本地idea开发mapreduce程序提交到远程hadoop集群执行

plugins {
    id 'java'}


group 'com.ruizhiedu'version '0.1'
sourceCompatibility = 1.8
repositories {
    mavenCentral()
}

dependencies {
    compile group: 'org.apache.hadoop', name: 'hadoop-common', version: '3.1.0'compile group: 'org.apache.hadoop', name: 'hadoop-mapreduce-client-core', version: '3.1.0'compile group: 'org.apache.hadoop', name: 'hadoop-mapreduce-client-jobclient', version: '3.1.0'
    testCompile group: 'junit', name: 'junit', version: '4.12'}

package com;

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.Counter;
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;
import org.apache.hadoop.util.StringUtils;

import java.io.BufferedReader;

import java.io.FileReader;
import java.io.IOException;
import java.net.URI;
import java.util.*;



/**
 * @author wangxiaolei(王小雷)
 * @since 2018/11/22
 */

public classwc {
    public static classTokenizerMapper
            extends Mapper<Object, Text, Text, IntWritable>{

        static enumCountersEnum { INPUT_WORDS }

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

        privateboolean caseSensitive;
        private Set<String> patternsToSkip = new HashSet<String>();

        privateConfiguration conf;
        privateBufferedReader fis;

        @Override
        public voidsetup(Context context) throws IOException,
                InterruptedException {
            conf =context.getConfiguration();
            caseSensitive = conf.getBoolean("wordcount.case.sensitive", true);
            if (conf.getBoolean("wordcount.skip.patterns", false)) {
                URI[] patternsURIs =Job.getInstance(conf).getCacheFiles();
                for(URI patternsURI : patternsURIs) {
                    Path patternsPath = newPath(patternsURI.getPath());
                    String patternsFileName =patternsPath.getName().toString();
                    parseSkipFile(patternsFileName);
                }
            }
        }

        private voidparseSkipFile(String fileName) {
            try{
                fis = new BufferedReader(newFileReader(fileName));
                String pattern = null;
                while ((pattern = fis.readLine()) != null) {
                    patternsToSkip.add(pattern);
                }
            } catch(IOException ioe) {
                System.err.println("Caught exception while parsing the cached file '"
                        +StringUtils.stringifyException(ioe));
            }
        }

        @Override
        public voidmap(Object key, Text value, Context context
        ) throws IOException, InterruptedException {
            String line = (caseSensitive) ?value.toString() : value.toString().toLowerCase();
            for(String pattern : patternsToSkip) {
                line = line.replaceAll(pattern, "");
            }
            StringTokenizer itr = newStringTokenizer(line);
            while(itr.hasMoreTokens()) {
                word.set(itr.nextToken());
                context.write(word, one);
                Counter counter = context.getCounter(CountersEnum.class.getName(),
                        CountersEnum.INPUT_WORDS.toString());
                counter.increment(1);
            }
        }
    }

    public static classIntSumReducer
            extends Reducer<Text,IntWritable,Text,IntWritable>{
        private IntWritable result = newIntWritable();

        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 voidmain(String[] args) throws Exception {

        Configuration conf = newConfiguration();
        conf.set("yarn.resourcemanager.address", "192.168.56.101:8050");
        conf.set("mapreduce.framework.name", "yarn");
        conf.set("fs.defaultFS", "hdfs://vbusuanzi:9000/"); 
//conf.set("mapred.jar", "mapreduce/build/libs/mapreduce-0.1.jar"); //也可以在这里设置刚刚编译好的jar
        conf.set("mapred.job.tracker", "vbusuanzi:9001");
//conf.set("mapreduce.app-submission.cross-platform", "true");//Windows开发者需要设置跨平台
       args = new String[]{"/tmp/test/LICENSE.txt","/tmp/test/out30"};
        GenericOptionsParser optionParser = newGenericOptionsParser(conf, args);
        String[] remainingArgs =optionParser.getRemainingArgs();


        if ((remainingArgs.length != 2) && (remainingArgs.length != 4)) {
            System.err.println("Usage: wordcount <in> <out> [-skip skipPatternFile]");
            System.exit(2);
        }

        Job job = Job.getInstance(conf,"test");
        job.setJar("mapreduce/build/libs/mapreduce-0.1.jar");
        job.setJarByClass(com.wc.class);


        job.setMapperClass(TokenizerMapper.class);
        job.setCombinerClass(IntSumReducer.class);
        job.setReducerClass(IntSumReducer.class);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(IntWritable.class);

        List<String> otherArgs = new ArrayList<String>();
        for (int i=0; i < remainingArgs.length; ++i) {
            if ("-skip".equals(remainingArgs[i])) {
                job.addCacheFile(new Path(remainingArgs[++i]).toUri());
                job.getConfiguration().setBoolean("wordcount.skip.patterns", true);
            } else{
                otherArgs.add(remainingArgs[i]);
            }
        }
        FileInputFormat.addInputPath(job, new Path(otherArgs.get(0)));
        FileOutputFormat.setOutputPath(job, new Path(otherArgs.get(1)));



        job.waitForCompletion(true);

        System.exit(job.waitForCompletion(true) ? 0 : 1);
    }
}