本篇博文主要介绍Python连接各种数据库的方法及简单使用
包括关系数据库:sqlite,mysql,mssql
非关系数据库:MongoDB,Redis
代码写的比较清楚,直接上代码
1.连接sqlite
# coding=utf-8 # http://www.runoob.com/sqlite/sqlite-python.html import sqlite3 import traceback try: # 如果表不存在,就创建 with sqlite3.connect('test.db') as conn: print("Opened database successfully") # 删除表 conn.execute("DROP TABLE IF EXISTS COMPANY") # 创建表 sql = """ CREATE TABLE IF NOT EXISTS COMPANY (ID INTEGER PRIMARY KEY AUTOINCREMENT, NAME TEXT NOT NULL, AGE INT NOT NULL, ADDRESS CHAR(50), SALARY REAL); """ conn.execute(sql) print("create table successfully") # 添加数据 conn.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES (", [('Paul', 32, 'California', 20000.00), ('Allen', 25, 'Texas', 15000.00), ('Teddy', 23, 'Norway', 20000.00), ('Mark', 25, 'Rich-Mond ', 65000.00), ('David', 27, 'Texas', 85000.00), ('Kim', 22, 'South-Hall', 45000.00), ('James', 24, 'Houston', 10000.00)]) # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) # VALUES ( 'Paul', 32, 'California', 20000.00 )") # # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) # VALUES ('Allen', 25, 'Texas', 15000.00 )") # # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) # VALUES ('Teddy', 23, 'Norway', 20000.00 )") # # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) # VALUES ( 'Mark', 25, 'Rich-Mond ', 65000.00 )") # # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) # VALUES ( 'David', 27, 'Texas', 85000.00 )"); # # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) # VALUES ( 'Kim', 22, 'South-Hall', 45000.00 )") # # conn.execute("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) # VALUES ( 'James', 24, 'Houston', 10000.00 )") # 提交,否则重新运行程序时,表中无数据 conn.commit() print("insert successfully") # 查询表 sql = """ select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY """ result = conn.execute(sql) for row in result: print("-" * 50) # 输出50个-,作为分界线 print("%-10s %s" % ("id", row[0])) # 字段名固定10位宽度,并且左对齐 print("%-10s %s" % ("name", row[1])) print("%-10s %s" % ("age", row[2])) print("%-10s %s" % ("address", row[3])) print("%-10s %.2f" % ("salary", row[4])) # or # print('{:10s} {:.2f}'.format("salary", row[4])) except sqlite3.Error as e: print("sqlite3 Error:", e) traceback.print_exc()
2.连接mysql
2.1使用mysqldb库中的_mysql
#! /usr/bin/env python2.7 # coding=utf-8 # Created by xiaosanyu at 16/5/30 # mysqldb 只支持python2.7 # http://mysql-python.sourceforge.net/ import MySQLdb from contextlib import closing import traceback try: # 获取一个数据库连接 with closing(MySQLdb.connect(host='localhost', user='root', passwd='root', db='test', port=3306,charset='utf8')) as conn: print("connect database successfully") with closing(conn.cursor()) as cur: # 删除表 cur.execute("DROP TABLE IF EXISTS COMPANY") # 创建表 sql = """ CREATE TABLE IF NOT EXISTS COMPANY (ID INTEGER PRIMARY KEY NOT NULL auto_increment, NAME TEXT NOT NULL, AGE INT NOT NULL, ADDRESS CHAR(50), SALARY REAL); """ cur.execute(sql) print("create table successfully") # 添加数据 # 在一个conn.execute里面里面执行多个sql语句是非法的 cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )", [('Paul', 32, 'California', 