DO NOT do this in PostgreSQL - a list of things not recommended along with the correct solution for each problem (if one exists)

The article titled "Don't Do This" on the PostgreSQL Wiki discusses a range of practices to avoid when working with the PostgreSQL database. The authors address specific errors that can lead to inefficiencies, system failures, and data loss. One of the key principles emphasized is the avoidance of inappropriate data types, which can result in performance and scalability issues with databases. Additionally, the article highlights the importance of proper indexing, which can significantly improve data retrieval speed. Another critical point made is to steer clear of overly complex queries that may impact database response times and cause server overloads.

In the context of connection management, the article stresses the importance of avoiding the creation of too many connections to the database, as this can lead to exhaustion of system resources. Instead, it recommends using connection pooling, which can provide better application performance. Furthermore, developers are encouraged not to ignore performance monitoring. Regularly checking database statistics and logs allows for early detection of problems and their quick resolution.

The article also discusses the importance of using transactions where necessary to ensure data integrity. Frequent and ill-considered use of transactions can lead to deadlocks and slow down application performance. Therefore, it is crucial to consciously design the use of transactions, which can bring a range of benefits for both performance and application stability.

In summary, the article "Don't Do This" serves as a valuable source of practical advice for programmers and database administrators who want to avoid common pitfalls associated with PostgreSQL. It underscores that a mindful approach to database system design and the avoidance of typical errors can significantly impact performance and security. Readers are encouraged to familiarize themselves with the article's content and implement the discussed practices in their daily work with PostgreSQL databases.