SQLite JSON at Full Index Speed Using Generated Columns
a day ago
- #JSON
- #Database Optimization
- #SQLite
- SQLite is highly regarded for its flexibility and performance, especially when properly deployed and tuned.
- SQLite has experienced a resurgence, being forked into projects like libSQL and Turso, and used in frameworks like PocketBase.
- SQLite powers the local database in DB Pro, showcasing its utility in production environments.
- A key feature of SQLite is its JSON functions and operators, which allow for efficient JSON data handling.
- The article introduces a method to store JSON documents raw, then create virtual generated columns using json_extract for specific data queries.
- Indexes can be added to these virtual columns to enhance query performance significantly.
- This approach allows for flexibility in querying JSON data without upfront indexing decisions, enabling easy addition of new query patterns later.
- The pattern combines the benefits of schemaless data with relational database performance, offering a powerful solution for JSON data in SQLite.