Merge pull request #75 from Koed00/dev

Adds MongoDB broker
This commit is contained in:
Ilan Steemers
2015-09-26 18:12:57 +02:00
17 changed files with 215 additions and 12 deletions
+1
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@@ -2,6 +2,7 @@ language: python
services:
- redis-server
- mongodb
python:
- "2.7"
+2 -1
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@@ -20,7 +20,7 @@ Features
- Django Admin integration
- PaaS compatible with multiple instances
- Multi cluster monitor
- Redis, Disque, IronMQ, SQS or ORM
- Redis, Disque, IronMQ, SQS, MongoDB or ORM
- Python 2 and 3
Requirements
@@ -39,6 +39,7 @@ Brokers
- `Disque <https://django-q.readthedocs.org/en/latest/brokers.html#disque>`__
- `IronMQ <https://django-q.readthedocs.org/en/latest/brokers.html#ironmq>`__
- `Amazon SQS <https://django-q.readthedocs.org/en/latest/brokers.html#amazon-sqs>`__
- `MongoDB <https://django-q.readthedocs.org/en/latest/brokers.html#mongodb>`__
- `Django ORM <https://django-q.readthedocs.org/en/latest/brokers.html#django-orm>`__
Installation
+5 -1
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@@ -7,6 +7,7 @@ class Broker(object):
self.connection = self.get_connection(list_key)
self.list_key = list_key
self.cache = self.get_cache()
self._info = None
def enqueue(self, task):
"""
@@ -78,7 +79,7 @@ class Broker(object):
"""
Shows the broker type
"""
pass
return self._info
def set_stat(self, key, value, timeout):
"""
@@ -167,6 +168,9 @@ def get_broker(list_key=Conf.PREFIX):
elif Conf.ORM:
from brokers import orm
return orm.ORM(list_key=list_key)
elif Conf.MONGO:
from brokers import mongo
return mongo.Mongo(list_key=list_key)
# default to redis
else:
from brokers import redis_broker
+4 -2
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@@ -40,8 +40,10 @@ class Disque(Broker):
return len(jobs)
def info(self):
info = self.connection.info('server')
return 'Disque {}'.format(info['disque_version'])
if not self._info:
info = self.connection.info('server')
self._info= 'Disque {}'.format(info['disque_version'])
return self._info
@staticmethod
def get_connection(list_key=Conf.PREFIX):
+73
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@@ -0,0 +1,73 @@
from datetime import timedelta
from time import sleep
from bson import ObjectId
from django.utils import timezone
from pymongo import MongoClient
from pymongo.errors import ConfigurationError
from django_q.brokers import Broker
from django_q.conf import Conf
def _timeout():
return timezone.now() - timedelta(seconds=Conf.RETRY)
class Mongo(Broker):
def __init__(self, list_key=Conf.PREFIX):
super(Mongo, self).__init__(list_key)
self.collection = self.get_collection()
@staticmethod
def get_connection(list_key=Conf.PREFIX):
return MongoClient(**Conf.MONGO)
def get_collection(self):
if not Conf.MONGO_DB:
try:
Conf.MONGO_DB = self.connection.get_default_database().name
except ConfigurationError:
Conf.MONGO_DB = 'django-q'
return self.connection[Conf.MONGO_DB][self.list_key]
def queue_size(self):
return self.collection.count({'lock': {'$lte': _timeout()}})
def lock_size(self):
return self.collection.count({'lock': {'$gt': _timeout()}})
def purge_queue(self):
return self.delete_queue()
def ping(self):
return self.info is not None
def info(self):
if not self._info:
self._info = 'MongoDB {}'.format(self.connection.server_info()['version'])
return self._info
def fail(self, task_id):
self.delete(task_id)
def enqueue(self, task):
inserted_id = self.collection.insert_one({'payload': task, 'lock': _timeout()}).inserted_id
return str(inserted_id)
def dequeue(self):
task = self.collection.find_one_and_update({'lock': {'$lte': _timeout()}}, {'$set': {'lock': timezone.now()}})
if task:
return [(str(task['_id']), task['payload'])]
# empty queue, spare the cpu
sleep(0.2)
def delete_queue(self):
return self.collection.drop()
def delete(self, task_id):
self.collection.delete_one({'_id': ObjectId(task_id)})
def acknowledge(self, task_id):
return self.delete(task_id)
+4 -2
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@@ -21,7 +21,7 @@ class ORM(Broker):
return self.connection.filter(key=self.list_key, lock__lte=_timeout()).count()
def lock_size(self):
return self.connection.filter(key=self.list_key, lock__gte=_timeout()).count()
