aruraghuwanshi opened a new pull request, #18:
URL: https://github.com/apache/druid-operator/pull/18
## Summary
This PR adds an opt-in MiddleManager drain rollout strategy for Druid
clusters.
When `spec.middleManagerDrainStrategy` is set, the operator drains each
MiddleManager StatefulSet pod before allowing Kubernetes to replace it during a
rolling update. This reduces the chance of interrupting active Kafka/Kinesis
ingestion tasks during MiddleManager upgrades.
## What Changed
- Added `spec.middleManagerDrainStrategy` as a pointer-presence CRD option:
- omitted: standard StatefulSet rolling behavior
- present: operator-managed MiddleManager drain rollout
- Added `status.middleManagerDrain` to expose rollout progress and support
recovery after operator restarts.
- Implemented a drain state machine that:
- blocks automatic StatefulSet rollout with partition control
- selects one outdated MiddleManager pod at a time
- disables the worker via the Druid Overlord API
- discovers running tasks through Druid SQL
- triggers supervisor task-group handoff
- waits for ingestion tasks to drain
- releases one pod for replacement
- waits for the replacement pod to be ready on the new revision
- re-enables the worker
- Added configurable timeouts:
- `drainTimeout`, default `1h`
- `podReadyTimeout`, default `30m`
- Reused existing upstream Router discovery and `spec.auth` Druid API
credential plumbing.
- Added URL path escaping and worker hostname validation around Druid
API/SQL calls.
- Documented the feature in `docs/features.md` and `docs/druid_cr.md`.
- Regenerated CRDs, deepcopy code, and API docs.
## Example
```yaml
spec:
rollingDeploy: true
middleManagerDrainStrategy:
drainTimeout: 1h
podReadyTimeout: 30m
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