speed.

foreach (ParameterInfo oPI in oCI.GetParameters()) { oSubTN = oTN.Nodes.Add(oPI.Name); oSubTN.Nodes.Add("DefaultValue: " + oPI.DefaultValue); oSubTN.Nodes.Add("IsIn: " + oPI.IsIn); oSubTN.Nodes.Add("IsOut: " + oPI.IsOut); oSubTN.Nodes.Add("IsOptional: " + oPI.IsOptional); oSubTN.Nodes.Add("Position: " + oPI.Position); } } trvConstructors.ExpandAll(); } Figure 2-6 shows the results of this query.

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This value is visible in the job counters of running and completed jobs, under the section titled Data Local map tasks, the Total column gives the number of map tasks that ran with the input split served from a local DataNode Other than increasing the replication factor and trying to ensure that the input split size is the file system block size, there is little tuning to be done Child garbage collection: If there is significant object churn in the Mappermap method, and there is insufficient heap space allocated, the JVM hosting the task may spend a significant amount of wall clock time doing garbage collection This is readily visible only via the Ganglia reporting framework or through the JMX MBean interface The Ganglia reporting variable is gcTimeMillis() and is visible in the main reporting page for Ganglia, as shown in Figure 6-4.

certify your application by the Java Verified initiative (http://www.javaverified.com). This will involve further costs. You can define any required permissions with the permissions attribute and optional operations with the optionalPermissions attribute of the <info> element, as shown in Listing 7-18. Please refer to the appendix for getting a list of available permissions.

Figure 6-4 shows an example of a Ganglia report for a two-host cluster, where one host is having problems Note in the bottom-right graph, showing gcTimeMilis, how the host cloud9 is spending roughly 2 to 400 msec per sample period doing garbage collection This would imply that the child JVM has been configured with insufficient memory At the current time, it is not possible to differentiate the garbage collection timing for the different server processes..

GetEventInfo() returns a list of events exposed by the class. The code in Listing 2-10 displays the names of every associated event.

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