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@@ -277,7 +277,7 @@ document.write("Last Published: " + document.lastModified);
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<a href="#Example%3A+WordCount+v2.0">Example: WordCount v2.0</a>
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<ul class="minitoc">
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<li>
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-<a href="#Source+Code-N10B98">Source Code</a>
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+<a href="#Source+Code-N10B9C">Source Code</a>
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</li>
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<li>
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<a href="#Sample+Runs">Sample Runs</a>
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@@ -1453,7 +1453,7 @@ document.write("Last Published: " + document.lastModified);
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user-provided scripts
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(<a href="api/org/apache/hadoop/mapred/JobConf.html#setMapDebugScript(java.lang.String)">setMapDebugScript(String)</a>/<a href="api/org/apache/hadoop/mapred/JobConf.html#setReduceDebugScript(java.lang.String)">setReduceDebugScript(String)</a>)
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, whether job tasks can be executed in a <em>speculative</em> manner
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- (<a href="api/org/apache/hadoop/mapred/JobConf.html#setSpeculativeExecution(boolean)">setSpeculativeExecution(boolean)</a>)
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+ (<a href="api/org/apache/hadoop/mapred/JobConf.html#setMapSpeculativeExecution(boolean)">setMapSpeculativeExecution(boolean)</a>)/(<a href="api/org/apache/hadoop/mapred/JobConf.html#setReduceSpeculativeExecution(boolean)">setReduceSpeculativeExecution(boolean)</a>)
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, maximum number of attempts per task
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(<a href="api/org/apache/hadoop/mapred/JobConf.html#setMaxMapAttempts(int)">setMaxMapAttempts(int)</a>/<a href="api/org/apache/hadoop/mapred/JobConf.html#setMaxReduceAttempts(int)">setMaxReduceAttempts(int)</a>)
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, percentage of tasks failure which can be tolerated by the job
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@@ -1463,7 +1463,7 @@ document.write("Last Published: " + document.lastModified);
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<a href="api/org/apache/hadoop/conf/Configuration.html#set(java.lang.String, java.lang.String)">set(String, String)</a>/<a href="api/org/apache/hadoop/conf/Configuration.html#get(java.lang.String, java.lang.String)">get(String, String)</a>
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to set/get arbitrary parameters needed by applications. However, use the
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<span class="codefrag">DistributedCache</span> for large amounts of (read-only) data.</p>
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-<a name="N1082C"></a><a name="Task+Execution+%26+Environment"></a>
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+<a name="N10830"></a><a name="Task+Execution+%26+Environment"></a>
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<h3 class="h4">Task Execution & Environment</h3>
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<p>The <span class="codefrag">TaskTracker</span> executes the <span class="codefrag">Mapper</span>/
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<span class="codefrag">Reducer</span> <em>task</em> as a child process in a separate jvm.
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@@ -1523,7 +1523,7 @@ document.write("Last Published: " + document.lastModified);
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loaded via <a href="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/System.html#loadLibrary(java.lang.String)">
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System.loadLibrary</a> or <a href="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/System.html#load(java.lang.String)">
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System.load</a>.</p>
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-<a name="N108A1"></a><a name="Job+Submission+and+Monitoring"></a>
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+<a name="N108A5"></a><a name="Job+Submission+and+Monitoring"></a>
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<h3 class="h4">Job Submission and Monitoring</h3>
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<p>
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<a href="api/org/apache/hadoop/mapred/JobClient.html">
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@@ -1559,7 +1559,7 @@ document.write("Last Published: " + document.lastModified);
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<p>Normally the user creates the application, describes various facets
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of the job via <span class="codefrag">JobConf</span>, and then uses the
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<span class="codefrag">JobClient</span> to submit the job and monitor its progress.</p>
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-<a name="N108DF"></a><a name="Job+Control"></a>
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+<a name="N108E3"></a><a name="Job+Control"></a>
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<h4>Job Control</h4>
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<p>Users may need to chain map-reduce jobs to accomplish complex
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tasks which cannot be done via a single map-reduce job. This is fairly
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@@ -1595,7 +1595,7 @@ document.write("Last Published: " + document.lastModified);
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</li>
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</ul>
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-<a name="N10909"></a><a name="Job+Input"></a>
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+<a name="N1090D"></a><a name="Job+Input"></a>
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<h3 class="h4">Job Input</h3>
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<p>
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<a href="api/org/apache/hadoop/mapred/InputFormat.html">
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@@ -1643,7 +1643,7 @@ document.write("Last Published: " + document.lastModified);
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appropriate <span class="codefrag">CompressionCodec</span>. However, it must be noted that
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compressed files with the above extensions cannot be <em>split</em> and
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each compressed file is processed in its entirety by a single mapper.</p>
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-<a name="N10973"></a><a name="InputSplit"></a>
