使用Windows下的intellij IDEA 运行MapReduce程序远程调用Hadoop的hdfs（非Maven方法）

摘要: 模拟使用本地电脑登录机房hadoop环境

我使用的环境分别是：

本地：win10_64位+IDEA17.2.3

远程：虚拟机 UbuntuKylin16.10_64位+hadoop2.7.3

前提工作:

hadoop环境已经搭好，HDFS服务已经启动。

本地的intellij已经安装好，Jdk等配置好。

第一步：intellij IDEA的项目配置

1.建Java项目，空白项目即可。

2.添加hadoop依赖包。

用启动hdfs的hadoop文件中的hadoop-x.x.x/share/hadoop/下的所有文件复制出来，这所有都是要添加的依赖包，特别要再把hadoop-x.x.x/share/hadoop/common/lib添加到依赖包。

3.添加Windows下的必要文件

Windows下缺少winutils.exe和hadoop.dll文件，请在GitHub上搜索“winutils”，下载对应版本的文件。

比如我用的是hadoop2.7.3版本，所以：

4.添加HADOOP_HOME并添加到path

将第3步下载的所有的文件放到HADOOP_HOME/bin下即可，并在path下追加%HADOOP_HOME%\bin

然后，重启IDEA才能生效！！！

5.运行配置

这里以WordCount为例，需要写两个参数，输入文件和输入文件

注意：输出目录必须是不存在的目录，否则hadoop报错！！！

像这样：



这里的输入输出写远程的hdfs，按格式。

第二步：代码编写

很简单，这里拿hadoop源文件里给的wordcount例子来演示

package com.hadoop.mapreduce;

/**
* Created by Aqc on 2017/9/6.
*/
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
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;

import java.io.IOException;
import java.util.StringTokenizer;

public class WordCount {

public static class TokenizerMapper
extends Mapper<Object, Text, Text, IntWritable> {

private final static IntWritable one = new IntWritable(1);
private Text word = new Text();

@Override
public void map(Object key, Text value, Context context
) throws IOException, InterruptedException {
StringTokenizer itr = new StringTokenizer(value.toString());
while (itr.hasMoreTokens()) {
word.set(itr.nextToken());
context.write(word, one);
}
}
}

public static class IntSumReducer
extends Reducer<Text, IntWritable, Text, IntWritable> {
private IntWritable result = new IntWritable();

@Override
public void reduce(Text key, Iterable<IntWritable> values,
Context context
) throws IOException, InterruptedException {
int sum = 0;
for (IntWritable val : values) {
sum += val.get();
}
result.set(sum);
context.write(key, result);
}
}

private static void deleteDir(Configuration conf, String dirPath) throws IOException {
FileSystem fs = FileSystem.get(conf);
Path targetPath = new Path(dirPath);
if (fs.exists(targetPath)) {
boolean delResult = fs.delete(targetPath, true);
if (delResult) {
System.out.println(targetPath + " has been deleted sucessfullly.");
} else {
System.out.println(targetPath + " deletion failed.");
}
}

}

public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
/*  conf.set("fs.defaultFS","hdfs://192.168.56.101:8020");
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
if (otherArgs.length < 2) {
System.err.println("Usage: wordcount <in> [<in>...] <out>");
System.exit(2);
}
//先删除output目录
deleteDir(conf, otherArgs[otherArgs.length - 1]);*/
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);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}

}

第三步：连接远程hdfs，运行程序

首要：

1.确保你的hdfs监听的方式，在hadoop-x.x.x/etc/hadoop/core-site.xml中，fs.defaultFS的值hdfs://ip:port中的ip是不是127.0.0.1即localhost，如果是，则改为本地ip（或者添加/etc/hosts文件），port没有特别要求。。

