MapReduce编程开发之求平均成绩

妖狐艹你老母 2024-04-17 20:27 47阅读 0赞

MapReduce计算平均成绩是一个常见的算法，本省思路很简单，就是将每个人的成绩汇总，然后做除法，在map阶段，是直接将姓名做key,分数作为value输出。在shuffle阶段，会将每个人的所有成绩做汇总，数据结构变为<name,<score1,score2...>>这样子，我们在reduce阶段就通过分数这个value-list来结算平均分。average = sum(score)/courseCount，即平均分等于分数总和除以课程数。

mapreduce代码：

package com.xxx.hadoop.mapred;
    import java.io.IOException;
    import java.util.StringTokenizer;
    import org.apache.hadoop.conf.Configuration;
    import org.apache.hadoop.fs.Path;
    import org.apache.hadoop.io.DoubleWritable;
    import org.apache.hadoop.io.IntWritable;
    import org.apache.hadoop.io.Text;
    import org.apache.hadoop.mapreduce.Job;
    import org.apache.hadoop.mapreduce.Mapper;
    import org.apache.hadoop.mapreduce.Reducer;
    import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
    import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
    
    /**
     * 求平均成绩
     *
     */
    public class AverageScoreApp {
    
    	public static class Map extends Mapper<Object, Text, Text, IntWritable>{
    		@Override
    		protected void map(Object key, Text value, Mapper<Object, Text, Text, IntWritable>.Context context)
    				throws IOException, InterruptedException {
    			//成绩的结构是:
    			// 张三	80
    			// 李四	82
    			// 王五	86
    			StringTokenizer tokenizer = new StringTokenizer(value.toString(), "\n");
    			while(tokenizer.hasMoreElements()) {
    				StringTokenizer lineTokenizer = new StringTokenizer(tokenizer.nextToken());
    				String name = lineTokenizer.nextToken(); //姓名
    				String score = lineTokenizer.nextToken();//成绩
    				context.write(new Text(name), new IntWritable(Integer.parseInt(score)));
    			}
    		}
    	}
    	
    	public static class Reduce extends Reducer<Text, IntWritable, Text, DoubleWritable>{
    		@Override
    		protected void reduce(Text key, Iterable<IntWritable> values,
    				Reducer<Text, IntWritable, Text, DoubleWritable>.Context context)
    				throws IOException, InterruptedException {
    			//reduce这里输入的数据结构是：
    			// 张三 <80,85,90>
    			// 李四 <82,88,94>
    			// 王五 <86,80,92>
    			int sum = 0;//所有课程成绩总分
    			double average = 0;//平均成绩
    			int courseNum = 0; //课程数目
    			for(IntWritable score:values) {
    				sum += score.get();
    				courseNum++;
    			}
    			average = sum/courseNum;
    			context.write(new Text(key), new DoubleWritable(average));
    		}
    	}
    	
    	public static void main(String[] args) throws Exception{
    		String input="/user/root/averagescore/input",
    			  output="/user/root/averagescore/output";
    		System.setProperty("HADOOP_USER_NAME", "root");
    		Configuration conf = new Configuration();
    		conf.set("fs.defaultFS", "hdfs://192.168.56.202:9000");
    		Job job = Job.getInstance(conf);
    		job.setJarByClass(AverageScoreApp.class);
    		job.setMapperClass(Map.class);
    		job.setReducerClass(Reduce.class);
    		
    		job.setMapOutputKeyClass(Text.class);
    		job.setMapOutputValueClass(IntWritable.class);
    		
    		job.setOutputKeyClass(Text.class);
    		job.setOutputValueClass(DoubleWritable.class);
    		
    		FileInputFormat.addInputPath(job, new Path(input));
    		FileOutputFormat.setOutputPath(job, new Path(output));
    		
    		System.exit(job.waitForCompletion(true)?0:1);
    	}
    
    }

准备学生成绩数据：

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L2ZlaW5pZmk_size_16_color_FFFFFF_t_70][]

