java 跨数据库导入大数据

java 跨数据库导入大数据

 /**
	  *  java程序跨服务器跨数据库批量导入导出百万级数据
	  * @param args
	  * @throws Exception
	  */
	public static void main(String args[]) throws Exception {
		ResultSet rs = null;
		Statement s1 = null;
		Statement s2 = null;
		Connection cn1 = null;
		Connection cn2 = null;
		long startTime = 0;// 开始时间
		long endTime = 0; // 结束时间
		int count = 1; // 计数
		int onerun = 0; // 执行的最大数
		int datanum = 0; // 总条数
		int num = 0; // 取整最大数据

		try {
			startTime = System.currentTimeMillis();
			Class.forName("com.microsoft.sqlserver.jdbc.SQLServerDriver");
			Class.forName("oracle.jdbc.driver.OracleDriver");
			cn1 = DriverManager.getConnection("jdbc:oracle:thin:@192.168.1.16:1521:oracleDb", "test", "test2012");
			cn2 = DriverManager.getConnection("jdbc:sqlserver://192.168.1.18:1433;databaseName=dbsql;user=sa;password=db2012");
			// 插入oracle数据库时使用事务批量提交
			cn1.setAutoCommit(false);
			if (cn2 != null) {
				//ORACLE 数据库
				s1 = cn1.createStatement();
				//sqlserver 数据库
				s2 = cn2.createStatement(ResultSet.TYPE_SCROLL_SENSITIVE, ResultSet.CONCUR_UPDATABLE);
			
				// 先查询sqlserver数据源表，获取总数据条数
				rs = s2.executeQuery("select count(vcBusiFlowNo) from tb_His2_Ask_Pay_Fee");
				if (rs.next()) {
					datanum = rs.getInt(1);
				}
				System.out.println("总记录数：" + datanum + "条");
				onerun = 10000;// 执行的最大数
				// 计算出总条数符合每批10000的数量是多少
				num = datanum / onerun * onerun;
				s2.setMaxRows(datanum);
				s2.setFetchSize(onerun);// 每批执行的数据条数
				//查询
				rs = s2.executeQuery(
						"select nSerialNo,vcBusiFlowNo,vcBusiTypeID,vcBusiNumber,vcUserName,vcUserAddress,vcUserLinkTel,nPayFee,vcBusiMonth,vcComments,dOperDate,vcOperID,vcDealerID,vcAreaCode,vcDealerGradeID from tb_His2_Ask_Pay_Fee");
				while (rs.next()) {
				//边查询变插入
					s1.addBatch(
							"insert into tb_His2_Ask_Pay_Fee(nSerialNo,vcBusiFlowNo,vcBusiTypeID,vcBusiNumber,vcUserName,vcUserAddress,vcUserLinkTel,nPayFee,vcBusiMonth,vcComments,dOperDate,vcOperID,vcDealerID,vcAreaCode,vcDealerGradeID) values('"
									+ rs.getString("nSerialNo") + "','" + rs.getString("vcBusiFlowNo") + "','"
									+ rs.getString("vcBusiTypeID") + "','" + rs.getString("vcBusiNumber") + "','"
									+ rs.getString("vcUserName") + "','" + rs.getString("vcUserAddress") + "','"
									+ rs.getString("vcUserLinkTel") + "','" + rs.getString("nPayFee") + "','"
									+ rs.getString("vcBusiMonth") + "','" + rs.getString("vcComments") + "','"
									+ rs.getString("dOperDate") + "','" + rs.getString("vcOperID") + "','"
									+ rs.getString("vcDealerID") + "','" + rs.getString("vcAreaCode") + "','"
									+ rs.getString("vcDealerGradeID") + "')");
					// 10000取整后剩余的小数据量就顺序插入
					if (count > num) {
						//批量执行
						s1.executeBatch();
						//提交事务
						cn1.commit();  
					     //清空
						s1.clearBatch();  
					} else {
						// 数据够批次的就按批量插入
						if (count % onerun == 0) {
							// 10000条一批插入
							s1.executeBatch();
							cn1.commit();
							s1.clearBatch();
						}
					}
					count++;
				}
			}
		} catch (Exception e) {
			e.printStackTrace();
		} finally {
			rs.close();
			s2.close();
			s1.close();
			cn2.close();
			cn1.close();
		}
		endTime = System.currentTimeMillis();
		System.out.println("成功移植数据：" + (count - 1) + "条，耗时" + (endTime - startTime) / 1000 + "秒");
	}