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mapred.MapTask: record buffer = 262144/327680 mapred.MapTask: Starting flush of map output mapred.MapTask: bufstart = 0; bufend = 32; bufvoid = 99614720 mapred.MapTask: kvstart = 0; kvend = 2; length = 327680 mapred.JobClient: map 100% reduce 0% mapred.MapTask: Index: (0, 38, 38) mapred.MapTask: Finished spill 0 mapred.LocalJobRunner: Generated 1 samples. mapred.TaskRunner: Task 'attempt_local_0001_m_000001_0' done. mapred.TaskRunner: Saved output of task 'attempt_local_0001_m_000001_0' to file:/home/jason/src/hadoop-0.19.0/test-mini-mr/out mapred.ReduceTask: Initiating final on-disk merge with 2 files mapred.Merger: Merging 2 sorted segments mapred.Merger: Down to the last merge-pass, with 2 segments left of total size: 76 bytes mapred.LocalJobRunner: reduce > reduce mapred.TaskRunner: Task 'attempt_local_0001_r_000000_0' done. mapred.TaskRunner: Saved output of task 'attempt_local_0001_r_000000_0' to file:/home/jason/src/hadoop-0.19.0/test-mini-mr/out mapred.JobClient: Job complete: job_local_0001 mapred.JobClient: Counters: 11 mapred.JobClient: File Systems mapred.JobClient: Local bytes read=314895 mapred.JobClient: Local bytes written=359635 mapred.JobClient: Map-Reduce Framework mapred.JobClient: Reduce input groups=2 mapred.JobClient: Combine output records=0 mapred.JobClient: Map input records=2 mapred.JobClient: Reduce output records=0 mapred.JobClient: Map output bytes=64 mapred.JobClient: Map input bytes=48 mapred.JobClient: Combine input records=0 mapred.JobClient: Map output records=4 mapred.JobClient: Reduce input records=4 Job Finished in 2.322 seconds Estimated value of PI is 3.8

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Depending on the number of colors the device supports, colors can look differently on the actual device. The default font face used when the font-face or label-face attribute is not set. A proportional face. This is on some devices actually the same font face as the system font. A font face in which each character has the same width. The smallest possible font. The default size for texts. The largest possible font size. The default style. A bold thick style. A cursive style. Not really a style, just an underlined text. With the bitmap attribute, you can use a bitmap font rather than the standard system, proportional, and monospace fonts. Please note that bitmap fonts cannot be changed in size, color, or style. See 10 for a detailed discussion of bitmap fonts.

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Note The Hadoop projects use the Apache Foundation s log4j package for logging. By default, all output by the framework will have a leading date stamp, a log level, and the name of the class that emitted the message. In addition, the default is only to emit log messages of level INFO or higher. For brevity, I ve removed the data stamp and log level from the output reproduced in this book.

monospace size small medium (default, normal) large (big) style plain (default, normal) bold italic (cursive) underlined bitmap The name of the bitmap font. The extension .bmf is not needed.

Of particular interest here is that the last line of output states something of the form Estimated value of PI is In that case, you know that your local installation of Hadoop is ready for you to play with Now we will go through the output in Listing 2-3 chunk by chunk, so that you have an understanding of what is going on and can recognize when something is wrong The first section is output by the pi estimator as it is setting up the job Here, you requested 2 maps and 10 samples: Number of Maps = 2 Samples per Map = 10 Wrote input for Map #0 Wrote input for Map #1 The framework has taken over at this point and sets up input splits (each fragment of input is called an input split) for the map tasks.

where ExecuteDBProc() is your wrapper method to all the messy code behind a stored procedure call. It pulls the connection string from the app.config file and performs the needed object cleanup. Even a power user shouldn t be required to worry about dealing with this overhead. Another attractive feature of runtime code compilation is the avoidance of many of the stumbling blocks involved in change control. If all your code is compiled into assemblies, you need to navigate a change-control process to deploy a new version. Moreover, you may have these assemblies distributed on multiple machines, so deploying new versions isn t something you want to do frequently (although ClickOnce technology makes this easier than it was in the past). You may also work in an industry (like pharmaceuticals) where a change to the compiled code requires a redo of the validation process a lengthy, boring, and expensive task that involves a lot of paperwork. Using runtime compiled code, you can update rows in a database table or XML file and avoid much of this overhead.

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