📄️ 8. Advanced SQL Features
Use CTEs, window functions, and JSONB querying for advanced PostgreSQL workloads.
📄️ Common Table Expressions (CTEs)
Choose and apply PostgreSQL CTE patterns to structure complex queries while protecting data quality, storage efficiency, and query performance. Focus: Common Table Expressions (CTEs).
📄️ Recursive CTE Patterns
Choose and apply PostgreSQL recursive CTE patterns to traverse hierarchies while protecting data quality, storage efficiency, and query performance. Focus: Recursive CTE Patterns.
📄️ Temporary Tables
Choose and apply PostgreSQL temporary tables to stage intermediate datasets while protecting data quality, storage efficiency, and query performance. Focus: Temporary Tables.
📄️ Window Functions
Choose and apply PostgreSQL window functions to compute rankings, running totals, and deltas without collapsing detail rows, while protecting correctness and performance. Focus: Window Functions.
📄️ JSONB Querying and Indexing
Choose and apply PostgreSQL jsonb querying patterns and indexing strategies (GIN/expression/partial) to keep semi-structured workloads fast and maintainable. Focus: JSONB Querying and Indexing.