- Python PostgreSQL 教程
- Python PostgreSQL - 主页
- Python PostgreSQL - 简介
- Python PostgreSQL - 数据库连接
- Python PostgreSQL - 创建数据库
- Python PostgreSQL - 创建表
- Python PostgreSQL - 插入数据
- Python PostgreSQL - 选择数据
- Python PostgreSQL -Where 子句
- Python PostgreSQL - 排序依据
- Python PostgreSQL - 更新表
- Python PostgreSQL - 删除数据
- Python PostgreSQL - 删除表
- Python PostgreSQL - 限制
- Python PostgreSQL - 加入
- Python PostgreSQL - 游标对象
- Python PostgreSQL 有用资源
- Python PostgreSQL - 快速指南
- Python PostgreSQL - 有用的资源
- Python PostgreSQL - 讨论
Python PostgreSQL - 加入
将数据分为两个表后,您可以使用联接从这两个表中获取组合记录。
例子
假设我们创建了一个名为 CRICKETERS 的表,并向其中插入了 5 条记录,如下所示 -
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');
并且,如果我们创建了另一个名为 OdiStats 的表,并向其中插入了 5 条记录:
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);
以下语句检索组合这两个表中的值的数据 -
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=#
使用 Python 加入
将数据分为两个表后,您可以使用联接从这两个表中获取组合记录。
例子
以下 python 程序演示了 JOIN 子句的用法 -
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()
输出
[ ('Ramya', 'Rama priya', 27, 'F', 9000.0, 101, 101, 'Krishna@mymail.com', 'Hyderabad'), ('Vinay', 'Battacharya', 20, 'M', 6000.0, 102, 102, 'Raja@mymail.com', 'Vishakhapatnam'), ('Sharukh', 'Sheik', 25, 'M', 8300.0, 103, 103, 'Krishna@mymail.com ', 'Pune'), ('Sarmista', 'Sharma', 26, 'F', 10000.0, 104, 104, 'Raja@mymail.com', 'Mumbai') ]