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  • PostgreSQL连接python,postgresql在python 连接,创建表,创建表内容,插入操作,选择操作,更新操作,删除操作。

    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)", (who, age))

    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="5432")
    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="5432")
    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="5432")
    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], "
    "
    
    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="5432")
    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], "
    "
    
    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="5432")
    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], "
    "
    
    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 

     

     

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  • 原文地址:https://www.cnblogs.com/xuchunlin/p/5620449.html
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