(1)すべてのフィールドをクエリする
(2)指定したフィールドをクエリする
(3)指定したレコードをクエリする
(4)キーワード内でクエリを実行する
(5)と の間の範囲を指定してクエリを実行する
(6) like を使用した文字一致クエリ
(7) NULL 値のクエリ
(8) and を使用した複数条件クエリ
(9) or を使用した複数条件クエリ
(10) クエリ結果は繰り返されません
(11) クエリ結果の並べ替え
(12) グループ クエリ
(13) クエリ結果の数を制限するには、limit を使用します
(無料学習に関する推奨事項: mysql ビデオ チュートリアル)
(1) すべてのフィールドをクエリする1.select * from Fruits 2.
select f_id,s_id,f_name,f_price from Fruits;
mysql> select * from fruits;+------+------+------------+---------+| f_id | s_id | f_name | f_price |+------+------+------------+---------+| 12 | 104 | lemon | 6.40 || a1 | 101 | apple | 5.20 || a2 | 103 | apricot | 2.20 || b1 | 101 | blackberry | 10.20 || b2 | 104 | berry | 7.60 || b5 | 107 | xxxx | 3.60 || bs1 | 102 | orange | 11.20 || bs2 | 105 | melon | 8.20 || c0 | 101 | cherry | 3.20 || m1 | 106 | mango | 15.70 || m2 | 105 | xbabay | 2.60 || m3 | 105 | xxtt | 11.60 || o2 | 103 | coconut | 9.20 || t1 | 102 | banana | 10.30 || t2 | 102 | grape | 5.30 || t4 | 107 | xbabay | 3.60 |+------+------+------------+---------+16 rows in set (0.00 sec)
テーブル名から列名を選択;
mysql> select f_name from fruits;+------------+| f_name |+------------+| lemon || apple || apricot || blackberry || berry || xxxx || orange || melon || cherry || mango || xbabay || xxtt || coconut || banana || grape || xbabay |+------------+16 rows in set (0.00 sec)
select フィールド名 1, フィールド名 2,...field name n from table name; [例] 果物テーブルから f_name と f_price という 2 つの列を取得する SQL 文は次のとおりです:
mysql> select f_name,f_price from fruits;+------------+---------+| f_name | f_price |+------------+---------+| lemon | 6.40 || apple | 5.20 || apricot | 2.20 || blackberry | 10.20 || berry | 7.60 || xxxx | 3.60 || orange | 11.20 || melon | 8.20 || cherry | 3.20 || mango | 15.70 || xbabay | 2.60 || xxtt | 11.60 || coconut | 9.20 || banana | 10.30 || grape | 5.30 || xbabay | 3.60 |+------------+---------+16 rows in set (0.00 sec)
select 字段名1,字段名2,。。。,字段名n from 表名 where 查询条件
mysql> select f_name,f_price -> from fruits -> where f_price = 10.2;+------------+---------+| f_name | f_price |+------------+---------+| blackberry | 10.20 |+------------+---------+1 row in set (0.00 sec)
mysql> select f_name,f_price -> from fruits -> where f_name = 'apple';+--------+---------+| f_name | f_price |+--------+---------+| apple | 5.20 |+--------+---------+1 row in set (0.00 sec)
mysql> select f_name,f_price -> from fruits -> where f_price<10.00;+---------+---------+| f_name | f_price |+---------+---------+| lemon | 6.40 || apple | 5.20 || apricot | 2.20 || berry | 7.60 || xxxx | 3.60 || melon | 8.20 || cherry | 3.20 || xbabay | 2.60 || coconut | 9.20 || grape | 5.30 || xbabay | 3.60 |+---------+---------+11 rows in set (0.00 sec)
mysql> select s_id,f_name,f_price -> from fruits -> where s_id in(101,102) -> order by f_name;+------+------------+---------+| s_id | f_name | f_price |+------+------------+---------+| 101 | apple | 5.20 || 102 | banana | 10.30 || 101 | blackberry | 10.20 || 101 | cherry | 3.20 || 102 | grape | 5.30 || 102 | orange | 11.20 |+------+------------+---------+6 rows in set (0.00 sec)
