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LioranDB TypeScript Series Part 6: How to Use Secondary and Full-Text Indexes

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LioranDB V2, a Rust-powered document database designed for TypeScript, supports secondary indexes and full-text indexes through its TypeScript driver. Developers can create unique single-field indexes, compound multi-field indexes, and partial indexes that apply only to documents matching a specific filter. A text index can be configured with options like normalization and stopword filtering, enabling full-text search queries on document fields. Index metadata such as name, fields, uniqueness, and build state can be inspected at runtime, and indexes can be dropped when no longer needed. The project is currently in pre-alpha, and the LioranDB team is encouraging developers to experiment and provide feedback as indexing capabilities continue to evolve.

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