Python 使用pymongo操作mongodb库


版权声明:本文为博主原创文章,未经博主允许不得转载。
1,安装python3.5
如果Python还没有安装,可以直接用yum安装,
- # 不过安装的是2.6 version
- yum install -y python
源码安装3.5
- wget https://www.python.org/ftp/python/3.5.0/Python-3.5.0.tgz
- tar -xvf Python-3.5.0.tgz
- cd Python-3.5.0
- ./configure --prefix=/usr/local--enable-shared
- make
- make install
- ln -s /usr/local/bin/python3 /usr/bin/python3
运行python之前需要配置库
echo /usr/local/lib >> /etc/ld.so.conf.d/local.conf
ldconfig
运行演示
python3 --version
部分执行过程:
- [root@03_sdwm Python-3.5.0]# echo/usr/local/lib >> /etc/ld.so.conf.d/local.conf
- [root@03_sdwm Python-3.5.0]# ldconfig
- [root@03_sdwm Python-3.5.0]#
- [root@03_sdwm Python-3.5.0]#
- [root@03_sdwm Python-3.5.0]# python3--version
- Python 3.5.0
- [root@03_sdwm Python-3.5.0]#
2,安装pymongo
安装方法有2种,分别是Installing with pip和Installing with easy_install,这里采用Installing witheasy_install参考官方文章:
http://api.mongodb.com/python/current/installation.html#installing-with-easy-install,
安装python pymongo
- [root@03_sdwm ~]# python3 -m easy_install pymongo
- Searching for pymongo
- Reading http://pypi.python.org/simple/pymongo/
- Best match: pymongo 3.4.0
- Downloading https://pypi.python.org/packages/82/26/f45f95841de5164c48e2e03aff7f0702e22cef2336238d212d8f93e91ea8/pymongo-3.4.0.tar.gz#md5=aa77f88e51e281c9f328cea701bb6f3e
- Processing pymongo-3.4.0.tar.gz
- Running pymongo-3.4.0/setup.py -q bdist_egg --dist-dir /tmp/easy_install-ZZv1Ig/pymongo-3.4.0/egg-dist-tmp-LRDmoy
- zip_safe flag not set; analyzing archive contents...
- Adding pymongo 3.4.0 to easy-install.pth file
- Installed /usr/lib/python2.6/site-packages/pymongo-3.4.0-py2.6-linux-x86_64.egg
- Processing dependencies for pymongo
- Finished processing dependencies for pymongo
- [root@03_sdwm ~]#
3,使用pymongo操作mongodb
- #!/usr/bin/env python
- # -*- coding: utf-8 -*-
- import pymongo
- import datetime
- def get_db():
- # 建立连接
- client = pymongo.MongoClient(host="10.244.25.180", port=27017)
- db = client['example']
- #或者 db = client.example
- return db
- def get_collection(db):
- # 选择集合(mongo中collection和database都是延时创建的)
- coll = db['informations']
- print db.collection_names()
- return coll
- def insert_one_doc(db):
- # 插入一个document
- coll = db['informations']
- information = {"name": "quyang", "age": "25"}
- information_id = coll.insert(information)
- print information_id
- def insert_multi_docs(db):
- # 批量插入documents,插入一个数组
- coll = db['informations']
- information = [{"name": "xiaoming", "age": "25"}, {"name": "xiaoqiang", "age": "24"}]
- information_id = coll.insert(information)
- print information_id
- def get_one_doc(db):
- # 有就返回一个,没有就返回None
- coll = db['informations']
- print coll.find_one() # 返回第一条记录
- print coll.find_one({"name": "quyang"})
- print coll.find_one({"name": "none"})
- def get_one_by_id(db):
- # 通过objectid来查找一个doc
- coll = db['informations']
- obj = coll.find_one()
- obj_id = obj["_id"]
- print "_id 为ObjectId类型,obj_id:" + str(obj_id)
- print coll.find_one({"_id": obj_id})
- # 需要注意这里的obj_id是一个对象,不是一个str,使用str类型作为_id的值无法找到记录
- print "_id 为str类型 "
- print coll.find_one({"_id": str(obj_id)})
- # 可以通过ObjectId方法把str转成ObjectId类型
- from bson.objectid import ObjectId
- print "_id 转换成ObjectId类型"
- print coll.find_one({"_id": ObjectId(str(obj_id))})
- def get_many_docs(db):
- # mongo中提供了过滤查找的方法,可以通过各种条件筛选来获取数据集,还可以对数据进行计数,排序等处理
- coll = db['informations']
- #ASCENDING = 1 升序;DESCENDING = -1降序;default is ASCENDING
- for item in coll.find().sort("age", pymongo.DESCENDING):
- print item
- count = coll.count()
- print "集合中所有数据 %s个" % int(count)
- #条件查询
- count = coll.find({"name":"quyang"}).count()
- print "quyang: %s"%count
- def clear_all_datas(db):
- #清空一个集合中的所有数据
- db["informations"].remove()
- if __name__ == '__main__':
- db = get_db()
- my_collection = get_collection(db)
- post = {"author": "Mike", "text": "My first blog post!", "tags": ["mongodb", "python", "pymongo"],
