dataqueue-advanced

Job dependencies are orchestrated using the dependsOn setting to ensure prerequisite tasks complete before continuation. This coordinates multi-step pipelines across distributed workers with strong guardrails and transactional job creation.

Memoization works by using the ctx.run function to cache step results during execution. On re-invocation or retry, the system replays these cached results deterministically, preventing redundant processing and ensuring robust recovery.

Yes, recurring cron jobs can be scheduled with idempotent handling to ensure fault-tolerant execution. This prevents duplicate processing of identical tasks across distributed workers while maintaining reliable, lossless scheduling.

Time-based and token-based waits coordinate human and system actions by using waitFor, waitUntil, and token waits. These mechanisms pause pipeline execution until specific conditions or timeouts are met.

Yes, transactional job creation is supported for Node.js applications using Redis or PostgreSQL. This ensures lossless processing by atomically enqueuing jobs with dependencies, tags, and idempotency settings.

Duplicate jobs during retries occur without idempotent handling and deterministic replay. Implementing step memoization with ctx.run and idempotency settings ensures robust timeout semantics and prevents redundant processing.