SQLite JSON Performance Optimization: Virtual Columns and Indexing Techniques

Summary

The article discusses advanced SQLite database techniques, specifically how to efficiently work with JSON data by using virtual generated columns and indexing. It explains that SQLite has experienced a resurgence in popularity and can be used effectively in production when properly deployed and tuned. The core technique involves storing raw JSON documents, creating virtual columns using json_extract functions, adding indexes to those columns, and then querying JSON data at full B-tree index speed for optimal performance.