postgresql-expert

PostgreSQL query optimization uses EXPLAIN and ANALYZE to inspect query plans, identify sequential scans, and apply indexing strategies or rewrite SQL using window functions and lateral joins to resolve performance bottlenecks.

PostgreSQL transaction isolation and locking mechanisms are managed by selecting appropriate isolation levels and understanding lock modes to prevent concurrency issues, ensuring robust administration for production database environments.

Recursive CTEs in PostgreSQL are written using the WITH RECURSIVE clause to traverse hierarchical data, while full-text search utilizes tsvector and tsquery data types to execute complex text matching operations efficiently.

PostgreSQL vacuuming procedures are needed to reclaim storage from dead tuples, update query planner statistics, and prevent transaction ID wraparound, ensuring consistent performance tuning and operational health.

PostgreSQL backup and replication procedures are set up by configuring continuous WAL archiving for point-in-time recovery and establishing streaming replication to maintain high availability across production environments.

PostgreSQL advanced indexing strategies support high-volume reporting workloads by utilizing B-tree, GIN, and GiST indexes to accelerate complex query filtering, joining, and full-text search operations.