• python 连接操作 各类数据库


    摘要:

          用Python写脚本也有一段时间了,经常操作数据库(MySQL),现在就整理下对各类数据库的操作,如后面有新的参数会补进来,慢慢完善。

    一,python 操作 MySQL:详情见:这里

    mac 安装:http://sourceforge.net/projects/mysql-python/?source=dlp  再  sudo python setup.py build

    【apt-get install python-mysqldb】

    yum install python-devel  & pip install MySQL-python】

    yum install python-devel mysql-devel & pip install mysql-python

    #!/bin/env python
    # -*- encoding: utf-8 -*-
    #-------------------------------------------------------------------------------
    # Purpose:     example for python_to_mysql
    # Author:      zhoujy
    # Created:     2013-06-14
    # update:      2013-06-14
    #-------------------------------------------------------------------------------
    import MySQLdb
    import os
    
    #建立和数据库系统的连接,格式
    #conn   = MySQLdb.connect(host='localhost',user='root',passwd='123456',db='test',port=3306,charset='utf8')
    
    #指定配置文件,确定目录,或则写绝对路径
    cwd = os.path.realpath(os.path.dirname(__file__))
    db_conf = os.path.join(cwd, 'db.conf')
    conn   = MySQLdb.connect(read_default_file=db_conf,host='localhost',db='test',port=3306,charset='utf8')
    
    #要执行的sql语句
    query  = 'select id  from t1'
    
    #获取操作游标
    cursor = conn.cursor()
    
    #执行SQL
    cursor.execute(query)
    
    #获取一条记录,每条记录做为一个元组返回,返回3,游标指到第2条记录。
    result1 = cursor.fetchone()
    for i in result1:
        print i
    #返回影响的行数
        print cursor.rowcount
    
    #获取指定数量记录,每条记录做为一个元组返回,返回1,2,游标从第2条记录开始,游标指到第4条记录。
    result2 = cursor.fetchmany(2)
    for i in result2:
        for ii in i:
            print ii
    
    
    #获取所有记录,每条记录做为一个元组返回,返回3,4,7,6,游标从第4条记录开始到最后。
    result3 = cursor.fetchall()
    for i in result3:
        for ii in i:
            print ii
    
    #获取所有记录,每条记录做为一个元组返回,返回3,4,7,6,游标从第1条记录开始
    #重置游标位置,0为偏移量,mode=absolute | relative,默认为relative
    cursor.scroll(0,mode='absolute')
    result3 = cursor.fetchall()
    for i in result3:
        for ii in i:
            print ii
    
    #以下2种方法都可以把数据插入数据库:
    #(one)
    for i in range (10,20):
        query2 = 'insert into t1 values("%d",now())' %i
        cursor.execute(query2)
        #提交
        conn.rollback()
    #(two)
    rows = []
    for i in range (10,20):
        rows.append(i)
    query2 = 'insert into t1 values("%s",now())'
    #executemany 2个参数,第2个参数是变量。
    cursor.executemany(query2,rows)
    #提交
    conn.commit()
    
    #选择数据库
    query3 = 'select id from dba_hospital'
    #重新选择数据库
    conn.select_db('chushihua')
    
    cursor.execute(query3)
    
    result4 = cursor.fetchall()
    for i in result4:
        for ii in i:
            print ii
    #不定义query,直接执行:
    cursor.execute("set session binlog_format='mixed'")
    #关闭游标,释放资源 cursor.close() ''' +------+---------------------+ | id | modifyT | +------+---------------------+ | 3 | 2010-01-01 00:00:00 | | 1 | 2010-01-01 00:00:00 | | 2 | 2010-01-01 00:00:00 | | 3 | 2010-01-01 00:00:00 | | 4 | 2013-06-04 17:04:54 | | 7 | 2013-06-04 17:05:36 | | 6 | 2013-06-04 17:05:17 | +------+---------------------+ '''

     注意:在脚本中,密码写在脚本里面很容易暴露,这样可以用一个配置文件的方式来存密码,如db.conf:

    [client]
    user=root
    password=123456

    二,python 操作 MongoDB:详情见这里这里以及这里

    #!/bin/env python
    # -*- encoding: utf-8 -*-
    #-------------------------------------------------------------------------------
    # Purpose:     example for python_to_mongodb
    # Author:      zhoujy
    # Created:     2013-06-14
    # update:      2013-06-14
    #-------------------------------------------------------------------------------
    import pymongo
    import os
    
