这篇文章主要介绍了Oracle实现分页查询的SQL语法,非常实用的功能,需要的朋友可以参考下
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：
1 2 3 4 5 6 7 | 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;
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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：
1 2 3 4 5 6 7 8 9 | 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;
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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：
1 2 3 4 5 6 7 8 | 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;
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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：
1 2 3 4 5 6 7 8 | 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;
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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：
1 2 3 4 5 6 7 8 | 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;
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6.另类语法 。(无ORDER BY写法）
1 2 3 4 5 6 7 | 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。