mysql> select s_id,f_name,f_price -> from fruits -> where s_id not in (101,102) -> order by f_name;+------+---------+---------+| s_id | f_name | f_price |+------+---------+---------+| 103 | apricot | 2.20 || 104 | berry | 7.60 || 103 | coconut | 9.20 || 104 | lemon | 6.40 || 106 | mango | 15.70 || 105 | melon | 8.20 || 105 | xbabay | 2.60 || 107 | xbabay | 3.60 || 105 | xxtt | 11.60 || 107 | xxxx | 3.60 |+------+---------+---------+10 rows in set (0.00 sec)
mysql> select f_name,f_price from fruits where f_price between 2.00 and 10.20;+------------+---------+| f_name | f_price |+------------+---------+| lemon | 6.40 || apple | 5.20 || apricot | 2.20 || blackberry | 10.20 || berry | 7.60 || xxxx | 3.60 || melon | 8.20 || cherry | 3.20 || xbabay | 2.60 || coconut | 9.20 || grape | 5.30 || xbabay | 3.60 |+------------+---------+12 rows in set (0.00 sec)
mysql> select f_name,f_price -> from fruits -> where f_price not between 2.00 and 10.20;+--------+---------+| f_name | f_price |+--------+---------+| orange | 11.20 || mango | 15.70 || xxtt | 11.60 || banana | 10.30 |+--------+---------+4 rows in set (0.00 sec)
[例 2] 果物テーブルで、文字「g」を含むレコードをクエリします。 in f_name, SQL ステートメントは次のとおりです。
mysql> select f_id,f_name -> from fruits -> where f_name like 'b%';+------+------------+| f_id | f_name |+------+------------+| b1 | blackberry || b2 | berry || t1 | banana |+------+------------+3 rows in set (0.00 sec)
mysql> select f_id,f_name -> from fruits -> where f_name like '%g%';+------+--------+| f_id | f_name |+------+--------+| bs1 | orange || m1 | mango || t2 | grape |+------+--------+3 rows in set (0.00 sec)
mysql> select f_id,f_name -> from fruits -> where f_name like 'b%y';+------+------------+| f_id | f_name |+------+------------+| b1 | blackberry || b2 | berry |+------+------------+2 rows in set (0.00 sec)
mysql> select f_id,f_name -> from fruits -> where f_name like '____y';+------+--------+| f_id | f_name |+------+--------+| b2 | berry |+------+--------+1 row in set (0.00 sec)
create table customers( c_id int not null auto_increment, c_name char(50) not null, c_address char(50) null, c_city char(50) null, c_zip char(10) null, c_contact char(50) null, c_email char(255) null, primary key (c_id) );
mysql> insert into customers(c_id,c_name,c_address,c_city,c_zip,c_contact,c_email) -> values -> (10001,'redhool','200 Street ','Tianjin','300000','LiMing','LMing@163.com'), -> (10002,'Stars','333 Fromage Lane','Dalian','116000','Zhangbo','Jerry@hotmail.com'), -> (10003,'Netbhood','1 Sunny Place','Qingdao','266000','LuoCong',null), -> (10004,'JOTO','829 Riverside Drive','Haikou','570000','YangShan','sam@hotmail.com');Query OK, 4 rows affected (0.06 sec)Records: 4 Duplicates: 0 Warnings: 0
mysql> select c_id,c_name,c_email from customers where c_email is null;+-------+----------+---------+| c_id | c_name | c_email |+-------+----------+---------+| 10003 | Netbhood | NULL |+-------+----------+---------+1 row in set (0.00 sec)
