Skip to content

Latest commit

 

History

History
72 lines (63 loc) · 2.86 KB

README.rst

File metadata and controls

72 lines (63 loc) · 2.86 KB

PyMongo

Info:See the mongo site for more information. See github for the latest source.
Author: Mike Dirolf <mike@10gen.com>

About

The PyMongo distribution contains tools for interacting with the Mongo database from Python. The pymongo package is a native Python driver for the Mongo database. The gridfs package is a gridfs implementation on top of pymongo.

Installation

If you have setuptools installed you should be able to do easy_install pymongo to install PyMongo. Otherwise you can download the project source and do python setup.py install to install.

Dependencies

The PyMongo distribution has been tested on Python 2.x, where x >= 3. On Python 2.3 the optional C extension will not be built. This will negatively affect performance, but everything should still work.

Additional dependencies are:

  • ElementTree (this is included with Python >= 2.5)
  • (to generate documentation) epydoc
  • (to auto-discover tests) nose

Examples

Here's a basic example (for more see the examples/ directory):

>>> from pymongo.connection import Connection
>>> connection = Connection("localhost", 27017)
>>> db = connection.test
>>> db.name()
u'test'
>>> db.my_collection
Collection(Database(Connection('localhost', 27017), u'test'), u'my_collection')
>>> db.my_collection.save({"x": 10})
ObjectId('D\x87\xdd\xe8\xd6\x0f\x89\xfc\xab\x06\xac\x8e')
>>> db.my_collection.save({"x": 8})
ObjectId('\xde\x0b\xec^\xdc\x11`\x12\xf8\xeb/\xcf')
>>> db.my_collection.save({"x": 11})
ObjectId('\t6\xc6\x07\xb3\xfc\x87\xc4\x82\x04\x0f\\')
>>> db.my_collection.find_one()
{u'x': 10, u'_id': ObjectId('D\x87\xdd\xe8\xd6\x0f\x89\xfc\xab\x06\xac\x8e')}
>>> for item in db.my_collection.find():
...     print item["x"]
...
10
8
11
>>> from pymongo import ASCENDING
>>> db.my_collection.create_index("x", ASCENDING)
u'x_1'
>>> for item in db.my_collection.find().sort("x", ASCENDING):
...     print item["x"]
...
8
10
11
>>> [item["x"] for item in db.my_collection.find().limit(2).skip(1)]
[8, 11]

Documentation

You will need epydoc installed to generate the documentation. Documentation can be generated by running python setup.py doc. Generated documentation can be found in the doc/ directory.

Testing

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.