• jdbc 块提取方式


    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

    复制代码
     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Statement
    11         PreparedStatement pre2 = null;
    12         ResultSet result = null;// 创建一个结果集对象
    13         BufferedWriter csvWriter=null;
    14         try
    15         {
    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/hotfix
    21             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,
    " +
    28                     "(NEEDREPAY_PRINCIPAL+NEEDREPAY_INTEREST+NEEDREPAY_ADMIFEE+nvl(RISK_AMOUNT,0)+nvl(SERVICEFEE,0)+nvl(PARKINGFEE,0))NEEDREPAY_TOTAL,
    " +
    29                     "PERIOD_REPAY_AMOUNT 
    " +
    30                     "from(
    " +
    31                     "  select lr_id,LR_APPLYID from t_loan_request t 
    " +
    32                     "  where t.LR_REQUESTSTATUS ='2' and t.creater='PostLoanOuterAction'
    " +
    33                     "  order by lr_id desc)req
    " +
    34                     "left join t_repay_plan rp
    " +
    35                     "on req.lr_id=rp.lr_id
    " +
    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,
    " +
    39                     "(NEEDREPAY_PRINCIPAL+NEEDREPAY_INTEREST+NEEDREPAY_ADMIFEE+nvl(RISK_AMOUNT,0)+nvl(SERVICEFEE,0)+nvl(PARKINGFEE,0))NEEDREPAY_TOTAL,
    " +
    40                     "PERIOD_REPAY_AMOUNT 
    " +
    41                     "from t_repay_plan
    " +
    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         finally
    73         {
    74             try
    75             {
    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     }
    复制代码

    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

    复制代码
     1 String sql="select req.LR_APPLYID,CURR_PERIODS,REPAY_DAY,
    " +
     2     "(NEEDREPAY_PRINCIPAL+NEEDREPAY_INTEREST+NEEDREPAY_ADMIFEE+nvl(RISK_AMOUNT,0)+nvl(SERVICEFEE,0)+nvl(PARKINGFEE,0))NEEDREPAY_TOTAL,
    " +
     3     "PERIOD_REPAY_AMOUNT 
    " +
     4     "from(
    " +
     5     "  select lr_id,LR_APPLYID from t_loan_request t 
    " +
     6     "  where t.LR_REQUESTSTATUS ='2' and t.creater='PostLoanOuterAction'
    " +
     7     "  order by lr_id desc)req
    " +
     8     "left join t_repay_plan rp
    " +
     9     "on req.lr_id=rp.lr_id
    " +
    10     "order by req.lr_id,CURR_PERIODS";
    复制代码

    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!!!

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  • 原文地址:https://www.cnblogs.com/firstdream/p/8621361.html
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