Grzegorz Dziewit
grzegorz.dziewit@pollub.edu.pl
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland
Jakub Korczyński
jakub.korczynski@pollub.edu.pl
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland
Maria Skublewska-Paszkowska
maria.paszkowska@pollub.pl
Institute of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin, Poland
Comparison of efficiency is not a trivial phenomenon because of disparities between different database systems. This paper presents a methodology of comparing relational database systems in respect of mean time of execution individual DML queries containing subqueries and conjunction of tables. The presented methodology can be additionally accommodated to studies of efficiency in a range of database system itself (study of queries executed directly in database engine). The described methodology allows to receive statement telling which database system is better in comparison to another in dependency of functionalities fulfilled by external application. In the article the analysis of mean time of execution individual DML queries was performed.Two research hypotheses have been put forward: "Microsoft SQL Server database system needs less time to execute INSERT and UPDATE queries than Oracle database" and "Oracle database system needs less time to execute DML queries with binary data than SQL Server"
References
[1] Singh P., Sharma S., Kaur S.: Performance Analysis of Different DBMS Systems. International Journal of Advance Foundation And Research In Science & Engineering, 2015,1. 1-9.
[2] Shapiro M., Miller E.: Managing databases with binary large objects. 16th IEEE Symposium on Mass Storage Systems in cooperation with the 7th NASA Goddard Conference on Mass Storage Systems and Technologies, San Diego 1999
[3] Khawar I., Kamran A., Syed B., Syed A.: Huge and Real-Time Database Systems: A Comparative Study and Review for SQL Server 2016, Oracle 12c & MySQL 5.7 for Personal Computer. Journal of Basic and Applied Sciences, 2017, 13.
[4] Mihailescu M., Sorensen E.: Model-View-ViewModel (MVVM) Design Pattern using Windows Presentation Foundation (WPF) Technology. Megabyte Journal, 2010
[5] Castel J.: Oracle 12c: SQL. Cengage Learning, 2015
[6] Sanka, D., Durkin, W., Radivojevic, M.: SQL Server 2016 Developer's Guide. Packt Publishing, 2017
[7] Specyfikacja diagramu ERD, https://msdn.microsoft.com/plpl/library/projektowanie-baz-danych--diagramy-erd-relacjemiedzy-tabelami-zwiazki-rekordy.aspx, [2018-06-20]
[8] Opis widoku V$SQL (Oracle), https://docs.oracle.com/cd/B19306_01/server.102/b14237/dynviews_2113.htm#REFRN 30246, [2018-05-15]
[9] Opis widoku sys.dm_exec_query_stats (Ms SQL Server), https://docs.microsoft.com/en-us/sql/relationaldatabases/system-dynamic-management-views/sys-dm-execquery-stats-transact-sql?view=sql-server-2017, [2018-05-15]
[10] Opis shared_pool dla bazy Oracle, http://www.dbaoracle.com/concepts/shared_pool_concepts.htm, [2018-06-20]
[11] Opis zapytania czyszczącego pamięć podręczną oraz plan zapytań dla bazy Oracle. http://www.dba-oracle.com/ tp_Oracle_shared_pool_routine_flush.htm, [2018-06-20]
[12] Opis zapytań czyszczących pamięć oraz plan zapytań dla bazy MS SQL, http://www.sqlpedia.pl/aspekty-wydajnosciowezapytan-sql/, [2018-06-20]
[13] Opis bazodanowego typu BLOB w systemie Oracle, https://docs.oracle.com/javadb/10.8.3.0/ref/rrefblob.html, [2018-05-15]
[14] Opis bazodanowego typu Image w systemie SQL Server, https://docs.microsoft.com/en-us/sql/t-sql/data-types/ntext-textand-image-transact-sql?view=sql-server-2017& viewFallback From=sql-server-2017, [2018-05-15]
