Java IntSumReducer类代码示例

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本文整理汇总了Java中org.apache.hadoop.examples.WordCount.IntSumReducer类的典型用法代码示例。如果您正苦于以下问题：Java IntSumReducer类的具体用法？Java IntSumReducer怎么用？Java IntSumReducer使用的例子？那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。

IntSumReducer类属于org.apache.hadoop.examples.WordCount包，在下文中一共展示了IntSumReducer类的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Java代码示例。

示例1: main

import org.apache.hadoop.examples.WordCount.IntSumReducer; //导入依赖的package包/类
public static void main(String[] args) throws Exception {
	   	
  Configuration conf = new Configuration();
  
  String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
  
  long maxInputSplitSize = Long.parseLong(otherArgs[otherArgs.length-1]);
  long minInputSplitSize = Long.parseLong(otherArgs[otherArgs.length-2]);
  
  //added by wei
  conf.setLong(CombineTextInputFormat.SPLIT_MINSIZE_PERNODE, minInputSplitSize);
  conf.setLong(CombineTextInputFormat.SPLIT_MINSIZE_PERRACK, minInputSplitSize);
  //----
  
 
  if (otherArgs.length < 2) {
    System.err.println("Usage: wordcount <in> [<in>...] <out>");
    System.exit(2);
  }
  Job job = new Job(conf, "mulword count");
  job.setJarByClass(WordCount.class);
  job.setMapperClass(TokenizerMapper.class);
  job.setCombinerClass(IntSumReducer.class);
  job.setReducerClass(IntSumReducer.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(IntWritable.class);
  
  //added by wei
  job.setInputFormatClass(CombineTextInputFormat.class);
  CombineTextInputFormat.setMaxInputSplitSize(job, maxInputSplitSize);
  //----
  
  for (int i = 0; i < otherArgs.length - 3; ++i) {
    FileInputFormat.addInputPath(job, new Path(otherArgs[i]));
  }
  FileOutputFormat.setOutputPath(job,
    new Path(otherArgs[otherArgs.length - 3]));
  System.exit(job.waitForCompletion(true) ? 0 : 1);
}

开发者ID:yncxcw，项目名称:big-c，代码行数:40，代码来源:MutiWordcount.java

示例2: runWordCount

import org.apache.hadoop.examples.WordCount.IntSumReducer; //导入依赖的package包/类
private void runWordCount(Configuration conf
                          ) throws IOException,
                                   InterruptedException,
                                   ClassNotFoundException {
  final String COUNTER_GROUP = "org.apache.hadoop.mapred.Task$Counter";
  localFs.delete(new Path(TEST_ROOT_DIR + "/in"), true);
  localFs.delete(new Path(TEST_ROOT_DIR + "/out"), true);    
  writeFile("in/part1", "this is a test\nof word count test\ntest\n");
  writeFile("in/part2", "more test");
  Job job = new Job(conf, "word count");     
  job.setJarByClass(WordCount.class);
  job.setMapperClass(TokenizerMapper.class);
  job.setCombinerClass(IntSumReducer.class);
  job.setReducerClass(IntSumReducer.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(IntWritable.class);
  job.setInputFormatClass(TrackingTextInputFormat.class);
  FileInputFormat.addInputPath(job, new Path(TEST_ROOT_DIR + "/in"));
  FileOutputFormat.setOutputPath(job, new Path(TEST_ROOT_DIR + "/out"));
  assertNull(job.getJobID());
  assertTrue(job.waitForCompletion(false));
  assertNotNull(job.getJobID());
  String out = readFile("out/part-r-00000");
  System.out.println(out);
  assertEquals("a\t1\ncount\t1\nis\t1\nmore\t1\nof\t1\ntest\t4\nthis\t1\nword\t1\n",
               out);
  Counters ctrs = job.getCounters();
  System.out.println("Counters: " + ctrs);
  long combineIn = ctrs.findCounter(COUNTER_GROUP,
                                    "COMBINE_INPUT_RECORDS").getValue();
  long combineOut = ctrs.findCounter(COUNTER_GROUP, 
                                     "COMBINE_OUTPUT_RECORDS").getValue();
  long reduceIn = ctrs.findCounter(COUNTER_GROUP,
                                   "REDUCE_INPUT_RECORDS").getValue();
  long mapOut = ctrs.findCounter(COUNTER_GROUP, 
                                 "MAP_OUTPUT_RECORDS").getValue();
  long reduceOut = ctrs.findCounter(COUNTER_GROUP,
                                    "REDUCE_OUTPUT_RECORDS").getValue();
  long reduceGrps = ctrs.findCounter(COUNTER_GROUP,
                                     "REDUCE_INPUT_GROUPS").getValue();
  assertEquals("map out = combine in", mapOut, combineIn);
  assertEquals("combine out = reduce in", combineOut, reduceIn);
  assertTrue("combine in > combine out", combineIn > combineOut);
  assertEquals("reduce groups = reduce out", reduceGrps, reduceOut);
  String group = "Random Group";
  CounterGroup ctrGrp = ctrs.getGroup(group);
  assertEquals(0, ctrGrp.size());
}

