Comments (1)
Retry when updating tuple status already exists in case of MVCC conflicts. It is deactivated in dev mode. That could explain the above issue.
IMHO, we should have the same behaviour in dev and in prod regarding the retry mechanism. It would help us to catch other issues that we may encounter later in production.
from substra-backend.
Related Issues (20)
- Algo fetch: HTTP errors aren't displayed in the logs HOT 4
- Local setup (skaffold): Incorrect DNS assumptions
- Cannot launch using docker-compose HOT 1
- Error 500 when linking dataset with datasamples
- Error 400 when adding a dataset HOT 3
- single-node compute plan: worker tries to delete missing image HOT 2
- Chart not compatible with K8S >=1.16 HOT 1
- Document password requirements on the Helm chart values
- 502 when under load HOT 5
- [Edge case] Crash when composite traintuple head and trunk models are identifcal HOT 1
- Evicted training tasks pods are never deleted
- Serializers for the CompositeTraintuple are not consistent (single vs compute plan)
- Can't get a stable deployment using line 0.7.1 of the compatibility table HOT 2
- authenticate_worker in Process has a strange behavior (not systematic)
- Ease the process to add extra volumes for local data registration HOT 2
- Add an auto-cleanup of old docker-registry images
- Is this project dead? HOT 1
- installation of backend with helm does not seem to work with microk8s HOT 1
- which backend url do I use to instantiate a Client? HOT 1
- BUG: container kaniko exit 1 Susbtra-backend crash HOT 3
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from substra-backend.