Analysis of the possibilities of optimizing SQL queries
Piotr Rymarski
piotr.rymarski@pollub.edu.plstudent (Poland)
Grzegorz Kozieł
Lublin University of Technology (Poland)
Abstract
Most of today's web applications run on relational database systems. Communication with them is possible through statements written in Structured Query Language (SQL). This paper presents the most popular relational database management systems and describes common ways to optimize SQL queries. Using the research environment based on fragment of the imdb.com database, implementing OracleDb, MySQL, Microsoft SQL Server and PostgreSQL engines, a number of test scenarios were performed. The aim was to check the performance changes of SQL queries resulting from syntax modication while maintaining the result, the impact of database organization, indexing and advanced mechanisms aimed at increasing the eciency of operations performed, delivered in the systems used. The tests were carried out using a proprietary application written in Java using the Hibernate framework.
Keywords:
query;, optimization;, analysisReferences
R. Greenwald, R. Stackowiak, J. Stern, Oracle Essentials, Fifth Edition, O’Reilly Media, Sebastopol, 2013.
Google Scholar
P. Muryjas, M. Skublewska-Paszkowska, D. Gutek, Współczesne Technologie Informatyczne. Eksploatacja baz danych, Politechnika Lubelska, 2011.
Google Scholar
Editions and supported features of SQL Server, https://docs.microsoft.com/en-us/sql/sql-server/editions-and-components-of-sql-server-version-15?view=sql-server-ver15, [29.12.2020].
Google Scholar
What is PostgreSQL, https://www.postgresql.org/about/, [29.12.2020].
Google Scholar
What is SQL, https://www.infoworld.com/article/3219795/what-is-sql-the-lingua-franca-of-data-analysis.html, [02.01.2021].
Google Scholar
DB-Engines Ranking, https://db-engines.com/en/ranking, [02.12.2020].
Google Scholar
Oracle Database Features, https://docs.oracle.com/cd/B19306˙01/server.102/b14220/intro.html, [29.12.2020].
Google Scholar
Why Do Databases Crash, https://www.zmanda.com/blog/why-do-databases-crash-and-what-to-do-about-it/, [21.01.2021].
Google Scholar
IMDb Datasets, https://www.imdb.com/interfaces/, [02.12.2020]
Google Scholar
Authors
Grzegorz KoziełLublin University of Technology Poland
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