20000.00), ('Allen', 25, 'Texas', 15000.00), ('Teddy', 23, 'Norway', 20000.00), ('Mark', 25, 'Rich-Mond ', 65000.00), ('David', 27, 'Texas', 85000.00), ('Kim', 22, 'South-Hall', 45000.00), ('James', 24, 'Houston', 10000.00)]) # 提交,否则重新运行程序时,表中无数据 conn.commit() print("insert successfully") # 查询表 sql = """ select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY """ cur.execute(sql) for row in cur.fetchall(): print("-" * 50) # 输出50个-,作为分界线 print("%-10s %s" % ("id", row[0])) # 字段名固定10位宽度,并且左对齐 print("%-10s %s" % ("name", row[1])) print("%-10s %s" % ("age", row[2])) print("%-10s %s" % ("address", row[3])) print("%-10s %s" % ("salary", row[4])) except MySQLdb.Error as e: print("Mysql Error:", e) traceback.print_exc() # 打印错误栈信息
2.2 使用MySQLdb
#! /usr/bin/env python2.7 # coding=utf-8 # Created by xiaosanyu at 16/5/30 # mysqldb 只支持python2.7 # http://mysql-python.sourceforge.net/ import MySQLdb from contextlib import closing import traceback try: # 获取一个数据库连接 with closing(MySQLdb.connect(host='localhost', user='root', passwd='root', db='test', port=3306,charset='utf8')) as conn: print("connect database successfully") with closing(conn.cursor()) as cur: # 删除表 cur.execute("DROP TABLE IF EXISTS COMPANY") # 创建表 sql = """ CREATE TABLE IF NOT EXISTS COMPANY (ID INTEGER PRIMARY KEY NOT NULL auto_increment, NAME TEXT NOT NULL, AGE INT NOT NULL, ADDRESS CHAR(50), SALARY REAL); """ cur.execute(sql) print("create table successfully") # 添加数据 # 在一个conn.execute里面里面执行多个sql语句是非法的 cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )", [('Paul', 32, 'California', 20000.00), ('Allen', 25, 'Texas', 15000.00), ('Teddy', 23, 'Norway', 20000.00), ('Mark', 25, 'Rich-Mond ', 65000.00), ('David', 27, 'Texas', 85000.00), ('Kim', 22, 'South-Hall', 45000.00), ('James', 24, 'Houston', 10000.00)]) # 提交,否则重新运行程序时,表中无数据 conn.commit() print("insert successfully") # 查询表 sql = """ select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY """ cur.execute(sql) for row in cur.fetchall(): print("-" * 50) # 输出50个-,作为分界线 print("%-10s %s" % ("id", row[0])) # 字段名固定10位宽度,并且左对齐 print("%-10s %s" % ("name", row[1])) print("%-10s %s" % ("age", row[2])) print("%-10s %s" % ("address", row[3])) print("%-10s %s" % ("salary", row[4])) except MySQLdb.Error as e: print("Mysql Error:", e) traceback.print_exc() # 打印错误栈信息
2.3使用pymysql
2.1和2.2节使用MySQLdb,不支持Python3.x
pymysql对Python2.x和Python3.x的支持都比较好
# Created by xiaosanyu at 16/5/30 # coding=utf-8 # https://github.com/PyMySQL/PyMySQL/ import pymysql from contextlib import closing import traceback try: # 获取一个数据库连接,with关键字 表示退出时,conn自动关闭 # with 嵌套上一层的with 要使用closing() with closing(pymysql.connect(host='localhost', user='root', passwd='root', db='test', port=3306, charset='utf8')) as conn: print("connect database successfully") # 获取游标,with关键字 表示退出时,cur自动关闭 with conn.cursor() as cur: # 删除表 cur.execute("DROP TABLE IF EXISTS COMPANY") # 创建表 sql = """ CREATE TABLE IF NOT EXISTS COMPANY (ID INTEGER PRIMARY KEY NOT NULL auto_increment, NAME TEXT NOT NULL, AGE INT NOT NULL, ADDRESS CHAR(50), SALARY REAL); """ cur.execute(sql) print("create table successfully") # 添加数据 # 在一个conn.execute里面里面执行多个sql语句是非法的 cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )", [('Paul', 32, 'California', 20000.00), ('Allen', 25, 'Texas', 15000.00), ('Teddy', 23, 'Norway', 20000.00), ('Mark', 25, 'Rich-Mond ', 65000.00), ('David', 27, 'Texas', 85000.00), ('Kim', 22, 'South-Hall', 45000.00), ('James', 24, 'Houston', 10000.00)]) # 提交,否则重新运行程序时,表中无数据 conn.commit() print("insert successfully") # 查询表 sql = """ select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY """ cur.execute(sql) for row in cur.fetchall(): print("-" * 50) # 输出50个-,作为分界线 print("%-10s %s" % ("id", row[0])) # 字段名固定10位宽度,并且左对齐 print("%-10s %s" % ("name", row[1])) print("%-10s %s" % ("age", row[2])) print("%-10s %s" % ("address", row[3])) print("%-10s %s" % ("salary", row[4])) except pymysql.Error as e: print("Mysql Error:", e) traceback.print_exc()
3.连接mssql
# Created by xiaosanyu at 16/5/30 # http://www.pymssql.org/en/latest/ import pymssql from contextlib import closing try: # 先要保证数据库中有test数据库 # 获取一个数据库连接,with关键字 表示退出时,conn自动关闭 # with 嵌套上一层的with 要使用closing() with closing(pymssql.connect(host='192.168.100.114', user='sa', password='sa12345', database='test', port=1433, charset='utf8')) as conn: print("connect database successfully") # 获取游标,with关键字 表示退出时,cur自动关闭 with conn.cursor() as cur: # 删除表 cur.execute( '''if exists (select 1 from sys.objects where name='COMPANY' and type='U') drop table COMPANY''') # 创建表 sql = """ CREATE TABLE COMPANY (ID INT IDENTITY(1,1) PRIMARY KEY NOT NULL , NAME TEXT NOT NULL, AGE INT NOT NULL, ADDRESS CHAR(50), SALARY REAL); """ cur.execute(sql) print("create table successfully") # 添加数据 # 在一个conn.execute里面里面执行多个sql语句是非法的 cur.executemany("INSERT INTO COMPANY (NAME,AGE,ADDRESS,SALARY) VALUES ( %s, %s, %s, %s )", [('Paul', 32, 'California', 20000.00), ('Allen', 25, 'Texas', 15000.00), ('Teddy', 23, 'Norway', 20000.00), ('Mark', 25, 'Rich-Mond', 65000.00), ('David', 27, 'Texas', 85000.00), ('Kim', 22, 'South-Hall', 45000.00), ('James', 24, 'Houston', 10000.00)]) # 提交,否则重新运行程序时,表中无数据 conn.commit() print("insert successfully") # 查询表 sql = """ select id,NAME,AGE,ADDRESS,SALARY FROM COMPANY """ cur.execute(sql) for row in cur.fetchall(): print("-" * 50) # 输出50个-,作为分界线 print("%-10s %s" % ("id", row[0])) # 字段名固定10位宽度,并且左对齐 print("%-10s %s" % ("name", row[1])) print("%-10s %s" % ("age", row[2])) print("%-10s %s" % ("address", row[3])) print("%-10s %s" % ("salary", row[4])) except pymssql.Error as e: print("mssql Error:", e) # traceback.print_exc()
4.连接MongoDB
# Created by xiaosanyu at 16/5/30 # https://docs.mongodb.com/ecosystem/drivers/python/ # https://pypi.python.org/pypi/pymongo/ import pymongo from pymongo.mongo_client import MongoClient import pymongo.errors import traceback try: # 连接到 mongodb 服务 mongoClient = MongoClient('localhost', 27017) # 连接到数据库 mongoDatabase = mongoClient.test print("connect database successfully") # 获取集合 mongoCollection = mongoDatabase.COMPANY # 移除所有数据 mongoCollection.remove() # 添加数据 