Computer Science ›› 2016, Vol. 43 ›› Issue (6): 184-187.doi: 10.11896/j.issn.1002-137X.2016.06.037

Previous Articles     Next Articles

Performance Comparison of Join Operations on SIMFS and EXT4

ZHAO Li-wei, CHEN Xian-zhang and ZHUGE Qing-feng   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Join is the most primary and expensive operation in relational database,and it has a great impact on the performance of the database.Since the data tables are stored in file system,the performance of the file system essentially determines the performance of join operation.The tests of join among different file systems have great meaning in database research,but now there are few of such tests.First,the differences between the data access of new in-memory file system SIMFS (Sustainable In-Memory File System) and the I/O path of disk-based file system EXT4 (Fourth extendedfile system) were compared.Then experiments were designed to test the effect of different file systems on join operations.And test metrics such as different data block and I/O block sizes were set for SIMFS and EXT4 respectively.The experimental results show that the join operation on SIMFS and EXT4 has obvious difference in performance optimization ,effect of block size,the bottleneck of performance improvement,constraints of hardware,and so on.Based on the analysis of the experimental results,suggestions on in-memory file system were proposed to optimize the join operations.

Key words: Join operations,In-memory file system,Disk-based file system,Performance optimization

[1] Myers D C.On the Use of NAND Flash Memory in High-Performance Relational Databases[D].Massachusetts Institute of Technology,2008
[2] Wu X,Qiu S,Narasimha Reddy A L.SCMFS:A File System for Storage Class Memory and its Extensions[J].ACM Transactions on Storage (TOS),2013,9(3):1-11
[3] Condit J,Nightingale E B,Frost C,et al.Better I/O through byte-addressable,persistent memory[C]∥Proceedings of the ACM SIGOPS 22nd Symposium on Operating Systems Principles.ACM,2009:133-146
[4] Dulloor S R,Kumar S,Keshavamurthy A,et al.System software for persistent memory[C]∥Proceedings of the Ninth European Conference on Computer Systems.ACM,2014:1-15
[5] Li Guan-zhao,Chen Si-tong,Zhen Zhen,et al.Join AlgorithmsBased on Fermi Architecture[J].Computer Science,2013,40(3):62-67(in Chinese) 李观钊,陈思桐,甄真,等.基于Fermi架构的Join算法[J].计算机科学,2013,40(3):62-67
[6] Sha E H M,Chen Xian-zhang,Zhuge Qing-feng,et al.Designing an efficient persistent in-memory file system.
[7] Ext4 wiki.
[8] Raoux S,Burr G W,Breitwisch M J,et al.Phase-change random access memory:A scalable technology[J].IBM Journal of Research and Development,2008,52(4/5):465-479
[9] Jung M,Shalf J,Kandemir M.Design of a large-scale storage-class RRAM system[C]∥Eugene,Oregon,USA:Proceedings of the 27th International ACM Conference on International Conference on Super Computing.ACM,2013:103-114
[10] Chua L.Resistance switching memories are memristors[J].Applied Physics A,2011,102(4):765-783
[11] Kerman J.Toward a Universal Memory[J].Science,2005,308(5721):508-510
[12] Chen S,Gibbons P B,Nath S.Rethinking Database Algorithms for Phase Change Memory[C]∥ Proceedings of the 5th Biennial Conference on Innovative Data System.2011:21-31
[13] Jung M,Shalf J,Kandemir M.Design of a large-scale storage-class RRAM system[C]∥Proceedings of the 27th International ACM Conference on International Conference on Supercomputing.ACM,Eugene,Oregon,USA,2013:103-114
[14] Liu R,Shen D,Yang C,et al.NVM duet:unified working memory and persistent store architecture[J].ACM Sigplan Notices,2014,2(1):455-470
[15] Jung J,Cho S.Memorage:emerging persistent RAM based malleable main memory and storage architecture[C]∥ Proceedings of the 27th International ACM Conference on International Conference on Supercomputing.ACM,Eugene,Oregon,USA,2013:115-126
[16] Mishra P,Eich M H.Join processing in relational databases[J].ACM Comput.Surv.,1992,24(1):63-113
[17] Elmasri R A,Navathe S B.Fundamentals of Database Systems[M].Addison-Wesley Longman Publishing Co., 1999:1009
[18] Han Xi-xian,Yang Dong-hua,Li Jian-zhong.DBCC-Join:A Novel Cache-Conscious Disk-Based Join Algorithm[J].Chinese Journal of Computers,2010(08):1500-1511(in Chinese) 韩希先,杨东华,李建中.DBCC-Join:一种新的高速缓存敏感的磁盘连接算法[J].计算机学报,2010(8):1500-1511
[19] Do J,Patel J M.Join processing for flash SSDs:rememberingpast lessons[C]∥Proceedings of the Fifth International Workshop on Data Management on New Hardware.ACM,Providence,Rhode Island,2009
[20] Viglas S.Write-limited sorts and joins for persistent memory[J].PVLDB,2014,7(5):413-424
[21] Pang Jun,Yu Ge,Xu Jia,et al.Similarity Joins on Massive Data Based on MapReduce Framework[J].Computer Science,2015,42(1):1-5(in Chinese) 庞俊,于戈,许嘉,等。基于MapReduce框架的海量数据相似性连接研究进展[J].计算机科学,2015,2(1):1-5

No related articles found!
Full text



No Suggested Reading articles found!