    #建立和数据库系统的连接,创建Connection时,指定host及port参数
    conn   = pymongo.Connection(host='127.0.0.1',port=27017)
    
    #admin 数据库有帐号,连接-认证-切换库
    db_auth = conn.admin
    db_auth.authenticate('sa','sa')
    #连接数据库
    db = conn.abc
    
    #连接表
    collection = db.stu
    
    #查看全部表名称
    db.collection_names()
    #print db.collection_names()
    
    #访问表的数据,指定列
    item = collection.find({},{"sname":1,"course":1,"_id":0})
    for rows in item:
        print rows.values()
    
    #访问表的一行数据
    print collection.find_one()
    
    #得到所有的列
    for rows in collection.find_one():
        print rows
    
    #插入
    collection.insert({"sno":100,"sname":"jl","course":{"D":80,"S":85}})
    #
    u = dict(sno=102,sname='zjjj',course={"D":80,"S":85})
    collection.insert(u)
    
    #得到行数
    print collection.find().count()
    print collection.find({"sno":100})
    
    #排序,按照某一列的值。pymongo.DESCENDING:倒序;pymongo.ASCENDING:升序。按照sno倒序
    item = collection.find().sort('sno',pymongo.DESCENDING) 
    for rows in item:
        print rows.values()
    
    #多列排序
    item = collection.find().sort([('sno',pymongo.DESCENDING),('A',pymongo.ASCENDING)])
    
    #更新,第一个参数是条件,第二个参数是更新操作,$set,%inc,$push,$ne,$addToSet,$rename 等
    collection.update({"sno":100},{"$set":{"sno":101}})
    #更新多行和多列
    collection.update({"sno":102},{"$set":{"sno":105,"sname":"SSSS"}},multi=True)
    
    #删除,第一个参数是条件,第二个参数是删除操作。
    collection.remove({"sno":101})
    
    '''
    sno:学号;sname:姓名;course:科目
    
    db.stu.insert({"sno":1,"sname":"张三","course":{"A":95,"B":90,"C":65,"D":74,"E":100}})
    db.stu.insert({"sno":2,"sname":"李四","course":{"A":90,"B":85,"X":75,"Y":64,"Z":95}})
    db.stu.insert({"sno":3,"sname":"赵五","course":{"A":70,"B":56,"F":85,"G":84,"H":80}})
    db.stu.insert({"sno":4,"sname":"zhoujy","course":{"A":64,"B":60,"C":95,"T":94,"Y":85}})
    db.stu.insert({"sno":5,"sname":"abc","course":{"A":87,"B":70,"Z":56,"G":54,"H":75}})
    db.stu.insert({"sno":6,"sname":"杨六","course":{"A":65,"U":80,"C":78,"R":75,"N":90}})
    db.stu.insert({"sno":7,"sname":"陈二","course":{"A":95,"M":68,"N":84,"S":79,"K":89}})
    db.stu.insert({"sno":8,"sname":"zhoujj","course":{"P":90,"B":77,"J":85,"K":68,"L":80}})
    db.stu.insert({"sno":9,"sname":"ccc","course":{"Q":85,"B":86,"C":90,"V":87,"U":85}})
    
    '''

    计算Mongodb文档中各集合的数目:

    import pymongo
    
    conn   = pymongo.Connection(host='127.0.0.1',port=27017)
    db = conn.abc    #abc文档
    for tb_name in db.collection_names():     #循环出各集合名
        Count = db[tb_name].count()            #计算各集合的数量
        if Count > 2:                                 #过滤条件
            print tb_name + ':' + str(Count) 
    
    '''
    conn   = pymongo.Connection(host='127.0.0.1',port=27017)
    db = conn.abc
    for tb_name in db.collection_names():
        print tb_name + ':' 
        exec('print ' + 'db.'+tb_name+'.count()')      #变量当集合的处理方式
    
    OR
    
    conn   = pymongo.Connection(host='127.0.0.1',port=27017)
    db = conn.abc
    for tb_name in db.collection_names():
        mon_dic=db.command("collStats", tb_name)      #以字典形式返回
        print mon_dic.get('ns'),mon_dic.get('count')
    