mongoCollection.insert_many([{"Name": "Paul", "Age": "32", "Address": "California", "Salary": "20000.00"}, {"Name": "Allen", "Age": "25", "Address": "Texas", "Salary": "15000.00"}, {"Name": "Teddy", "Age": "23", "Address": "Norway", "Salary": "20000.00"}, {"Name": "Mark", "Age": "25", "Address": "Rich-Mond", "Salary": "65000.00"}, {"Name": "David", "Age": "27", "Address": "Texas", "Salary": "85000.00"}, {"Name": "Kim", "Age": "22", "Address": "South-Hall", "Salary": "45000.00"}, {"Name": "James", "Age": "24", "Address": "Houston", "Salary": "10000.00"}, ]) #获取集合中的值 for row in mongoCollection.find(): print("-" * 50) # 输出50个-,作为分界线 print("%-10s %s" % ("_id", row['_id'])) # 字段名固定10位宽度,并且左对齐 print("%-10s %s" % ("name", row['Name'])) print("%-10s %s" % ("age", row['Age'])) print("%-10s %s" % ("address", row['Address'])) print("%-10s %s" % ("salary", row['Salary'])) print('\n\n\n') # 使id自增 mongoCollection.remove() # 创建计数表 mongoDatabase.counters.save({"_id": "people_id", "sequence_value": 0}) # 创建存储过程 mongoDatabase.system_js.getSequenceValue = '''function getSequenceValue(sequenceName){ var sequenceDocument = db.counters.findAndModify({ query: {_id: sequenceName}, update: {$inc:{sequence_value: 1}}, new:true }); return sequenceDocument.sequence_value; }''' mongoCollection.insert_many( [{"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Paul", "Age": "32", "Address": "California", "Salary": "20000.00"}, {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Allen", "Age": "25", "Address": "Texas", "Salary": "15000.00"}, {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Teddy", "Age": "23", "Address": "Norway", "Salary": "20000.00"}, {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Mark", "Age": "25", "Address": "Rich-Mond", "Salary": "65000.00"}, {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "David", "Age": "27", "Address": "Texas", "Salary": "85000.00"}, {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "Kim", "Age": "22", "Address": "South-Hall", "Salary": "45000.00"}, {"_id": mongoDatabase.eval("getSequenceValue('people_id')"), "Name": "James", "Age": "24", "Address": "Houston", "Salary": "10000.00"}, ]) for row in mongoCollection.find(): print("-" * 50) # 输出50个-,作为分界线 print("%-10s %s" % ("_id", int(row['_id']))) # 字段名固定10位宽度,并且左对齐 print("%-10s %s" % ("name", row['Name'])) print("%-10s %s" % ("age", row['Age'])) print("%-10s %s" % ("address", row['Address'])) print("%-10s %s" % ("salary", row['Salary'])) except pymongo.errors.PyMongoError as e: print("mongo Error:", e) traceback.print_exc()
5.连接Redis
5.1使用redis
# coding=utf-8 # Created by xiaosanyu at 16/5/31 # https://pypi.python.org/pypi/redis/2.10.5 # http://redis-py.readthedocs.io/en/latest/# import redis r = redis.Redis(host='localhost', port=6379, db=0, password="12345") print("connect", r.ping()) # 看信息 info = r.info() # or 查看部分信息 # info = r.info("Server") # 输出信息 items = info.items() for i, (key, value) in enumerate(items): print("item %s----%s:%s" % (i, key, value)) # 删除键和对应的值 r.delete("company") # 可以一次性push一条或多条数据 r.rpush("company", {"id": 