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Batch Laravel Package

yokai/batch

Yokai Batch is a Laravel package for running and managing batch jobs, with tools to define batches, track progress, and handle failures in queued workloads. It integrates with Laravel's queue and provides a simple API for orchestrating long-running or bulk tasks.

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Product Decisions This Supports

  • Build vs. buy for batch/ETL workloads. This package encodes a well-known mental model (job → step → chunk → reader/processor/writer, with skip and retry policies, borrowed from Spring Batch). Even if you don't adopt it, it is a useful reference spec for scoping an in-house pipeline feature: it tells you which knobs customers will eventually ask for (restartability, chunk size, skip thresholds, per-step error handling) before you design your own.
  • Feature triage: queue job vs. batch job. It draws a clear line between per-item async work (Laravel Bus::batch, queued jobs, Horizon) and ordered, chunked, resumable, aggregate processing (nightly imports, invoicing runs, catalog syncs, report generation). Use it to decide which of your roadmap items are genuinely "batch" problems and which are being over-engineered.
  • Stack/architecture fit. Important caveat: despite the framing, this is a Symfony-first package, not Laravel-native. That makes it a decision input for "are we a Symfony shop or a Laravel shop?" rather than a drop-in Laravel dependency.
  • Risk-adjusted adoption call. 12 stars, 0 dependents, last release December 2023, and a low overall score (0.15) with a moderate opportunity score (38.2). Read that as: the problem is worth solving, the package is not field-validated. This supports a "reference, don't depend" decision and a do-not-place-on-critical-path rule.
  • Roadmap sequencing. If batch processing is a Q3/Q4 theme, this is a two-hour spike to pressure-test your design — not a multi-sprint integration.

When to Consider This Package

Consider it when all of the following hold:

  • You are on a Symfony application (or a polyglot PHP codebase) with a real chunk-oriented processing need — large imports/exports, reconciliation, scheduled data movement with resume-after-failure requirements.
  • Your team already knows the Spring Batch vocabulary (jobs, steps, chunk-oriented tasklets) and would otherwise reimplement it.
  • You are willing to vendor/pin the dependency and own it, including forking if a PHP or Symfony upgrade breaks compatibility — there is no meaningful community to rely on.
  • The use case is internal tooling or a proof of concept, not a customer-facing SLA with on-call expectations.

Look elsewhere when:

  • You are Laravel-first. Use Bus::batch, chunked queue jobs, Horizon, and LazyCollection-based streaming. Add a dedicated package only for the specific gap you can name.
  • Volumes or orchestration needs are serious. At that point the honest answer is an external orchestrator (Temporal, Airflow/Dagster/Prefect, or cloud-native equivalents) rather than a PHP loop with checkpoints.
  • You need active maintenance, security patches, or a support path. The release cadence and dependent count say dormant; assume no upstream responsiveness until you verify otherwise.
  • You need distributed execution, backpressure, or observability. Batch is a single-process abstraction; that's a scope mismatch, not a defect.

How to Pitch It (Stakeholders)

To executives: The need is real — batch data pipelines (imports, billing runs, syncs) are a recurring roadmap request and a common source of production incidents when teams hack them out of queued jobs. This package is not the recommendation. It has 12 stars, zero known dependents, no release since late 2023, and effectively a single-maintainer risk profile, and it targets Symfony rather than our Laravel stack. Recommendation: fund a design spike, not an integration. Use the package as a reference architecture, build on Laravel's native batching plus streaming reads, and revisit an external orchestrator if volumes grow. That gets us the capability in roughly the same timeframe with no orphaned dependency on the critical path.

To engineering: It's a clean, small implementation of the job/step/chunk pattern with skip and retry semantics — worth reading before we design ours, and worth copying the interfaces and lifecycle from. What we should not copy is the dependency: no dependents means no production validation, the last release predates recent PHP/Symfony minors, and there's no clear upgrade path. Concretely: pin it only inside a throwaway spike branch; if we do adopt, we vendor it and assign an owner with a documented fork policy.

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