package ssdut.training.mapreduce.weblog; import java.io.IOException; import java.text.ParseException; import java.text.SimpleDateFormat; import java.util.Locale; import java.util.regex.Pattern; 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.LongWritable; 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; //1. 计算网站全天产生的流量 public class FlowCount { public static class FlowCountMapper extends Mapper<Object, Text, Text, IntWritable> { private SimpleDateFormat SDFIN = new SimpleDateFormat("d/MMM/yyyy:HH:mm:ss", Locale.ENGLISH); private SimpleDateFormat SDFOUT = new SimpleDateFormat("yyyy-MM-dd"); private Text date = new Text(); //Map输出key private IntWritable flow = new IntWritable(); //Map输出value public void map(Object key, Text value, Context context ) throws IOException, InterruptedException { String[] strs = value.toString().split(" "); String strFlow = strs[strs.length-1]; //获取流量字符串 String strTime = strs[3].substring(1); //获取时间字符串 String strDate = null; //定义日期字符串 try { strDate = SDFOUT.format(SDFIN.parse(strTime)); //时间格式转成日期格式 } catch (ParseException e) { e.printStackTrace(); } //利用正则表达式判断strFlow是否是数字 if ( Pattern.compile("[0-9]+").matcher(strFlow).matches() ) { flow.set(Integer.parseInt(strFlow)); date.set(strDate); context.write(date, flow); } } } public static class FlowCountReducer extends Reducer<Text,IntWritable,Text,LongWritable> { public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { long sum = 0; for (IntWritable val : values) { sum += val.get(); } context.write(key, new LongWritable(sum)); /* for (IntWritable val : values) { context.write(key, val); } */ } } 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 = "FlowCount"; //作业名称 Job job = Job.getInstance(conf, jobName); job.setJarByClass(FlowCount.class); //指定运行时作业类 job.setJar("export\\FlowCount.jar"); //指定本地jar包 job.setMapperClass(FlowCountMapper.class); //指定Mapper类 job.setMapOutputKeyClass(Text.class); //设置Mapper输出Key类型 job.setMapOutputValueClass(IntWritable.class); //设置Mapper输出Value类型 job.setReducerClass(FlowCountReducer.class); //指定Reducer类 job.setOutputKeyClass(Text.class); //设置Reduce输出Key类型 job.setOutputValueClass(IntWritable.class); //设置Reduce输出Value类型 //3.设置作业输入和输出路径 String dataDir = "/expr/weblog/data"; //实验数据目录 String outputDir = "/expr/weblog/output1"; //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); } } }