Info: | See the mongo site for more information. See github for the latest source. |
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This is an unofficial port of PyMongo 2.0 to Python 3.1 or later. gridfs and its tests are not ported yet! bson and pymongo are working.
The PyMongo distribution contains tools for interacting with MongoDB database from Python. The bson
package is an implementation of the BSON format for Python. The pymongo
package is a native Python driver for MongoDB. The gridfs
package is a gridfs implementation on top of pymongo
.
Any issues with, questions about, or feedback for PyMongo should be sent to the mongodb-user list on Google Groups. For confirmed issues or feature requests, open a case on jira. Please do not e-mail any of the PyMongo developers directly with issues or questions - you're more likely to get an answer on the list.
You can download the project source and do python setup.py install to install.
PyMongo3 needs Python 3.x where x >= 1.
Additional dependencies are:
Here's a basic example (for more see the examples section of the docs):
>>> import pymongo >>> connection = pymongo.Connection("localhost", 27017) >>> db = connection.test >>> db.name 'test' >>> db.my_collection Collection(Database(Connection('localhost', 27017), 'test'), 'my_collection') >>> db.my_collection.save({"x": 10}) ObjectId('4aba15ebe23f6b53b0000000') >>> db.my_collection.save({"x": 8}) ObjectId('4aba160ee23f6b543e000000') >>> db.my_collection.save({"x": 11}) ObjectId('4aba160ee23f6b543e000002') >>> db.my_collection.find_one() {'x': 10, '_id': ObjectId('4aba15ebe23f6b53b0000000')} >>> for item in db.my_collection.find(): ... print(item["x"]) ... 10 8 11 >>> db.my_collection.create_index("x") 'x_1' >>> for item in db.my_collection.find().sort("x", pymongo.ASCENDING): ... print(item["x"]) ... 8 10 11 >>> [item["x"] for item in db.my_collection.find().limit(2).skip(1)] [8, 11]
You will need sphinx installed to generate the documentation. Documentation can be generated by running python setup.py doc. Generated documentation can be found in the doc/build/html/ directory.
The easiest way to run the tests is to install nose (easy_install nose) and run nosetests or python setup.py test in the root of the distribution. Tests are located in the test/ directory.