pymongo

How to Store different language(non english) data in MongoDB Field and retrive the same data?

由 好久不见. 提交于 2019-12-22 06:16:52
问题 I am tring to store non english(like: Bengali,Hindi) data in a MongoDB field. This is my approach:- import pymongo from pymongo import MongoClient client = MongoClient() db = client.testdb db['testing'].save({'data':'শুভ নববর্ষ'}) I got an Exception. Exception Value: Non-ASCII character '\xe0' in file /test/views.py on line 5, but no encoding declared; see http://www.python.org/peps/pep-0263.html for details (views.py, line 5) After that I have tried like this:- from bson import BSON bson

add user to mongodb via python

由 流过昼夜 提交于 2019-12-22 04:39:22
问题 I want to be able to add users to MongoDB so that we can automate MongoDB installs with authentication already baked in. I can successfully add users using pymongo that are read only or are dbOwner by doing this: from pymongo import MongoClient client = MongoClient('localhost:27017') client.admin.authenticate('siteRootAdmin', 'Test123') client.testdb.add_user('newTestUser', 'Test123', True) but when I do this following code block to specify roles, it fails: from pymongo import MongoClient

Read-your-own-writes consistency in Mongodb

由 喜你入骨 提交于 2019-12-22 04:12:07
问题 first, here is what is said in Pymongo Documentation By default, PyMongo starts a request for each thread when the thread first runs an operation on MongoDB. This guarantees **read-your-writes consistency . Within a request, the thread will continue to use the same socket exclusively, and no other thread will use this socket, until the thread calls end_request() or it terminates. At that point, the socket is returned to the connection pool for use by other threads. so when using an async

how to use “group” in pymongo to group similar rows?

由 不想你离开。 提交于 2019-12-22 04:07:43
问题 I am very new to mongodb/pymongo. I have successfully imported my data into mongo and would like to use the group function to group similar row together. For example, if my data set looks like this: data = [{uid: 1 , event: 'a' , time: 1} , {uid: 1 , event: 'b' , time: 2} , {uid: 2 , event: 'c' , time: 2} , {uid: 3 , event: 'd' , time: 4} ] How do I use the group function to group the above rows according to the uid field such that the output is as follows? { {uid: 1} : [{uid: 1 , event: 'a'

close() never close connections in pymongo?

由 一笑奈何 提交于 2019-12-22 04:00:22
问题 I use MongoDB and I connect to it through pymongo. Here's my code: >>> import pymongo >>> con=pymongo.Connection('localhost',27017) >>> con.database_names() ['local', 'bookdb'] >>> con.close() >>> con.database_names() ['local', 'bookdb'] I use con.close() to disconnect to the MongoDB, but after that, I can still use con.database_names() to see the list of the databases. Why? it never disconnect to the MongoDB server. Why the close() not work? 回答1: Just read the docs, faster and more detailed.

MongoDB: Query a key having space in its name

由 眉间皱痕 提交于 2019-12-22 03:49:06
问题 I want to retrieve values of only certain keys from a MongoDB collection. But, the collection has some keys which have a 'space' in their name like: "Parent":{"key1": //some string, "key2": //some string, "key 3": //some string} I know this is a wrong approach as there shouldn't ideally be spaces in a key name but nevertheless how do I query this key? I am using Python and PyMongo. For normal keys I can do this: db.coll_name.find({"key": "India"}, {"_id": 0, "Parent.key1": 1, "Parent.key2": 1

Join and format array of objects in Python

由 假装没事ソ 提交于 2019-12-22 00:32:09
问题 I want to join and format values and array of objects to a string in python. Is there any way for me to do that? url = "https://google.com", search = "thai food", search_res = [ { "restaurant": "Siam Palace", "rating": "4.5" }, { "restaurant": "Bangkok Palace", "rating": "3.5" } ] url = "https://google.com", search = "indian food", search_res = [ { "restaurant": "Taj Palace", "rating": "2.5" }, { "restaurant": "Chennai Express", "rating": "5.0" } ] url = "https://bing.com", search = "thai

How to quickly fetch all documents MongoDB pymongo

由 萝らか妹 提交于 2019-12-21 12:19:12
问题 Currently I fetch documents by iterating through cursor in pymongo, for example: for d in db.docs.find(): mylist.append(d) For reference, performing a fetchall on the same set of data (7m records) takes around 20 seconds while the method above takes a few minutes. Is there a faster way read bulk data in mongo? Sorry I'm new to mongo, please let me know if more information is needed. 回答1: using the $natural sort will bypass the index and return the documents in the order in which they are

MongoDB之pymongo

由 只愿长相守 提交于 2019-12-21 11:36:36
PyMongo是什么 　PyMongo是驱动程序，使python程序能够使用Mongodb数据库，使用python编写而成． 安装 　环境：Ubuntu 14.04＋python2.7＋MongoDB 2.4 先去官网下载软件包，地址 点击打开链接 ．解压缩后进入，使用 python setup.py install 进行安装 或者用pip安装 pip -m install pymongo 基本使用 　创建连接 import pymongo client = pymongo.MongoClient( 'localhost', 27017) 　或者可以这样 import pymongo client = MongoClient( 'mongodb://localhost:27017/') 连接数据库 db = client.mydb 　 或者 db = client[ 'mydb'] 连接聚集 　聚集相当于关系型数据库中的表 collection = db.my_collection 　或者 collection = db[ 'my_collection'] 查看数据库下所有聚集名称 db.collection_names() 插入记录 collection.insert({ "key1": "value1", "key2", "value2"}) 删除记录 　全部删除

MongoDB与pymongo

由 别等时光非礼了梦想. 提交于 2019-12-21 10:39:44
首先，必须确认以下环境已经安装： 1. Python 2. MongoDB 3. pymongo 导入模块 import pymongo 使用MongoClient连接MongoDB from pymongo import MongoClient client = MongoClient(host, port) 引用MongoClient来创建数据库连接实例。在MongoDB中，默认的host和port如下： client = MongoClient('localhost', 27017) 或者使用MongoDB的URL来引用： client = MongoClient('mongodb://localhost:27017/') 连接MongoDB的一个数据库 任何一个连接实例都可以连接一个或者多个独立的数据库。这里默认已有一个名为test_db的数据库，下面是连接方法： database = client.test_database 或者当你的数据库名称不符合Python标准的时候，可以用： database = client['test-database'] 读取一个Collection Collection在这里的意思是一个存储在MongoDB中的文件集合，相当于关系型数据库中的table。具体方法和database一样： collection = db.test
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