Researchers successfully improved SQLite’s performance for analytical queries by incorporating Bloom filters, making it 10x faster. Normally excelling at OLTP workloads, simple key-value lookups and complex OLAP queries were slow in SQLite. By using DuckDB as a baseline and leveraging the Star Schema Benchmark for analytics, researchers discovered that using Bloom filters reduced B-tree probes significantly. Implementing a Bloom filter efficiently within the CPU cache line and existing query engine, SQLite’s speed improved by 7x-10x, as seen in the optimized query plan and CPU cycle analysis post-optimization. This innovative approach has already been implemented in SQLite v3.38.0.
https://avi.im/blag/2024/sqlite-past-present-future/