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    mysql中blob数据处理方式

    具体代码如下所示:

    package epoint.mppdb_01.h3c;
    import java.io.File;
    import java.io.FileInputStream;
    import java.io.FileOutputStream;
    import java.io.InputStream;
    import java.io.OutputStream;
    import java.net.URI;
    import java.sql.Blob;
    import java.sql.Connection;
    import java.sql.DriverManager;
    import java.sql.ResultSet;
    import java.sql.Statement;
    import org.apache.commons.net.ftp.FTPClient;
    import org.apache.commons.net.ftp.FTPReply;
    import org.apache.hadoop.conf.Configuration;
    import org.apache.hadoop.fs.FSDataInputStream;
    import org.apache.hadoop.fs.FileSystem;
    import org.apache.hadoop.fs.Path;
    import org.apache.hadoop.io.IOUtils;
    public class MySQLblobToMPPphoto {
      // MySQL连接
      public static Connection getMySQLConnection() throws Exception {
        String MySQLDRIVER = "com.mysql.jdbc.Driver";
        String MySQLURL = "jdbc:mysql://192.168.186.13:3306/bigdata_scene03_rktj";
        String MySQLUSERNAME = "root";
        String MySQLPASSWORD = "Gepoint";
        Connection MySQLconn = DriverManager.getConnection(MySQLURL, MySQLUSERNAME, MySQLPASSWORD);
        return MySQLconn;
      }
      // MPP连接
      public static Connection getMPPConnection() throws Exception {
        String MPPDRIVER = "com.MPP.jdbc.Driver";
        String MPPURL = "jdbc:MPP://192.168.186.14:5258/bigdata_scene03_rktj";
        String MPPUSERNAME = "mpp";
        String MPPPASSWORD = "h3c";
        Connection MPPconn = DriverManager.getConnection(MPPURL, MPPUSERNAME, MPPPASSWORD);
        return MPPconn;
      }
      //
      public static void getMySQLblobToHDFS() throws Exception {
        Connection conn = getMySQLConnection();
        ResultSet rs = null;
        try {
          String sql = "select ROW_ID,photo from t_rk_baseinfo_blob limit 10";
          Statement prest = conn.prepareStatement(sql);
          rs = prest.executeQuery(sql);
          while (rs.next()) {
            int row_id = rs.getInt(1);
            Blob photo = rs.getBlob(2);
            System.out.println(row_id + " " + photo);
            InputStream in = photo.getBinaryStream();
            OutputStream out = new FileOutputStream("H:/photo/" + row_id + ".jpg");
            int len = 0;
            byte[] buffer = new byte[1024];
            while ((len = in.read(buffer)) != -1) {
              out.write(buffer, 0, len);
            }
            upload("H:/photo/" + row_id + ".jpg");
          }
          prest.close();
          rs.close();
        } catch (Exception e) {
          e.printStackTrace();
        } finally {
          // 关闭连接
          if (conn != null) {
            try {
              conn.close();
              conn = null;
            } catch (Exception e) {
              e.printStackTrace();
            }
          }
        }
      }
      public static void main(String[] args) throws Exception {
        getMySQLblobToHDFS();
      }
      // HDFS附件上传
      public static void upload(String uploadpath) throws Exception {
        Configuration conf = new Configuration();
        URI uri = new URI("hdfs://192.168.186.14:8020");
        FileSystem fs = FileSystem.get(uri, conf, "HDFS");
        Path resP = new Path(uploadpath);
        Path destP = new Path("/photo");
        if (!fs.exists(destP)) {
          fs.mkdirs(destP);
        }
        fs.copyFromLocalFile(resP, destP);
        fs.close();
        System.out.println("***********************");
        System.out.println("上传成功!");
      }
      // HDFS附件下载
      public static void download() throws Exception {
        Configuration conf = new Configuration();
        String dest = "hdfs://192.168.186.14:/photo/11.png";
        String local = "D://11.png";
        FileSystem fs = FileSystem.get(URI.create(dest), conf, "hdfs");
        FSDataInputStream fsdi = fs.open(new Path(dest));
        OutputStream output = new FileOutputStream(local);
        IOUtils.copyBytes(fsdi, output, 4096, true);
        System.out.println("***********************");
        System.out.println("下载成功!");
      }
    }

    总结

    以上所述是小编给大家介绍的mysql中blob数据处理方式,希望对大家有所帮助,如果大家有任何疑问请给我留言,小编会及时回复大家的。在此也非常感谢大家对脚本之家网站的支持!

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