package ssdut.training.mapreduce.medianstddev; 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.mapreduce.Job; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; public class MedianStdDevJob { public static void main(String[] args) throws Exception { //1.设置HDFS配置信息 String namenode_ip = "192.168.17.10"; String hdfs = "hdfs://" + namenode_ip + ":9000"; Configuration conf = new Configuration(); conf.set("fs.defaultFS", hdfs); conf.set("mapreduce.app-submission.cross-platform", "true"); //2.设置MapReduce作业配置信息 String jobName = "MedianStdDevJob"; //作业名称 Job job = Job.getInstance(conf, jobName); job.setJarByClass(MedianStdDevJob.class); //指定运行时作业类 job.setJar("export\\MedianStdDevJob.jar"); //指定本地jar包 job.setMapperClass(MedianStdDevMapper.class); //指定Mapper类 job.setMapOutputKeyClass(IntWritable.class); //设置Mapper输出Key类型 job.setMapOutputValueClass(IntWritable.class); //设置Mapper输出Value类型 job.setReducerClass(MedianStdDevReducer.class); //指定Reducer类 job.setOutputKeyClass(IntWritable.class); //设置Reduce输出Key类型 job.setOutputValueClass(MedianStdDevTuple.class); //设置Reduce输出Value类型 //3.设置作业输入和输出路径 String dataDir = "/expr/medianstddev/data"; //实验数据目录 String outputDir = "/expr/medianstddev/output"; //实验输出目录 Path inPath = new Path(hdfs + dataDir); Path outPath = new Path(hdfs + outputDir); FileInputFormat.addInputPath(job, inPath); FileOutputFormat.setOutputPath(job, outPath); FileSystem fs = FileSystem.get(conf); if(fs.exists(outPath)) { fs.delete(outPath, true); } //4.运行作业 System.out.println("Job: " + jobName + " is running..."); if(job.waitForCompletion(true)) { System.out.println("success!"); System.exit(0); } else { System.out.println("failed!"); System.exit(1); } } }