Best Format for Database Seed Replay
SQL is the best default when replay accuracy, transactions, and schema-aware setup matter more than raw interchange simplicity.
Recommandation principale
SQL (Data)
SQL preserves database-native operations like transactions, DDL, and ordered seed replay in a way flat exports cannot.
Fichiers disponibles : 12
application/sql
application/x-sql
Formats alternatifs et de secours
CSV (Document)
Fichiers: 21
Use CSV for tabular interchange where downstream loading rules are already defined.
Echantillons HubJSON (Document)
Fichiers: 19
Use JSON when nested structures and payload debugging matter more than SQL replay semantics.
Echantillons HubSQLITE (Data)
Fichiers: 3
Use SQLite snapshots when you need portable embedded state instead of text-based replay.
Echantillons HubFacteurs de decision
- Need for transactional replay versus flat data import.
- Requirement to preserve schema changes, ordering, and rollback behavior.
- Portability across toolchains versus database-native execution fidelity.
- How often support or QA needs to inspect and diff the fixture by hand.
Erreurs courantes a eviter
- Using CSV as the only seed artifact when ordered transactional replay is required.
- Treating a large SQL fixture like a dummy blob instead of validating it against a real parser and database.
- Skipping rollback rehearsal before promoting large seed loads into CI or staging.
Comparaisons liees
SQL vs CSV
Compare SQL seed scripts with CSV exports for bulk import, replay, and database setup workflows.
Ouvrir la comparaisonCSV vs JSON
Opposez CSV tabulaire plat et JSON structure pour l'echange de donnees.
Ouvrir la comparaison