from [url]http://www.beyondrails.com/blogs/42[/url]
遵守以下准则:
[b]1,查询条件的左边应该是简单的column名,右边则应该是很容易查询的值[/b]
所有的DBMS都会把5 = column1转换为column1 = 5
[b]2,查询条件的每个组件都有一个point count,查询速度越快,花的时间越少,points越高[/b]
[code]
操作符、操作数 points
= 10
> 5
>= 5
< 5
<= 5
LIKE 3
<> 0
Literal alone 10
Column alone 5
Parameter alone 5
Multioperand expression 3
Exact numeric data type 2
Other numeric data type 1
Temporal data type 1
Character data type 0
NULL 0
[/code]
例子
[code]
... WHERE smallint_column = 12345
[/code]
points为27:
1,Column alone(smallint_column) = 5
2,Exact numeric data type(smallint_column) = 2
3,等号 = 10
4,Literal alone(12345) = 10
[b]3,对于多个表达式条件通过优化顺序来提高速度[/b]
优化前:
[code]
SELECT * FROM Table1
WHERE column4 < 117
AND column4 > column5
AND column3 = 'Smith'
AND column1 = 5
AND column2 = 77.3
[/code]
优化后:
[code]
SELECT * FROM Table1
WHERE column1 = 5
AND column2 = 77.3
AND column3 = 'Smith'
AND column4 < 117
AND column4 > column5
[/code]
[b]4,利用Law of Transitivity和Constant propagation的概念,使用字面量来替换column名和column表达式而不改变表达式的含义来提高速度[/b]
优化前:
[code]
SELECT * FROM Table1
WHERE column1 = 5 AND
NOT (column3 = 7 OR column1 = column2)
[/code]
优化后:
[code]
SELECT * FROM Table1
WHERE column1 = 5
AND column3 <> 7
AND column2 <> 5
[/code]
[b]5,删除那些永远不会执行的代码[/b]
[code]
SELECT * FROM Table1
WHERE 0 = 1
AND column1 = 'I hope we never execute this'
[/code]
[b]6,有些DBMS不会对大部分obvious-looking表达式做“折叠”,记住一点“更改代码之前先理解它的含义”[/b]
[code]
... WHERE column1 + 0
... WHERE 5 + 0.0
... WHERE column1 IN (1, 3, 3)
... CAST(1 AS INTEGER)
... WHERE 'a' || 'b'
[/code]
[b]7,如果代码包括一些显然的算术表达式,则用计算后的值来替换。[/b]
优化前:
[code]
... WHERE a - 3 = 5
[/code]
优化后:
[code]
... WHERE a = 8
[/code]
[b]8,尽量避免在column里引入function[/b]
优化前:
[code]
SELECT * FROM Table1
WHERE date_column = CURRENT_DATE
AND amount * 5 > 100.00
[/code]
优化后:
[code]
SELECT * FROM Table1
WHERE date_column = DATE '2002-01-01'
AND amount * 5 > 100.00
[/code]
[b]9,不要使用UPPER来做大小写不敏感的匹配,使用LOWER[/b]
优化前:
[code]
... WHERE UPPER(column1) = 'résumé'
[/code]
优化后:
[code]
... WHERE LOWER(column1) = 'résumé'
[/code]
遵守以下准则:
[b]1,查询条件的左边应该是简单的column名,右边则应该是很容易查询的值[/b]
所有的DBMS都会把5 = column1转换为column1 = 5
[b]2,查询条件的每个组件都有一个point count,查询速度越快,花的时间越少,points越高[/b]
[code]
操作符、操作数 points
= 10
> 5
>= 5
< 5
<= 5
LIKE 3
<> 0
Literal alone 10
Column alone 5
Parameter alone 5
Multioperand expression 3
Exact numeric data type 2
Other numeric data type 1
Temporal data type 1
Character data type 0
NULL 0
[/code]
例子
[code]
... WHERE smallint_column = 12345
[/code]
points为27:
1,Column alone(smallint_column) = 5
2,Exact numeric data type(smallint_column) = 2
3,等号 = 10
4,Literal alone(12345) = 10
[b]3,对于多个表达式条件通过优化顺序来提高速度[/b]
优化前:
[code]
SELECT * FROM Table1
WHERE column4 < 117
AND column4 > column5
AND column3 = 'Smith'
AND column1 = 5
AND column2 = 77.3
[/code]
优化后:
[code]
SELECT * FROM Table1
WHERE column1 = 5
AND column2 = 77.3
AND column3 = 'Smith'
AND column4 < 117
AND column4 > column5
[/code]
[b]4,利用Law of Transitivity和Constant propagation的概念,使用字面量来替换column名和column表达式而不改变表达式的含义来提高速度[/b]
优化前:
[code]
SELECT * FROM Table1
WHERE column1 = 5 AND
NOT (column3 = 7 OR column1 = column2)
[/code]
优化后:
[code]
SELECT * FROM Table1
WHERE column1 = 5
AND column3 <> 7
AND column2 <> 5
[/code]
[b]5,删除那些永远不会执行的代码[/b]
[code]
SELECT * FROM Table1
WHERE 0 = 1
AND column1 = 'I hope we never execute this'
[/code]
[b]6,有些DBMS不会对大部分obvious-looking表达式做“折叠”,记住一点“更改代码之前先理解它的含义”[/b]
[code]
... WHERE column1 + 0
... WHERE 5 + 0.0
... WHERE column1 IN (1, 3, 3)
... CAST(1 AS INTEGER)
... WHERE 'a' || 'b'
[/code]
[b]7,如果代码包括一些显然的算术表达式,则用计算后的值来替换。[/b]
优化前:
[code]
... WHERE a - 3 = 5
[/code]
优化后:
[code]
... WHERE a = 8
[/code]
[b]8,尽量避免在column里引入function[/b]
优化前:
[code]
SELECT * FROM Table1
WHERE date_column = CURRENT_DATE
AND amount * 5 > 100.00
[/code]
优化后:
[code]
SELECT * FROM Table1
WHERE date_column = DATE '2002-01-01'
AND amount * 5 > 100.00
[/code]
[b]9,不要使用UPPER来做大小写不敏感的匹配,使用LOWER[/b]
优化前:
[code]
... WHERE UPPER(column1) = 'résumé'
[/code]
优化后:
[code]
... WHERE LOWER(column1) = 'résumé'
[/code]