shieldo/solarium-async-plugin
A Solarium plugin that adds asynchronous query support to the PHP Solr client, letting you dispatch multiple requests concurrently and collect responses later. Useful for speeding up batch searches and reducing wait time when querying Solr from Laravel or plain PHP applications.
Architecture fit: This is a narrow Solarium plugin, not a Laravel package. It fits only if the Laravel application already talks directly to Solr through Solarium and has a real need to fan out multiple Solr queries concurrently. The clean placement is behind an application-owned search repository/service, not in controllers or Eloquent models. It is a poor fit for Laravel Scout default flows or teams without direct Solarium usage.
Integration feasibility: Feasible via Composer if version constraints align with the app’s PHP, Laravel, Solarium, and HTTPlug/PSR HTTP stack. Expect manual wiring: instantiate the plugin, attach it to the Solarium client, and resolve promises in application code. A Laravel service provider, config entry, adapter interface, and feature flag should wrap it so the async boundary does not leak across the codebase.
Technical risk: High relative to value. Signals are weak: 1 star, 0 dependents, no Laravel-specific integration, and likely limited maintenance. Main risks are version drift with Solarium/PHP, HTTPlug deprecation pressure toward PSR-18 clients, sparse documentation/tests, unhandled promise rejections, and unclear behavior under Laravel Octane or long-running workers. MIT license is favorable, but supply-chain and maintenance risk remain.
Key questions: Does the app already use Solarium directly? Which Solarium, PHP, Laravel, and HTTPlug/Guzzle versions are required? Is the latency problem actually multi-query Solr fan-out, or better solved with caching, denormalization, or Solr-side optimizations? Does the plugin support timeouts, cancellation, retries, and partial failures? Who will own a fork if upstream is inactive? Can the same outcome be achieved with a maintained async HTTP client and a small internal adapter?
Stack fit: Suitable only for Laravel services with Solarium as the Solr client and an HTTP client that supports HTTPlug promises, commonly Guzzle. It does not replace Scout, Elasticsearch, or a general search abstraction. Treat it as a tactical latency optimization for bounded search/reporting paths.
Migration path: Start with a time-boxed spike in one non-critical read path. Implement an internal AsyncSolrQuery adapter that exposes a synchronous-looking API to Laravel callers and hides promise handling. Add config for enable/disable, max in-flight queries, timeout, and fallback-to-sync. Compare result parity and latency before expanding.
Compatibility: Validate Composer constraints first. Confirm PHP 8.x support, Laravel 10/11 compatibility, Solarium version match, HTTPlug promise implementation, and Guzzle/PSR-18 client compatibility. Check whether the package is compatible with Octane and whether promises are always awaited and cleaned up. If constraints force old dependencies, reject or isolate.
Sequencing: 1) dependency and license audit; 2) prototype against current Solr version; 3) wrap behind an application-owned adapter and service provider; 4) add unit/integration tests for success, rejection, timeout, and partial failure; 5) load-test with realistic Solr latency; 6) canary behind a feature flag with sync fallback; 7) expand only if metrics prove value.
Maintenance: Low ecosystem support and no dependents imply high internal ownership. Budget for forking or vendoring if adopted. Pin versions, track Solarium/PHP upgrades, and avoid spreading direct plugin usage beyond the adapter.
Support: No commercial support and minimal community evidence. The application team must own documentation, examples, error handling, and an operational runbook. Include the package in dependency review and vulnerability monitoring.
Scaling: Async promises can improve wall-clock latency for multiple independent Solr queries per request, but they do not add CPU capacity and can increase pressure on Solr and the HTTP client. Enforce max concurrency, timeouts, backoff, and per-request budgets. Monitor Solr QPS, p95/p99 latency, error rates, and open promise counts.
Failure modes: Rejected promises, unhandled async exceptions, partial results, timeouts, connection pool exhaustion, event-loop or worker blocking, memory growth in long-running workers, and version incompatibility after upgrades. Define fallback behavior: return sync results, degrade to fewer queries, or fail fast with a clear error.
Ramp-up: Low code footprint but nontrivial mental model. Developers familiar with Solarium and promises can adopt it quickly; general Laravel developers will need guidance on promise lifecycle, cancellation, error propagation, and Octane-safe practices. Prefer an adapter that keeps most engineers on synchronous interfaces.
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