PostgreSQL Mistakes and How to Avoid Them

Typical mistakes include misusing SQL features, improper data types, neglecting backups, poor security practices, and failing to plan for high availability. [1]

Misusing constructs like NOT IN, BETWEEN, or failing to use CTEs can lead to inefficient queries and subtle bugs, but modern tools like code linters and LLMs can help catch these early. [1] [2] [3] [4]

Using inappropriate data types such as TIMESTAMP WITHOUT TIME ZONE or SERIAL can cause compatibility issues and unexpected behavior, especially during upgrades. [1] [2]

Relying heavily on JSON/JSONB features without understanding their trade-offs can lead to performance bottlenecks and loss of relational advantages. [1]

Partitioning tables, especially with multi-level or sub-partitioning, helps manage large datasets efficiently and avoids common pitfalls with multi-key partitioning. [1] [2]

Disabling autovacuum or allowing too many idle connections can cause table bloat, transaction ID wraparound, and severe performance degradation. [1] [2]

Insecure authentication, careless use of superuser privileges, and unsafe network settings can expose your database to unauthorized access and data loss. [1] [2] [3]

Relying solely on RAID, snapshots, or replication is not enough—robust, tested backups and proven HA tools are needed to ensure data safety and minimize downtime. [1] [2]

Failing to read release notes, not testing upgrades, and overlooking subtle changes in behavior can break business logic and cause outages. [1] [2]

Regular monitoring, following best practices, and continuous learning are key to preventing technical debt and ensuring long-term reliability. [1] [2]