#[例 1] s_id=101 と果物の価格と名前をクエリします。果物テーブルの f_price が 5 より大きい SQL ステートメントは次のとおりです:
mysql> select c_id,c_name,c_email -> from customers -> where c_email is not null;+-------+---------+-------------------+| c_id | c_name | c_email |+-------+---------+-------------------+| 10001 | redhool | LMing@163.com || 10002 | Stars | Jerry@hotmail.com || 10004 | JOTO | sam@hotmail.com |+-------+---------+-------------------+3 rows in set (0.00 sec)
mysql> select f_id,f_price,f_name -> from fruits -> where s_id = '101' and f_price>=5; +------+---------+------------+ | f_id | f_price | f_name | +------+---------+------------+ | a1 | 5.20 | apple | | b1 | 10.20 | blackberry | +------+---------+------------+ 2 rows in set (0.00 sec)
(9) with Multi-condition query for or
[例 1] 果物のサプライヤーの f_price と f_name をクエリします
mysql> select f_id ,f_price , f_name -> from fruits -> where s_id in ('101','102') and f_price >=5 and f_name = 'apple';+------+---------+--------+| f_id | f_price | f_name |+------+---------+--------+| a1 | 5.20 | apple |+------+---------+--------+1 row in set (0.05 sec)
mysql> select s_id,f_name,f_price -> from fruits -> where s_id=101 or s_id=102;+------+------------+---------+| s_id | f_name | f_price |+------+------------+---------+| 101 | apple | 5.20 || 101 | blackberry | 10.20 || 102 | orange | 11.20 || 101 | cherry | 3.20 || 102 | banana | 10.30 || 102 | grape | 5.30 |+------+------------+---------+6 rows in set (0.00 sec)
or は and と一緒に使用できますが、and の優先順位は or よりも高いため、2 つの優先順位に注意してください。と が最初に演算され、次に or のオペランドと結合されます。
[例] 果物テーブルの s_id フィールドの値をクエリし、s_id フィールドの値を返します。これを繰り返すことはできません。SQL ステートメントは次のとおりです;
mysql> select s_id,f_name,f_price -> from fruits -> where s_id in(101,102);+------+------------+---------+| s_id | f_name | f_price |+------+------------+---------+| 101 | apple | 5.20 || 101 | blackberry | 10.20 || 102 | orange | 11.20 || 101 | cherry | 3.20 || 102 | banana | 10.30 || 102 | grape | 5.30 |+------+------------+---------+6 rows in set (0.00 sec
1.単一列ソート
order by##[例] 果物テーブルの f_name フィールドの値をクエリしてソートする SQL 文は次のとおりです。mysql> select distinct s_id from fruits;+------+| s_id |+------+| 104 || 101 || 103 || 107 || 102 || 105 || 106 |+------+7 rows in set (0.05 sec)
2. 複数列の並べ替え<ul><li>多列排序首先排序的第一列必须有相同的列值,才会对第二列进行排序。如果第一列数据中所有值都是唯一的,将不再对第二列进行排序。</li></ul>
<p>【例】查询fruits表中的f_name和f_price字段,先按f_name排序,再按f_price排序,SQL语句如下:</p>
<div class="code" style="position:relative; padding:0px; margin:0px;"><pre class="brush:php;toolbar:false">mysql> select f_name,f_price -> from fruits -> order by f_name, f_price;+------------+---------+| f_name | f_price |+------------+---------+| apple | 5.20 || apricot | 2.20 || banana | 10.30 || berry | 7.60 || blackberry | 10.20 || cherry | 3.20 || coconut | 9.20 || grape | 5.30 || lemon | 6.40 || mango | 15.70 || melon | 8.20 || orange | 11.20 || xbabay | 2.60 || xbabay | 3.60 || xxtt | 11.60 || xxxx | 3.60 |+------------+---------+16 rows in set (0.00 sec)</pre><div class="contentsignin">ログイン後にコピー</div></div>
