DynamoDB is a minimalistic NoSQL engine provided by Amazon as a part of their AWS product.
DynamoDB is great in production environement but sucks when testing your application. Tables needs roughtly 1 min to be created, deleted or updated. Items operation rates depends on how much you pay and tests will conflict if 2 developers run them at the same time.
ddbmock brings a tiny in-memory(tm) implementation of DynamoDB API. It can either be run as a stand alone server or as a regular library helping you to build lightning fast unit and functional tests :)
ddbmock does not intend to be production ready. It will loose you data. you’ve been warned! I currently recommend the “boto extension” mode for unit-tests and the “server” mode for functional tests.
$ pip install ddbmock
Ideal for test environment. For stage and production I highly recommend using DynamoDB servers. ddbmock comes with no warranty and will loose your data(tm).
$ pserve development.ini # launch the server on 0.0.0.0:6543
import boto
from ddbmock import connect_ddbmock
# Use the provided helper to connect your *own* endpoint
db = connect_ddbmock()
# Done ! just use it wherever in your project as usual.
db.list_tables() # get list of tables (empty at this stage)
Note: if you do not want to import ddbmock only for the helper, here is a reference implementation:
def connect_ddbmock(host='localhost', port=6543):
import boto
from boto.regioninfo import RegionInfo
endpoint = '{}:{}'.format(host, port)
region = RegionInfo(name='ddbmock', endpoint=endpoint)
return boto.connect_dynamodb(region=region, port=port, is_secure=False)
Ideal for unit testing or small scale automated functional tests. Nice to play around with boto DynamoDB API too :)
import boto
from ddbmock import connect_boto
# Wire-up boto and ddbmock together
db = connect_boto()
# Done ! just use it wherever in your project as usual.
db.list_tables() # get list of tables (empty at this stage)