return self.connection.filter(key=self.list_key, lock__gt=_timeout()).count()
def purge_queue(self):
return self.connection.filter(key=self.list_key).delete()
@@ -30,7 +30,9 @@ class ORM(Broker):
return True
def info(self):
return 'ORM {}'.format(Conf.ORM)
if not self._info:
self._info = 'ORM {}'.format(Conf.ORM)
return self._info
def fail(self, task_id):
self.delete(task_id)
+5 -3
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@@ -1,4 +1,5 @@
import redis
from django_q.brokers import Broker
from django_q.conf import Conf, logger
@@ -9,7 +10,6 @@ except ImportError:
class Redis(Broker):
def __init__(self, list_key=Conf.PREFIX):
super(Redis, self).__init__(list_key='django_q:{}:q'.format(list_key))
@@ -38,8 +38,10 @@ class Redis(Broker):
raise e
def info(self):
info = self.connection.info('server')
return 'Redis {}'.format(info['redis_version'])
if not self._info:
info = self.connection.info('server')
self._info = 'Redis {}'.format(info['redis_version'])
return self._info
def set_stat(self, key, value, timeout):
self.connection.set(key, value, timeout)
+4
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@@ -50,6 +50,10 @@ class Conf(object):
# ORM broker
ORM = conf.get('orm', None)
# MongoDB broker
MONGO = conf.get('mongo', None)
MONGO_DB = conf.get('mongo_db', None)
# Name of the cluster or site. For when you run multiple sites on one redis server
PREFIX = conf.get('name', 'default')
+61
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@@ -285,3 +285,64 @@ def test_orm():
assert broker.queue_size() == 0
# back to django-redis
Conf.ORM = None
@pytest.mark.django_db
def test_mongo():
Conf.MONGO = {'host': '127.0.0.1', 'port': 27017}
# check broker
broker = get_broker(list_key='mongo_test')
assert broker.ping() is True
assert broker.info() is not None
# clear before we start
broker.delete_queue()
# enqueue
broker.enqueue('test')
assert broker.queue_size() == 1
# dequeue
task = broker.dequeue()[0]
assert task[1] == 'test'
broker.acknowledge(task[0])
assert broker.queue_size() == 0
# Retry test
Conf.RETRY = 1
broker.enqueue('test')
assert broker.queue_size() == 1
broker.dequeue()
assert broker.queue_size() == 0
sleep(1.5)
assert broker.queue_size() == 1
task = broker.dequeue()[0]
assert broker.queue_size() == 0
broker.acknowledge(task[0])
sleep(1.5)
assert broker.queue_size() == 0
# delete job
task_id = broker.enqueue('test')
broker.delete(task_id)
assert broker.dequeue() is None
# fail
task_id = broker.enqueue('test')
broker.fail(task_id)
# bulk test
for i in range(5):
broker.enqueue('test')
tasks = []
for i in range(5):
tasks.append(broker.dequeue()[0])
assert broker.lock_size() == 5
for task in tasks:
assert task is not None
broker.acknowledge(task[0])
# test lock size
assert broker.lock_size() == 0
# test duplicate acknowledge
broker.acknowledge(task[0])
# delete queue
broker.enqueue('test')
broker.enqueue('test')
broker.purge_queue()
broker.delete_queue()
assert broker.queue_size() == 0
# back to django-redis
Conf.ORM = None
+1
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@@ -33,6 +33,7 @@ def broker():
Conf.IRON_MQ = None
Conf.SQS = None
Conf.ORM = None
Conf.MONGO = None
Conf.DJANGO_REDIS = 'default'
return get_broker()
+14 -1
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@@ -2,7 +2,7 @@ Brokers
=======
The broker sits between your Django instances and your Django Q cluster instances; accepting, saving and delivering task packages.
Currently we support a variety of brokers from the default Redis, bleeding edge Disque to the convenient Amazon SQS.
Currently we support a variety of brokers from the default Redis, bleeding edge Disque to the convenient ORM and fast MongoBD.
The default Redis broker does not support message receipts.
This means that in case of a catastrophic failure of the cluster server or worker timeouts, tasks that were being executed get lost.
@@ -73,6 +73,18 @@ Although `SQS <https://aws.amazon.com/sqs/>`__ is not the fastest, it is stable,
* Requires the `boto3 <https://github.com/boto/boto3>`__ client library: ``pip install boto3``
* See the :ref:`sqs_configuration` configuration section for options.
MongoDB
-------
This highly scalable NoSQL database makes for a very fast and reliably persistent at-least-once message broker.
