Python - 数据库和 SQL
Python 编程语言具有强大的数据库编程功能。 Python 支持各种数据库,如 SQLite、MySQL、Oracle、Sybase、PostgreSQL 等。Python 还支持数据定义语言 (DDL)、数据操作语言 (DML) 和数据查询语句。 数据库接口的 Python 标准是 Python DB-API。 大多数 Python 数据库接口都遵循这个标准。
这里是可用的 Python 数据库接口列表:Python 数据库接口和 API。 您必须为每个需要访问的数据库下载单独的 DB API 模块。
本章我们将看到在python编程语言中使用SQLite数据库。 它是通过使用 python 的内置 sqlite3 模块完成的。 您应该首先创建一个代表数据库的连接对象,然后创建一些游标对象来执行 SQL 语句。
连接到数据库
以下 Python 代码显示了如何连接到现有数据库。 如果数据库不存在,则创建它,最后返回一个数据库对象。
#!/usr/bin/python import sqlite3 conn = sqlite3.connect('test.db') print "Opened database successfully";
在这里,您还可以提供数据库名称作为特殊名称:memory:,以便在RAM 中创建数据库。 现在,让我们运行上面的程序来在当前目录中创建我们的数据库 test.db。 您可以根据需要更改路径。 将以上代码保存在sqlite.py文件中,如下图所示执行。 如果数据库创建成功,则会显示以下消息。
$chmod +x sqlite.py $./sqlite.py Open database successfully
创建表
以下 Python 程序将用于在先前创建的数据库中创建表。
#!/usr/bin/python import sqlite3 conn = sqlite3.connect('test.db') print "Opened database successfully"; conn.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.close()
当上面的程序执行时,它会在你的 test.db 中创建 COMPANY 表,并显示以下消息 −
Opened database successfully Table created successfully
插入操作
以下 Python 程序显示了如何在上面示例中创建的 COMPANY 表中创建记录。
#!/usr/bin/python import sqlite3 conn = sqlite3.connect('test.db') print "Opened database successfully"; conn.execute("INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) \ VALUES (1, 'Paul', 32, 'California', 20000.00 )"); conn.execute("INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) \ VALUES (2, 'Allen', 25, 'Texas', 15000.00 )"); conn.execute("INSERT INTO COMPANY (ID,NAME,AGE,ADDRESS,SALARY) \ VALUES (3, 'Teddy', 23, 'Norway', 20000.00 )"); conn.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()
当上面的程序执行时,它会在 COMPANY 表中创建给定的记录,并显示以下两行 −
Opened database successfully Records created successfully
选择操作
以下 Python 程序展示了如何从上例中创建的 COMPANY 表中获取和显示记录。
#!/usr/bin/python import sqlite3 conn = sqlite3.connect('test.db') print "Opened database successfully"; cursor = conn.execute("SELECT id, name, address, salary from COMPANY") for row in cursor: print "ID = ", row[0] print "NAME = ", row[1] print "ADDRESS = ", row[2] print "SALARY = ", row[3], "\n" print "Operation done successfully"; conn.close()
执行上述程序时,会产生如下结果。
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
更新操作
以下 Python 代码显示了如何使用 UPDATE 语句更新任何记录,然后从 COMPANY 表中获取并显示更新后的记录。
#!/usr/bin/python import sqlite3 conn = sqlite3.connect('test.db') print "Opened database successfully"; conn.execute("UPDATE COMPANY set SALARY = 25000.00 where ID = 1") conn.commit print "Total number of rows updated :", conn.total_changes cursor = conn.execute("SELECT id, name, address, salary from COMPANY") for row in cursor: print "ID = ", row[0] print "NAME = ", row[1] print "ADDRESS = ", row[2] print "SALARY = ", row[3], "\n" print "Operation done successfully"; conn.close()
执行上述程序时,会产生如下结果。
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
删除操作
以下 Python 代码显示了如何使用 DELETE 语句删除任何记录,然后从 COMPANY 表中获取并显示剩余的记录。
#!/usr/bin/python import sqlite3 conn = sqlite3.connect('test.db') print "Opened database successfully"; conn.execute("DELETE from COMPANY where ID = 2;") conn.commit() print "Total number of rows deleted :", conn.total_changes cursor = conn.execute("SELECT id, name, address, salary from COMPANY") for row in cursor: print "ID = ", row[0] print "NAME = ", row[1] print "ADDRESS = ", row[2] print "SALARY = ", row[3], "\n" print "Operation done successfully"; conn.close()
执行上述程序时,会产生如下结果。
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