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jdbc--取大量数据

2024-08-13 08:25:15   209人阅读

最近使用jdbc方式查询数据，保存为csv文件中。当然你可以在pl/sql中直接查出来，copy to excel就好了。但我想通过程序实现

 1 @Test 2     public void test() throws IOException { 3         BufferedReader reader=new BufferedReader(new InputStreamReader(new FileInputStream("C:\\Users\\yhzh\\Desktop\\zh_20160913"))); 4         String tmp=null; 5         List<String> nos=new ArrayList<String>(); 6         while((tmp=reader.readLine()) !=null) 7             nos.add(tmp); 8  9         Connection con = null;// 创建一个数据库连接10         PreparedStatement pre = null;// 创建预编译语句对象，一般都是用这个而不用Statement11         PreparedStatement pre2 = null;12         ResultSet result = null;// 创建一个结果集对象13         BufferedWriter csvWriter=null;14         try15         {16             String tag=(new SimpleDateFormat("hhmmss")).format(new Date());17             csvWriter = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(new File("C:\\Users\\yhzh\\Desktop\\贷后还款计划_"+tag+".csv")), "utf-8"));18 19             Class.forName("oracle.jdbc.driver.OracleDriver");20             //:6006/hotfix21             String url = "jdbc:oracle:thin:@//*.*.*.*:16030/zcgl",user = "*",password = "*";22             con = DriverManager.getConnection(url, user, password);// 获取连接23             String sql="select max(lr_id) from t_loan_request where LR_REQUESTSTATUS =‘2‘ and lr_applyid=?";24             /*String sql = 27                     "select req.LR_APPLYID,CURR_PERIODS,REPAY_DAY,\n" +28                     "(NEEDREPAY_PRINCIPAL+NEEDREPAY_INTEREST+NEEDREPAY_ADMIFEE+nvl(RISK_AMOUNT,0)+nvl(SERVICEFEE,0)+nvl(PARKINGFEE,0))NEEDREPAY_TOTAL,\n" +29                     "PERIOD_REPAY_AMOUNT \n" +30                     "from(\n" +31                     "  select lr_id,LR_APPLYID from t_loan_request t \n" +32                     "  where t.LR_REQUESTSTATUS =‘2‘ and t.creater=‘PostLoanOuterAction‘\n" +33                     "  order by lr_id desc)req\n" +34                     "left join t_repay_plan rp\n" +35                     "on req.lr_id=rp.lr_id\n" +36                     "order by req.lr_id,CURR_PERIODS ";// 预编译语句，“？”代表参数*/37             pre = con.prepareStatement(sql);38             pre2=con.prepareStatement("select CURR_PERIODS,REPAY_DAY,\n" +39                     "(NEEDREPAY_PRINCIPAL+NEEDREPAY_INTEREST+NEEDREPAY_ADMIFEE+nvl(RISK_AMOUNT,0)+nvl(SERVICEFEE,0)+nvl(PARKINGFEE,0))NEEDREPAY_TOTAL,\n" +40                     "PERIOD_REPAY_AMOUNT \n" +41                     "from t_repay_plan\n" +42                     "where lr_id=? " +43                     "order by CURR_PERIODS");44             for(String no:nos){45                 pre.setString(1,no);46                 result = pre.executeQuery();47                 if(result.next()) {48                     long lrId=result.getLong(1);49                     pre2.setLong(1,lrId);50                     result = pre2.executeQuery();51                     while (result.next()) {52                         csvWriter.write(no);53                         csvWriter.write(",");54                         csvWriter.write(result.getString(1));55                         csvWriter.write(",");56                         csvWriter.write(result.getString(2));57                         csvWriter.write(",");58                         csvWriter.write(result.getString(3));59                         csvWriter.write(",");60                         csvWriter.write(result.getString(4));61                         csvWriter.newLine();62                     }63                 }64             }65 66             csvWriter.flush();67         }68         catch (Exception e)69         {70             e.printStackTrace();71         }72         finally73         {74             try75             {76                 if(csvWriter !=null)77                     csvWriter.close();78                 if (result != null)79                     result.close();80                 if (pre != null)81                     pre.close();82                 if (con != null)83                     con.close();84                 System.out.println("数据库连接已关闭！");85             }86             catch (Exception e)87             {88                 e.printStackTrace();89             }90         }91     }

先读取所有编号形成List，后遍历这个List，先查出id再查详细数据。这样的数据csv文件中大约8万多条

一条条的来肯定慢，如果不按照编号，直接一次查出，数据是9万多条。速度都很慢！！！

后来想提高下，至少要有个明显的提升呀。写文件这块基本排除了，剩下的疑问就是ResultSet是否拿到了所有结果呢？

根据网上查到的资料和实际调试，得出答案：ResultSet默认一次取10条数据，怪不得要慢，如果一次全部读入内存再写入文件就一定很快了。

怎样一次读取所有数据呢？

sql改为读取全部

 1 String sql="select req.LR_APPLYID,CURR_PERIODS,REPAY_DAY,\n" + 2     "(NEEDREPAY_PRINCIPAL+NEEDREPAY_INTEREST+NEEDREPAY_ADMIFEE+nvl(RISK_AMOUNT,0)+nvl(SERVICEFEE,0)+nvl(PARKINGFEE,0))NEEDREPAY_TOTAL,\n" + 3     "PERIOD_REPAY_AMOUNT \n" + 4     "from(\n" + 5     "  select lr_id,LR_APPLYID from t_loan_request t \n" + 6     "  where t.LR_REQUESTSTATUS =‘2‘ and t.creater=‘PostLoanOuterAction‘\n" + 7     "  order by lr_id desc)req\n" + 8     "left join t_repay_plan rp\n" + 9     "on req.lr_id=rp.lr_id\n" +10     "order by req.lr_id,CURR_PERIODS";

 

设置PreparedStatement：

1 pre = con.prepareStatement(sql);2 pre.setFetchSize(100000);3 result = pre.executeQuery();4 //result.setFetchSize(100000);

主要是PreparedStatement的 setFetchSize 方法，

后来发现ResultSet也有个setFetchSize 方法，也是可行的，只是这个时候resultset中已经有了10条记录直到循环10次后，再次使用result.next()才去取100000，fetchSize才起作用

这样设置后速度飞快！！！

 

jdbc--取大量数据


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