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:
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3
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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;
|
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:
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7
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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;
|
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;
|
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;
|
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:
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8
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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)
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2
3
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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。