pom.xml
class="xml" name="code"><project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" > <modelVersion>4.0.0</modelVersion> <groupId>com.kovansys.test</groupId> <version>1.1.0</version> <artifactId>hadoop_test</artifactId> <packaging>jar</packaging> <properties> <maven.compiler.source>1.8</maven.compiler.source> <maven.compiler.target>1.8</maven.compiler.target> <hadoop.version>3.2.0</hadoop.version> <java.encoding>UTF-8</java.encoding> <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> </properties> <build> <directory>target</directory> <plugins> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-compiler-plugin</artifactId> <version>3.8.0</version> </plugin> </plugins> </build> <dependencies> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-common</artifactId> <version>${hadoop.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-hdfs</artifactId> <version>${hadoop.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> <version>${hadoop.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-mapreduce-client-core</artifactId> <version>${hadoop.version}</version> </dependency> </dependencies> </project>
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? ??WordCountStarter类
package hadoop; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.util.GenericOptionsParser; public class WordCountStarter { public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs(); if (otherArgs.length != 2) { System.err.println("Usage: WordCountStarter <in> <out>"); System.exit(2); } Job job = Job.getInstance(conf, "word count"); job.setJarByClass(WordCountStarter.class); job.setMapperClass(WordCountMapper.class); job.setCombinerClass(WordCountReducer.class); job.setReducerClass(WordCountReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(LongWritable.class); FileInputFormat.addInputPath(job, new Path(otherArgs[0])); FileOutputFormat.setOutputPath(job, new Path(otherArgs[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } }
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? ?WordCountMapper类
package hadoop; import java.io.IOException; import java.util.StringTokenizer; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Mapper; public class WordCountMapper extends Mapper<Object, Text, Text, LongWritable> { private static final LongWritable one = new LongWritable(1); private Text word = new Text(); public void map(Object key, Text value, Mapper<Object, Text, Text, LongWritable>.Context context) throws IOException, InterruptedException { StringTokenizer itr = new StringTokenizer(value.toString()); while (itr.hasMoreTokens()) { this.word.set(itr.nextToken()); context.write(this.word, one); } } }
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? ??WordCountReducer类
? ??
package hadoop; import java.io.IOException; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Reducer; public class WordCountReducer extends Reducer<Text, LongWritable, Text, LongWritable> { private LongWritable result = new LongWritable(); public void reduce(Text key, Iterable<LongWritable> values, Reducer<Text, LongWritable, Text, LongWritable>.Context context) throws IOException, InterruptedException { int sum = 0; for (LongWritable val : values) { sum += val.get(); } this.result.set(sum); context.write(key, this.result); } }
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? ?#打包
? ?$mvn clean install
? ?#将生成的jar包放到服务器上 如/opt/temp/hadoop_test-1.1.0.jar
? ?#运行mapreducer任务
? ?bin/hadoop jar /opt/temp/hadoop_test-1.1.0.jar hadoop.WordCountStarter? input output
? ?#查看结果
? ?bin/hdfs dfs -cat output/*
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