<p>3.指定排序方向<code>desc
【例1】查询fruits表中的f_name和f_price字段,对结果按f_price降序方式排序,SQL语句如下:
mysql> select f_name,f_price -> from fruits -> order by f_price desc;+------------+---------+| f_name | f_price |+------------+---------+| mango | 15.70 || xxtt | 11.60 || orange | 11.20 || banana | 10.30 || blackberry | 10.20 || coconut | 9.20 || melon | 8.20 || berry | 7.60 || lemon | 6.40 || grape | 5.30 || apple | 5.20 || xxxx | 3.60 || xbabay | 3.60 || cherry | 3.20 || xbabay | 2.60 || apricot | 2.20 |+------------+---------+16 rows in set (0.00 sec)
【例2】查询fruits表,先按f_price降序排序,再按f_name字段升序排序,SQL语句如下:
mysql> select f_price,f_name -> from fruits -> order by f_price desc,f_name;+---------+------------+| f_price | f_name |+---------+------------+| 15.70 | mango || 11.60 | xxtt || 11.20 | orange || 10.30 | banana || 10.20 | blackberry || 9.20 | coconut || 8.20 | melon || 7.60 | berry || 6.40 | lemon || 5.30 | grape || 5.20 | apple || 3.60 | xbabay || 3.60 | xxxx || 3.20 | cherry || 2.60 | xbabay || 2.20 | apricot |+---------+------------+16 rows in set (0.00 sec)
[group by 字段][having<条件表达式>]
1.创建分组
【例1】根据s_id对fruits表中的数据进行分组,SQL语句如下;
mysql> select s_id,count(*) as total -> from fruits -> group by s_id;+------+-------+| s_id | total |+------+-------+| 104 | 2 || 101 | 3 || 103 | 2 || 107 | 2 || 102 | 3 || 105 | 3 || 106 | 1 |+------+-------+7 rows in set (0.05 sec)
可以看到group by 子句按照s_id排序并对数据分组。
【例2】根据s_id对fruits表中的数据进行分组,将每个供应商的水果名称显示出来,SQL语句如下:
mysql> select s_id,group_concat(f_name) as Names -> from fruits -> group by s_id;+------+-------------------------+| s_id | Names |+------+-------------------------+| 101 | apple,blackberry,cherry || 102 | orange,banana,grape || 103 | apricot,coconut || 104 | lemon,berry || 105 | melon,xbabay,xxtt || 106 | mango || 107 | xxxx,xbabay |+------+-------------------------+7 rows in set (0.05 sec)
2.使用having过滤分组
【例】根据s_id对fruits表中的数据进行分组,并显示水果种类大于1的分组信息,SQL语句如下:
mysql> select s_id,group_concat(f_name) as Names -> from fruits -> group by s_id having count(f_name) >1;+------+-------------------------+| s_id | Names |+------+-------------------------+| 101 | apple,blackberry,cherry || 102 | orange,banana,grape || 103 | apricot,coconut || 104 | lemon,berry || 105 | melon,xbabay,xxtt || 107 | xxxx,xbabay |+------+-------------------------+6 rows in set (0.00 sec)
3.在group by 子句中使用with rollup
【例】根据s_id对fruits表中的数据进行分组,并显示记录数量,SQL语句如下:
mysql> select s_id,count(*) as Total -> from fruits -> group by s_id with rollup;+------+-------+| s_id | Total |+------+-------+| 101 | 3 || 102 | 3 || 103 | 2 || 104 | 2 || 105 | 3 || 106 | 1 || 107 | 2 || NULL | 16 |+------+-------+8 rows in set (0.05 sec)
4.多字段分组
【例】根据s_id和f_name字段对fruits表中的数据进行分组,SQL语句如下:
