RDBMS上图BI查询的微架构分析

Rathijit Sen, Yuanyuan Tian
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引用次数: 0

摘要

我们给出了关系型数据库引擎上LDBC SNB BI查询的微架构分析结果。我们发现多核cpu利用率不足、指令执行效率低下、片上缓存层次结构的数据访问开销、数据TLB开销以及总体较低(但短期较高)的内存带宽利用率。使用大型页面可将查询性能提高65%,工作负载性能提高23%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Microarchitectural Analysis of Graph BI Queries on RDBMS
We present results of microarchitectural analysis for LDBC SNB BI queries on a relational database engine. We find underutilization of multicore CPUs, inefficient instruction execution, data access overheads at the on-chip cache hierarchy, data TLB overheads, and overall low (but short-term high) memory bandwidth utilization. Using huge pages increased query performance by up to 65% and workload performance by 23%.
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