sqladvanced
Read EXPLAIN ANALYZE Output
Use EXPLAIN ANALYZE to understand and optimize query execution plans.
sqlPress ⌘/Ctrl + Shift + C to copy
-- Basic EXPLAIN ANALYZE
EXPLAIN ANALYZE
SELECT o.order_id, c.name, o.total
FROM orders o
JOIN customers c ON o.customer_id = c.customer_id
WHERE o.order_date >= '2025-01-01'
ORDER BY o.total DESC
LIMIT 100;
-- EXPLAIN with all options (PostgreSQL)
EXPLAIN (ANALYZE, BUFFERS, FORMAT JSON)
SELECT department, AVG(salary)
FROM employees
GROUP BY department
HAVING AVG(salary) > 75000;
-- Check if index is used
EXPLAIN ANALYZE
SELECT * FROM orders
WHERE customer_id = 42;
-- Look for: Index Scan vs Seq Scan
-- Look for: actual time vs estimated rowsUse Cases
- Query performance tuning
- Index effectiveness checks
- Database optimization
Tags
Related Snippets
Similar patterns you can reuse in the same workflow.
sqladvanced
SQL Index Strategy Patterns
Create effective indexes including composite, partial, covering, and expression-based indexes.
Best for: Optimizing slow database queries
#sql#indexes
sqlintermediate
SQL EXPLAIN ANALYZE for Query Tuning
Use EXPLAIN ANALYZE to understand query plans, identify bottlenecks, and optimize slow queries.
Best for: Diagnosing and fixing slow database queries
#sql#explain
sqlbeginner
EXISTS vs IN Subquery Patterns
Choose between EXISTS and IN subqueries for optimal performance based on data distribution.
Best for: Filtering with related tables
#subquery#exists
sqlintermediate
Covering Index (INCLUDE Columns)
Create covering indexes with INCLUDE columns to satisfy queries entirely from the index.
Best for: Index-only scans
#indexing#performance