控制台打印信息：

2019-08-31 15:50:26 [INFO ]  [main]  [org.apache.hadoop.conf.Configuration.deprecation] session.id is deprecated. Instead, use dfs.metrics.session-id
    2019-08-31 15:50:26 [INFO ]  [main]  [org.apache.hadoop.metrics.jvm.JvmMetrics] Initializing JVM Metrics with processName=JobTracker, sessionId=
    2019-08-31 15:50:27 [WARN ]  [main]  [org.apache.hadoop.mapreduce.JobResourceUploader] Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
    2019-08-31 15:50:27 [WARN ]  [main]  [org.apache.hadoop.mapreduce.JobResourceUploader] No job jar file set.  User classes may not be found. See Job or Job#setJar(String).
    2019-08-31 15:50:27 [INFO ]  [main]  [org.apache.hadoop.mapreduce.lib.input.FileInputFormat] Total input paths to process : 3
    2019-08-31 15:50:27 [INFO ]  [main]  [org.apache.hadoop.mapreduce.JobSubmitter] number of splits:3
    2019-08-31 15:50:27 [INFO ]  [main]  [org.apache.hadoop.mapreduce.JobSubmitter] Submitting tokens for job: job_local83653871_0001
    2019-08-31 15:50:27 [INFO ]  [main]  [org.apache.hadoop.mapreduce.Job] The url to track the job: http://localhost:8080/
    2019-08-31 15:50:27 [INFO ]  [main]  [org.apache.hadoop.mapreduce.Job] Running job: job_local83653871_0001
    2019-08-31 15:50:27 [INFO ]  [Thread-3]  [org.apache.hadoop.mapred.LocalJobRunner] OutputCommitter set in config null
    2019-08-31 15:50:27 [INFO ]  [Thread-3]  [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] File Output Committer Algorithm version is 1
    2019-08-31 15:50:27 [INFO ]  [Thread-3]  [org.apache.hadoop.mapred.LocalJobRunner] OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
    2019-08-31 15:50:27 [INFO ]  [Thread-3]  [org.apache.hadoop.mapred.LocalJobRunner] Waiting for map tasks
    2019-08-31 15:50:27 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.LocalJobRunner] Starting task: attempt_local83653871_0001_m_000000_0
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] File Output Committer Algorithm version is 1
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.yarn.util.ProcfsBasedProcessTree] ProcfsBasedProcessTree currently is supported only on Linux.
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.Task]  Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@52fc070c
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Processing split: hdfs://192.168.56.202:9000/user/root/averagescore/input/math.txt:0+55
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] (EQUATOR) 0 kvi 26214396(104857584)
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] mapreduce.task.io.sort.mb: 100
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] soft limit at 83886080
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] bufstart = 0; bufvoid = 104857600
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] kvstart = 26214396; length = 6553600
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.LocalJobRunner] 
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Starting flush of map output
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    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] bufstart = 0; bufend = 58; bufvoid = 104857600
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] kvstart = 26214396(104857584); kvend = 26214380(104857520); length = 17/6553600
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Finished spill 0
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    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.LocalJobRunner] map
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    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] File Output Committer Algorithm version is 1
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.yarn.util.ProcfsBasedProcessTree] ProcfsBasedProcessTree currently is supported only on Linux.
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.Task]  Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@3f0602b3
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Processing split: hdfs://192.168.56.202:9000/user/root/averagescore/input/chinese.txt:0+54
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] (EQUATOR) 0 kvi 26214396(104857584)
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    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] soft limit at 83886080
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    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] kvstart = 26214396; length = 6553600
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.LocalJobRunner] 
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Starting flush of map output
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    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] bufstart = 0; bufend = 58; bufvoid = 104857600
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] kvstart = 26214396(104857584); kvend = 26214380(104857520); length = 17/6553600
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Finished spill 0