- "date": datetime.datetime.utcnow()}
- # 插入记录
- my_collection.insert(post)
- insert_one_doc(db)
- # 条件查询
- print my_collection.find_one({"x": "10"})
- # 查询表中所有的数据
- for iii in my_collection.find():
- print iii
- print my_collection.count()
- my_collection.update({"author": "Mike"},
- {"author": "quyang", "text": "My first blog post!", "tags": ["mongodb", "python", "pymongo"],
- "date": datetime.datetime.utcnow()})
- for jjj in my_collection.find():
- print jjj
- get_one_doc(db)
- get_one_by_id(db)
- get_many_docs(db)
- # clear_all_datas(db)
- mysql> show profile for query 4;
- +--------------------+----------+
- | Status | Duration |
- +--------------------+----------+
- | executing | 0.000017 |
- | Sending data | 0.018048 |
- | executing | 0.000028 |
- | Sending data | 0.018125 |
- | executing | 0.000022 |
- | Sending data | 0.015749 |
- | executing | 0.000017 |
- | Sending data | 0.015633 |
- | executing | 0.000017 |
- | Sending data | 0.015382 |
- | executing | 0.000015 |
- | Sending data | 0.015707 |
- | executing | 0.000023 |
- | Sending data | 0.015890 |
- | executing | 0.000022 |
- | Sending data | 0.015908 |
- | executing | 0.000017 |
- | Sending data | 0.015761 |
- | executing | 0.000022 |
- | Sending data | 0.015542 |
- | executing | 0.000014 |
- | Sending data | 0.015561 |
- | executing | 0.000016 |
- | Sending data | 0.015546 |
- | executing | 0.000037 |
- | Sending data | 0.015555 |
- | executing | 0.000015 |
- | Sending data | 0.015779 |
- | executing | 0.000026 |
- | Sending data | 0.015815 |
- | executing | 0.000015 |
- | Sending data | 0.015468 |
- | executing | 0.000015 |
- | Sending data | 0.015457 |
- | executing | 0.000015 |
- | Sending data | 0.015457 |
- | executing | 0.000014 |
- | Sending data | 0.015500 |
- | executing | 0.000014 |
- | Sending data | 0.015557 |
- | executing | 0.000015 |
- | Sending data | 0.015537 |
- | executing | 0.000014 |
- | Sending data | 0.015395 |
- | executing | 0.000021 |
- | Sending data | 0.015416 |
- | executing | 0.000014 |
- | Sending data | 0.015416 |
- | executing | 0.000014 |
- | Sending data | 0.015399 |
- | executing | 0.000023 |
- | Sending data | 0.015407 |
- | executing | 0.000014 |
- | Sending data | 0.015585 |
- | executing | 0.000014 |
- | Sending data | 0.015385 |
- | executing | 0.000014 |
- | Sending data | 0.015412 |
- | executing | 0.000014 |
- | Sending data | 0.015408 |
- | executing | 0.000014 |
- | Sending data | 0.015753 |
- | executing | 0.000014 |
- | Sending data | 0.015376 |
- | executing | 0.000014 |
- | Sending data | 0.015416 |
- | executing | 0.000019 |
- | Sending data | 0.015368 |
- | executing | 0.000014 |
- | Sending data | 0.015481 |
- | executing | 0.000015 |
- | Sending data | 0.015619 |
- | executing | 0.000015 |
- | Sending data | 0.015662 |
- | executing | 0.000016 |
- | Sending data | 0.015574 |
- | executing | 0.000015 |
- | Sending data | 0.015566 |
- | executing | 0.000015 |
- | Sending data | 0.015488 |
- | executing | 0.000013 |
- | Sending data | 0.015493 |
- | executing | 0.000015 |
- | Sending data | 0.015386 |
- | executing | 0.000015 |
- | Sending data | 0.015485 |
- | executing | 0.000018 |
- | Sending data | 0.015760 |
- | executing | 0.000014 |
- | Sending data | 0.015386 |
- | executing | 0.000015 |
- | Sending data | 0.015418 |
- | executing | 0.000014 |
- | Sending data | 0.015458 |
- | end | 0.000016 |
- | query end | 0.000019 |
- | closing tables | 0.000018 |
- | freeing items | 0.000825 |
- | logging slow query | 0.000067 |
- | cleaning up | 0.000025 |
- +--------------------+----------+
- 100 rows in set, 1 warning (0.00 sec)
- mysql>
Python 使用pymongo操作mongodb库的更多相关文章
- python操作三大主流数据库(8)python操作mongodb数据库②python使用pymongo操作mongodb的增删改查
python操作mongodb数据库②python使用pymongo操作mongodb的增删改查 文档http://api.mongodb.com/python/current/api/index.h ...