2.为了保证没有权限问题在hdfs-site.xml文件中添加：

<property>
<name>dfs.permissions</name>
<value>false</value>
</property>

其实这样是不安全的，在企业中是不允许的，这里如果不考虑太多的话，可以这么改。

然后运行IDEA的代码就可以了。

IDEA的输出结果展示：

"D:\Program Files\Java\jdk1.7.0_80\bin\java" "-javaagent:D:\Program Files\IntelliJ IDEA 2017.2.3\lib\idea_rt.jar=53165:D:\Program Files\IntelliJ IDEA 2017.2.3\bin" -Dfile.encoding=UTF-8 -classpath "D:\Program Files\Java\jdk1.7.0_80\jre\lib\charsets.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\deploy.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\ext\access-bridge-64.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\ext\dnsns.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\ext\jaccess.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\ext\localedata.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\ext\sunec.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\ext\sunjce_provider.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\ext\sunmscapi.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\ext\zipfs.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\javaws.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\jce.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\jfr.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\jfxrt.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\jsse.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\management-agent.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\plugin.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\resources.jar;D:\Program Files\Java\jdk1.7.0_80\jre\lib\rt.jar;D:\Users\Aqc\Coding_why\MyHadoop_test\out\production\MyHadoop_test;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\hadoop-nfs-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\hadoop-common-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\hadoop-common-2.7.3-tests.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\hdfs\hadoop-hdfs-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\hdfs\hadoop-hdfs-nfs-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\hdfs\hadoop-hdfs-2.7.3-tests.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\httpfs;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\mapreduce\hadoop-mapreduce-examples-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\mapreduce\hadoop-mapreduce-client-hs-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\mapreduce\hadoop-mapreduce-client-app-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\mapreduce\hadoop-mapreduce-client-core-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\mapreduce\hadoop-mapreduce-client-common-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\mapreduce\hadoop-mapreduce-client-shuffle-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\mapreduce\hadoop-mapreduce-client-jobclient-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\mapreduce\hadoop-mapreduce-client-hs-plugins-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\mapreduce\hadoop-mapreduce-client-jobclient-2.7.3-tests.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-api-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-client-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-common-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-registry-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-server-tests-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-server-common-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-server-web-proxy-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-server-nodemanager-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-server-resourcemanager-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-server-sharedcachemanager-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-applications-distributedshell-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-server-applicationhistoryservice-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\yarn\hadoop-yarn-applications-unmanaged-am-launcher-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\xz-1.0.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\asm-3.2.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\avro-1.7.4.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\gson-2.2.4.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\junit-4.11.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jsch-0.1.42.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jsp-api-2.1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\xmlenc-0.52.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\guava-11.0.2.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jets3t-0.9.0.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jettison-1.1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jetty-6.1.26.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jsr305-3.0.0.