Laravel chunk() vs cursor() vs lazy() — Handle Large Data Without Crashing Your Server
The article discusses methods in Laravel for handling large datasets without causing server issues. It compares four approaches: chunk(), chunkById(), cursor(), and lazy(), each with its own advantages and use cases. The author shares personal experiences with these methods to illustrate their effectiveness in preventing memory errors and timeouts.
- ▪Using User::all() can lead to memory errors when processing large datasets.
- ▪The chunk() method processes data in batches, while chunkById() is safer for modifying records.
- ▪The cursor() method is the most memory efficient, processing one row at a time.
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Record
| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/codebysuraj109/laravel-chunk-vs-cursor-vs-lazy-handle-large-data-without-crashing-your-server-3dd6 |
| Publication time | Fri, 29 May 2026 01:55:39 +0000 |
| Retrieval time | 2026-05-29T01:59:40.741Z |
| Last seen | 2026-05-29T01:59:40.741Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | V_sWiM9st74B |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3955428) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } codebysuraj Posted on May 29 Laravel chunk() vs cursor() vs lazy() — Handle Large Data Without Crashing Your Server #laravel #php #webdev #beginners If you've ever tried to process thousands of rows in Laravel and got a memory error or server timeout — this article is for you. I learned this the hard way when a large CSV export caused Apache timeout errors in production. Here's what I found out.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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