开发者ID:Nextzero，项目名称:hadoop-2.6.0-cdh5.4.3，代码行数:49，代码来源:TestMapReduceLocal.java

示例3: runWordCount

import org.apache.hadoop.examples.WordCount.IntSumReducer; //导入依赖的package包/类
private void runWordCount(Configuration conf
                          ) throws IOException,
                                   InterruptedException,
                                   ClassNotFoundException {
  final String COUNTER_GROUP = "org.apache.hadoop.mapred.Task$Counter";
  localFs.delete(new Path(TEST_ROOT_DIR + "/in"), true);
  localFs.delete(new Path(TEST_ROOT_DIR + "/out"), true);    
  writeFile("in/part1", "this is a test\nof word count test\ntest\n");
  writeFile("in/part2", "more test");
  Job job = new Job(conf, "word count");     
  job.setJarByClass(WordCount.class);
  job.setMapperClass(TokenizerMapper.class);
  job.setCombinerClass(IntSumReducer.class);
  job.setReducerClass(IntSumReducer.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(IntWritable.class);
  job.setInputFormatClass(TrackingTextInputFormat.class);
  FileInputFormat.addInputPath(job, new Path(TEST_ROOT_DIR + "/in"));
  FileOutputFormat.setOutputPath(job, new Path(TEST_ROOT_DIR + "/out"));
  assertTrue(job.waitForCompletion(false));
  String out = readFile("out/part-r-00000");
  System.out.println(out);
  assertEquals("a\t1\ncount\t1\nis\t1\nmore\t1\nof\t1\ntest\t4\nthis\t1\nword\t1\n",
               out);
  Counters ctrs = job.getCounters();
  System.out.println("Counters: " + ctrs);
  long combineIn = ctrs.findCounter(COUNTER_GROUP,
                                    "COMBINE_INPUT_RECORDS").getValue();
  long combineOut = ctrs.findCounter(COUNTER_GROUP, 
                                     "COMBINE_OUTPUT_RECORDS").getValue();
  long reduceIn = ctrs.findCounter(COUNTER_GROUP,
                                   "REDUCE_INPUT_RECORDS").getValue();
  long mapOut = ctrs.findCounter(COUNTER_GROUP, 
                                 "MAP_OUTPUT_RECORDS").getValue();
  long reduceOut = ctrs.findCounter(COUNTER_GROUP,
                                    "REDUCE_OUTPUT_RECORDS").getValue();
  long reduceGrps = ctrs.findCounter(COUNTER_GROUP,
                                     "REDUCE_INPUT_GROUPS").getValue();
  assertEquals("map out = combine in", mapOut, combineIn);
  assertEquals("combine out = reduce in", combineOut, reduceIn);
  assertTrue("combine in > combine out", combineIn > combineOut);
  assertEquals("reduce groups = reduce out", reduceGrps, reduceOut);
  String group = "Random Group";
  CounterGroup ctrGrp = ctrs.getGroup(group);
  assertEquals(0, ctrGrp.size());
}