1, "Name": "Paul", "Age": "32", "Address": "California", "Salary": "20000.00"}, {"id": 2, "Name": "Allen", "Age": "25", "Address": "Texas", "Salary": "15000.00"}, {"id": 3, "Name": "Teddy", "Age": "23", "Address": "Norway", "Salary": "20000.00"}) r.rpush("company", {"id": 4, "Name": "Mark", "Age": "25", "Address": "Rich-Mond", "Salary": "65000.00"}) r.rpush("company", {"id": 5, "Name": "David", "Age": "27", "Address": "Texas", "Salary": "85000.00"}) r.rpush("company", {"id": 6, "Name": "Kim", "Age": "22", "Address": "South-Hall", "Salary": "45000.00"}) r.rpush("company", {"id": 7, "Name": "James", "Age": "24", "Address": "Houston", "Salary": "10000.00"}) # eval用来将dict格式的字符串转换成dict for row in map(lambda x: eval(x), r.lrange("company", 0, r.llen("company"))): print("-" * 50) # 输出50个-,作为分界线 print("%-10s %s" % ("_id", row['id'])) # 字段名固定10位宽度,并且左对齐 print("%-10s %s" % ("name", row['Name'])) print("%-10s %s" % ("age", row['Age'])) print("%-10s %s" % ("address", row['Address'])) print("%-10s %s" % ("salary", row['Salary'])) # 关闭当前连接 # r.shutdown() #这个是关闭redis服务端
5.2使用pyredis
# Created by xiaosanyu at 16/5/30 # http://pyredis.readthedocs.io/en/latest/ import pyredis r = pyredis.Client(host='localhost', port=6379, database=0, password="12345") print("connect", r.ping().decode("utf-8")) # 看信息 # info = r.execute("info").decode() # or 查看部分信息 info = r.execute("info", "Server").decode() # 输出信息 print(info) # 删除键和对应的值 r.delete("company") # 可以一次性push一条或多条数据 r.rpush("company", '''{"id": 1, "Name": "Paul", "Age": "32", "Address": "California", "Salary": "20000.00"}''', '''{"id": 2, "Name": "Allen", "Age": "25", "Address": "Texas", "Salary": "15000.00"}''', '''{"id": 3, "Name": "Teddy", "Age": "23", "Address": "Norway", "Salary": "20000.00"}''') r.rpush("company", '''{"id": 4, "Name": "Mark", "Age": "25", "Address": "Rich-Mond", "Salary": "65000.00"}''') r.rpush("company", '''{"id": 5, "Name": "David", "Age": "27", "Address": "Texas", "Salary": "85000.00"}''') r.rpush("company", '''{"id": 6, "Name": "Kim", "Age": "22", "Address": "South-Hall", "Salary": "45000.00"}''') r.rpush("company", '''{"id": 7, "Name": "James", "Age": "24", "Address": "Houston", "Salary": "10000.00"}''') # eval用来将dict格式的字符串转换成dict for row in map(lambda x: eval(x), r.lrange("company", 0, r.llen("company"))): print("-" * 50) # 输出50个-,作为分界线 print("%-10s %s" % ("_id", row['id'])) # 字段名固定10位宽度,并且左对齐 print("%-10s %s" % ("name", row['Name'])) print("%-10s %s" % ("age", row['Age'])) print("%-10s %s" % ("address", row['Address'])) print("%-10s %s" % ("salary", row['Salary'])) # 关闭当前连接 r.close()
代码下载:python_connect_database
以上这篇python 连接各类主流数据库的实例代码就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持。
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稳了!魔兽国服回归的3条重磅消息!官宣时间再确认!
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这里面让他访问的是一个国服的战网网址,com.cn和后面的zh都非常明白地表明这就是国服战网。
而他在复制这个网址并且进行登录之后,确实是网易的网址,也就是我们熟悉的停服之后国服发布的暴雪游戏产品运营到期开放退款的说明。这是一件比较奇怪的事情,因为以前都没有出现这样的情况,现在突然提示跳转到国服战网的网址,是不是说明了简体中文客户端已经开始进行更新了呢?
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