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flutter-db

Local database and persistence selection for Flutter including SharedPreferences, SecureStorage, Hive, and Drift. Use when implementing offline storage, encrypted data persistence, or choosing between key-value and relational local databases.

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Poorgramer-Zack/dart-expert-skills
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포함된 파일(6)

  • SKILL.md2.7 KB
  • references/databases-overview.md2.9 KB
  • references/drift.md6.6 KB
  • references/hive-ce.md6.2 KB
  • references/secure-storage.md3.8 KB
  • references/shared-preferences.md3.1 KB

SKILL.md(원문)

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Database Architecture Guide (Flutter)

Goal

Implement robust, scalable, and secure local persistence strategies for Flutter applications. This skill ensures developers choose the optimal storage engine—balancing simple key-value settings, encrypted sensitive data, high-performance NoSQL object stores, and complex relational databases.

Process

🚀 High-Level Workflow

Selecting the right persistence layer depends on data sensitivity, complexity, and relationship depth.

Phase 1: Key-Value Persistence (Simple & Secure)

Use lightweight stores for settings and sensitive credentials.

Phase 2: High-Performance Object Storage (NoSQL)

For local-first apps requiring fast read/write of large datasets without complex relations.

Phase 3: Complex Relational Schemas (SQL)

For apps requiring strict data integrity, transactions, and complex queries.

📚 Documentation Library

Refer to these specialized resources to implement your chosen persistence strategy:

Constraints

  • Type Safety: Prohibit raw dynamic data access. Always use generated classes (Drift) or typed static wrappers (SharedPreferences/SecureStorage).
  • Sensitivity Awareness: Force use of Secure Storage for any tokens, passwords, or PII. Never store sensitive data in SharedPreferences or unencrypted Hive boxes.
  • Singleton Access: Access storage instances via DI (Riverpod) or strictly defined static classes to prevent key fragmentation.
  • Performance Balance: Use NoSQL (Hive) for high-frequency reads and SQL (Drift) for complex relationships. Don't over-engineer simple apps with SQL.

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