    '''

    updatetime: 2015-06-30

    MongoDB升级到了3.0之后,用python的连接会出错:

    pymongo.errors.OperationFailure: command SON([('authenticate', 1), ('user', u'dba'), ('nonce', u'8c7842b068e14d3'), ('key', u'584ec63f1cdfd8525ce33d99cd269c2c')]) failed: auth failed

    表示认证失败,说明MongoDB升级之后,对用用户的加密方式改变了。那就升级pymongo。

    zhoujy@zhoujy:~$ sudo pip install pymongo --upgrade
    [sudo] password for zhoujy:
    ...
    ...
    Successfully installed pymongo
    Cleaning up...

    升级成功,要是没有安装pip,看这里:http://www.saltycrane.com/blog/2010/02/how-install-pip-ubuntu/

    ubuntu10.10之后:

    $ sudo apt-get install python-pip python-dev build-essential 
    $ sudo pip install --upgrade pip 
    $ sudo pip install --upgrade virtualenv 

    ubuntu10.10之前的老版本:

    $ sudo apt-get install python-setuptools python-dev build-essential 
    
    $ sudo easy_install pip 
    
    $ sudo pip install --upgrade virtualenv 

    升级成功之后,继续执行python脚本,还是出错:

    AttributeError: 'module' object has no attribute 'Connection'

    表示没有 Connection ,pymongo升级完之后不支持了,看手册,发现用MongoClient 来替换了Connection。修改脚本:

    conn   = pymongo.Connection(host='127.0.0.1',port=27017)
    改成
    conn   = pymongo.MongoClient(host='127.0.0.1',port=27017)

     最后执行python,正常。

    三,python 操作 Redis:详情见这里这里/这里集群连接

    #!/bin/env python
    # -*- encoding: utf-8 -*-
    #-------------------------------------------------------------------------------
    # Purpose:     example for python_to_mongodb
    # Author:      zhoujy
    # Created:     2013-06-14
    # update:      2013-06-14
    #-------------------------------------------------------------------------------
    
    import redis
    
    f = open('aa.txt')
    while True:
        line = f.readline().strip().split(' # ')
        if line == ['']:
            break
        UserName,Pwd,Email = line
    #    print name.strip(),pwd.strip(),email.strip()
        rc = redis.StrictRedis(host='127.0.0.1',port=6379,db=15)
        rc.hset('Name:' + UserName,'Email',Email)
        rc.hset('Name:' + UserName,'Password',Pwd)
    f.close()
    
    alluser = rc.keys('*')
    #print alluser
    print "===================================读出存进去的数据==================================="
    for user in alluser:
        print ' # '.join((user.split(':')[1],rc.hget(user,'Password'),rc.hget(user,'Email'))) 

    一个pipeline的请看:这里

    四,python 操作 memcache:详情见 这里这里

    import memcache
    mc = memcache.Client(['127.0.0.1:11211'],debug=1)
    #!/usr/bin/env python
    #coding=utf-8
    import MySQLdb
    import memcache
    import sys
    import time
    
    def get_data(mysql_conn):
    #    nn = raw_input("press string name:")
        mc = memcache.Client(['127.0.0.1:11211'],debug=1)
        t1 =time.time()
        value = mc.get('zhoujinyia') 
        if value == None:
            t1 = time.time()
            print t1
            query = "select company,email,sex,address from uc_user_offline where realName = 'zhoujinyia'"
            cursor= mysql_conn.cursor()
            cursor.execute(query)
            item = cursor.fetchone()
            t2 = time.time()
            print t2
            t = round(t2-t1)
            print "from mysql cost %s sec" %t 
            print item
            mc.set('zhoujinyia',item,60)
        else :
            t2 = time.time()
            t=round(t2-t1)
            print "from memcache cost %s sec" %t
            print value
    if __name__ =='__main__':
        mysql_conn = MySQLdb.connect(host='127.0.0.1',user='root',passwd='123456',db='member',port=3306,charset='utf8')
        get_data(mysql_conn)


    上面介绍了一些python连接数据库,红色部分是连接操作的关键部分,大部分的操作没有列出来,具体的请见各官网。

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  • 原文地址:https://www.cnblogs.com/zhoujinyi/p/3129547.html
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