Milliseid tööriistu kasutati päringute analüüsimiseks ja optimeerimiseks?

Analysis and optimization of SQL queries often utilize the following tools:

• EXPLAIN / EXPLAIN ANALYZE — built-in commands in database management systems (PostgreSQL, MySQL, Oracle) that show the execution plan of a query, index usage, and cost estimates.
• DBMS profilers — for example, SQL Server Profiler, which allows tracking query execution and identifying bottlenecks.
• Performance monitoring — tools like pg_stat_statements (PostgreSQL), Performance Schema (MySQL) that collect query statistics.
• Plugins and external utilities — for example, pgBadger for analyzing PostgreSQL logs.
• IDEs and plugins — DataGrip, DBeaver with query analysis capabilities.

Example of using EXPLAIN in PostgreSQL:

EXPLAIN ANALYZE SELECT * FROM orders WHERE customer_id = 123;

This will show how the database management system plans to execute the query and how long each operation takes, helping to identify the need for creating indexes or rewriting the query.