#!/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)