laravel:data-chunking-large-datasets

To process large datasets in Laravel without running out of memory, replace full dataset loads with chunking methods like chunk(), chunkById(), lazy collections, or cursor to iterate records in smaller batches.

chunk() splits query results into batches for general processing, while chunkById() chunks by ID to safely handle in-place updates where modifying records during iteration could cause data inconsistencies.

Use lazy collections or cursor for memory-efficient data iteration in Laravel when streaming-like processing is needed, enabling you to traverse large datasets without loading the entire result set into memory.

Yes, Laravel chunking works for large data migrations and exports by applying batch processing strategies to safely stream or update records, keeping memory usage strictly controlled during heavy operations.

A limitation of using chunk() for in-place updates in Laravel is that modifying records during iteration can shift offsets and cause skipped or duplicated rows, requiring chunkById() for safe in-place data updates.