Python MySQL: unirse

Cuando haya dividido los datos en dos tablas, puede obtener registros combinados de estas dos tablas utilizando Combinaciones.

Ejemplo

Supongamos que hemos creado una tabla con el nombre EMPLEADO y los datos introducidos en ella como se muestra a continuación:

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

Entonces, si hemos creado otra tabla y la hemos llenado como -

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, '[email protected]', 'Hyderabad'), 
   (102, '[email protected]', 'Vishakhapatnam'), 
   (103, '[email protected]', 'Pune'), 
   (104, '[email protected]', 'Mumbai');
Query OK, 4 rows affected (0.10 sec)
Records: 4 Duplicates: 0 Warnings: 0

La siguiente declaración recupera datos que combinan los valores en estas dos tablas:

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 | [email protected] | NULL  | Hyderabad      |
| Vinay      | Bhattacharya | 20   | M    | 6000   | 102     | 102 | [email protected]    | NULL  | Vishakhapatnam |
| Sharukh    | Sheik        | 25   | M    | 8300   | 103     | 103 | [email protected] | NULL  | Pune           |
| Sarmista   | Sharma       | 26   | F    | 10000  | 104     | 104 | [email protected]    | NULL  | Mumbai         |
+------------+--------------+------+------+--------+---------+-----+--------------------+-------+----------------+
4 rows in set (0.00 sec)

MYSQL JOIN usando Python

El siguiente ejemplo recupera datos de las dos tablas anteriores combinadas por la columna de contacto de la tabla EMPLEADO y la columna ID de la tabla CONTACTO.

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()

Salida

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

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