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+<a name="N10977"></a><a name="InputSplit"></a>
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<h4>InputSplit</h4>
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<p>
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<a href="api/org/apache/hadoop/mapred/InputSplit.html">
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@@ -1657,7 +1657,7 @@ document.write("Last Published: " + document.lastModified);
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FileSplit</a> is the default <span class="codefrag">InputSplit</span>. It sets
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<span class="codefrag">map.input.file</span> to the path of the input file for the
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logical split.</p>
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-<a name="N10998"></a><a name="RecordReader"></a>
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+<a name="N1099C"></a><a name="RecordReader"></a>
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<h4>RecordReader</h4>
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<p>
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<a href="api/org/apache/hadoop/mapred/RecordReader.html">
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@@ -1669,7 +1669,7 @@ document.write("Last Published: " + document.lastModified);
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for processing. <span class="codefrag">RecordReader</span> thus assumes the
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responsibility of processing record boundaries and presents the tasks
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with keys and values.</p>
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-<a name="N109BB"></a><a name="Job+Output"></a>
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+<a name="N109BF"></a><a name="Job+Output"></a>
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<h3 class="h4">Job Output</h3>
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<p>
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<a href="api/org/apache/hadoop/mapred/OutputFormat.html">
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@@ -1694,7 +1694,7 @@ document.write("Last Published: " + document.lastModified);
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<p>
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<span class="codefrag">TextOutputFormat</span> is the default
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<span class="codefrag">OutputFormat</span>.</p>
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-<a name="N109E4"></a><a name="Task+Side-Effect+Files"></a>
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+<a name="N109E8"></a><a name="Task+Side-Effect+Files"></a>
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<h4>Task Side-Effect Files</h4>
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<p>In some applications, component tasks need to create and/or write to
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side-files, which differ from the actual job-output files.</p>
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@@ -1720,7 +1720,7 @@ document.write("Last Published: " + document.lastModified);
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JobConf.getOutputPath()</a>, and the framework will promote them
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similarly for succesful task-attempts, thus eliminating the need to
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pick unique paths per task-attempt.</p>
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-<a name="N10A19"></a><a name="RecordWriter"></a>
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+<a name="N10A1D"></a><a name="RecordWriter"></a>
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<h4>RecordWriter</h4>
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<p>
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<a href="api/org/apache/hadoop/mapred/RecordWriter.html">
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@@ -1728,9 +1728,9 @@ document.write("Last Published: " + document.lastModified);
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pairs to an output file.</p>
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<p>RecordWriter implementations write the job outputs to the
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<span class="codefrag">FileSystem</span>.</p>
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-<a name="N10A30"></a><a name="Other+Useful+Features"></a>
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+<a name="N10A34"></a><a name="Other+Useful+Features"></a>
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<h3 class="h4">Other Useful Features</h3>
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-<a name="N10A36"></a><a name="Counters"></a>
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+<a name="N10A3A"></a><a name="Counters"></a>
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<h4>Counters</h4>
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<p>
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<span class="codefrag">Counters</span> represent global counters, defined either by
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@@ -1744,7 +1744,7 @@ document.write("Last Published: " + document.lastModified);
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Reporter.incrCounter(Enum, long)</a> in the <span class="codefrag">map</span> and/or
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<span class="codefrag">reduce</span> methods. These counters are then globally
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aggregated by the framework.</p>
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-<a name="N10A61"></a><a name="DistributedCache"></a>
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+<a name="N10A65"></a><a name="DistributedCache"></a>
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<h4>DistributedCache</h4>
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<p>
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<a href="api/org/apache/hadoop/filecache/DistributedCache.html">
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@@ -1777,7 +1777,7 @@ document.write("Last Published: " + document.lastModified);
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<a href="api/org/apache/hadoop/filecache/DistributedCache.html#createSymlink(org.apache.hadoop.conf.Configuration)">
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DistributedCache.createSymlink(Path, Configuration)</a> api. Files
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have <em>execution permissions</em> set.</p>
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-<a name="N10A9F"></a><a name="Tool"></a>
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+<a name="N10AA3"></a><a name="Tool"></a>
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<h4>Tool</h4>
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<p>The <a href="api/org/apache/hadoop/util/Tool.html">Tool</a>
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interface supports the handling of generic Hadoop command-line options.
