Full Text Search in SmithDB: Designing an Inverted Index for Object Storage
SmithDB's inverted index is optimized for handling large, deeply nested JSON documents by using a byte-budgeted row group structure and efficient encoding techniques like FST, allowing for fast query performance and reduced latency. It addresses challenges such as varying term frequencies and different query modalities, ensuring efficiency even with high-frequency terms. The index leverages Vortex for storage and supports direct access to row positions, enhancing performance through coalesced I/O requests.
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