Everything on Performance Optimization

Deploy custom Just-In-Time compilation for SQL filters to generate platform-specific machine code, maximizing CPU efficiency for complex predicates over billions of rows, while preparing for native Java Vector API adoption.

Impact: Significantly reduces query execution time for complex filters by leveraging hardware-specific instructions and minimizing interpretation overhead.

— from QuestDB: High-Performance Java Architecture and Hardware Sympathy · The InfoQ Podcast· Apr 27, 2026

Exploit modern CPU capabilities, such as out-of-order execution and multiple Arithmetic Logic Units, by duplicating independent operations within single threads to increase instruction-level parallelism, prioritizing mechanical sympathy over idiomatic readability in critical paths.

Impact: Unlocks hidden performance gains in latency-sensitive code by aligning software execution with hardware parallelism, though requiring careful trade-off analysis with maintainability.

— from QuestDB: High-Performance Java Architecture and Hardware Sympathy · The InfoQ Podcast· Apr 27, 2026