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.Task] Task:attempt_local83653871_0001_m_000001_0 is done. And is in the process of committing
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.LocalJobRunner] map
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.Task] Task 'attempt_local83653871_0001_m_000001_0' done.
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    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] File Output Committer Algorithm version is 1
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    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.Task]  Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@47fe69f7
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Processing split: hdfs://192.168.56.202:9000/user/root/averagescore/input/english.txt:0+53
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] (EQUATOR) 0 kvi 26214396(104857584)
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    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] soft limit at 83886080
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] bufstart = 0; bufvoid = 104857600
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    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.LocalJobRunner] 
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Starting flush of map output
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    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] bufstart = 0; bufend = 58; bufvoid = 104857600
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] kvstart = 26214396(104857584); kvend = 26214380(104857520); length = 17/6553600
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.MapTask] Finished spill 0
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.Task] Task:attempt_local83653871_0001_m_000002_0 is done. And is in the process of committing
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.LocalJobRunner] map
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.Task] Task 'attempt_local83653871_0001_m_000002_0' done.
    2019-08-31 15:50:28 [INFO ]  [LocalJobRunner Map Task Executor #0]  [org.apache.hadoop.mapred.LocalJobRunner] Finishing task: attempt_local83653871_0001_m_000002_0
    2019-08-31 15:50:28 [INFO ]  [Thread-3]  [org.apache.hadoop.mapred.LocalJobRunner] map task executor complete.
    2019-08-31 15:50:28 [INFO ]  [Thread-3]  [org.apache.hadoop.mapred.LocalJobRunner] Waiting for reduce tasks
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.LocalJobRunner] Starting task: attempt_local83653871_0001_r_000000_0
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] File Output Committer Algorithm version is 1
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.yarn.util.ProcfsBasedProcessTree] ProcfsBasedProcessTree currently is supported only on Linux.
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.Task]  Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@4309aafd
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.ReduceTask] Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@44113ec8
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] MergerManager: memoryLimit=1265788544, maxSingleShuffleLimit=316447136, mergeThreshold=835420480, ioSortFactor=10, memToMemMergeOutputsThreshold=10
    2019-08-31 15:50:28 [INFO ]  [EventFetcher for fetching Map Completion Events]  [org.apache.hadoop.mapreduce.task.reduce.EventFetcher] attempt_local83653871_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events
    2019-08-31 15:50:28 [INFO ]  [localfetcher#1]  [org.apache.hadoop.mapreduce.task.reduce.LocalFetcher] localfetcher#1 about to shuffle output of map attempt_local83653871_0001_m_000000_0 decomp: 70 len: 74 to MEMORY
    2019-08-31 15:50:28 [INFO ]  [localfetcher#1]  [org.apache.hadoop.mapreduce.task.reduce.InMemoryMapOutput] Read 70 bytes from map-output for attempt_local83653871_0001_m_000000_0
    2019-08-31 15:50:28 [INFO ]  [localfetcher#1]  [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] closeInMemoryFile -> map-output of size: 70, inMemoryMapOutputs.size() -> 1, commitMemory -> 0, usedMemory ->70
    2019-08-31 15:50:28 [INFO ]  [localfetcher#1]  [org.apache.hadoop.mapreduce.task.reduce.LocalFetcher] localfetcher#1 about to shuffle output of map attempt_local83653871_0001_m_000001_0 decomp: 70 len: 74 to MEMORY
    2019-08-31 15:50:28 [INFO ]  [localfetcher#1]  [org.apache.hadoop.mapreduce.task.reduce.InMemoryMapOutput] Read 70 bytes from map-output for attempt_local83653871_0001_m_000001_0
    2019-08-31 15:50:28 [INFO ]  [localfetcher#1]  [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] closeInMemoryFile -> map-output of size: 70, inMemoryMapOutputs.size() -> 2, commitMemory -> 70, usedMemory ->140
    2019-08-31 15:50:28 [INFO ]  [localfetcher#1]  [org.apache.hadoop.mapreduce.task.reduce.LocalFetcher] localfetcher#1 about to shuffle output of map attempt_local83653871_0001_m_000002_0 decomp: 70 len: 74 to MEMORY