- python 通过pymongo操作mongoDB执行sort
在mongo shell 中对数据进行排序操作的时候 db.getCollection('ANJUKE_PRICE').find({},{'id':1,'_id':0}).sort({'id':1}) ...
- MongoDB学习【四】—pymongo操作mongodb数据库
一.pymongodb的安装 Python 要连接 MongoDB 需要 MongoDB 驱动,这里我们使用 PyMongo 驱动来连接. pip安装 pip 是一个通用的 Python 包管理工具, ...
- python使用pymongo访问MongoDB的基本操作,以及CSV文件导出
1. 环境. Python:3.6.1 Python IDE:pycharm 系统:win7 2. 简单示例 import pymongo # mongodb服务的地址和端口号mongo_url = ...
- pymongo操作mongodb
此验证中只开启两个mongodb节点,可以连接任意节点,以下操作不涉及读写,不涉及连接那个节点 mongodb连接: from pymongo import MongoReplicaSetClient ...
- python(3):文件操作/os库
文件基本操作 r,以读模式打开, r+=r+w, w, 写模式(清空原来的内容), w+=w+r, a , 追加模式, a+=a+r, rb, wb, ab, b表示以二进制文件打开 想在一段文 ...
- Python操作MongoDB看这一篇就够了
MongoDB是由C++语言编写的非关系型数据库,是一个基于分布式文件存储的开源数据库系统,其内容存储形式类似JSON对象,它的字段值可以包含其他文档.数组及文档数组,非常灵活.在这一节中,我们就来看 ...
- python操作mongodb
# python操作mongodb # 首先,引入第三方模块pymongo,该模块是python用来操作mongodb的 import pymongo # 第二步,设置ip地址,以及表格名称,表格名字 ...
- 8.3 操作MongoDB数据库
一项权威调查显示,在大数据时代软件开发人员必备的十项技能中MongoDB数据库名列第二,仅次于HTML5.MongoDB是一个基于分布式文件存储的文档数据库,可以说是非关系型(Not Only SQL ...
随机推荐
- C#网络编程技术FastSocket实战项目演练
一.FastSocket课程介绍 .NET框架虽然微软提供了socket通信的类库,但是还有很多事情要自己处理,比如TCP协议需要处理分包.组包.粘包.维护连接列表等,UDP协议需要处理丢包.乱序,而 ...
- C++学习笔记23,类内函数重载
该博文仅用于交流学习.请慎用于不论什么商业用途,本博主保留对该博文的一切权利. 博主博客:http://blog.csdn.net/qq844352155 转载请注明出处: 在一个类内,最常见的就是构 ...
- This function or variable may be unsafe Consider using xxx instead
问题: 在Visual C++ 6.0 以下执行正常的代码放到Visual Studio 20xx系列里就跑不动了,有时候会提演示样例如以下错误: error C4996: 'fopen': This ...
- 交叉编译Python-3.6.0到aarch64/aarch32 —— 支持sqlite3
参考 https://datko.net/2013/05/10/cross-compiling-python-3-3-1-for-beaglebone-arm-angstrom/ 平台 主机: ubu ...
- VC 中 编译 boost 1.34.1 或者 1.34.0
c++boost正则表达式的安装方法 (cy163已成功完成实验 基于宽字节 wstring 解决 "南日" 错误 匹配"12日" expression = & ...
- 在Visual Studio中使用组件图描述项目组件依赖关系
如果想描述项目组件的关系,可以考虑使用UML组建图. 在建模项目下添加一个名称为"Applicaiton Component Structure"的UML组建图. 添加各个组件,并 ...
- springboot线程池的使用和扩展(转)
springboot线程池的使用和扩展 我们常用ThreadPoolExecutor提供的线程池服务,springboot框架提供了@Async注解,帮助我们更方便的将业务逻辑提交到线程池中异步执行, ...
- C#编程(七十)----------dynamic类型
原文链接 : http://blog.csdn.net/shanyongxu/article/details/47296033 dynamic类型 C#新增了dynamic关键字,正是因为这一个小小的 ...
- Android Butterknife框架
Android Butterknife框架 注解攻略 时间 2014-02-27 09:28:09 Msquirrel原文 http://www.msquirrel.com/?p=95 一.原理. ...
- C语言之基本算法24—黄金切割法求方程近似根
//黄金切割法! /* ================================================================ 题目:用黄金切割法求解3*x*x*x-2*x* ...