Python PostgreSQL - Junte-se

Depois de dividir os dados em duas tabelas, você pode buscar registros combinados dessas duas tabelas usando Joins.

Exemplo

Suponha que criamos uma tabela com o nome CRICKETERS e inserimos 5 registros nela, conforme mostrado abaixo -

postgres=# CREATE TABLE CRICKETERS (
   First_Name VARCHAR(255), Last_Name VARCHAR(255), Age int, 
   Place_Of_Birth VARCHAR(255), Country VARCHAR(255)
);
postgres=# insert into CRICKETERS values (
   'Shikhar', 'Dhawan', 33, 'Delhi', 'India'
);
postgres=# insert into CRICKETERS values (
   'Jonathan', 'Trott', 38, 'CapeTown', 'SouthAfrica'
);
postgres=# insert into CRICKETERS values (
   'Kumara', 'Sangakkara', 41, 'Matale', 'Srilanka'
);
postgres=# insert into CRICKETERS values (
   'Virat', 'Kohli', 30, 'Delhi', 'India'
);
postgres=# insert into CRICKETERS values (
   'Rohit', 'Sharma', 32, 'Nagpur', 'India'
);

E, se tivermos criado outra tabela com o nome OdiStats e inserido 5 registros nela como -

postgres=# CREATE TABLE ODIStats (
   First_Name VARCHAR(255), Matches INT, Runs INT, AVG FLOAT, 
   Centuries INT, HalfCenturies INT
);
postgres=# insert into OdiStats values ('Shikhar', 133, 5518, 44.5, 17, 27);
postgres=# insert into OdiStats values ('Jonathan', 68, 2819, 51.25, 4, 22);
postgres=# insert into OdiStats values ('Kumara', 404, 14234, 41.99, 25, 93);
postgres=# insert into OdiStats values ('Virat', 239, 11520, 60.31, 43, 54);
postgres=# insert into OdiStats values ('Rohit', 218, 8686, 48.53, 24, 42);

A instrução a seguir recupera dados combinando os valores nessas duas tabelas -

postgres=# SELECT
Cricketers.First_Name, Cricketers.Last_Name, Cricketers.Country,
OdiStats.matches, OdiStats.runs, OdiStats.centuries, OdiStats.halfcenturies
from Cricketers INNER JOIN OdiStats ON Cricketers.First_Name = OdiStats.First_Name;
first_name  | last_name  | country     | matches | runs  | centuries | halfcenturies
------------+------------+-------------+---------+-------+-----------+---------------
Shikhar     | Dhawan     | India       | 133     | 5518  | 17        | 27
Jonathan    | Trott      | SouthAfrica | 68      | 2819  | 4         | 22
Kumara      | Sangakkara | Srilanka    | 404     | 14234 | 25        | 93
Virat       | Kohli      | India       | 239     | 11520 | 43        | 54
Rohit       | Sharma     | India       | 218     | 8686  | 24        | 42
(5 rows)
postgres=#

Une-se usando python

Depois de dividir os dados em duas tabelas, você pode buscar registros combinados dessas duas tabelas usando Joins.

Exemplo

O programa python a seguir demonstra o uso da cláusula JOIN -

import psycopg2

#establishing the connection
conn = psycopg2.connect(
   database="mydb", user='postgres', password='password', host='127.0.0.1', port= '5432'
)
#Setting auto commit false
conn.autocommit = True

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

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

#Executing the query
cursor.execute(sql)

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

#Commit your changes in the database
conn.commit()

#Closing the connection
conn.close()

Resultado

[('Ramya', 'Rama priya', 27, 'F', 9000.0, 101, 101, '[email protected]', 'Hyderabad'), 
   ('Vinay', 'Battacharya', 20, 'M', 6000.0, 102, 102, '[email protected]', 'Vishakhapatnam'), 
   ('Sharukh', 'Sheik', 25, 'M', 8300.0, 103, 103, '[email protected] ', 'Pune'), 
   ('Sarmista', 'Sharma', 26, 'F', 10000.0, 104, 104, '[email protected]', 'Mumbai')]