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📜  Python MySQL-加入

📅  最后修改于: 2020-11-07 08:49:20             🧑  作者: Mango

将数据分为两个表后，可以使用联接从这两个表中获取组合记录。

例

假设我们创建了一个名为EMPLOYEE的表，并将数据填充到其中，如下所示-

mysql> CREATE TABLE EMPLOYEE(
   FIRST_NAME CHAR(20) NOT NULL,
   LAST_NAME CHAR(20),
   AGE INT,
   SEX CHAR(1),
   INCOME FLOAT,
   CONTACT INT
);
Query OK, 0 rows affected (0.36 sec)
INSERT INTO Employee VALUES ('Ramya', 'Rama Priya', 27, 'F', 9000, 101), 
   ('Vinay', 'Bhattacharya', 20, 'M', 6000, 102), 
   ('Sharukh', 'Sheik', 25, 'M', 8300, 103), 
   ('Sarmista', 'Sharma', 26, 'F', 10000, 104), 
   ('Trupthi', 'Mishra', 24, 'F', 6000, 105);
Query OK, 5 rows affected (0.08 sec)
Records: 5 Duplicates: 0 Warnings: 0

然后，如果我们创建了另一个表并将其填充为-

CREATE TABLE CONTACT(
   ID INT NOT NULL,
   EMAIL CHAR(20) NOT NULL,
   PHONE LONG,
   CITY CHAR(20)
);
Query OK, 0 rows affected (0.49 sec)

INSERT INTO CONTACT (ID, EMAIL, CITY) VALUES 
   (101, 'Krishna@mymail.com', 'Hyderabad'), 
   (102, 'Raja@mymail.com', 'Vishakhapatnam'), 
   (103, 'Krishna@mymail.com', 'Pune'), 
   (104, 'Raja@mymail.com', 'Mumbai');
Query OK, 4 rows affected (0.10 sec)
Records: 4 Duplicates: 0 Warnings: 0

以下语句检索结合这两个表中的值的数据-

mysql> SELECT * from EMPLOYEE INNER JOIN CONTACT ON EMPLOYEE.CONTACT = CONTACT.ID;
+------------+--------------+------+------+--------+---------+-----+--------------------+-------+----------------+
| FIRST_NAME | LAST_NAME    | AGE  | SEX  | INCOME | CONTACT | ID  | EMAIL              | PHONE | CITY           |
+------------+--------------+------+------+--------+---------+-----+--------------------+-------+----------------+
| Ramya      | Rama Priya   | 27   | F    | 9000   | 101     | 101 | Krishna@mymail.com | NULL  | Hyderabad      |
| Vinay      | Bhattacharya | 20   | M    | 6000   | 102     | 102 | Raja@mymail.com    | NULL  | Vishakhapatnam |
| Sharukh    | Sheik        | 25   | M    | 8300   | 103     | 103 | Krishna@mymail.com | NULL  | Pune           |
| Sarmista   | Sharma       | 26   | F    | 10000  | 104     | 104 | Raja@mymail.com    | NULL  | Mumbai         |
+------------+--------------+------+------+--------+---------+-----+--------------------+-------+----------------+
4 rows in set (0.00 sec)

使用Python的MYSQL JOIN

以下示例从上面两个表中检索数据，这些表由EMPLOYEE表的contact列和CONTACT表的ID列组合而成。

import mysql.connector

#establishing the connection
conn = mysql.connector.connect(
   user='root', password='password', host='127.0.0.1', database='mydb'
)

#Creating a cursor object using the cursor() method
cursor = conn.cursor()

#Retrieving single row
sql = '''SELECT * from EMPLOYEE INNER JOIN CONTACT ON EMPLOYEE.CONTACT = CONTACT.ID'''

#Executing the query
cursor.execute(sql)

#Fetching 1st row from the table
result = cursor.fetchall();
print(result)

#Closing the connection
conn.close()

输出

[('Krishna', 'Sharma', 26, 'M', 2000, 101, 101, 'Krishna@mymail.com', 9848022338, 'Hyderabad'), 
   ('Raj', 'Kandukuri', 20, 'M', 7000, 102, 102, 'Raja@mymail.com', 9848022339, 'Vishakhapatnam'), 
   ('Ramya', 'Ramapriya', 29, 'F', 5000, 103, 103, 'Krishna@mymail.com', 9848022337, 'Pune'), 
   ('Mac', 'Mohan', 26, 'M', 2000, 104, 104, 'Raja@mymail.com', 9848022330, 'Mumbai')]