安装 $ pip install pymongo//指定pymongo版本$ pip install pymongo==2.1.1//upgrade现有的版本$ pip install --upgrade pymongo 使用 from pymongo import MongoClientconnection = MongoClient()#指定host和portconnection = MongoClient('localhost', 27
安装
$ pip install pymongo //指定pymongo版本 $ pip install pymongo==2.1.1 //upgrade现有的版本 $ pip install --upgrade pymongo
使用
from pymongo import MongoClient
connection = MongoClient()
#指定host和port
connection = MongoClient('localhost', 27017)
db = connection.test_database
插入
>>> import datetime
>>> post = {"author": "Mike",
... "text": "My first blog post!",
... "tags": ["mongodb", "python", "pymongo"],
... "date": datetime.datetime.utcnow()}
>>> posts = db.posts
>>> post_id = posts.insert(post)
>>> post_id
ObjectId('...')
#多个插入
>>> new_posts = [{"author": "Mike",
... "text": "Another post!",
... "tags": ["bulk", "insert"],
... "date": datetime.datetime(2009, 11, 12, 11, 14)},
... {"author": "Eliot",
... "title": "MongoDB is fun",
... "text": "and pretty easy too!",
... "date": datetime.datetime(2009, 11, 10, 10, 45)}]
>>> posts.insert(new_posts)
[ObjectId('...'), ObjectId('...')]
查找
>>>posts.find_one({"author": "Mike"})
{u'date': datetime.datetime(...), u'text': u'My first blog post!', u'_id': ObjectId('...'), u'author': u'Mike', u'tags': [u'mongodb', u'python', u'pymongo']}
#若不存在则没有返回值
#按id查找
>>>posts.find_one({"_id": post_id})
{u'date': datetime.datetime(...), u'text': u'My first blog post!', u'_id': ObjectId('...'), u'author': u'Mike', u'tags': [u'mongodb', u'python', u'pymongo']}
#注意post_id为ObjectId类型而不是string, 如果是string则会找不到
#所以当从请求的url中获取id后必须把string类型转换成ObjectId类型再使用
from bson.objectid import ObjectId
# The web framework gets post_id from the URL and passes it as a string
def get(post_id):
# Convert from string to ObjectId:
document = connection.db.collection.find_one({'_id': ObjectId(post_id)})
count
>>> posts.count()
3
>>> posts.find({"author": "Mike"}).count()
2
sort和limit
#-1为倒序
db.posts.find().sort({'author':-1}).limit(10)
update
db.posts.update({"_id": post_id}, {"$set": {"author":"Mark"}})
原文地址：PyMongo笔记, 感谢原作者分享。