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\log4j-1.2.17.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\paranamer-2.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\activation-1.1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-io-2.4.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\httpcore-4.2.5.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jaxb-api-2.2.2.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\stax-api-1.0-2.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-cli-1.2.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-net-3.1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jersey-core-1.9.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jersey-json-1.9.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\servlet-api-2.5.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\zookeeper-3.4.6.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-lang-2.6.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\httpclient-4.2.5.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\slf4j-api-1.7.10.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-codec-1.4.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\hadoop-auth-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\hamcrest-core-1.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jackson-xc-1.9.13.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jaxb-impl-2.2.3-1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jersey-server-1.9.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jetty-util-6.1.26.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\mockito-all-1.8.5.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\netty-3.6.2.Final.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\api-util-1.0.0-M20.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-math3-3.1.1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\java-xmlbuilder-0.4.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\protobuf-java-2.5.0.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\snappy-java-1.0.4.1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-digester-1.8.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\curator-client-2.7.1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jackson-jaxrs-1.9.13.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\slf4j-log4j12-1.7.10.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-logging-1.1.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\curator-recipes-2.7.1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\api-asn1-api-1.0.0-M20.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-compress-1.4.1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-httpclient-3.1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\apacheds-i18n-2.0.0-M15.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-beanutils-1.7.0.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\curator-framework-2.7.1.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jackson-core-asl-1.9.13.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\hadoop-annotations-2.7.3.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-collections-3.2.2.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-configuration-1.6.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\jackson-mapper-asl-1.9.13.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\commons-beanutils-core-1.8.0.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\htrace-core-3.1.0-incubating.jar;D:\Users\Coding_why\hadoop-2.7.3\share\hadoop\common\lib\apacheds-kerberos-codec-2.0.0-M15.jar" com.hadoop.mapreduce.WordCount hdfs://192.168.56.101:8020/user/hadoop/input1 hdfs://192.168.56.101:8020/user/hadoop/output2
2017-09-07 21:08:29,673 INFO  [main] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(1173)) - session.id is deprecated. Instead, use dfs.metrics.session-id
2017-09-07 21:08:29,676 INFO  [main] jvm.JvmMetrics (JvmMetrics.java:init(76)) - Initializing JVM Metrics with processName=JobTracker, sessionId=
2017-09-07 21:08:29,902 WARN  [main] mapreduce.JobResourceUploader (JobResourceUploader.java:uploadFiles(64)) - Hadoop command-line option parsing not performed. Implement the Tool interface and execute your application with ToolRunner to remedy this.
2017-09-07 21:08:29,942 WARN  [main] mapreduce.JobResourceUploader (JobResourceUploader.java:uploadFiles(171)) - No job jar file set.  User classes may not be found. See Job or Job#setJar(String).
2017-09-07 21:08:30,003 INFO  [main] input.FileInputFormat (FileInputFormat.java:listStatus(283)) - Total input paths to process : 2
2017-09-07 21:08:30,049 INFO  [main] mapreduce.JobSubmitter (JobSubmitter.java:submitJobInternal(198)) - number of splits:2
