Metadata-Version: 1.1
Name: ddbmock
Version: 0.3.2
Summary: Amazon DynamoDB mock implementation
Home-page: https://bitbucket.org/Ludia/dynamodb-mock
Author: Jean-Tiare Le Bigot
Author-email: jtlebigot@socialludia.com
License: UNKNOWN
Description: ddbmock -- a DynamoDB mock implementation.
        
        Presentation
        ============
        
        `DynamoDB <http://aws.amazon.com/dynamodb/>`_ is a minimalistic NoSQL engine
        provided by Amazon as a part of their AWS product.
        
        **DynamoDB** allows you to store documents composed of unicode, number or binary
        data as well are sets. Each tables must define a ``hash_key`` and may define a
        ``range_key``. All other fields are optional.
        
        **DynamoDB** is really awesome but is terribly slooooow with managment tasks.
        This makes it completly unusable in test environements
        
        **ddbmock** brings a nice, tiny, in-memory implementation of DynamoDB along with
        much better and detailed error messages. Among its niceties, it features a double
        entry point:
        
         - regular network based entry-point with 1:1 correspondance with stock DynamoDB
         - **embeded entry-point** with seamless boto intergration 1, ideal to avoid spinning yet another server.
        
        What is/will ddbmock be useful for ?
        ====================================
        
        - running unit test FAST. DONE
        - running functional test FAST. DONE
        - experiment with DynamoDB API. DONE
        - plan Throughput usage. WIP (low level foundation done)
        - plan actual storage space requirements. DONE (describe table returns accurate size !)
        - perform simulations with accurate limitations. Even some undocumented "features" are accurate :)
        
        Current status
        ==============
        
        ddbmock is an experimental project and is currently under heavy development. It
        also may be discontinued at *any* time.
        
        - support full table life-cycle
        - support full item life-cycle
        - support for all item limitations
        - accurate size and date reporting
        - ``Query``, ``Scan``, ``BatchGetItem`` and ``BatchWriteItem`` support is preliminary
        - no limits on concurent table operations
        - no limits for request/response size nor item count in those
        
        See http://ddbmock.readthedocs.org/en/latest/pages/status.html for detailed
        up-to-date status.
        
        Example usage
        =============
        
        Run as Regular client-server
        ----------------------------
        
        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)**.
        
        Launch the server
        
        ::
        
            $ pserve development.ini # launch the server on 0.0.0.0:6543
        
        Start the client
        
        ::
        
            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)
        
        Run as a standalone library
        ---------------------------
        
        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)
        
        
        Requirements
        ============
        
         - Python 2.7.x
         - Pyramid >= 1.3
         - Boto >= 2.5.0 (optional)
         - **NO** AWS account :)
        
        Related Links
        =============
        
        ddbmock
        -------
        
        - **Full documentation**: https://ddbmock.readthedocs.org/en/latest
        - **Report bugs**: https://bitbucket.org/Ludia/dynamodb-mock/issues
        - **Download**: http://pypi.python.org/pypi/ddbmock
        
        Dynamodb-mapper
        ---------------
        
        - **Full documentation**: http://dynamodb-mapper.readthedocs.org/en/latest/
        - **Report bugs**: https://bitbucket.org/Ludia/dynamodb-mapper/issues
        - **Download**: http://pypi.python.org/pypi/dynamodb-mapper
        
        Boto
        ----
        
        - **Full documentation**: http://docs.pythonboto.org/en/latest/index.html
        - **Report bugs**: https://github.com/boto/boto/issues
        - **Download**: http://pypi.python.org/pypi/boto
        
        
Keywords: pyramid dynamodb mock
Platform: UNKNOWN
Classifier: Topic :: Internet
Classifier: Topic :: Database :: Database Engines/Servers
Classifier: Topic :: Education :: Testing
Classifier: Topic :: Software Development :: Testing
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 3 - Alpha
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2.7
Classifier: License :: OSI Approved :: GNU Library or Lesser General Public License (LGPL)