Usually available on most PaaS providers, as `open-source <https://www.mongodb.org/>`__ or commercial `enterprise <https://www.mongodb.com/lp/download/mongodb-enterprise>`__ edition.
* Delivery receipts
* Needs Django's `Cache framework <https://docs.djangoproject.com/en/1.8/topics/cache/#setting-up-the-cache>`__ configured for monitoring
* Can be configured as the Django cache-backend through several open-source cache providers.
* Requires the `pymongo <https://github.com/mongodb/mongo-python-driver>`__ driver: ``pip install pymongo``
* See the :ref:`mongo_configuration` configuration section for options.
.. _orm_broker:
Django ORM
@@ -84,6 +96,7 @@ However for a medium message rate and scheduled tasks, this is the most convenie
* Delivery receipts
* Supports bulk dequeue
* Needs Django's `Cache framework <https://docs.djangoproject.com/en/1.8/topics/cache/#setting-up-the-cache>`__ configured for monitoring
* Can be `configured <https://docs.djangoproject.com/en/1.8/topics/cache/#database-caching>`__ as its own cache backend.
* Queue editable in Django Admin
* See the :ref:`orm_configuration` configuration on how to set it up.
+29 -1
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@@ -264,6 +264,34 @@ Using the Django ORM backend will also enable the Queued Tasks table in the Admi
If you need better performance , you should consider using a different database backend than the main project.
Set ``orm`` to the name of that database connection and make sure you run migrations on it using the ``--database`` option.
.. _mongo_configuration:
mongo
~~~~~
To use MongoDB as a message broker you simply provide the connection information in a dictionary::
# example MongoDB broker connection
Q_CLUSTER = {
'name': 'MongoDB',
'workers': 8,
'timeout': 60,
'retry': 70,
'queue_limit': 100,
'mongo': {
'host': '127.0.0.1',
'port': 27017
}
}
The ``mongo`` dictionary can contain any of the parameters exposed by pymongo's `MongoClient <https://api.mongodb.org/python/current/api/pymongo/mongo_client.html#pymongo.mongo_client.MongoClient>`__
If you want to use a mongodb uri, you can supply it as the ``host`` parameter.
mongo_db
~~~~~~~~
When using the MongoDB broker you can optionally provide a database name to use for the queues.
Defaults to default database if available, otherwise ``django-q``
.. _bulk:
bulk
@@ -273,7 +301,7 @@ Especially HTTP based or very high latency servers can benefit from bulk dequeue
Keep in mind however that settings this too high can degrade performance with multiple clusters or very large task packages.
Not supported by the default Redis broker.
Defaults to 1.
Defaults to ``1``.
cache
~~~~~
+1 -1
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@@ -20,7 +20,7 @@ Features
- Django Admin integration
- PaaS compatible with multiple instances
- Multi cluster monitor
- Redis, Disque, IronMQ, SQS or ORM
- Redis, Disque, IronMQ, SQS, MongoDB or ORM
- Python 2 and 3
+5
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@@ -68,10 +68,15 @@ Optional
$ pip install iron-mq
- `Pymongo <https://github.com/mongodb/mongo-python-driver>`__ is needed if you want to use MongoDB as a message broker::
$ pip install pymongo
- `Redis <http://redis.io/>`__ server is the default broker for Django Q. It provides the best performance and does not require Django's cache framework for monitoring.
- `Disque <https://github.com/antirez/disque>`__ server is based on Redis by the same author, but focuses on reliable queues. Currently in Alpha, but highly recommended. You can either build it from source or use it on Heroku through the `Tynd <https://disque.tynd.co/>`__ beta.
- `MongoDB <https://www.mongodb.org/>`__ is a highly scalable NoSQL database which makes for a very fast and reliably persistent at-least-once message broker. Usually available on most PaaS providers.
Compatibility
-------------
+4
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@@ -79,6 +79,10 @@ a single keyword dict named ``q_options``. This enables you to use these keyword
Please not that this will override any other option keywords.
.. note::
For tasks to be processed you will need to have a worker cluster running in the background using ``python manage.py qcluster``
or you need to configure Django Q to run in synchronous mode for testing using the :ref:`sync` option.
.. _groups:
Groups
+1
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@@ -8,3 +8,4 @@ psutil
django-redis
iron-mq
boto3
pymongo
+1
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@@ -19,6 +19,7 @@ iron-mq==0.7
jmespath==0.8.0 # via boto3, botocore
msgpack-python==0.4.6 # via django-redis
psutil==3.2.1
pymongo==3.0.3
python-dateutil==2.4.2 # via arrow, botocore, iron-core
redis==2.10.3
requests==2.7.0 # via iron-core