PostgreSQL for Developers

Create triggers to automate database processes and enforce business rules. Work with BEFORE, AFTER, and INSTEAD OF triggers for DML operations, and explore database event triggers for DDL changes. Learn to reference OLD and NEW qualifiers to capture and manipulate row states. Apply triggers for auditing, data validation, and complex change tracking, and understand best practices for managing trigger privileges and avoiding performance overhead. 

Analyse query performance using EXPLAIN and EXPLAIN ANALYZE to interpret execution plans. Investigate scan and join methods, adjust join order, and apply statement transformation for better performance. Use PostgreSQL’s ANALYZE and CREATE STATISTICS to provide the optimiser with accurate information. Understand parameters that affect query optimisation, tune memory settings, and explore declarative table partitioning for managing large datasets efficiently. 

Perform efficient bulk data transfers using the COPY command for both importing and exporting data. Follow best practices for working with large datasets, including optimising batch sizes and managing constraints during loads. Learn how to prepare data for migration, handle encoding issues, and use COPY in conjunction with file formats suited to your use case. 

Master PostgreSQL’s powerful regular expression capabilities to search, validate, and transform text data. Use match operators and notation for precise pattern control, apply repetition operators to identify varying occurrences, and group sub-expressions for complex matches. Incorporate built-in regular expression functions to clean, extract, or reformat data directly within SQL queries. This enables advanced text processing and data validation without requiring external scripting.