Python - 数据库和 SQL
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简述
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。以下是可用 Python 数据库接口的列表:Python 数据库接口和 API。您必须为需要访问的每个数据库下载单独的 DB API 模块。在本章中,我们将看到 SQLite 数据库在 Python 编程语言中的使用。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:在 RAM 中创建数据库。现在,让我们运行上面的程序来创建我们的数据库test.db在当前目录中。您可以根据需要更改路径。将上述代码保存在 sqlite.py 文件中并执行如下所示。如果数据库创建成功,那么它将显示以下消息。$chmod +x sqlite.py $./sqlite.py Open database successfully
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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()
执行上述程序时,它将在您的test.db它将显示以下消息 -Opened database successfully Table created successfully
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插入操作
下面的 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()
执行上述程序时,它将在 COMPANY 表中创建给定的记录,并将显示以下两行 -Opened database successfully Records created successfully
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选择操作
下面的 Python 程序显示了如何从上面示例中创建的 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
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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
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删除操作
下面的 Python 代码展示了如何使用 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