mysql> select * from fruits group by s_id,f_name;+------+------+------------+---------+| f_id | s_id | f_name | f_price |+------+------+------------+---------+| 12 | 104 | lemon | 6.40 || a1 | 101 | apple | 5.20 || a2 | 103 | apricot | 2.20 || b1 | 101 | blackberry | 10.20 || b2 | 104 | berry | 7.60 || b5 | 107 | xxxx | 3.60 || bs1 | 102 | orange | 11.20 || bs2 | 105 | melon | 8.20 || c0 | 101 | cherry | 3.20 || m1 | 106 | mango | 15.70 || m2 | 105 | xbabay | 2.60 || m3 | 105 | xxtt | 11.60 || o2 | 103 | coconut | 9.20 || t1 | 102 | banana | 10.30 || t2 | 102 | grape | 5.30 || t4 | 107 | xbabay | 3.60 |+------+------+------------+---------+16 rows in set (0.00 sec)
5.group by 和order by一起使用
创建数据表演示:
mysql> create table orderitems -> ( -> o_num int not null, -> o_item int not null, -> f_id char(10) not null, -> quantity int not null, -> item_price decimal(8,2) not null, -> primary key (o_num,o_item) -> );Query OK, 0 rows affected (0.13 sec)mysql> insert into orderitems(o_num,o_item,f_id,quantity,item_price) -> values(30001,1,'a1',10,5.2), -> (30001,2,'b2',3,7.6), -> (30001,3,'bs1',5,11.2), -> (30001,4,'bs2',15,9.2), -> (30002,1,'b3',2,20.0), -> (30003,1,'c0',100,10), -> (30004,1,'o2',50,2.50), -> (30005,1,'c0',5,10), -> (30005,2,'b1',10,8.99), -> (30005,3,'a2',10,2.2), -> (30005,4,'m1',5,14.99);Query OK, 11 rows affected (0.06 sec)Records: 11 Duplicates: 0 Warnings: 0
【例】查询订单价格大于100的订单号和总订单价格,SQL语句如下;
mysql> select o_num,sum(quantity * item_price) as orderTotal -> from orderitems -> group by o_num -> having sum(quantity * item_price) >=100;+-------+------------+| o_num | orderTotal |+-------+------------+| 30001 | 268.80 || 30003 | 1000.00 || 30004 | 125.00 || 30005 | 236.85 |+-------+------------+4 rows in set (0.00 sec)
可以看到orderTotal列的总订单价格并没有按照一定的顺序显示,接下来使用order by关键字按总订单价格排列显示结果,SQL语句如下:
mysql> select o_num,sum(quantity * item_price) as orderTotal -> from orderitems -> group by o_num -> having sum(quantity * item_price)>=100 -> order by orderTotal;+-------+------------+| o_num | orderTotal |+-------+------------+| 30004 | 125.00 || 30005 | 236.85 || 30001 | 268.80 || 30003 | 1000.00 |+-------+------------+4 rows in set (0.00 sec)
可以看到,group by 子句按订单号对数据进行分组,sum()函数便可以返回总的订单价格,having子句对分组数据进行过滤,使得只返回总价格大于100的订单,最后使用order by子句排序输出。
select返回所有匹配的行,有可能是表中所有的行,如仅仅需要返回第一行或者前几行,使用limit关键字,基本语法如下:
limit [位置偏移量,] 行数
【例1】显示fruits表查询结果的前4行,SQL语句如下:
mysql> select * from fruits limit 4;+------+------+------------+---------+| f_id | s_id | f_name | f_price |+------+------+------------+---------+| 12 | 104 | lemon | 6.40 || a1 | 101 | apple | 5.20 || a2 | 103 | apricot | 2.20 || b1 | 101 | blackberry | 10.20 |+------+------+------------+---------+4 rows in set (0.00 sec)
【例2】在fruits表中,使用limit子句,返回从第5个记录开始的、行数长度为3的记录,SQL语句如下:
mysql> select * from fruits limit 4,3;+------+------+--------+---------+| f_id | s_id | f_name | f_price |+------+------+--------+---------+| b2 | 104 | berry | 7.60 || b5 | 107 | xxxx | 3.60 || bs1 | 102 | orange | 11.20 |+------+------+--------+---------+3 rows in set (0.00 sec)
也可以使用"limit 4 offset 3
"也是获取从第5条记录开始后面的3条记录。
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