Skip to main content

Distributed Python job queue with asyncio and redis

Project description

SAQ

SAQ (Simple Async Queue) is a simple and performant job queueing framework built on top of asyncio and redis. It can be used for processing background jobs with workers. For example, you could use SAQ to schedule emails, execute long queries, or do expensive data analysis.

It uses aioredis >= 2.0.

It is similar to RQ and heavily inspired by ARQ. Unlike RQ, it is async and thus significantly faster if your jobs are async. Even if they are not, SAQ is still considerably faster due to lower overhead.

SAQ optionally comes with a simple UI for monitor workers and jobs.

SAQ Web UI

Install

# minimal install
pip install saq

# web + hiredis
pip install saq[web,hiredis]

Usage

usage: saq [-h] [--workers WORKERS] [--verbose] [--web]
           [--extra-web-settings EXTRA_WEB_SETTINGS]
           [--port PORT] [--check]
           settings

Start Simple Async Queue Worker

positional arguments:
  settings              Namespaced variable containing
                        worker settings eg: eg
                        module_a.settings

options:
  -h, --help            show this help message and exit
  --workers WORKERS     Number of worker processes
  --verbose, -v         Logging level: 0: ERROR, 1: INFO,
                        2: DEBUG
  --web                 Start web app. By default, this
                        only monitors the current
                        worker's queue. To monitor
                        multiple queues, see '--extra-
                        web-settings'
  --extra-web-settings EXTRA_WEB_SETTINGS, -e EXTRA_WEB_SETTINGS
                        Additional worker settings to
                        monitor in the web app
  --port PORT           Web app port, defaults to 8080
  --check               Perform a health check

Example

import asyncio

from saq import CronJob, Queue

# all functions take in context dict and kwargs
async def test(ctx, *, a):
    await asyncio.sleep(0.5)
    # result should be json serializable
    # custom serializers and deserializers can be used through Queue(dump=,load=)
    return {"x": a}

async def cron(ctx):
  print("i am a cron job")

async def startup(ctx):
    ctx["db"] = await create_db()

async def shutdown(ctx):
    await ctx["db"].disconnect()

async def before_process(ctx):
    print(ctx["job"], ctx["db"])

async def after_process(ctx):
    pass

queue = Queue.from_url("redis://localhost")

settings = {
    "queue": queue,
    "functions": [test],
    "concurrency": 10,
    "cron_jobs": [CronJob(cron, cron="* * * * * */5")], # run every 5 seconds
    "startup": startup,
    "shutdown": shutdown,
    "before_process": before_process,
    "after_process": after_process,
}

To start the worker, assuming the previous is available in the python path

saq module.file.settings

To enqueue jobs

# schedule a job normally
job = await queue.enqueue("test", a=1)

# wait 1 second for the job to complete
await job.refresh(1)
print(job.results)

# run a job and return the result
print(await queue.apply("test", a=2))

# schedule a job in 10 seconds
await queue.enqueue("test", a=1, scheduled=time.time() + 10)

Demo

Start the worker

saq examples.simple.settings --web

Navigate to the web ui

Enqueue jobs

python examples/simple.py

Comparison to ARQ

SAQ is heavily inspired by ARQ but has several enhancements.

  1. Avoids polling by leveraging BLMOVE or RPOPLPUSH and NOTIFY
    1. SAQ has much lower latency than ARQ, with delays of < 5ms. ARQ's default polling frequency is 0.5 seconds
    2. SAQ is up to 8x faster than ARQ
  2. Web interface for monitoring queues and workers
  3. Heartbeat monitor for abandoned jobs
  4. More robust failure handling
    1. Storage of stack traces
    2. Sweeping stuck jobs
    3. Handling of cancelled jobs different from failed jobs (machine redeployments)
  5. Before and after job hooks
  6. Easily run multiple workers to leverage more cores

Development

python -m venv env
source env/bin/activate
pip install -e ".[dev,web]"
docker run -p 6379:6379 redis
./run_checks.sh

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

saq-0.7.0.tar.gz (40.9 kB view details)

Uploaded Source

Built Distribution

saq-0.7.0-py3-none-any.whl (38.2 kB view details)

Uploaded Python 3

File details

Details for the file saq-0.7.0.tar.gz.

File metadata

  • Download URL: saq-0.7.0.tar.gz
  • Upload date:
  • Size: 40.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for saq-0.7.0.tar.gz
Algorithm Hash digest
SHA256 18b2e329e9f82f1a60d158123a72385bae97c95ba3a5a074778423a1fd74352f
MD5 1d8e8189dd3703886249f2d3bb71597d
BLAKE2b-256 79a2a58fbc589e8ac6ae5a72fa2618f9e8c4e9b3c911c9581cd3aa732463fad2

See more details on using hashes here.

File details

Details for the file saq-0.7.0-py3-none-any.whl.

File metadata

  • Download URL: saq-0.7.0-py3-none-any.whl
  • Upload date:
  • Size: 38.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.10.4

File hashes

Hashes for saq-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 a9480821fb07206a251e8e4697d97523529065c7442bf4d2d754affba6a5cf99
MD5 b2a3ee70258f2761545a9ba71184f778
BLAKE2b-256 71b1d12797d73998c250378bfe17058a62b343d39ea1cc7a6e78cf903ee853cb

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page