2017-09-07 21:08:30,181 INFO  [main] mapreduce.JobSubmitter (JobSubmitter.java:printTokens(287)) - Submitting tokens for job: job_local2028239795_0001
2017-09-07 21:08:30,353 INFO  [main] mapreduce.Job (Job.java:submit(1294)) - The url to track the job: http://localhost:8080/ 2017-09-07 21:08:30,354 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1339)) - Running job: job_local2028239795_0001
2017-09-07 21:08:30,355 INFO  [Thread-5] mapred.LocalJobRunner (LocalJobRunner.java:createOutputCommitter(471)) - OutputCommitter set in config null
2017-09-07 21:08:30,360 INFO  [Thread-5] output.FileOutputCommitter (FileOutputCommitter.java:<init>(108)) - File Output Committer Algorithm version is 1
2017-09-07 21:08:30,363 INFO  [Thread-5] mapred.LocalJobRunner (LocalJobRunner.java:createOutputCommitter(489)) - OutputCommitter is org.apache.hadoop.mapreduce.lib.output.FileOutputCommitter
2017-09-07 21:08:30,431 INFO  [Thread-5] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(448)) - Waiting for map tasks
2017-09-07 21:08:30,432 INFO  [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:run(224)) - Starting task: attempt_local2028239795_0001_m_000000_0
2017-09-07 21:08:30,452 INFO  [LocalJobRunner Map Task Executor #0] output.FileOutputCommitter (FileOutputCommitter.java:<init>(108)) - File Output Committer Algorithm version is 1
2017-09-07 21:08:30,458 INFO  [LocalJobRunner Map Task Executor #0] util.ProcfsBasedProcessTree (ProcfsBasedProcessTree.java:isAvailable(192)) - ProcfsBasedProcessTree currently is supported only on Linux.
2017-09-07 21:08:30,766 INFO  [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:initialize(612)) -  Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@285eaab5
2017-09-07 21:08:30,770 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:runNewMapper(756)) - Processing split: hdfs://192.168.56.101:8020/user/hadoop/input1/file0:0+20
2017-09-07 21:08:30,817 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:setEquator(1205)) - (EQUATOR) 0 kvi 26214396(104857584)
2017-09-07 21:08:30,818 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(998)) - mapreduce.task.io.sort.mb: 100
2017-09-07 21:08:30,818 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(999)) - soft limit at 83886080
2017-09-07 21:08:30,818 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(1000)) - bufstart = 0; bufvoid = 104857600
2017-09-07 21:08:30,818 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(1001)) - kvstart = 26214396; length = 6553600
2017-09-07 21:08:30,822 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:createSortingCollector(403)) - Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
2017-09-07 21:08:31,095 INFO  [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) -
2017-09-07 21:08:31,101 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1460)) - Starting flush of map output
2017-09-07 21:08:31,102 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1482)) - Spilling map output
2017-09-07 21:08:31,102 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1483)) - bufstart = 0; bufend = 36; bufvoid = 104857600
2017-09-07 21:08:31,102 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1485)) - kvstart = 26214396(104857584); kvend = 26214384(104857536); length = 13/6553600
2017-09-07 21:08:31,122 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:sortAndSpill(1667)) - Finished spill 0
2017-09-07 21:08:31,135 INFO  [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:done(1038)) - Task:attempt_local2028239795_0001_m_000000_0 is done. And is in the process of committing
2017-09-07 21:08:31,145 INFO  [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - map
2017-09-07 21:08:31,145 INFO  [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:sendDone(1158)) - Task 'attempt_local2028239795_0001_m_000000_0' done.
2017-09-07 21:08:31,145 INFO  [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:run(249)) - Finishing task: attempt_local2028239795_0001_m_000000_0
2017-09-07 21:08:31,145 INFO  [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:run(224)) - Starting task: attempt_local2028239795_0001_m_000001_0
2017-09-07 21:08:31,146 INFO  [LocalJobRunner Map Task Executor #0] output.FileOutputCommitter (FileOutputCommitter.java:<init>(108)) - File Output Committer Algorithm version is 1
2017-09-07 21:08:31,147 INFO  [LocalJobRunner Map Task Executor #0] util.ProcfsBasedProcessTree (ProcfsBasedProcessTree.java:isAvailable(192)) - ProcfsBasedProcessTree currently is supported only on Linux.
2017-09-07 21:08:31,210 INFO  [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:initialize(612)) -  Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@50a4a6f0
2017-09-07 21:08:31,212 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:runNewMapper(756)) - Processing split: hdfs://192.168.56.101:8020/user/hadoop/input1/file1:0+17
