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Error Messages in Relational Database Systems

Reviewed by Eddie Antonio Santos / 2021-10-26
Keywords: Databases, Error Messages

When I was first introduced to SQL in my undergraduate database course, we were trained on an Oracle SQL instance. Taipalus2021 provides evidence that I may have been just a bit happier had we used PostgreSQL instead.

Taipalus2021 studied how choice of database management system (DBMS) affected the effectiveness and subjective experience of novices when correcting SQL syntax errors. Overall, novices reported that the error messages produced by PostgreSQL and Microsoft SQL Server were more useful than error messages from MySQL, meanwhile Oracle's error messages were usually deemed the least useful—perhaps because its messages generally do a poor job of indicating where an error occurs in a query. However the practical differences are slight: to put it in perspective, expect a 3/5 star rating for Oracle's error messages to a 4/5 rating for PostgreSQL and SQL Server.

In almost all cases, the choice of DBMS and their associated error messages had little effect on whether the novices could actually fix the error. So even if you choose PostgreSQL over MySQL for your next project, you'll still need to spend time training juniors how to write queries.

Taipalus2021 Toni Taipalus, Hilkka Grahn, and Hadi Ghanbari: "Error messages in relational database management systems: A comparison of effectiveness, usefulness, and user confidence". Journal of Systems and Software, 181, 2021, 10.1016/j.jss.2021.111034.

The database and the database management system (DBMS) are two of the main components of any information system. Structured Query Language (SQL) is the most popular query language for retrieving data from the database, as well as for many other data management tasks. During system development and maintenance, software developers use a considerable amount of time to interpret compiler error messages. The quality of these error messages has been demonstrated to affect software development effectiveness, and correctly formulating queries and fixing them when needed is an important task for many software developers. In this study, we set out to investigate how participants (N = 152) experienced the qualities of error messages of four popular DBMSs in terms of error message effectiveness, perceived usefulness for finding and fixing errors, and error recovery confidence. Our results show differences between the DBMSs by three of the four metrics, and indicate a discrepancy between objective effectiveness and subjective usefulness. The results suggest that although error messages have perceived differences in terms of usefulness for finding and fixing errors, these differences may not necessarily result in differences in query fixing success rates.