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Common Performance Anti-Patterns

Examples

Example 1: SELECT * Anti-Pattern

Original query:
  SELECT * FROM orders WHERE customer_id = 123;

Issues detected:
  ⚠ SELECT * retrieves all 24 columns including large
    TEXT and BLOB fields not needed for this use case.

Optimized query:
  SELECT order_id, order_date, status, total_amount
  FROM orders
  WHERE customer_id = 123;

Performance impact:
  - Reduces data transfer by ~80%
  - Allows covering index to satisfy query without
    accessing main table rows
  - Reduces memory usage in application layer

Example 2: Missing Index on WHERE Clause Column

Original query:
  SELECT * FROM users WHERE email = 'user@example.com';

EXPLAIN output (without index):
  type: ALL (full table scan)
  rows: 1,250,000
  Extra: Using where

Issues detected:
  ✗ Full table scan on 1.25M rows
  ✗ No index on email column

Recommendation:
  CREATE INDEX idx_users_email ON users(email);

EXPLAIN output (with index):
  type: ref
  rows: 1
  Extra: Using index condition

Performance improvement: ~1,250,000× fewer rows examined
Query time: 2,400ms → 0.8ms

Example 3: Function on Indexed Column

Original query:
  SELECT * FROM orders
  WHERE YEAR(created_at) = 2024;

Issues detected:
  ✗ YEAR() function prevents index usage on created_at
  ✗ Full table scan required even with index present

Optimized query:
  SELECT * FROM orders
  WHERE created_at >= '2024-01-01'
    AND created_at < '2025-01-01';

Why it works:
  The range condition allows the database to use
  the index on created_at for an efficient range scan.

Performance improvement: Full scan → index range scan

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