关键词：Benchmark；智能数据；智能数据处理；RDBMS
摘 要：This paper proposes a new online, statistics based, batch-oriented technique to allow an RDBMS to leverage cold storage to increase data capacity without overly impacting query performance. Our solution couples well with semantic knowledge about an application, making it easy to take advantage of application specific access patterns. We develop a number of techniques for efficient statistics gathering and management, movement of data to cold storage, and querying of data in cold storage. We show this approach fits well into the main memory model, and that it has excellent performance in some industry standard benchmarks, as well as for an Enterprise Resource Planning benchmark we have developed.