This is an old question but stumbling across it, I don’t think the accepted answer answers the question. The question wasn’t “What is MongoEngine?” – it was “Why should I use MongoEngine?” And the advantages of such an approach. This goes beyond Django to Python/Mongo in general. My two cents: While both PyMongo and MongoEngine …
To exclude the _id field in a find query in pymongo, you can use: db.collection.find({}, {‘_id’: False}) The documentation is somewhat missleading on this as it says the _id field is always included. But you can exclude it like shown above.
Starting Mongo 4.0.3/PyMongo 3.7.0, we can use count_documents: if db.collection.count_documents({ ‘UserIDS’: newID }, limit = 1) != 0: # do something Used with the optional parameter limit, this provides a way to find if there is at least one matching occurrence. Limiting the number of matching occurrences makes the collection scan stop as soon as …
Use the create_index method where you pass in the keys as an array and TEXT as the index direction : collection.create_index([(‘field_i_want_to_index’, pymongo.TEXT)], name=”search_index”, default_language=”english”)
All you need is to actually install pymongo (currently you just have mongo and python, but they do not know how to speak with each other). This page is telling you exactly what to do: go to pymongo page download and run installer.
PyMongo 2.4 up to at least 3.11.4 from pymongo import MongoClient client = MongoClient(‘<HOST>’, <PORT>) client.drop_database(‘<DBNAME>’) PyMongo Stable documentation PyMongo 3.2.1 documentation PyMongo 2.3 and earlier from pymongo import Connection connection = Connection(‘<HOST>’, <PORT>) connection.drop_database(‘<DBNAME>’) PyMongo 2.3 documentation PyMongo 1.0 documentation
From mongodb docs You can $project the results to exclude the _id – is this what you mean? http://docs.mongodb.org/manual/reference/aggregation/#pipeline Note The _id field is always included by default. You may explicitly exclude _id as follows: db.article.aggregate( { $project : { _id : 0 , title : 1 , author : 1 }} ); From you’re …
You just need to store an instance of datetime.datetime. Inserting from the python shell: >>> c.test.test.insert({‘date’: datetime.datetime.utcnow()}) ObjectId(‘4e8b388367d5bd2de0000000′) >>> c.test.test.find_one() {u’date’: datetime.datetime(2011, 10, 4, 16, 46, 59, 786000), u’_id’: ObjectId(‘4e8b388367d5bd2de0000000’)} Querying in the mongo shell: > db.test.findOne() { “_id” : ObjectId(“4e8b388367d5bd2de0000000”), “date” : ISODate(“2011-10-04T16:46:59.786Z”) }
It’s actually as simple as len(list(cursor)) Note that it will however consume the cursor.
Please try something like this: client = MongoClient(“mongodb://user_name:user_password@SERVER_IP/prod-db”) db = client[‘prod-db’]