安装
PostgreSQL可以用Python psycopg2模块集成。 sycopg2是Python编程语言的PostgreSQL数据库的适配器。 其程序代码少,速度快,稳定。不需要单独安装这个模块,因为它默认情况下被运往随着Python版本在2.5.x一起的。如果不把它安装在机器上,然后可以使用yum命令安装它,如下所示:
$yum install python-psycopg2
要使用psycopg2的模块,首先必须创建一个Connection对象,它表示数据库然后再可以选择创建游标对象,这将帮助执行的所有SQL语句。
Python psycopg2 模块APIs
以下是psycopg2的重要的的模块例程可以满足Python程序与PostgreSQL数据库的工作。如果寻找一个更复杂的应用程序,那么可以看看Python psycopg2的模块的官方文档。
S.N. |
API & 描述 |
1 |
psycopg2.connect(database="testdb", user="postgres", password="cohondob", host="127.0.0.1", port="5432") 这个API打开一个连接到PostgreSQL数据库。如果成功打开数据库时,它返回一个连接对象。 |
2 |
connection.cursor() 该程序创建一个光标将用于整个数据库使用Python编程。 |
3 |
cursor.execute(sql [, optional parameters]) 此例程执行SQL语句。可被参数化的SQL语句(即占位符,而不是SQL文字)。 psycopg2的模块支持占位符用%s标志 例如:cursor.execute("insert into people values (%s, %s)", |
4 |
curosr.executemany(sql, seq_of_parameters) 该程序执行SQL命令对所有参数序列或序列中的sql映射。 |
5 |
curosr.callproc(procname[, parameters]) 这个程序执行的存储数据库程序给定的名称。该程序预计为每一个参数,参数的顺序必须包含一个条目。 |
6 |
cursor.rowcount 这个只读属性,它返回数据库中的行的总数已修改,插入或删除最后 execute*(). |
7 |
connection.commit() 此方法提交当前事务。如果不调用这个方法,无论做了什么修改,自从上次调用commit()是不可见的,从其他的数据库连接。 |
8 |
connection.rollback() 此方法会回滚任何更改数据库自上次调用commit()方法。 |
9 |
connection.close() 此方法关闭数据库连接。请注意,这并不自动调用commit()。如果你只是关闭数据库连接而不调用commit()方法首先,那么所有更改将会丢失! |
10 |
cursor.fetchone() 这种方法提取的查询结果集的下一行,返回一个序列,或者无当没有更多的数据是可用的。 |
11 |
cursor.fetchmany([size=cursor.arraysize]) 这个例程中取出下一个组的查询结果的行数,返回一个列表。当没有找到记录,返回空列表。该方法试图获取尽可能多的行所显示的大小参数。 |
12 |
cursor.fetchall() 这个例程获取所有查询结果(剩余)行,返回一个列表。空行时则返回空列表。 |
创建表
以下Python程序将使用以前创建的数据库中创建一个表:
#!/usr/bin/python import psycopg2 conn = psycopg2.connect(database="testdb", user="postgres", password="pass123", host="127.0.0.1", port="")
print "Opened database successfully" cur = conn.cursor()
cur.execute('''CREATE TABLE COMPANY
(ID INT PRIMARY KEY NOT NULL,
NAME TEXT NOT NULL,
AGE INT NOT NULL,
ADDRESS CHAR(50),
SALARY REAL);''')
print "Table created successfully" conn.commit()
conn.close()
上述程序执行时,它会创建表COMPANY 在数据库test.db中,它会显示以下消息:
Opened database successfully
Table created successfully
INSERT 操作
Python程序显示了我们如何创建表COMPANY 在上面的例子中创建表中的记录:
#!/usr/bin/python import psycopg2 conn = psycopg2.connect(database="testdb", user="postgres", password="pass123", host="127.0.0.1", port="")
print "Opened database successfully" cur = conn.cursor() cur.execute("INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) \
VALUES (1, 'Paul', 32, 'California', 20000.00 )"); cur.execute("INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) \
VALUES (2, 'Allen', 25, 'Texas', 15000.00 )"); cur.execute("INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) \
VALUES (3, 'Teddy', 23, 'Norway', 20000.00 )"); cur.execute("INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) \
VALUES (4, 'Mark', 25, 'Rich-Mond ', 65000.00 )"); conn.commit()
print "Records created successfully";
