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Iter Laravel Package

php-standard-library/iter

Inspect and reduce any PHP iterable (arrays, generators, iterators) with small, focused helpers from PHP Standard Library - Iter. Designed for common iteration tasks and consistent behavior across iterable types.

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Utility functions for inspecting and reducing iterables - arrays, generators, and iterators

Frequently asked questions about Iter
How can I use this package to optimize Laravel Eloquent query results processing?
Use `iter()` to wrap Eloquent collections or cursor results, then chain methods like `filter()`, `map()`, or `reduce()` for lazy processing. For example, `Model::cursor()->iter()->filter(fn($model) => $model->active)->map(...)` avoids loading all records into memory at once, ideal for large datasets or API responses.
Does this package work with Laravel’s queue jobs for batch processing?
Yes. The lazy evaluation model is perfect for queue jobs—process iterables in chunks without materializing the entire dataset. For example, `iter($largeArray)->chunk(100)->each(fn($chunk) => dispatch(new ProcessChunkJob($chunk)))` integrates smoothly with Laravel’s queue system.
What Laravel versions and PHP versions does this package support?
The package requires PHP 8.1+ and is designed for Laravel 10+. It leverages modern PHP features like iterable return types and named arguments, which align with Laravel’s latest versions. Check the [PHP Standard Library docs](https://php-standard-library.dev) for exact compatibility notes.
How does performance compare to Laravel’s built-in Collection class for common operations?
For lazy operations (e.g., `map()`, `filter()`), this package often outperforms `Collection` in memory usage, especially with large datasets, since it avoids eager loading. However, `Collection` may still be faster for simple, small-scale operations due to Laravel’s optimizations. Benchmark with your specific use case.
Can I use this in Laravel Blade templates for dynamic data rendering?
Yes, but with caution. While you can pass iterables to Blade, lazy pipelines (e.g., `iter($items)->filter(...)`) won’t work directly in `@foreach` loops. Convert to an array first with `iter($items)->toArray()` or use it in PHP logic before passing data to the view.
What alternatives exist for functional iteration in Laravel, and why choose this package?
Alternatives include `symfony/collection` or `league/collection`, but this package is lighter, PHP 8.1+ optimized, and focuses solely on iterables (arrays, generators, iterators). It avoids Symfony’s heavy dependencies and provides a more modern, composable API tailored for Laravel’s lazy-processing needs.
How do I test code that uses lazy iterables in Laravel’s testing environment?
Use Laravel’s testing tools like `assertEquals()` with `iter($expected)->toArray()` for comparisons. For generators, mock them with `Mockery` or `Pest` and verify output by iterating through results. Example: `iter($generator)->take(5)->toArray()` ensures you test finite subsets without full materialization.
Will this package conflict with existing Laravel packages like spatie/array-to-object?
No, it’s designed for low coupling. Use `iter()` to transform arrays or generators before passing them to `spatie/array-to-object` or other packages. For example, `iter($array)->map(...)->toArray()` can preprocess data before conversion.
How do I handle mixed iterables (e.g., arrays, generators, IteratorAggregate) in Laravel?
This package normalizes iterables automatically, so you can chain methods like `iter($mixed)->filter(...)` without explicit type checks. For strict typing, use PHP’s `is_iterable()` or `instanceof` checks, but the package handles most cases seamlessly in Laravel’s dynamic context.
Are there plans to add Laravel-specific utilities, like integration with API Resources or Artisan commands?
The package is framework-agnostic but welcomes contributions for Laravel-specific helpers. Check the [GitHub issues](https://github.com/php-standard-library/php-standard-library/issues) or propose a PR for features like `iter()->resource()` or Artisan command integrations. The team encourages community-driven Laravel extensions.
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