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Step 16
4 min read

Optimizing Joins

Learn how to make JOIN queries run faster.

Why JOINs Can Be Slow

JOIN Speed Comparison
JOIN TypeSpeedUse When
INNER JOINFastestNeed matching rows only
LEFT JOINSlowerNeed all from left table
CROSS JOINSlowestRarely needed
3 rows

JOINs compare rows from multiple tables. More rows = slower.

Rule 1: Index JOIN Columns

JOIN Speed Comparison
JOIN TypeSpeedUse When
INNER JOINFastestNeed matching rows only
LEFT JOINSlowerNeed all from left table
CROSS JOINSlowestRarely needed
3 rows
-- Create index on the column you join CREATE INDEX idx_customer ON orders(customer_id); -- Now this JOIN is fast SELECT * FROM customers JOIN orders ON customers.id = orders.customer_id;

Rule 2: Filter Early

JOIN Speed Comparison
JOIN TypeSpeedUse When
INNER JOINFastestNeed matching rows only
LEFT JOINSlowerNeed all from left table
CROSS JOINSlowestRarely needed
3 rows
-- Filter with WHERE to reduce rows before joining SELECT * FROM customers c JOIN orders o ON c.id = o.customer_id WHERE o.date > '2024-01-01'; -- Less rows to join

Rule 3: Choose Right JOIN

JOIN Speed Comparison
JOIN TypeSpeedUse When
INNER JOINFastestNeed matching rows only
LEFT JOINSlowerNeed all from left table
CROSS JOINSlowestRarely needed
3 rows

Summary

JOIN Speed Comparison
JOIN TypeSpeedUse When
INNER JOINFastestNeed matching rows only
LEFT JOINSlowerNeed all from left table
CROSS JOINSlowestRarely needed
3 rows
  • Index columns used in ON clause
  • Filter early with WHERE
  • Use INNER JOIN when possible

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