2017-09-07 21:08:31,245 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:setEquator(1205)) - (EQUATOR) 0 kvi 26214396(104857584)
2017-09-07 21:08:31,246 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(998)) - mapreduce.task.io.sort.mb: 100
2017-09-07 21:08:31,246 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(999)) - soft limit at 83886080
2017-09-07 21:08:31,246 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(1000)) - bufstart = 0; bufvoid = 104857600
2017-09-07 21:08:31,246 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:init(1001)) - kvstart = 26214396; length = 6553600
2017-09-07 21:08:31,247 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:createSortingCollector(403)) - Map output collector class = org.apache.hadoop.mapred.MapTask$MapOutputBuffer
2017-09-07 21:08:31,252 INFO  [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) -
2017-09-07 21:08:31,252 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1460)) - Starting flush of map output
2017-09-07 21:08:31,252 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1482)) - Spilling map output
2017-09-07 21:08:31,252 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1483)) - bufstart = 0; bufend = 29; bufvoid = 104857600
2017-09-07 21:08:31,252 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:flush(1485)) - kvstart = 26214396(104857584); kvend = 26214388(104857552); length = 9/6553600
2017-09-07 21:08:31,261 INFO  [LocalJobRunner Map Task Executor #0] mapred.MapTask (MapTask.java:sortAndSpill(1667)) - Finished spill 0
2017-09-07 21:08:31,270 INFO  [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:done(1038)) - Task:attempt_local2028239795_0001_m_000001_0 is done. And is in the process of committing
2017-09-07 21:08:31,273 INFO  [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - map
2017-09-07 21:08:31,273 INFO  [LocalJobRunner Map Task Executor #0] mapred.Task (Task.java:sendDone(1158)) - Task 'attempt_local2028239795_0001_m_000001_0' done.
2017-09-07 21:08:31,273 INFO  [LocalJobRunner Map Task Executor #0] mapred.LocalJobRunner (LocalJobRunner.java:run(249)) - Finishing task: attempt_local2028239795_0001_m_000001_0
2017-09-07 21:08:31,273 INFO  [Thread-5] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(456)) - map task executor complete.
2017-09-07 21:08:31,276 INFO  [Thread-5] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(448)) - Waiting for reduce tasks
2017-09-07 21:08:31,276 INFO  [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:run(302)) - Starting task: attempt_local2028239795_0001_r_000000_0
2017-09-07 21:08:31,285 INFO  [pool-6-thread-1] output.FileOutputCommitter (FileOutputCommitter.java:<init>(108)) - File Output Committer Algorithm version is 1
2017-09-07 21:08:31,286 INFO  [pool-6-thread-1] util.ProcfsBasedProcessTree (ProcfsBasedProcessTree.java:isAvailable(192)) - ProcfsBasedProcessTree currently is supported only on Linux.
2017-09-07 21:08:31,360 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1360)) - Job job_local2028239795_0001 running in uber mode : false
2017-09-07 21:08:31,361 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1367)) -  map 100% reduce 0%
2017-09-07 21:08:31,377 INFO  [pool-6-thread-1] mapred.Task (Task.java:initialize(612)) -  Using ResourceCalculatorProcessTree : org.apache.hadoop.yarn.util.WindowsBasedProcessTree@1af25560
2017-09-07 21:08:31,381 INFO  [pool-6-thread-1] mapred.ReduceTask (ReduceTask.java:run(362)) - Using ShuffleConsumerPlugin: org.apache.hadoop.mapreduce.task.reduce.Shuffle@26f5d2fd
2017-09-07 21:08:31,395 INFO  [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:<init>(197)) - MergerManager: memoryLimit=1303589632, maxSingleShuffleLimit=325897408, mergeThreshold=860369216, ioSortFactor=10, memToMemMergeOutputsThreshold=10
2017-09-07 21:08:31,397 INFO  [EventFetcher for fetching Map Completion Events] reduce.EventFetcher (EventFetcher.java:run(61)) - attempt_local2028239795_0001_r_000000_0 Thread started: EventFetcher for fetching Map Completion Events
2017-09-07 21:08:31,428 INFO  [localfetcher#1] reduce.LocalFetcher (LocalFetcher.java:copyMapOutput(144)) - localfetcher#1 about to shuffle output of map attempt_local2028239795_0001_m_000000_0 decomp: 46 len: 50 to MEMORY
2017-09-07 21:08:31,432 INFO  [localfetcher#1] reduce.InMemoryMapOutput (InMemoryMapOutput.java:shuffle(100)) - Read 46 bytes from map-output for attempt_local2028239795_0001_m_000000_0
2017-09-07 21:08:31,434 INFO  [localfetcher#1] reduce.MergeManagerImpl (MergeManagerImpl.java:closeInMemoryFile(315)) - closeInMemoryFile -> map-output of size: 46, inMemoryMapOutputs.size() -> 1, commitMemory -> 0, usedMemory ->46
2017-09-07 21:08:31,439 INFO  [localfetcher#1] reduce.LocalFetcher (LocalFetcher.java:copyMapOutput(144)) - localfetcher#1 about to shuffle output of map attempt_local2028239795_0001_m_000001_0 decomp: 37 len: 41 to MEMORY
