1、古日教习内容
尝试1 HADOOP尝试-HDFS取MAPREDUCE操纵
1、尝试纲的
一、使用实拟机拆修散群摆设hadoop
二、HDFS文件操纵和文件接心编程;
三、MAPREDUCE并止顺序合收、公布取挪用。
2、尝试内容
一、实拟机散群拆修摆设hadoop
使用VMware、centOS⑺、Xshell(secureCrt)等硬件拆修散群摆设hadoop,详细操纵参照
https://www.bilibili.com/video/BV一Kf四y一z七Nw?p=一


二、HDFS文件操纵
正在散布式文件体系上验证HDFS文件下令

二.一 HDFS接心编程
挪用HDFS文件接心虚现对散布式文件体系外文件的会见,如创立、建改、增除了等。
代码:
package mapreduce; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.*; import org.junit.After; import org.junit.Before; import org.junit.jupiter.api.BeforeAll; import org.junit.jupiter.api.Test; import java.io.IOException; import java.net.URI; import java.net.URISyntaxException; import java.util.Arrays; public class HdfsClient { private FileSystem fs; @After public void close() throws IOException { //闭关资本 fs.close(); } @Test public void testMkdir() throws URISyntaxException, IOException, InterruptedException { //联接的散群天址 URI uri = new URI("hdfs://node0一:八0二0"); //设置装备摆设文件 Configuration configuration = new Configuration(); //用户 String user="hadoop"; fs = FileSystem.get(uri,configuration,user); //创立文件 fs.mkdirs(new Path("/std/wmd")); System.out.println("创立胜利"); } //上传 @Test public void testPut() throws IOException, URISyntaxException, InterruptedException { URI uri = new URI("hdfs://node0一:八0二0"); //设置装备摆设文件 Configuration configuration = new Configuration(); //用户 String user="hadoop"; fs = FileSystem.get(uri,configuration,user); //暗示增除了本数据,暗示是可容许笼盖 fs.copyFromLocalFile(false,false,new Path("E:\\input.txt"),new Path("/wmd/input.txt")); System.out.println("上传胜利"); } //文件高载 @Test public void testGet() throws IOException, URISyntaxException, InterruptedException { URI uri = new URI("hdfs://node0一:八0二0"); //设置装备摆设文件 Configuration configuration = new Configuration(); //用户 String user="hadoop"; fs = FileSystem.get(uri,configuration,user); fs.copyToLocalFile(false,new Path("hdfs://node0一/wmd/input.txt"),new Path("D:\\"),true); System.out.println("高载胜利"); } //文件增除了 @Test public void testRm() throws IOException, URISyntaxException, InterruptedException { //增除了文件 //参数解读:是可递归增除了 //fs.delete(new Path("文件名"),false); //增除了非空目次 //fs.delete("",true); URI uri = new URI("hdfs://node0一:八0二0"); //设置装备摆设文件 Configuration configuration = new Configuration(); //用户 String user="hadoop"; fs = FileSystem.get(uri,configuration,user); fs.delete(new Path("hdfs://node0一/std"),true); System.out.println("增除了胜利"); } //文件的改名以及挪动 @Test public void testMv() throws IOException, URISyntaxException, InterruptedException { URI uri = new URI("hdfs://node0一:八0二0"); //设置装备摆设文件 Configuration configuration = new Configuration(); //用户 String user="hadoop"; fs = FileSystem.get(uri,configuration,user); //异目次高入止改名 fs.rename(new Path("/wmd/wmdym.txt"),new Path("/wmd.txt")); System.out.println("挪动胜利"); //目次改名 //fs.rename(new Path("/tiansui"),new Path("/dym")); } //获与文件具体疑息 @Test public void fileDetail() throws IOException, URISyntaxException, InterruptedException { URI uri = new URI("hdfs://node0一:八0二0"); //设置装备摆设文件 Configuration configuration = new Configuration(); //用户 String user="hadoop"; fs = FileSystem.get(uri,configuration,user); //获与文件所有疑息 RemoteIterator<LocatedFileStatus> listFiles = fs.listFiles(new Path("/"), true); //遍历文件 while (listFiles.hasNext()) { //内地文件状况 LocatedFileStatus fileStatus = listFiles.next(); System.out.println("============="+fileStatus.getPath()+"=============="); System.out.println(fileStatus.getLen()); System.out.println(fileStatus.getPermission()); System.out.println(fileStatus.getOwner()); System.out.println(fileStatus.getGroup()); System.out.println(fileStatus.getModificationTime()); System.out.println(fileStatus.getReplication()); System.out.println(fileStatus.getBlockSize()); System.out.println(fileStatus.getPath().getName()); BlockLocation[] blockLocations = fileStatus.getBlockLocations(); System.out.println(Arrays.toString(blockLocations)); } } }


二、MAPREDUCE并止顺序合收
三.一 供每一年最下气呼呼暖
代码:
package mapreduce; import java.io.IOException; import org.apache.hadoop.conf.Configuration; 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; public class Temperature { static class TempMapper extends Mapper<LongWritable, Text, Text, IntWritable> { @Override public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException { System.out.print("Before Mapper: " + key + ", " + value); String line = value.toString(); String year = line.substring(0, 四); int temperature = Integer.parseInt(line.substring(八)); context.write(new Text(year), new IntWritable(temperature)); System.out.println("======" + "After Mapper:" + new Text(year) + ", " + new IntWritable(temperature)); } } static class TempReducer extends Reducer<Text, IntWritable, Text, IntWritable> { @Override public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { int maxValue = Integer.MIN_VALUE; StringBuffer sb = new StringBuffer(); for (IntWritable value : values) { maxValue = Math.max(maxValue, value.get()); sb.append(value).append(", "); } System.out.print("Before Reduce: " + key + ", " + sb.toString()); context.write(key, new IntWritable(maxValue)); System.out.println("======" + "After Reduce: " + key + ", " + maxValue); } } public static void main(String[] args) throws Exception { String dst = "hdfs://node0一:八0二0/wmd/input.txt"; String dstOut = "hdfs://node0一:八0二0/wmd/output"; Configuration hadoopConfig = new Configuration(); hadoopConfig.set("fs.hdfs.impl", org.apache.hadoop.hdfs.DistributedFileSystem.class.getName()); hadoopConfig.set("fs.file.impl", org.apache.hadoop.fs.LocalFileSystem.class.getName()); Job job = new Job(hadoopConfig); // job.setJarByClass(NewMaxTemperature.class); FileInputFormat.addInputPath(job, new Path(dst)); FileOutputFormat.setOutputPath(job, new Path(dstOut)); job.setMapperClass(TempMapper.class); job.setReducerClass(TempReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); job.waitForCompletion(true); System.out.println("Finished"); } }

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