开发者ID:rhli，项目名称:hadoop-EAR，代码行数:47，代码来源:TestMapReduceLocal.java

示例4: runWordCount

import org.apache.hadoop.examples.WordCount.IntSumReducer; //导入依赖的package包/类
private void runWordCount(Configuration conf
                          ) throws IOException,
                                   InterruptedException,
                                   ClassNotFoundException {
  final String COUNTER_GROUP = "org.apache.hadoop.mapred.Task$Counter";
  localFs.delete(new Path(TEST_ROOT_DIR + "/in"), true);
  localFs.delete(new Path(TEST_ROOT_DIR + "/out"), true);    
  writeFile("in/part1", "this is a test\nof word count test\ntest\n");
  writeFile("in/part2", "more test");
  Job job = new Job(conf, "word count");     
  job.setJarByClass(WordCount.class);
  job.setMapperClass(TokenizerMapper.class);
  job.setCombinerClass(IntSumReducer.class);
  job.setReducerClass(IntSumReducer.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(IntWritable.class);
  job.setInputFormatClass(TrackingTextInputFormat.class);
  FileInputFormat.addInputPath(job, new Path(TEST_ROOT_DIR + "/in"));
  FileOutputFormat.setOutputPath(job, new Path(TEST_ROOT_DIR + "/out"));
  assertNull("job.getJobID() must be null before the job is submitted",
      job.getJobID());
  job.submit();
  assertNotNull("job.getJobID() can't be null after the job is submitted",
  job.getJobID());
  assertTrue(job.waitForCompletion(false));
  assertNotNull("job.getJobID() can't be null again after the job is finished",
  job.getJobID());
  String out = readFile("out/part-r-00000");
  System.out.println(out);
  assertEquals("a\t1\ncount\t1\nis\t1\nmore\t1\nof\t1\ntest\t4\nthis\t1\nword\t1\n",
               out);
  Counters ctrs = job.getCounters();
  System.out.println("Counters: " + ctrs);
  long combineIn = ctrs.findCounter(COUNTER_GROUP,
                                    "COMBINE_INPUT_RECORDS").getValue();
  long combineOut = ctrs.findCounter(COUNTER_GROUP, 
                                     "COMBINE_OUTPUT_RECORDS").getValue();
  long reduceIn = ctrs.findCounter(COUNTER_GROUP,
                                   "REDUCE_INPUT_RECORDS").getValue();
  long mapOut = ctrs.findCounter(COUNTER_GROUP, 
                                 "MAP_OUTPUT_RECORDS").getValue();
  long reduceOut = ctrs.findCounter(COUNTER_GROUP,
                                    "REDUCE_OUTPUT_RECORDS").getValue();
  long reduceGrps = ctrs.findCounter(COUNTER_GROUP,
                                     "REDUCE_INPUT_GROUPS").getValue();
  assertEquals("map out = combine in", mapOut, combineIn);
  assertEquals("combine out = reduce in", combineOut, reduceIn);
  assertTrue("combine in > combine out", combineIn > combineOut);
  assertEquals("reduce groups = reduce out", reduceGrps, reduceOut);
  String group = "Random Group";
  CounterGroup ctrGrp = ctrs.getGroup(group);
  assertEquals(0, ctrGrp.size());
}

开发者ID:Seagate，项目名称:hadoop-on-lustre，代码行数:54，代码来源:TestMapReduceLocal.java

示例5: runWordCount

import org.apache.hadoop.examples.WordCount.IntSumReducer; //导入依赖的package包/类
private void runWordCount(Configuration conf
                          ) throws IOException,
                                   InterruptedException,
                                   ClassNotFoundException {
  final String COUNTER_GROUP = "org.apache.hadoop.mapreduce.TaskCounter";
  localFs.delete(new Path(TEST_ROOT_DIR + "/in"), true);
  localFs.delete(new Path(TEST_ROOT_DIR + "/out"), true);    
  writeFile("in/part1", "this is a test\nof word count test\ntest\n");
  writeFile("in/part2", "more test");
  Job job = Job.getInstance(conf, "word count");     
  job.setJarByClass(WordCount.class);
  job.setMapperClass(TokenizerMapper.class);
  job.setCombinerClass(IntSumReducer.class);
  job.setReducerClass(IntSumReducer.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(IntWritable.class);
  job.setInputFormatClass(TrackingTextInputFormat.class);
  FileInputFormat.addInputPath(job, new Path(TEST_ROOT_DIR + "/in"));
  FileOutputFormat.setOutputPath(job, new Path(TEST_ROOT_DIR + "/out"));
  assertTrue(job.waitForCompletion(false));
  String out = readFile("out/part-r-00000");
  System.out.println(out);
  assertEquals("a\t1\ncount\t1\nis\t1\nmore\t1\nof\t1\ntest\t4\nthis\t1\nword\t1\n",
               out);
  Counters ctrs = job.getCounters();
  System.out.println("Counters: " + ctrs);
  long mapIn = ctrs.findCounter(FileInputFormat.COUNTER_GROUP, 
                                FileInputFormat.BYTES_READ).getValue();
  assertTrue(mapIn != 0);    
  long combineIn = ctrs.findCounter(COUNTER_GROUP,
                                    "COMBINE_INPUT_RECORDS").getValue();
  long combineOut = ctrs.findCounter(COUNTER_GROUP, 
                                     "COMBINE_OUTPUT_RECORDS").getValue();
  long reduceIn = ctrs.findCounter(COUNTER_GROUP,
                                   "REDUCE_INPUT_RECORDS").getValue();
  long mapOut = ctrs.findCounter(COUNTER_GROUP, 
                                 "MAP_OUTPUT_RECORDS").getValue();
  long reduceOut = ctrs.findCounter(COUNTER_GROUP,
                                    "REDUCE_OUTPUT_RECORDS").getValue();
  long reduceGrps = ctrs.findCounter(COUNTER_GROUP,
                                     "REDUCE_INPUT_GROUPS").getValue();
  long mergedMapOutputs = ctrs.findCounter(COUNTER_GROUP,
                                          "MERGED_MAP_OUTPUTS").getValue();
  long shuffledMaps = ctrs.findCounter(COUNTER_GROUP,
                                       "SHUFFLED_MAPS").getValue();
  assertEquals("map out = combine in", mapOut, combineIn);
  assertEquals("combine out = reduce in", combineOut, reduceIn);
  assertTrue("combine in > combine out", combineIn > combineOut);
  assertEquals("reduce groups = reduce out", reduceGrps, reduceOut);
  assertEquals("Mismatch in mergedMapOutputs", mergedMapOutputs, 2);
  assertEquals("Mismatch in shuffledMaps", shuffledMaps, 2);
  String group = "Random Group";
  CounterGroup ctrGrp = ctrs.getGroup(group);
  assertEquals(0, ctrGrp.size());
}

