Taskiq-redis is a plugin for taskiq that adds a new broker and result backend based on redis.
To use this project you must have installed core taskiq library:
pip install taskiq
This project can be installed using pip:
pip install taskiq-redis
Let's see the example with the redis broker and redis async result:
# broker.py
import asyncio
from taskiq_redis import ListQueueBroker, RedisAsyncResultBackend
redis_async_result = RedisAsyncResultBackend(
redis_url="redis://localhost:6379",
)
# Or you can use PubSubBroker if you need broadcasting
broker = ListQueueBroker(
url="redis://localhost:6379",
result_backend=redis_async_result,
)
@broker.task
async def best_task_ever() -> None:
"""Solve all problems in the world."""
await asyncio.sleep(5.5)
print("All problems are solved!")
async def main():
task = await best_task_ever.kiq()
print(await task.wait_result())
if __name__ == "__main__":
asyncio.run(main())
Launch the workers:
taskiq worker broker:broker
Then run the main code:
python3 broker.py
This package contains 6 broker implementations. 3 broker types:
- PubSub broker
- ListQueue broker
- Stream broker
Each of type is implemented for each redis architecture:
- Single node
- Cluster
- Sentinel
Here's a small breakdown of how they differ from eachother.
By default on old redis versions PUBSUB was the way of making redis into a queue. But using PUBSUB means that all messages delivered to all subscribed consumers.
Warning
This broker doesn't support acknowledgements. If during message processing Worker was suddenly killed the message is going to be lost.
This broker creates a list of messages at some key. Adding new tasks will be done
by appending them from the left side using lpush
, and taking them from the right side using brpop
.
Warning
This broker doesn't support acknowledgements. If during message processing Worker was suddenly killed the message is going to be lost.
Stream brokers use redis stream type to store and fetch messages.
Tip
This broker supports acknowledgements and therefore is fine to use in cases when data durability is required.
RedisAsyncResultBackend parameters:
redis_url
- url to redis.keep_results
- flag to not remove results from Redis after reading.result_ex_time
- expire time in seconds (by default - not specified)result_px_time
- expire time in milliseconds (by default - not specified)- Any other keyword arguments are passed to
redis.asyncio.BlockingConnectionPool
. Notably, you can usetimeout
to set custom timeout in seconds for reconnects (or set it toNone
to try reconnects indefinitely).
Warning
It is highly recommended to use expire time in RedisAsyncResultBackend
If you want to add expiration, either result_ex_time
or result_px_time
must be set.
# First variant
redis_async_result = RedisAsyncResultBackend(
redis_url="redis://localhost:6379",
result_ex_time=1000,
)
# Second variant
redis_async_result = RedisAsyncResultBackend(
redis_url="redis://localhost:6379",
result_px_time=1000000,
)