    2019-08-31 15:50:28 [INFO ]  [localfetcher#1]  [org.apache.hadoop.mapreduce.task.reduce.InMemoryMapOutput] Read 70 bytes from map-output for attempt_local83653871_0001_m_000002_0
    2019-08-31 15:50:28 [INFO ]  [localfetcher#1]  [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] closeInMemoryFile -> map-output of size: 70, inMemoryMapOutputs.size() -> 3, commitMemory -> 140, usedMemory ->210
    2019-08-31 15:50:28 [INFO ]  [EventFetcher for fetching Map Completion Events]  [org.apache.hadoop.mapreduce.task.reduce.EventFetcher] EventFetcher is interrupted.. Returning
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.LocalJobRunner] 3 / 3 copied.
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] finalMerge called with 3 in-memory map-outputs and 0 on-disk map-outputs
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.Merger] Merging 3 sorted segments
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.Merger] Down to the last merge-pass, with 3 segments left of total size: 174 bytes
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] Merged 3 segments, 210 bytes to disk to satisfy reduce memory limit
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] Merging 1 files, 210 bytes from disk
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapreduce.task.reduce.MergeManagerImpl] Merging 0 segments, 0 bytes from memory into reduce
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.Merger] Merging 1 sorted segments
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.Merger] Down to the last merge-pass, with 1 segments left of total size: 194 bytes
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.LocalJobRunner] 3 / 3 copied.
    2019-08-31 15:50:28 [INFO ]  [main]  [org.apache.hadoop.mapreduce.Job] Job job_local83653871_0001 running in uber mode : false
    2019-08-31 15:50:28 [INFO ]  [main]  [org.apache.hadoop.mapreduce.Job]  map 100% reduce 0%
    2019-08-31 15:50:28 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.conf.Configuration.deprecation] mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords
    2019-08-31 15:50:29 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.Task] Task:attempt_local83653871_0001_r_000000_0 is done. And is in the process of committing
    2019-08-31 15:50:29 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.LocalJobRunner] 3 / 3 copied.
    2019-08-31 15:50:29 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.Task] Task attempt_local83653871_0001_r_000000_0 is allowed to commit now
    2019-08-31 15:50:29 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter] Saved output of task 'attempt_local83653871_0001_r_000000_0' to hdfs://192.168.56.202:9000/user/root/averagescore/output/_temporary/0/task_local83653871_0001_r_000000
    2019-08-31 15:50:29 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.LocalJobRunner] reduce > reduce
    2019-08-31 15:50:29 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.Task] Task 'attempt_local83653871_0001_r_000000_0' done.
    2019-08-31 15:50:29 [INFO ]  [pool-6-thread-1]  [org.apache.hadoop.mapred.LocalJobRunner] Finishing task: attempt_local83653871_0001_r_000000_0
    2019-08-31 15:50:29 [INFO ]  [Thread-3]  [org.apache.hadoop.mapred.LocalJobRunner] reduce task executor complete.
    2019-08-31 15:50:29 [INFO ]  [main]  [org.apache.hadoop.mapreduce.Job]  map 100% reduce 100%
    2019-08-31 15:50:29 [INFO ]  [main]  [org.apache.hadoop.mapreduce.Job] Job job_local83653871_0001 completed successfully
    2019-08-31 15:50:29 [INFO ]  [main]  [org.apache.hadoop.mapreduce.Job] Counters: 35
    	File System Counters
    		FILE: Number of bytes read=4456
    		FILE: Number of bytes written=1087800
    		FILE: Number of read operations=0
    		FILE: Number of large read operations=0
    		FILE: Number of write operations=0
    		HDFS: Number of bytes read=488
    		HDFS: Number of bytes written=63
    		HDFS: Number of read operations=33
    		HDFS: Number of large read operations=0
    		HDFS: Number of write operations=6
    	Map-Reduce Framework
    		Map input records=15
    		Map output records=15
    		Map output bytes=174
    		Map output materialized bytes=222
    		Input split bytes=393
    		Combine input records=0
    		Combine output records=0
    		Reduce input groups=5
    		Reduce shuffle bytes=222
    		Reduce input records=15
    		Reduce output records=5
    		Spilled Records=30
    		Shuffled Maps =3
    		Failed Shuffles=0
    		Merged Map outputs=3
    		GC time elapsed (ms)=27
    		Total committed heap usage (bytes)=1493172224
    	Shuffle Errors
    		BAD_ID=0
    		CONNECTION=0
    		IO_ERROR=0
    		WRONG_LENGTH=0
    		WRONG_MAP=0
    		WRONG_REDUCE=0
    	File Input Format Counters 
    		Bytes Read=162
    	File Output Format Counters 
    		Bytes Written=63

运行完毕，查看结果：

![20190831155630556.png][]

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[20190831155630556.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/04/17/8f1495a0ce534ead991182972b2eee51.png