开发者ID:rekhajoshm，项目名称:mapreduce-fork，代码行数:56，代码来源:TestMapReduceLocal.java

示例6: runWordCount

import org.apache.hadoop.examples.WordCount.IntSumReducer; //导入依赖的package包/类
private void runWordCount(Configuration conf
                          ) throws IOException,
                                   InterruptedException,
                                   ClassNotFoundException {
  final String COUNTER_GROUP = "org.apache.hadoop.mapred.Task$Counter";
  localFs.delete(new Path(TEST_ROOT_DIR + "/in"), true);
  localFs.delete(new Path(TEST_ROOT_DIR + "/out"), true);    
  writeFile("in/part1", "this is a test\nof word count test\ntest\n");
  writeFile("in/part2", "more test");
  Job job = new Job(conf, "word count");     
  job.setJarByClass(WordCount.class);
  job.setMapperClass(TokenizerMapper.class);
  job.setCombinerClass(IntSumReducer.class);
  job.setReducerClass(IntSumReducer.class);
  job.setOutputKeyClass(Text.class);
  job.setOutputValueClass(IntWritable.class);
  job.setInputFormatClass(TrackingTextInputFormat.class);
  FileInputFormat.addInputPath(job, new Path(TEST_ROOT_DIR + "/in"));
  FileOutputFormat.setOutputPath(job, new Path(TEST_ROOT_DIR + "/out"));
  assertTrue(job.waitForCompletion(false));
  String out = readFile("out/part-r-00000");
  System.out.println(out);
  assertEquals("a\t1\ncount\t1\nis\t1\nmore\t1\nof\t1\ntest\t4\nthis\t1\nword\t1\n",
               out);
  Counters ctrs = job.getCounters();
  System.out.println("Counters: " + ctrs);
  long combineIn = ctrs.findCounter(COUNTER_GROUP,
                                    "COMBINE_INPUT_RECORDS").getValue();
  long combineOut = ctrs.findCounter(COUNTER_GROUP, 
                                     "COMBINE_OUTPUT_RECORDS").getValue();
  long reduceIn = ctrs.findCounter(COUNTER_GROUP,
                                   "REDUCE_INPUT_RECORDS").getValue();
  long mapOut = ctrs.findCounter(COUNTER_GROUP, 
                                 "MAP_OUTPUT_RECORDS").getValue();
  assertEquals("map out = combine in", mapOut, combineIn);
  assertEquals("combine out = reduce in", combineOut, reduceIn);
  assertTrue("combine in > combine out", combineIn > combineOut);
  String group = "Random Group";
  CounterGroup ctrGrp = ctrs.getGroup(group);
  assertEquals(0, ctrGrp.size());
}

开发者ID:koichi626，项目名称:hadoop-gpu，代码行数:42，代码来源:TestMapReduceLocal.java

注：本文中的org.apache.hadoop.examples.WordCount.IntSumReducer类示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。

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Java IntSumReducer类代码示例

示例1: main

示例2: runWordCount

示例3: runWordCount

示例4: runWordCount

示例5: runWordCount

示例6: runWordCount

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