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@@ -1817,7 +1817,7 @@ document.write("Last Published: " + document.lastModified);
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</span>
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</p>
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-<a name="N10AD1"></a><a name="IsolationRunner"></a>
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+<a name="N10AD5"></a><a name="IsolationRunner"></a>
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<h4>IsolationRunner</h4>
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<p>
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<a href="api/org/apache/hadoop/mapred/IsolationRunner.html">
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@@ -1841,13 +1841,13 @@ document.write("Last Published: " + document.lastModified);
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<p>
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<span class="codefrag">IsolationRunner</span> will run the failed task in a single
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jvm, which can be in the debugger, over precisely the same input.</p>
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-<a name="N10B04"></a><a name="JobControl"></a>
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+<a name="N10B08"></a><a name="JobControl"></a>
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<h4>JobControl</h4>
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<p>
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<a href="api/org/apache/hadoop/mapred/jobcontrol/package-summary.html">
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JobControl</a> is a utility which encapsulates a set of Map-Reduce jobs
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and their dependencies.</p>
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-<a name="N10B11"></a><a name="Data+Compression"></a>
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+<a name="N10B15"></a><a name="Data+Compression"></a>
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<h4>Data Compression</h4>
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<p>Hadoop Map-Reduce provides facilities for the application-writer to
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specify compression for both intermediate map-outputs and the
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@@ -1861,7 +1861,7 @@ document.write("Last Published: " + document.lastModified);
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codecs for reasons of both performance (zlib) and non-availability of
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Java libraries (lzo). More details on their usage and availability are
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available <a href="native_libraries.html">here</a>.</p>
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-<a name="N10B31"></a><a name="Intermediate+Outputs"></a>
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+<a name="N10B35"></a><a name="Intermediate+Outputs"></a>
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<h5>Intermediate Outputs</h5>
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<p>Applications can control compression of intermediate map-outputs
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via the
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@@ -1882,7 +1882,7 @@ document.write("Last Published: " + document.lastModified);
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<a href="api/org/apache/hadoop/mapred/JobConf.html#setMapOutputCompressionType(org.apache.hadoop.io.SequenceFile.CompressionType)">
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JobConf.setMapOutputCompressionType(SequenceFile.CompressionType)</a>
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api.</p>
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-<a name="N10B5D"></a><a name="Job+Outputs"></a>
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+<a name="N10B61"></a><a name="Job+Outputs"></a>
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<h5>Job Outputs</h5>
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<p>Applications can control compression of job-outputs via the
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<a href="api/org/apache/hadoop/mapred/OutputFormatBase.html#setCompressOutput(org.apache.hadoop.mapred.JobConf,%20boolean)">
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@@ -1902,12 +1902,12 @@ document.write("Last Published: " + document.lastModified);
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</div>
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-<a name="N10B8C"></a><a name="Example%3A+WordCount+v2.0"></a>
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+<a name="N10B90"></a><a name="Example%3A+WordCount+v2.0"></a>
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<h2 class="h3">Example: WordCount v2.0</h2>
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<div class="section">
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<p>Here is a more complete <span class="codefrag">WordCount</span> which uses many of the
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features provided by the Map-Reduce framework we discussed so far:</p>
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-<a name="N10B98"></a><a name="Source+Code-N10B98"></a>
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+<a name="N10B9C"></a><a name="Source+Code-N10B9C"></a>
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<h3 class="h4">Source Code</h3>
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<table class="ForrestTable" cellspacing="1" cellpadding="4">
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@@ -3085,7 +3085,7 @@ document.write("Last Published: " + document.lastModified);
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</tr>
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</table>
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-<a name="N112CA"></a><a name="Sample+Runs"></a>
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+<a name="N112CE"></a><a name="Sample+Runs"></a>
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<h3 class="h4">Sample Runs</h3>
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<p>Sample text-files as input:</p>
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<p>
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@@ -3250,7 +3250,7 @@ document.write("Last Published: " + document.lastModified);
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<br>
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</p>
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-<a name="N1139A"></a><a name="Salient+Points"></a>
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+<a name="N1139E"></a><a name="Salient+Points"></a>
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<h3 class="h4">Salient Points</h3>
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<p>The second version of <span class="codefrag">WordCount</span> improves upon the
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previous one by using some features offered by the Map-Reduce framework:
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