2017-09-07 21:08:31,440 INFO  [localfetcher#1] reduce.InMemoryMapOutput (InMemoryMapOutput.java:shuffle(100)) - Read 37 bytes from map-output for attempt_local2028239795_0001_m_000001_0
2017-09-07 21:08:31,440 INFO  [localfetcher#1] reduce.MergeManagerImpl (MergeManagerImpl.java:closeInMemoryFile(315)) - closeInMemoryFile -> map-output of size: 37, inMemoryMapOutputs.size() -> 2, commitMemory -> 46, usedMemory ->83
2017-09-07 21:08:31,441 INFO  [EventFetcher for fetching Map Completion Events] reduce.EventFetcher (EventFetcher.java:run(76)) - EventFetcher is interrupted.. Returning
2017-09-07 21:08:31,441 INFO  [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - 2 / 2 copied.
2017-09-07 21:08:31,442 INFO  [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(687)) - finalMerge called with 2 in-memory map-outputs and 0 on-disk map-outputs
2017-09-07 21:08:31,454 INFO  [pool-6-thread-1] mapred.Merger (Merger.java:merge(606)) - Merging 2 sorted segments
2017-09-07 21:08:31,454 INFO  [pool-6-thread-1] mapred.Merger (Merger.java:merge(705)) - Down to the last merge-pass, with 2 segments left of total size: 69 bytes
2017-09-07 21:08:31,459 INFO  [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(754)) - Merged 2 segments, 83 bytes to disk to satisfy reduce memory limit
2017-09-07 21:08:31,460 INFO  [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(784)) - Merging 1 files, 85 bytes from disk
2017-09-07 21:08:31,461 INFO  [pool-6-thread-1] reduce.MergeManagerImpl (MergeManagerImpl.java:finalMerge(799)) - Merging 0 segments, 0 bytes from memory into reduce
2017-09-07 21:08:31,461 INFO  [pool-6-thread-1] mapred.Merger (Merger.java:merge(606)) - Merging 1 sorted segments
2017-09-07 21:08:31,462 INFO  [pool-6-thread-1] mapred.Merger (Merger.java:merge(705)) - Down to the last merge-pass, with 1 segments left of total size: 74 bytes
2017-09-07 21:08:31,462 INFO  [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - 2 / 2 copied.
2017-09-07 21:08:31,494 INFO  [pool-6-thread-1] Configuration.deprecation (Configuration.java:warnOnceIfDeprecated(1173)) - mapred.skip.on is deprecated. Instead, use mapreduce.job.skiprecords
2017-09-07 21:08:31,600 INFO  [pool-6-thread-1] mapred.Task (Task.java:done(1038)) - Task:attempt_local2028239795_0001_r_000000_0 is done. And is in the process of committing
2017-09-07 21:08:31,605 INFO  [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - 2 / 2 copied.
2017-09-07 21:08:31,605 INFO  [pool-6-thread-1] mapred.Task (Task.java:commit(1199)) - Task attempt_local2028239795_0001_r_000000_0 is allowed to commit now
2017-09-07 21:08:31,631 INFO  [pool-6-thread-1] output.FileOutputCommitter (FileOutputCommitter.java:commitTask(535)) - Saved output of task 'attempt_local2028239795_0001_r_000000_0' to hdfs://192.168.56.101:8020/user/hadoop/output2/_temporary/0/task_local2028239795_0001_r_000000
2017-09-07 21:08:31,632 INFO  [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:statusUpdate(591)) - reduce > reduce
2017-09-07 21:08:31,632 INFO  [pool-6-thread-1] mapred.Task (Task.java:sendDone(1158)) - Task 'attempt_local2028239795_0001_r_000000_0' done.
2017-09-07 21:08:31,632 INFO  [pool-6-thread-1] mapred.LocalJobRunner (LocalJobRunner.java:run(325)) - Finishing task: attempt_local2028239795_0001_r_000000_0
2017-09-07 21:08:31,632 INFO  [Thread-5] mapred.LocalJobRunner (LocalJobRunner.java:runTasks(456)) - reduce task executor complete.
2017-09-07 21:08:32,363 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1367)) -  map 100% reduce 100%
2017-09-07 21:08:32,363 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1378)) - Job job_local2028239795_0001 completed successfully
2017-09-07 21:08:32,376 INFO  [main] mapreduce.Job (Job.java:monitorAndPrintJob(1385)) - Counters: 35
File System Counters
FILE: Number of bytes read=1675
FILE: Number of bytes written=843672
FILE: Number of read operations=0
FILE: Number of large read operations=0
FILE: Number of write operations=0
HDFS: Number of bytes read=94
HDFS: Number of bytes written=45
HDFS: Number of read operations=22
HDFS: Number of large read operations=0
HDFS: Number of write operations=5
Map-Reduce Framework
Map input records=2
Map output records=7
Map output bytes=65
Map output materialized bytes=91
Input split bytes=232
Combine input records=7
Combine output records=7
Reduce input groups=6
Reduce shuffle bytes=91
Reduce input records=7
Reduce output records=6
Spilled Records=14
Shuffled Maps =2
Failed Shuffles=0
Merged Map outputs=2
GC time elapsed (ms)=0
Total committed heap usage (bytes)=1005060096
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=37
File Output Format Counters
Bytes Written=45

Process finished with exit code 0

以上。