laravel-data-chunking-large-datasets

You can process large datasets in Laravel without memory exhaustion by using Eloquent chunking methods like chunk() or lazy() to stream records in batches instead of loading everything at once. This limits memory usage during data migration or batch processing.

Chunk() retrieves records in batches using offset and limit, while chunkById() queries batches using ID ranges. ChunkById() is safer for Eloquent batch processing when modifying or updating records during iteration, preventing records from being skipped.

Use lazy() for memory-efficient iteration yielding Eloquent models one at a time, and cursor() for forward-only processing using PHP generators. Both handle Laravel data processing efficiently, but cursor() uses less memory by reading rows directly from the database.

Yes, Laravel chunking is designed for data migration and reporting tasks involving millions of records. By applying chunk(), chunkById(), lazy(), or cursor() methods, you can safely iterate large datasets while minimizing memory usage.

Updating records during Eloquent chunk() can skip data because it uses offset and limit for pagination. If records are modified or deleted, the offset shifts. Use chunkById() instead to safely update records in batched iterations by querying ID ranges.