A modern, typed, and lazy PHP 8.4+ data pipeline library.
php-etl is a high-performance ETL (Extract, Transform, Load) library designed to handle massive datasets with a constant memory footprint. Using PHP Generators under the hood, it processes data row-by-row, ensuring even the largest pipelines remain memory-safe.
- Lazy Evaluation: Entirely stream-based using Generators. Never materialize large arrays again.
- Typed Pipelines: Full support for PHPStan generics (
Pipeline<TIn, TOut>). - High-Performance Extractors: Built-in support for CSV and JSON Lines (ndjson) with zero memory overhead.
- Batching & Chunking: Efficiently process rows in batches using
chunk($size)orbatch($size). - Fluent API: Modern entry point via
Pipeline::create(). - Error Resilience: Configurable error policies (
COLLECT,SKIP,THROW) to manage row-level failures. - Bulk Loading: Built-in
BulkPdoLoaderfor high-performance database inserts. - Zero Dependencies: Lightweight core with no runtime dependencies.
composer require fr3on/php-etluse Fr3on\Etl\Pipeline;
use Fr3on\Etl\Extractor\CsvExtractor;
use Fr3on\Etl\Sink\CallbackSink;
Pipeline::create()
->extract(new CsvExtractor('transactions.csv'))
->filter(fn($row) => $row['status'] === 'SUCCESS')
->map(fn($row) => ['id' => $row['tx_id'], 'amt' => (float)$row['amount']])
->into(new CallbackSink(fn($row) => print_r($row)))
->run();use Fr3on\Etl\Loader\BulkPdoLoader;
Pipeline::create()
->extract(new CsvExtractor('large_data.csv'))
->chunk(1000)
->load(new BulkPdoLoader($pdo, 'target_table'))
->run();php-etl is built for extreme efficiency. Benchmarks on 100,000 rows demonstrate sub-second processing with a constant memory footprint.
| Extractor | Throughput | Peak Memory | Time (100k rows) |
|---|---|---|---|
| JsonExtractor (JSONL) | ~1,080,000 rows/sec | ~2.0 MB | 91 ms |
| CsvExtractor | ~730,000 rows/sec | ~2.0 MB | 136 ms |
Benchmarks run on standard hardware (PHP 8.4, Opcache off). Results may vary depending on row complexity.
The core library is tested for memory safety and high throughput.
composer test # Run PHPUnit
composer test:memory # Run with strict 32M memory limit
composer analyse # Run PHPStan Level 9
composer bench # Run PHPBenchMIT License. See LICENSE for details.