TY - JOUR AU - Araújo, Arlino H. M. de AU - Monteiro, José Maria AU - Macêdo, José Antônio F. de AU - Tavares, Júlio A. AU - Brayner, Angelo AU - Lifschitz, Sérgio PY - 2014/07/18 Y2 - 2024/03/28 TI - ARe-SQL: An Online, Automatic and Non-Intrusive Approach for Rewriting SQL Queries JF - Journal of Information and Data Management JA - JIDM VL - 5 IS - 1 SE - SBBD 2013 Short Papers DO - 10.5753/jidm.2014.1517 UR - https://sol.sbc.org.br/journals/index.php/jidm/article/view/1517 SP - 28 AB - Database applications have become very complex, dealing with a huge volume of data and database objects. Concurrently, low query response time and high transaction throughput have emerged as mandatory requirements. Among other possible interventions regarding database performance, SQL query rewriting has been shown efficient. The idea is to rewrite a new SQL statement equivalent to the statement initially formulated, where the new SQL statement  provides performance gains w.r.t. query response time. In this article, we propose  an online, automatic and non-intrusive approach for rewriting SQL queries, denoted ARe-SQL. ARe-SQL rewrites SQL statements, using a set of 11 heuristics. Based on ARe-SQL, two different strategies for SQL-query rewriting, denoted assisted and automatic, were implemented. These strategies were evaluated in three different DBMSs considering three distinct scenarios. The results indicate that both strategies can provide performance gains, which, in some cases, reach 92.5%. ER -