Jump to solution
Verify

The Fix

pip install celery==5.1.1

Based on closed celery/celery issue #6793 · PR/commit linked

Production note: This usually shows up under retries/timeouts. Treat it as a side-effect risk until you can verify behavior with a canary + real traffic.

Jump to Verify Open PR/Commit
@@ -523,11 +523,12 @@ def on_failure(self, exc_info, send_failed_event=True, return_ok=False): # is terminated, we aborted it. # Otherwise, it is revoked. - if self.message.channel.connection and not self._already_revoked: + if self.message.channel.connection: # This is a special case where the process
repro.py
import threading import time from celery import Celery app = Celery('celery_revoke_retry', broker='redis://localhost:6379/0', backend='redis://localhost:6379/0') app.conf.update(worker_concurrency=1) @app.task def sleep(sleep_time): time.sleep(sleep_time) def main(): argv = ['--app=celery_revoke_retry', 'worker', '--loglevel=DEBUG'] threading.Thread(target=app.worker_main, args=(argv,)).start() time.sleep(5) print('Celery should be up now') r = sleep.s(sleep_time=60).apply_async() # Note: waiting for the task to start before revoking it will still cause result.state == RETRY r.revoke(terminate=True) for _ in range(5): print(f"State is: {r.state}") time.sleep(1) if __name__ == '__main__': main()
verify
Re-run the minimal reproduction on your broken version, then apply the fix and re-run.
fix.md
Option A — Upgrade to fixed release\npip install celery==5.1.1\nWhen NOT to use: This fix should not be applied if the task's behavior is expected to change upon revocation.\n\n

Why This Fix Works in Production

  • Trigger: - [x] I have included all related issues and possible duplicate issues
  • Mechanism: The task state incorrectly transitions to RETRY instead of REVOKED when revoked with terminate=True
  • Why the fix works: Fix for revoked tasks being moved to RETRY state. (first fixed release: 5.1.1).
Production impact:
  • If left unfixed, this can cause silent data inconsistencies that propagate (bad cache entries, incorrect downstream decisions).

Why This Breaks in Prod

  • The task state incorrectly transitions to RETRY instead of REVOKED when revoked with terminate=True
  • Production symptom (often without a traceback): - [x] I have included all related issues and possible duplicate issues

Proof / Evidence

  • GitHub issue: #6793
  • Fix PR: https://github.com/celery/celery/pull/6812
  • First fixed release: 5.1.1
  • Reproduced locally: No (not executed)
  • Last verified: 2026-02-09
  • Confidence: 0.75
  • Did this fix it?: Yes (upstream fix exists)
  • Own content ratio: 0.49

Discussion

High-signal excerpts from the issue thread (symptoms, repros, edge-cases).

“Hey @djungic :wave:, Thank you for opening an issue”
@open-collective-bot · 2021-05-31 · source
“The state only becomes RETRY when terminate=True is supplied to revoke. Otherwise the state does not become REVOKED and just stays the same (e.g. PENDING…”
@djungic · 2021-05-31 · source
“It does not reproduce in 5.0.5. The example script prints REVOKED, as expected.”
@djungic · 2021-06-01 · source
“Seems line 526 here might be the culprit: (https://github.com/celery/celery/commit/934a2271c1636364486eb737a598d224e5184cf8#diff-db65a0e57511553adc360b2e485e25b09e0768b47d76d4e48147ab99994dbbb9R526) Should this be:”
@leomermelstein · 2021-06-01 · source

Failure Signature (Search String)

  • - [x] I have included all related issues and possible duplicate issues
  • or possible duplicates to this issue as requested by the checklist above.
Copy-friendly signature
signature.txt
Failure Signature ----------------- - [x] I have included all related issues and possible duplicate issues or possible duplicates to this issue as requested by the checklist above.

Error Message

Signature-only (no traceback captured)
error.txt
Error Message ------------- - [x] I have included all related issues and possible duplicate issues or possible duplicates to this issue as requested by the checklist above.

Minimal Reproduction

repro.py
import threading import time from celery import Celery app = Celery('celery_revoke_retry', broker='redis://localhost:6379/0', backend='redis://localhost:6379/0') app.conf.update(worker_concurrency=1) @app.task def sleep(sleep_time): time.sleep(sleep_time) def main(): argv = ['--app=celery_revoke_retry', 'worker', '--loglevel=DEBUG'] threading.Thread(target=app.worker_main, args=(argv,)).start() time.sleep(5) print('Celery should be up now') r = sleep.s(sleep_time=60).apply_async() # Note: waiting for the task to start before revoking it will still cause result.state == RETRY r.revoke(terminate=True) for _ in range(5): print(f"State is: {r.state}") time.sleep(1) if __name__ == '__main__': main()

What Broke

Tasks incorrectly transition to RETRY state instead of being marked as REVOKED, causing confusion.

Why It Broke

The task state incorrectly transitions to RETRY instead of REVOKED when revoked with terminate=True

Fix Options (Details)

Option A — Upgrade to fixed release Safe default (recommended)

pip install celery==5.1.1

When NOT to use: This fix should not be applied if the task's behavior is expected to change upon revocation.

Use when you can deploy the upstream fix. It is usually lower-risk than long-lived workarounds.

Fix reference: https://github.com/celery/celery/pull/6812

First fixed release: 5.1.1

Last verified: 2026-02-09. Validate in your environment.

Get updates

We publish verified fixes weekly. No spam.

Subscribe

When NOT to Use This Fix

  • This fix should not be applied if the task's behavior is expected to change upon revocation.

Verify Fix

verify
Re-run the minimal reproduction on your broken version, then apply the fix and re-run.

Did This Fix Work in Your Case?

Quick signal helps us prioritize which fixes to verify and improve.

Prevention

  • Capture the exact failing error string in logs and tests so you can reproduce via a minimal script.
  • Pin production dependencies and upgrade only with a reproducible test that hits the failing path.

Version Compatibility Table

VersionStatus
5.1.1 Fixed

Related Issues

No related fixes found.

Sources

We don’t republish the full GitHub discussion text. Use the links above for context.