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    MySQL Query Optimization: 10 Techniques

    Real-world MySQL optimization strategies — proper indexing, EXPLAIN analysis, N+1 query prevention, and caching patterns for high-traffic apps.

    9 min read149 words
    MySQL Query Optimization: 10 Techniques

    Why Optimization Matters

    A slow database query can bring down an entire application under load. These 10 techniques will dramatically improve performance.

    1. Use EXPLAIN

    hljs sql
    EXPLAIN SELECT * FROM users WHERE email = 'user@example.com';
    

    Look for type: ALL (full table scan) — that needs an index.

    2. Add the Right Indexes

    hljs sql
    CREATE INDEX idx_users_email ON users(email);
    CREATE INDEX idx_posts_user_date ON posts(user_id, created_at DESC);
    

    1. Avoid SELECT *
    hljs sql
    -- BAD
    SELECT * FROM users WHERE id = 1;
    
    -- GOOD
    SELECT id, name, email FROM users WHERE id = 1;
    

    4. Fix N+1 in

    Laravel

    hljs php
    // BAD - N+1
    $posts = Post::all();
    foreach ($posts as $post) {
        echo $post->author->name; // query per post
    }
    
    // GOOD - eager load
    $posts = 
      Post::with('author')->get();
    

    5. Use Query Caching

    hljs php
    $users = Cache::remember('active_users', 3600, function () {
        return User::where('active',
      true)->get();
    });
    

    These patterns reduced query time by 80% on a 2M-row table in production.

    MySQLDatabasePerformanceLaravelBackend
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    Written by

    Jasmin Shukla
    Jasmin ShuklaAuthor
    Freelance Laravel & React Developer

    Jasmin Shukla is a freelance Laravel and React developer with 8+ years of experience building SaaS platforms, REST APIs, and AI-powered web applications for clients worldwide.

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