conn.close() yiibai.com
上述程序执行时,它会创建COMPANY表中的记录,并显示以下两行:
Opened database successfully
Records created successfully
SELECT 操作
Python程序,显示如何获取并显示COMPANY 表在上面的例子中创建的记录:
#!/usr/bin/python import psycopg2 conn = psycopg2.connect(database="testdb", user="postgres", password="pass123", host="127.0.0.1", port="")
print "Opened database successfully" cur = conn.cursor() cur.execute("SELECT id, name, address, salary from COMPANY")
rows = cur.fetchall()
for row in rows:
print "ID = ", row[0]
print "NAME = ", row[1]
print "ADDRESS = ", row[2]
print "SALARY = ", row[3], "\n" print "Operation done successfully";
conn.close()
当上述程序执行时,它会产生以下结果:
Opened database successfully
ID = 1
NAME = Paul
ADDRESS = California
SALARY = 20000.0 ID = 2
NAME = Allen
ADDRESS = Texas
SALARY = 15000.0 ID = 3
NAME = Teddy
ADDRESS = Norway
SALARY = 20000.0 ID = 4
NAME = Mark
ADDRESS = Rich-Mond
SALARY = 65000.0 Operation done successfully
UPDATE 操作
Python代码显示如何,我们可以使用UPDATE语句来更新记录,然后从COMPANY表获取并显示更新的记录:
#!/usr/bin/python import psycopg2 conn = psycopg2.connect(database="testdb", user="postgres", password="pass123", host="127.0.0.1", port="")
print "Opened database successfully" cur = conn.cursor() cur.execute("UPDATE COMPANY set SALARY = 25000.00 where ID=1")
conn.commit
print "Total number of rows updated :", cur.rowcount cur.execute("SELECT id, name, address, salary from COMPANY")
rows = cur.fetchall()
for row in rows:
print "ID = ", row[0]
print "NAME = ", row[1]
print "ADDRESS = ", row[2]
print "SALARY = ", row[3], "\n" print "Operation done successfully";
conn.close()
当上述程序执行时,它会产生以下结果:
Opened database successfully
Total number of rows updated : 1
ID = 1
NAME = Paul
ADDRESS = California
SALARY = 25000.0 ID = 2
NAME = Allen
ADDRESS = Texas
SALARY = 15000.0 ID = 3
NAME = Teddy
ADDRESS = Norway
SALARY = 20000.0 ID = 4
NAME = Mark
ADDRESS = Rich-Mond
SALARY = 65000.0 Operation done successfully
DELETE 操作
Python代码显示了如何我们可以使用DELETE语句删除记录,然后获取并显示COMPANY 表剩余的记录:
#!/usr/bin/python import psycopg2 conn = psycopg2.connect(database="testdb", user="postgres", password="pass123", host="127.0.0.1", port="")
print "Opened database successfully" cur = conn.cursor() cur.execute("DELETE from COMPANY where ID=2;")
conn.commit
print "Total number of rows deleted :", cur.rowcount cur.execute("SELECT id, name, address, salary from COMPANY")
rows = cur.fetchall()
for row in rows:
print "ID = ", row[0]
print "NAME = ", row[1]
print "ADDRESS = ", row[2]
print "SALARY = ", row[3], "\n" print "Operation done successfully";
conn.close()
当上述程序执行时,它会产生以下结果: Opened database successfully
Total number of rows deleted : 1
ID = 1
NAME = Paul
ADDRESS = California
SALARY = 20000.0 ID = 3
NAME = Teddy
ADDRESS = Norway
SALARY = 20000.0 ID = 4
NAME = Mark
ADDRESS = Rich-Mond
SALARY = 65000.0 Operation done successfully