【大資料數列】windows下串連Linux環境開發

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一、設定檔1.core-site.xml

<configuration>   <property>     <name>fs.defaultFS</name>     <value>hdfs://www.node1.com:9000</value>   </property></configuration>

2、hdfs-site.xml

<configuration>  <property>    <name>dfs.replication</name>    <value>2</value>  </property></configuration>

3、yarn-site.xml

<property><name>yarn.resourcemanager.hostname</name><value>www.node1.com</value></property><property><name>yarn.nodemanager.aux-services</name><value>mapreduce_shuffle</value></property></configuration>

4、slaves

www.node2.comwww.node3.com

二、建立本地串連三、建立MapReduceProject1、File  -- new - Other  --MapReduceProject 2、建立測試檔案

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.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 org.apache.hadoop.util.GenericOptionsParser;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();    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();    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);    }    }    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(otherArgs.length);    System.err.println("Usage: wordcount <in> <out>");    System.exit(2);    }    System.out.println(otherArgs[0]);    System.out.println(otherArgs[1]);    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);    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));    System.exit(job.waitForCompletion(true) ? 0 : 1);    }}

3、run configuration

hdfs://www.node1.com:9000/usr/wchdfs://www.node1.com:9000/usr/wc/output

4、run

5、part-r-00000

apple    2banana    1cat    1dog    1hadoop    1hadpp    1hello    1mapreduce    1name    1world    1yarn    2

6、wc.txt

hadoop hellohadpp worldapple dogbanana catmapreduce nameyarnappleyarn

 

【大資料數列】windows下串連Linux環境開發