Optimizing ClickHouse for Intel's 280 core processors
5 hours ago
- #database-optimization
- #high-core-count
- #ClickHouse
- Intel's latest processor generations are pushing core counts to unprecedented levels, with future roadmaps targeting 200+ cores per socket.
- For analytical databases like ClickHouse, ultra-high core counts present both opportunities and challenges, including lock contention, cache coherence, NUMA effects, and memory bandwidth issues.
- Optimizations for ClickHouse on ultra-high core count systems include reducing lock contention, improving memory management, increasing parallelism, optimizing algorithms, and eliminating false sharing.
- Key optimizations include the Query Condition Cache (PR #80247), Thread-Local Timer ID (PR #48778), Jemalloc Memory Reuse (PR #80245), AST Query Rewriting (PR #57853), and Profile Event Counter Alignment (PR #82697).
- Performance improvements from these optimizations include speedups of up to 10x for individual queries and overall geometric mean improvements of 2-10% per optimization.
- The optimizations enable ClickHouse to scale nearly linearly on ultra-high core count systems, preparing it for future processors with thousands of cores.