HDFS的文件操作

HDFS的文件操作
格式化HDFS
命令：user@namenode:hadoop$ bin/hadoop namenode -format
启动HDFS
命令：user@namenode:hadoop$ bin/start-dfs.sh

列出HDFS上的文件

命令：user@namenode:hadoop$ bin/hadoop dfs -ls 

使用hadoop API

 

"">public List GetFileBolckHost(Configuration conf, String FileName) {
        try {
            List list = new ArrayList();
            FileSystem hdfs = FileSystem.get(conf);
            Path path = new Path(FileName);
            FileStatus fileStatus = hdfs.getFileStatus(path);

            BlockLocation[] blkLocations = hdfs.getFileBlockLocations(
                    fileStatus, 0, fileStatus.getLen());

            int blkCount = blkLocations.length;
            for (int i = 0; i < blkCount; i++) {
                String[] hosts = blkLocations[i].getHosts();
                list.add(hosts);
            }
            return list;
        } catch (IOException e) {
            e.printStackTrace();
        }
        return null;
    }

 

 

在HDFS上创建目录
命令：user@namenode:hadoop$ bin/hadoop dfs -mkdir /文件名

使用hadoop API

"">// 在HDFS新建文件
    public FSDataOutputStream CreateFile(Configuration conf, String FileName) {
        try {
            FileSystem hdfs = FileSystem.get(conf);
            Path path = new Path(FileName);
            FSDataOutputStream outputStream = hdfs.create(path);
            return outputStream;
        } catch (IOException e) {
            e.printStackTrace();
        }
        return null;
    }

 
上传一个文件到HDFS
命令：user@namenode:hadoop$ bin/hadoop dfs -put 文件名 /user/yourUserName/

使用hadoop API

"">// 上传文件到HDFS
    public void PutFile(Configuration conf, String srcFile, String dstFile) {
        try {
            FileSystem hdfs = FileSystem.get(conf);
            Path srcPath = new Path(srcFile);
            Path dstPath = new Path(dstFile);
            hdfs.copyFromLocalFile(srcPath, dstPath);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

 
从 HDFS 中导出数据

命令：user@namenode:hadoop$ bin/hadoop dfs -cat foo

使用hadoop API

"">// 从HDFS读取文件
    public void ReadFile(Configuration conf, String FileName) {
        try {
            FileSystem hdfs = FileSystem.get(conf);
            FSDataInputStream dis = hdfs.open(new Path(FileName));
            IOUtils.copyBytes(dis, System.out, 4096, false);
            dis.close();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

 
HDFS 的关闭
命令：user@namenode:hadoop$ bin/stop-dfs.sh

 

HDFS全局状态信息

命令：bin/hadoop dfsadmin -report

我们可以得到一份全局状态报告。这份报告包含了HDFS集群的基本信息，当然也有每台机器的一些情况。

    以上讲的都是本地操作HDFS，都是基于在ubuntu下并配置有hadoop环境下对HDFS的操作，作为客户端也可以在window系统下远程的对 HDFS进行操作，其实原理基本上差不多，只需要集群中namenode对外开放的IP和端口，就可以访问到HDFS

"">/**
 * 对HDFS操作
 * @author yujing
 *
 */
public class Write {
    public static void main(String[] args) {
        try {
            uploadTohdfs();
            readHdfs();
            getDirectoryFromHdfs();
        } catch (FileNotFoundException e) {
            e.printStackTrace();
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    public static void uploadTohdfs() throws FileNotFoundException, IOException {
        String localSrc = "D://qq.txt";
        String dst = "hdfs://192.168.1.11:9000/usr/yujing/test.txt";
        InputStream in = new BufferedInputStream(new FileInputStream(localSrc));
        Configuration conf = new Configuration();
        FileSystem fs = FileSystem.get(URI.create(dst), conf);
        OutputStream out = fs.create(new Path(dst), new Progressable() {
            public void progress() {
                System.out.println(".");
            }
        });
        System.out.println("上传文件成功");
        IOUtils.copyBytes(in, out, 4096, true);
    }

    /** 从HDFS上读取文件 */
    private static void readHdfs() throws FileNotFoundException, IOException {
        String dst = "hdfs://192.168.1.11:9000/usr/yujing/test.txt";
        Configuration conf = new Configuration();
        FileSystem fs = FileSystem.get(URI.create(dst), conf);
        FSDataInputStream hdfsInStream = fs.open(new Path(dst));

        OutputStream out = new FileOutputStream("d:/qq-hdfs.txt");
        byte[] ioBuffer = new byte[1024];
        int readLen = hdfsInStream.read(ioBuffer);

        while (-1 != readLen) {
            out.write(ioBuffer, 0, readLen);
            readLen = hdfsInStream.read(ioBuffer);
        }
        System.out.println("读文件成功");
        out.close();
        hdfsInStream.close();
        fs.close();
    }

    /**
     * 以append方式将内容添加到HDFS上文件的末尾;注意：文件更新，需要在hdfs-site.xml中添dfs.
     * append.supporttrue
     */
    private static void appendToHdfs() throws FileNotFoundException,
            IOException {
        String dst = "hdfs://192.168.1.11:9000/usr/yujing/test.txt";
        Configuration conf = new Configuration();
        FileSystem fs = FileSystem.get(URI.create(dst), conf);
        FSDataOutputStream out = fs.append(new Path(dst));

        int readLen = "zhangzk add by hdfs java api".getBytes().length;

        while (-1 != readLen) {
            out.write("zhangzk add by hdfs java api".getBytes(), 0, readLen);
        }
        out.close();
        fs.close();
    }

    /** 从HDFS上删除文件 */
    private static void deleteFromHdfs() throws FileNotFoundException,
            IOException {
        String dst = "hdfs://192.168.1.11:9000/usr/yujing";
        Configuration conf = new Configuration();
        FileSystem fs = FileSystem.get(URI.create(dst), conf);
        fs.deleteOnExit(new Path(dst));
        fs.close();
    }

    /** 遍历HDFS上的文件和目录 */
    private static void getDirectoryFromHdfs() throws FileNotFoundException,
            IOException {
        String dst = "hdfs://192.168.1.11:9000/usr/yujing";
        Configuration conf = new Configuration();
        FileSystem fs = FileSystem.get(URI.create(dst), conf);
        FileStatus fileList[] = fs.listStatus(new Path(dst));
        int size = fileList.length;
        for (int i = 0; i < size; i++) {
            System.out.println("文件名name:" + fileList[i].getPath().getName()
                    + "文件大小/t/tsize:" + fileList[i].getLen());
        }
        fs.close();
    }

}

 

 

我们可以通过http://主机IP：50030就可以查看集群的所有信息，也可以查看到自己上传到HDFS上的文件