计算机科学 ›› 2019, Vol. 46 ›› Issue (9): 66-72.doi: 10.11896/j.issn.1002-137X.2019.09.008
所属专题: 数据库技术
王涛1, 梁潇1, 吴倩倩1, 王彭2, 曹伟2, 孙建伶1
WANG Tao1, LIANG Xiao1, WU Qian-qian1, WANG Peng2, CAO Wei2, SUN Jian-ling1
摘要: 新兴的非易失内存正逐步进入人们的视野。由于这类存储技术同时具备了低延迟、持久化、大容量和字节可寻址的特性,数据库系统可以运行在只有NVM的存储架构上。在这种环境下,一些新颖的无日志索引结构应运而生,并被期望在异常故障后能即时地恢复索引能力而无须重建索引。然而,在现有的计算机体系结构中,这些索引结构为了确保NVM上数据的一致性,需要进行大量的同步操作,从而严重影响了正常执行时的系统性能。基于NVM的无日志哈希表利用指针数据的原子修改确保数据结构的一致性。哈希表使用了一种优化的Rehash方法,既减少了正常工作时的同步操作,又确保了异常故障后的即时恢复能力。实验评估表明,相比于已有的持久化索引结构,无日志哈希表在大部分工作负荷下的吞吐率表现良好,而在恢复时间、NVM资源使用量和写磨损方面具备显著的优势。
中图分类号:
[1]MEENA J S,SZE S M,CHAND U,et al.Overview of emerging nonvolatile memory technologies[J].Nanoscale Research Letters,2014,9(1):526. [2]VENKATARAMAN S,TOLIA N,RANGANATHAN P,et al.Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory[C]//Proceedings of 9th USENIX Confe-rence on File and Storage Technologies.San Jose,California:USENIX,2011:61-75. [3]YANG J,WEI Q,CHEN C,et al.NV-Tree:Reducing Consis-tency Cost for NVM-based Single Level Systems[C]//Procee-dings of 13th USENIX Conference on File and Storage Technologies.San Jose,California:USENIX,2015:167-181. [4]HUANG C C.Phase change random access memory:U.S.Patent 7,504,652[P].2009-3-17. [5]DRISKILL-SMITH A.Latest advances and future prospects of STT-RAM[C]//Non-Volatile Memories Workshop.San Diego:University of California,2010:11-13. [6]STRUKOV D B,SNIDER G S,STEWART D R,et al.Themissing memristor found[J].Nature,2008,453(7191):80-83. [7]Intel and Micron produce breakthrough memory technology[EB/OL].http://newsroom.intel.com/community/intel_newsroom/blog/2015/07/28/intel-and-micron-produce-breakthrough-memory-technology. [8]ARULRAJ J,PAVLO A,DULLOOR S R.Let’s talk about sto-rage & recovery methods for non-volatile memory database systems[C]//Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data.New York:ACM,2015:707-722. [9]ZAWODNY J.Redis:Lightweight key/value store that goes the extra mile[J/OL].Linux Magazine.http://www.linux-mag.com/id/7496/. [10]RUDOFF A.Persistent Memory Programming[J].Login:The Usenix Magazine,2017,42(2):34-40. [11]PAGH R,RODLER F F.Cuckoo hashing[J].Journal of Algorithms,2004,51(2):122-144. [12]HERLIHY M,SHAVIT N,TZAFRIR M.Hopscotch hashing[C]//International Symposium on Distributed Computing.Berlin:Springer,2008:350-364. [13]MOHAN C,HADERLE D,LINDSAY B,et al.ARIES:a tran-saction recovery method supporting fine-granularity locking and partial rollbacks using write-ahead logging[J].ACM Transactions on Database Systems (TODS),1992,17(1):94-162. [14]COOPER B F,SILBERSTEIN A,TAM E,et al.Benchmarkingcloud serving systems with YCSB[C]//Proceedings of the 1st ACM symposium on Cloud computing.New York:ACM,2010:143-154. [15]REINDERS J.VTune performance analyzer essentials[M].Intel Press,2005:112-135. |
[1] | 张晓, 张思蒙, 石佳, 董聪, 李战怀. Ceph分布式存储系统性能优化技术研究综述 Review on Performance Optimization of Ceph Distributed Storage System 计算机科学, 2021, 48(2): 1-12. https://doi.org/10.11896/jsjkx.201000149 |
[2] | 陈圆圆, 严丽, 章哲庆, 马宗民. 基于邻域结构的时态RDF模型及索引方法 Temporal RDF Model and Index Method Based on Neighborhood Structure 计算机科学, 2021, 48(10): 167-176. https://doi.org/10.11896/jsjkx.200900114 |
[3] | 王千阁, 何蒲, 聂铁铮, 申德荣, 于戈. 区块链系统的数据存储与查询技术综述 Survey of Data Storage and Query Techniques in Blockchain Systems 计算机科学, 2018, 45(12): 12-18. https://doi.org/10.11896/j.issn.1002-137X.2018.12.002 |
[4] | 赵尔平,党红恩,刘炜. 虚拟旅游中海量3D点云数据的细节层次索引技术研究 Research on Detail Level Index Technology of Massive 3D Point Cloud Data in Virtual Tourism 计算机科学, 2017, 44(10): 171-176. https://doi.org/10.11896/j.issn.1002-137X.2017.10.032 |
[5] | 李兆兴,马自堂. 面向批量处理的大数据检索过滤模型研究 Research on Big Data Retrieve Filter Model for Batch Processing 计算机科学, 2015, 42(9): 183-190. https://doi.org/10.11896/j.issn.1002-137X.2015.09.035 |
[6] | 于美娟 许力 刘岩恺 马希荣. 基于索引结构的手语词库的设计 Design of the Sign Language Template Library Based on Index Structure 计算机科学, 2012, 39(12): 195-197. |
[7] | 王锦 何先波 贺春林. 改进XISS索引技术的仿真研究 Simulation Study on Improved Index Technology for XML Data 计算机科学, 2012, 39(1): 148-151. |
[8] | 刘艳,郝忠孝. 高维主存kNN连接索引结构的核心算法 Core Algorithm of High-dimensional Main Memory kNN-Join Index Structure 计算机科学, 2011, 38(9): 146-149. |
[9] | 杨朝辉,王立松. pT-树:高速缓存优化的主存数据库索引结构 Prefetching T-Tree: A Cache-optimized Main Memory Database Index Structure 计算机科学, 2011, 38(10): 161-165. |
[10] | 李杰. 基于ORM的轻量级数据持久化技术研究及应用 Research and Application of Lightweight Data Persistence Technology Based on ORM 计算机科学, 2010, 37(9): 190-193. |
[11] | 古思山,赵黎阳,李师贤. 一种实用的对象持久化框架 Practical Framework of Object Persistence 计算机科学, 2010, 37(8): 146-151. |
[12] | 李博涵,郝忠孝. Rav-tree:一种有效支持反向近似近邻查询的索引结构 Rav-tree:An Efficient Index Structure for Reverse Approximate Nearest Neighbor Query 计算机科学, 2010, 37(1): 158-162. |
[13] | . 基于Hibernate与Struts的鱼雷库数据持久化研究 计算机科学, 2008, 35(5): 229-230. |
[14] | 古毅 吴中福 魏丽 钟将 马金亮. 高维空间数据索引结构分析研究 计算机科学, 2006, 33(5): 142-145. |
[15] | 张文杰 李建中 张炜. E3D R-Tree:一种处理移动对象数据库历史查询的索引结构 计算机科学, 2005, 32(9): 103-107. |
|