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@objectstack/service-queue

v17.2.0

Published

Queue Service for ObjectStack — implements IQueueService with in-memory and durable DB-backed (sys_job_queue) adapters

Readme

@objectstack/service-queue

Queue Service for ObjectStack — implements IQueueService with an in-memory adapter and a durable, database-backed adapter (sys_job_queue).

Adapters

| Adapter | Durable | Multi-node | Use | | --- | --- | --- | --- | | memory | No (in-process) | No | dev / test / ephemeral work | | db | Yes (sys_job_queue) | Yes (lease-based claim) | production default | | auto (default) | — | — | db when an ObjectQL engine is present, else memory |

The db adapter persists messages, retries, and the dead-letter queue to the sys_job_queue object. Multiple worker processes claim messages from the shared table with a lease (leaseMs), so it works across a multi-node deployment without any external broker — no Redis required. Studio can list and replay the DLQ because sys_job_queue is a first-class object.

A BullMQ/Redis adapter is not shipped. The durable path is the DB adapter; it rides on the same datasource the runtime already uses. If you genuinely need a Redis-backed broker, register a custom IQueueService via ctx.registerService('queue', myAdapter).

Installation

pnpm add @objectstack/service-queue

Usage

import { ObjectKernel } from '@objectstack/core';
import { QueueServicePlugin } from '@objectstack/service-queue';

const kernel = new ObjectKernel();
// 'auto' (default): durable DbQueueAdapter when ObjectQL is available, else memory
kernel.use(new QueueServicePlugin({ adapter: 'auto' }));
await kernel.bootstrap();

const queue = kernel.getService('queue'); // IQueueService

// Publish a message
await queue.subscribe('email', async (msg) => {
  await sendEmail(msg.data);
});

await queue.publish('email', { to: '[email protected]', template: 'welcome' }, {
  // delay / priority / retries (see QueuePublishOptions)
  attempts: 3,
});

Configuration

// Force the durable DB adapter (requires an ObjectQL engine)
new QueueServicePlugin({
  adapter: 'db',
  db: {
    pollIntervalMs: 1000,   // worker poll cadence
    batchSize: 10,          // messages claimed per tick
    leaseMs: 30000,         // lease before another worker may reclaim
    idempotencyWindowMs: 24 * 60 * 60 * 1000,
  },
});

// In-process only (non-durable) — dev / test
new QueueServicePlugin({ adapter: 'memory' });

Retention — how sys_job_queue stays bounded

Delivered messages are not kept forever. sys_job_queue declares an ADR-0057 lifecycle policy and the platform LifecycleService (shipped with @objectstack/objectql, armed on every kernel that has data) enforces it — no configuration, no extra scheduler:

| Row state | What happens | |---|---| | completed | deleted 7 days after created_at | | pending / running | never swept — live work | | failed / dlq | never swept — the dead-letter queue waits for a human (listFailed / replay / purgeFailed) |

Two consequences worth knowing:

  • idempotencyWindowMs must not exceed the retention window. Dedup against a terminal message compares its created_at to that window, so a longer setting would start accepting duplicates the moment the row was swept. The db adapter throws at construction instead of degrading quietly.
  • The window is overridable per environment through the lifecycle settings namespace (maxAge per object), like every other ADR-0057 policy — but not below the idempotency window. On startup this plugin registers a retention floor with the LifecycleService carrying the window the adapter was actually constructed with; a global or tenant-scoped override under it is rejected at sweep time (the declared window keeps running) and logged at error naming the consequence and the two settings that would make it legal. So the ordering is enforced from both sides: the constructor rejects a too-long idempotencyWindowMs, the floor rejects a too-short maxAge.

Service API

Implements IQueueService from @objectstack/spec/contracts:

interface IQueueService {
  publish<T>(queue: string, data: T, options?: QueuePublishOptions): Promise<string>;
  subscribe<T>(queue: string, handler: QueueHandler<T>): Promise<void>;
  unsubscribe(queue: string): Promise<void>;
  getQueueSize?(queue: string): Promise<number>;
  purge?(queue: string): Promise<void>;
  // Dead-letter queue (db adapter)
  listFailed?(queue?: string, options?: { limit?: number; offset?: number }): Promise<QueueMessageRecord[]>;
  replay?(messageId: string): Promise<void>;
  purgeFailed?(messageId: string): Promise<void>;
}

Best Practices

  1. Idempotent handlers — messages may be re-delivered after a lease expires.
  2. Small payloads — keep message data compact for fast serialization.
  3. Handle the DLQ — monitor listFailed() and replay() poisoned messages.
  4. Use db in productionmemory loses in-flight work on restart and does not coordinate across nodes.

License

Apache-2.0. See LICENSING.md.

See Also