Detecting anti-patterns in SQL Queries using Text Classification TechniquesJournal: International Journal of Advanced Engineering Research and Science (Vol.6, No. 4)
Publication Date: 2019-04-10
Authors : Abdou Rahmane Ousmane Hongwei Xie;
Page : 305-309
Keywords : SQL; relational database; text classification techniques.;
A major problem with using relational databases, is writing efficient SQL queries. Some common errors known as anti-patterns are frequent in SQL queries and can seriously impact the query execution time and sometimes, the database general performance. This paper shows how ma-chine learning techniques can be lever-aged to detect anti-patterns in SQL queries by approaching the problem as a text classification problem. Our result is a model based on a convolutional neural net-work that can be used to classify a SQL query into zero, one or many anti-patterns classes.
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Last modified: 2019-04-26 13:26:08