redis-tq 0.0.11

Redis Based Task Queue

redis-tq

redis-tq is a Redis-based multi-producer, multi-consumer Queue. Allows for sharing data between multiple processes or hosts.

Tasks support a "lease time". After that time other workers may consider this client to have crashed or stalled and pick up the item instead. The number of retries can be configured as well.

Based on this example but with many improvements added.

Installing

redis-tq is available on PyPI so you can simply install via:

$ pip install redis-tq

How to use

On the producing side, populate the queue with tasks and a respective lease timeout:

from redistq import TaskQueue

tq = TaskQueue('localhost', 'myqueue')
for i in range(10):
    tq.add(some task, lease_timeout, ttl=3)

On the consuming side:

from redistq import TaskQueue

tq = TaskQueue('localhost', 'myqueue')
while True:
    task, task_id = tq.get()
    if task is not None:
        # do something with task and mark it as complete afterwards
        tq.complete(task_id)
    if tq.is_empty():
        break
    # tq.get is non-blocking, so you may want to sleep a
    # bit before the next iteration
    time.sleep(1)

If the consumer crashes (i.e. the task is not marked as completed after lease_timeout seconds), the task will be put back into the task queue. This rescheduling will happen at most ttl times and then the task will be dropped. A callback can be provided if you want to monitor such cases.

Running the tests

The tests will check the presence of a Redis instance on localhost, you can use

docker run --rm -d -p 6379:6379 redis

to get one. Then use make test, it will take care of creating an appropriate virtualenv and use it to run the tests.