- Extract ADR documents for architectural decisions (SQLite, FastAPI, React, APScheduler, Scheduler) - Refactor setup.py: improve code structure and readability - Add IP validation utilities with test coverage - Update frontend components (BanTable, HistoryPage) - Add pre-commit hooks and CONTRIBUTING.md - Add .editorconfig for consistent coding standards
61 lines
2.3 KiB
Markdown
61 lines
2.3 KiB
Markdown
# ADR-005: Single-Instance Scheduler Enforcement
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## Status
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Accepted
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## Context
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APScheduler's `AsyncIOScheduler` is bound to a single asyncio event loop.
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Running multiple scheduler instances leads to duplicate jobs, database lock
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contention, and undefined behaviour.
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## Decision
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Enforce exactly **one scheduler instance** across the entire application lifecycle,
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using a database-level distributed lock.
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## Mechanism
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### 1. Startup gate: `BANGUI_WORKERS=1`
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The Docker compose file is configured with `BANGUI_WORKERS=1` and the startup DAG
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validates this variable. If the variable is not set to `1`, startup aborts with
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a clear error message.
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### 2. Runtime lock: `scheduler_lock` table
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During startup, after opening the SQLite database, the application attempts:
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```sql
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INSERT INTO scheduler_lock (lock_name, heartbeat_at)
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VALUES ('scheduler', unixepoch())
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ON CONFLICT(lock_name) DO UPDATE SET heartbeat_at = unixepoch()
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WHERE (unixepoch() - heartbeat_at) < 30;
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```
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- If the INSERT succeeds, this instance holds the lock and starts the scheduler.
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- If the INSERT is a no-op (heartbeat is recent), another instance holds the lock
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and startup continues without starting the scheduler.
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- A background task (`scheduler_lock_heartbeat`) updates the heartbeat every 10
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seconds. If the process crashes, the lock expires after 30 seconds, allowing
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a restart to acquire it immediately.
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### 3. Deployment topology
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| Deployment | Behaviour |
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|---|---|
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| Single container | Scheduler runs normally |
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| Single Pod (Kubernetes) | Scheduler runs normally |
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| Accidental multi-process restart | Second process fails to start scheduler; first continues |
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| Intentional multi-worker | Not supported; requires external job store (future) |
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## Rationale
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### Why this approach?
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- **No external coordination service:** No ZooKeeper, etcd, or Redis needed.
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The existing SQLite database is reused.
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- **Atomic:** SQLite's INSERT with ON CONFLICT is atomic; no race condition.
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- **Self-healing:** Lock expiry means a crashed instance automatically releases
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its lock. No manual cleanup required.
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- **Crash-safe:** A heartbeat-based TTL ensures stale locks are not held
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indefinitely.
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## Consequences
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- `BANGUI_WORKERS` must always be `1`. This is documented and enforced.
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- Future multi-worker deployments require migration to a persistent job store
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(PostgreSQL + SQLAlchemy job store, or Redis). |