| name | django-q2 |
| description | Use when adding, changing, testing, or debugging Django Q2 background tasks, scheduled jobs, qcluster workers, Redis broker configuration, or ORM broker fallback in this generated Django SaaS app. |
Django Q2 Background Jobs
Use this before touching task enqueueing, schedules, worker deployment,
Q_CLUSTER, or code imported by Django Q2 workers.
Project Defaults
- The dependency is
django-q2; the Python import path is django_q.
django_q is in INSTALLED_APPS; its migrations provide task result,
schedule, and broker models.
Q_CLUSTER lives in the generated Django settings module and uses Redis
through REDIS_URL by default.
Q_CLUSTER["name"] comes from Q_CLUSTER_NAME, which defaults to
<LOCAL_INSTANCE_ID>-q. Keep web and worker processes on the same value.
- The worker process is
uv run --no-sync python manage.py qcluster; the local
workers Docker Compose service and deployment APP_PROCESS_TYPE=worker
path use that command.
- Redis also backs the default Django cache. If you remove Redis as the broker,
review cache, health check, Docker, deployment, and documentation references
separately.
Mental Model
- Web code calls
async_task(...) or creates Schedule rows.
- The broker stores queued task packages until a
qcluster process reserves
work.
- Worker processes execute importable Python functions and save results or
failures.
- The scheduler runs inside the cluster. Schedules are database rows; they do
nothing unless
qcluster is running.
Adding Tasks
- Put the task function in the app that owns the behavior, usually
apps/core/tasks.py for shared product work.
- Keep the function importable at module import time. Do not rely on request
objects, local closures, or process-local state.
- Pass durable identifiers such as primary keys, not model instances, open
files, connections, or large payloads.
- Make the task idempotent. Redis does not give exactly-once execution
guarantees, and receipt-based brokers can re-run work.
- If the task depends on a just-saved database row, enqueue it from
transaction.on_commit(...).
def send_welcome_email(user_id: int) -> None:
from django.contrib.auth import get_user_model
user = get_user_model().objects.get(pk=user_id)
...
from django.db import transaction
from django_q.tasks import async_task
transaction.on_commit(
lambda: async_task("apps.core.tasks.send_welcome_email", user.pk)
)
Use q_options when Django Q2 options would collide with task kwargs:
async_task(
"apps.core.tasks.rebuild_report",
report_id,
q_options={"timeout": 300, "group": "reports"},
)
Scheduling Work
Prefer named, idempotent schedules created by a migration, admin action, or
setup command. Avoid creating schedules unconditionally at import time or app
startup.
from django_q.models import Schedule
Schedule.objects.get_or_create(
name="clear-expired-sessions",
defaults={
"func": "django.core.management.call_command",
"args": "'clearsessions'",
"schedule_type": Schedule.HOURLY,
},
)
Use Schedule.objects.get_or_create(name=..., defaults={...}) when seeding
schedules so repeated setup does not duplicate jobs. Cron schedules require the
optional croniter dependency; do not use Schedule.CRON unless the generated
project includes it.
Missed schedules catch up by default. Set Q_CLUSTER["catch_up"] = False when
a job should run once after downtime instead of replaying every missed interval.
Broker Choices
Redis Broker
This template should normally use Redis:
Q_CLUSTER = {
"name": "...",
"timeout": 3600,
"workers": 4,
"redis": REDIS_URL,
"ALT_CLUSTERS": {},
}
Redis is fast and matches local Docker, deployment workers, and the default
cache configuration. The default Redis broker does not support delivery
receipts. If a worker host dies catastrophically while executing a task, the
in-flight package can be lost; if task code raises, Django Q2 records a
failure. Use idempotent task design, explicit retries in task code where
needed, and monitoring for failures.
When two same-slug clones intentionally share one Redis service, set unique
LOCAL_INSTANCE_ID, CACHE_KEY_PREFIX, and Q_CLUSTER_NAME values per clone.
Do not let two unrelated repos share the same cluster name.
ORM Broker
Use the Django database broker only for low-throughput deployments, local
simplicity, or environments where Redis is unavailable:
Q_CLUSTER = {
"name": "...",
"timeout": 3600,
"retry": 4800,
"workers": 4,
"max_attempts": 2,
"orm": "default",
"ALT_CLUSTERS": {},
}
When switching to ORM:
- Remove the
"redis" broker key; configure one broker per cluster unless you
intentionally use custom clusters.
- Run migrations for
django_q. If the broker uses a non-default database
alias, run migrations with --database <alias>.
- Increase
"poll" above the default 0.2 seconds, for example "poll": 2.0,
when you need lower database polling pressure and can tolerate higher queue
pickup latency.
- The ORM broker enables the Queued Tasks admin table.
- Review Redis-dependent cache, health check, Docker, and deployment settings
separately. Schedules are always database rows; the broker setting controls
queued task packages, not the schedule table.
Testing
- Test task business logic by calling the function directly.
- Test enqueueing with synchronous mode:
- per call:
async_task("apps.core.tasks.fn", arg, sync=True)
- per test: override
Q_CLUSTER["sync"] = True
- For worker/broker integration, run
uv run --no-sync python manage.py qcluster in a separate process and wait
for result(task_id, 200) or a similar bounded wait; do not rely on
arbitrary sleeps.
- Use
pytest.mark.django_db(transaction=True) when a real worker process must
observe committed database rows.
Debugging Checklist
- Is a
qcluster process running with the same settings module, SECRET_KEY,
broker URL, and cluster name as the web process?
- Can the worker import the dotted task path?
- Did database migrations run, including
django_q migrations?
- Is Redis reachable from both web and worker containers, or is the ORM broker
polling the expected database?
- Did a scheduled task duplicate because setup created another
Schedule row
with no stable name?
- Did downtime trigger schedule catch-up?
- Is task failure visible in Django admin, logs, or the configured error
reporter?
References