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首页> 外文会议>International Conference on Very Large Data Bases(VLDB 2004); 20040831-0903; Toronto(CA) >P~*TIME: Highly Scalable OLTP DBMS for Managing Update-Intensive Stream Workload
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P~*TIME: Highly Scalable OLTP DBMS for Managing Update-Intensive Stream Workload

机译：P〜* TIME：高度可扩展的OLTP DBMS，用于管理更新密集型流工作负载

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摘要

Over the past thirty years since the system R and Ingres projects started to lay the foundation for today's RDBMS implementations, the underlying hardware and software platforms have changed dramatically. However, the fundamental RDBMS architecture, especially, the storage engine architecture, largely remains unchanged. While this conventional architecture may suffices for satisfying most of today's applications, its deliverable performance range is far from meeting the so-called growing "realtime enterprise" demand of acquiring and querying high-volume update data streams cost-effectively. P~*TIME is a new, memory-centric lightweight OLTP RDBMS designed and built from scratch to deliver orders of magnitude higher scalability on commodity SMP hardware than existing RDBMS implementations, not only in search but also in update performance. Its storage engine layer incorporates our previous innovations for exploiting engine-level micro-parallelism such as differential logging and optimistic latch-free index traversal concurrency control protocol. This paper presents the architecture and performance of P*TIME and reports our experience of deploying P*TIME as the stock market database server at one of the largest on-line brokerage firms.
机译：自从系统R和Ingres项目开始为当今的RDBMS实现奠定基础以来的30年中，底层的硬件和软件平台发生了巨大变化。但是，基本的RDBMS体系结构，尤其是存储引擎体系结构在很大程度上保持不变。尽管这种常规体系结构足以满足当今的大多数应用，但其可交付的性能范围还远远不能满足所谓的“实时企业”不断增长的需求，即以经济高效的方式获取和查询大容量更新数据流。 P〜* TIME是一种新的，以内存为中心的轻量级OLTP RDBMS，它是从头开始设计和构建的，它在商品SMP硬件上提供的扩展性比现有RDBMS实现高出几个数量级，不仅在搜索方面，而且在更新性能方面。其存储引擎层结合了我们先前的创新，以利用引擎级别的微并行性，例如差分日志记录和乐观的无闩锁索引遍历并发控制协议。本文介绍了P * TIME的体系结构和性能，并报告了我们在最大的在线经纪公司之一中将P * TIME部署为股票数据库服务器的经验。

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