NULL值的使用
RDSQL中字段缺省值為空;並且對數值型的0和空值,以及字符型的空白和空值區別對待。
數值表達式中某個變為空,則整個表達式值為空;
聚合函數中,對空值忽略不計,若全部為空值,除COUNT(*)返回0外,其余返回空值。
布爾表達式中,結果可能為“未知”(見下表)。如TRUE
AND NULL 結果為
“未知”,對“未知”結果在RDSQL中看作不符合查詢條件。
|
and
|
T
|
F
|
?
|
|
or
|
T
|
F
|
?
|
|
not
|
|
|
T
|
T
|
F
|
?
|
|
T
|
T
|
T
|
T
|
|
T
|
F
|
|
F
|
F
|
F
|
?
|
|
F
|
T
|
F
|
?
|
|
F
|
T
|
|
?
|
?
|
F
|
?
|
|
?
|
T
|
?
|
?
|
|
?
|
?
|
結合上表,分析下列子句
,其中n1=20;n2為空;n3=30。結果如右。
where n1*n2 <
1000 and n3 = 30; 結果:不符合查詢條件
where n1*n2 < 1000 or n3 = 30; 結果:符合查詢條件
ORDER BY子句中的空值,每一個空值為一組。
INSERT或UPDATE時,可使用關鍵字NULL/null表示空值。
字段是否可以為空,由CREATE TABLE語句中是否有NOT
NULL指定或由ALTER修改。
Q:select
count(*) from t1和select
count(c1) from t1是否一樣?
字符查找,主要使用LIKE和MATCHES。
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LIKE
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MATCHES
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意義
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|
%
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*
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匹配0或多個字符
|
|
-
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?
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匹配一個字符
|
|
\
|
\
|
轉義字符
|
|
無
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[]
|
選擇匹配
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例:matches
‘*Sp’;匹配以任何字符開始,以Sp結束的字段值
matches ‘?l*’;
匹配第一個字符任意,第二個字符為l,其余字符任意的字段值
matches ‘[A-N]*’;
匹配以A到N的字符開始,其余字符任意的字段值
matches ‘*[sS]*’;
匹配含有s或S的字段值,擴展以下可用case
insensitive查詢
like ‘%\%%’;
匹配含有%的字段值
用SQL語句求表一中的關name有多少不同的num,結果如表二。
表一:
表二:
id name num name
count1
1 AA 1 CC
2
2 AA 2 BB
2
3 AA 3 AA
3
4 AA 1
5 AA 2
6 BB 4
7 BB 5
8 BB 4
9 BB 5
10 CC 6
11 CC 6
12 CC 7
SQL語句如下:
create table t1
(
id smallint,
name char(10),
num smallint
);
insert into t1
values(1,'AA',1);
insert into t1 values(2,'AA',2);
insert into t1 values(3,'AA',3);
insert into t1 values(4,'AA',1);
insert into t1 values(5,'AA',2);
insert into t1 values(6,'BB',4);
insert into t1 values(7,'BB',5);
insert into t1 values(8,'BB',4);
insert into t1 values(9,'BB',5);
insert into t1 values(10,'CC',6);
insert into t1 values(11,'CC',6);
insert into t1 values(12,'CC',7);
A:select
name ,count(distinct num) from t1 group by name;
4)使用旋轉矩陣,將表一中關id在不同月份的費用,由縱向變為橫向。
其中表一對一個id某個月份的記錄數可能>1。表一:
id d1 fee費用(分)
1 2000-01-24 100
1 2000-04-24 100
2 2000-02-24 200
2 2000-06-24 200
3 2000-04-24 400
4 2000-04-24 400
5 2000-05-24 500
6 2000-06-24 600
7 2000-09-24 900
8 2000-11-24 1100
表二:
id 1月份費用
2月份費用
…… … … 12月份費用
1 100 0 0 100 0 0 0 0 0 0
0 0
2 0 200 0 0 0 200 0 0 0 0 0 0
3 0 0 0 400 0 0 0 0 0 0 0 0
4 0 0 0 400 0 0 0 0 0 0 0 0
5 0 0 0 0 500 0 0 0 0 0 0 0
6 0 0 0 0 0 600 0 0 0 0 0 0
7 0 0 0 0 0 0 0 0 900 0 0 0
8 0 0 0 0 0 0 0 0 0 0 1100 0
SQL語句:
create table t3
(
id smallint,
d1 datetime year to day,
fee int
);
insert into t3
values(1,"2000-01-24", 100);
insert into t3 values(1,"2000-04-24", 100);
insert into t3 values(2,"2000-02-24", 200);
insert into t3 values(2,"2000-06-24", 200);
insert into t3 values(3,"2000-04-24", 400);
insert into t3 values(4,"2000-04-24", 400);
insert into t3 values(5,"2000-05-24", 500);
insert into t3 values(6,"2000-06-24", 600);
insert into t3 values(7,"2000-09-24", 900);
insert into t3 values(8,"2000-11-24", 1100);
create table t4 旋轉矩陣
(
m_code smallint,
y1 smallint,
y2 smallint,
y3 smallint,
y4 smallint,
y5 smallint,
y6 smallint,
y7 smallint,
y8 smallint,
y9 smallint,
y10 smallint,
y11 smallint,
y12 smallint
);
insert into t4 values(1,
1,0,0,0,0,0,0,0,0,0,0,0);
insert into t4 values(2, 0,1,0,0,0,0,0,0,0,0,0,0);
insert into t4 values(3, 0,0,1,0,0,0,0,0,0,0,0,0);
insert into t4 values(4, 0,0,0,1,0,0,0,0,0,0,0,0);
insert into t4 values(5, 0,0,0,0,1,0,0,0,0,0,0,0);
insert into t4 values(6, 0,0,0,0,0,1,0,0,0,0,0,0);
insert into t4 values(7, 0,0,0,0,0,0,1,0,0,0,0,0);
insert into t4 values(8, 0,0,0,0,0,0,0,1,0,0,0,0);
insert into t4 values(9, 0,0,0,0,0,0,0,0,1,0,0,0);
insert into t4 values(10,0,0,0,0,0,0,0,0,0,1,0,0);
insert into t4 values(11,0,0,0,0,0,0,0,0,0,0,1,0);
insert into t4 values(12,0,0,0,0,0,0,0,0,0,0,0,1);
--方法一
select id,month(d1) month,sum(fee) fei from t3 group
by 1,2 into temp aa;
select id,
sum(y1*fei) y1,sum(y2*fei) y2,sum(y3*fei) y3,sum(y4*fei) y4,
sum(y5*fei) y5,sum(y6*fei) y6,sum(y7*fei) y7,sum(y8*fei) y8,
sum(y9*fei) y9,sum(y10*fei) y10,sum(y11*fei) y11,sum(y12*fei) y12
from aa, t4 where aa.month = t4.m_code
group by id order by id
--方法二
select id,
sum(y1*fee) y1,sum(y2*fee) y2,sum(y3*fee) y3,sum(y4*fee) y4,
sum(y5*fee) y5,sum(y6*fee) y6,sum(y7*fee) y7,sum(y8*fee) y8,
sum(y9*fee) y9,sum(y10*fee) y10,sum(y11*fee) y11,sum(y12*fee) y12
from t3, t4 where month(d1) = t4.m_code
group by id order by id
方法一和方法二的結果一樣,但有所區別:
方法一中是先對id某個月的錢進行累加,然進行旋轉;
方法二中在表一對一個id某個月份的記錄數可能>1的情況時,先對每條記錄進行旋轉,然在累加求和。
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