Oracle实现分页查询的SQL语法汇总

三叶草

本文实例汇总了Oracle实现分页查询的SQL语法，整理给大家供大家参考之用，详情如下：
1.无ORDER BY排序的写法。(效率最高)
经过测试，此方法成本最低，只嵌套一层，速度最快！即使查询的数据量再大，也几乎不受影响，速度依然！
sql语句如下：

SELECT *
 FROM (Select ROWNUM AS ROWNO, T.*
    from k_task T
   where Flight_date between to_date('20060501', 'yyyymmdd') and
    to_date('20060731', 'yyyymmdd')
    AND ROWNUM <= 20) TABLE_ALIAS
WHERE TABLE_ALIAS.ROWNO >= 10;

2.有ORDER BY排序的写法。(效率最高)
经过测试，此方法随着查询范围的扩大，速度也会越来越慢！
sql语句如下：

SELECT *
 FROM (SELECT TT.*, ROWNUM AS ROWNO
    FROM (Select t.*
      from k_task T
      where flight_date between to_date('20060501', 'yyyymmdd') and
       to_date('20060531', 'yyyymmdd')
      ORDER BY FACT_UP_TIME, flight_no) TT
   WHERE ROWNUM <= 20) TABLE_ALIAS
where TABLE_ALIAS.rowno >= 10;

3.无ORDER BY排序的写法。(建议使用方法1代替)

此方法随着查询数据量的扩张，速度会越来越慢！
sql语句如下：

SELECT *
 FROM (Select ROWNUM AS ROWNO, T.*
    from k_task T
   where Flight_date between to_date('20060501', 'yyyymmdd') and
    to_date('20060731', 'yyyymmdd')) TABLE_ALIAS
WHERE TABLE_ALIAS.ROWNO <= 20
  AND TABLE_ALIAS.ROWNO >= 10;
TABLE_ALIAS.ROWNO between 10 and 100;

4.有ORDER BY排序的写法.(建议使用方法2代替)
此方法随着查询范围的扩大，速度也会越来越慢！
sql语句如下：

SELECT *
 FROM (SELECT TT.*, ROWNUM AS ROWNO
    FROM (Select *
      from k_task T
      where flight_date between to_date('20060501', 'yyyymmdd') and
       to_date('20060531', 'yyyymmdd')
      ORDER BY FACT_UP_TIME, flight_no) TT) TABLE_ALIAS
where TABLE_ALIAS.rowno BETWEEN 10 AND 20;

5.另类语法。(有ORDER BY写法）
该语法风格与传统的SQL语法不同，不方便阅读与理解，为规范与统一标准，不推荐使用。此处贴出代码供大家参考之用。
sql语句如下：

With partdata as(
 SELECT ROWNUM AS ROWNO, TT.* FROM (Select *
     from k_task T
     where flight_date between to_date('20060501', 'yyyymmdd') and
      to_date('20060531', 'yyyymmdd')
     ORDER BY FACT_UP_TIME, flight_no) TT
  WHERE ROWNUM <= 20)
  Select * from partdata where rowno >= 10;

6.另类语法 。(无ORDER BY写法）

With partdata as(
 Select ROWNUM AS ROWNO, T.*
  From K_task T
  where Flight_date between to_date('20060501', 'yyyymmdd') and
   To_date('20060531', 'yyyymmdd')
   AND ROWNUM <= 20)
  Select * from partdata where Rowno >= 10;

相信本文所述代码能够对大家有一定的参考借鉴价值。