nydus 0.11.0
Connection utilities
License: Apache License 2.0

Nydus
=====

Generic database utilities, including connection clustering and routing so you can scale like a pro.

The following example creates a Redis connection cluster which will distribute reads and writes based on a simple modulus lookup of the hashed key:

.. code:: python

    from nydus.db import create_cluster

    redis = create_cluster({
        'backend': 'nydus.db.backends.redis.Redis',
        'router': 'nydus.db.routers.keyvalue.PartitionRouter',
        'hosts': {
            0: {'db': 0},
            1: {'db': 1},
            2: {'db': 2},
        }
    })

    res = redis.incr('foo')

    assert res == 1


nydus.db.create_cluster
-----------------------

The create_cluster function is a simple helper to configure a ``Cluster`` based on a simple dict config.

There are two required keyword arguments:

* ``backend``: full path to the backend class, which should extend ``nydus.db.backends.BaseConnection``.

* ``hosts``: a dictionary, where the key is an ordered numeric value, and the result is a dict of connection options.

  (the keys are numeric values simply for readability in configuration)

* ``defaults``: a dictionary of default settings for all hosts to inherit from.

Optionally, you may also specify a value for ``router``, which is the full path to the router class,
which must extend ``nydus.db.routers.BaseRouter``.

Distributed Queries
-------------------

In some cases you may want to execute a query on many nodes (in parallel). Nydus has built-in support for this when any routing function
returns a cluster of nodes:

.. code:: python

    from nydus.db import create_cluster
    >>>
    # by not specifying a router all queries are executed on all hosts
    redis = create_cluster({
        'backend': 'nydus.db.backends.redis.Redis',
        'hosts': {
            0: {'db': 0},
            1: {'db': 1},
            2: {'db': 2},
        }
    })
    >>>
    # map the query over all connections returned by the default router
    res = redis.incr('foo')
    >>>
    assert type(res) == list
    assert len(res) == 3

You can also map many queries (utilizing an internal queue) over connections (again, returned by the router):

.. code:: python

    with redis.map() as conn:
        results = [conn.incr(k) for k in keys]

As of release 0.5.0, the map() function now supports pipelines, and the included Redis backend will pipeline commands
wherever possible.

Redis
-----

Nydus was originally designed as a toolkit to expand on the usage of Redis at DISQUS. While it does provide
a framework for building clusters that are not Redis, much of the support has gone into providing utilities
for routing and querying on Redis clusters.

You can configure the Redis client for a connection by specifying it's full path:

.. code:: python

    redis = create_cluster({
        'backend': 'nydus.db.backends.redis.Redis',
        'hosts': {
            0: {'db': 0},
        },
    })

The available host options are:

* host
* port
* db
* timeout
* password
* identifier

The Redis client also supports pipelines via the map command. This means that all commands will hit servers at most
as of once:

.. code:: python

    with redis.map() as conn:
        conn.set('a', 1)
        conn.incr('a')
        results = [conn.get('a'), conn.get('b')]
    results['a'] == 2
    results['b'] == None

Simple Partition Router
~~~~~~~~~~~~~~~~~~~~~~~

There are also several options for builtin routing. The easiest is a simple partition router, which is just a simple
hash on the key:

.. code:: python

    redis = create_cluster({
        'backend': 'nydus.db.backends.redis.Redis',
        'router': 'nydus.db.routers.keyvalue.PartitionRouter',
        'hosts': {
            0: {'db': 0},
        },
    })

Consistent Hashing Router
~~~~~~~~~~~~~~~~~~~~~~~~~

An improvement upon hashing, Nydus provides a Ketama-based consistent hashing router:

.. code:: python

    redis = create_cluster({
        'backend': 'nydus.db.backends.redis.Redis',
        'router': 'nydus.db.routers.keyvalue.ConsistentHashingRouter',
        'hosts': {
            0: {'db': 0},
        },
    })

Round Robin Router
~~~~~~~~~~~~~~~~~~

An additional option for distributing queries is the round robin router:

.. code:: python

    redis = create_cluster({
        'backend': 'nydus.db.backends.redis.Redis',
        'router': 'nydus.db.routers.RoundRobinRouter',
        'hosts': {
            0: {'db': 0},
        },
    })

Pycassa
-------

Basic connection management for pycassa (Cassandra) clusters is supported, but we use a non-standard syntax
for creating clusters as routing behavior and per-connection options are not useful in this context:

.. code:: python

    pycassa = create_cluster({
        'backend': 'nydus.db.backends.pycassa.Pycassa',
        'hosts': ['localhost'],
        'keyspace': 'test',
    })

.. note:: Pycassa handles routing of hosts internally, which means things like ``map`` have no affect.