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What is Laravel database seeding strategy for large datasets?
Updated May 16, 2026
Short answer
Seeding strategy involves generating large datasets efficiently using factories and chunk inserts.
Deep explanation
Laravel seeders populate databases with test or initial data. For large datasets, factories combined with chunked inserts improve performance. Avoid inserting row-by-row as it is inefficient. Seeders should also be idempotent to prevent duplicate data.
Real-world example
Used in testing environments simulating production-like data.
Common mistakes
- Using loops with individual insert queries.
Follow-up questions
- What is model factory?
- Why use chunk inserts?