Day 30: Limiting Data with LIMIT in MySQL
Sarasa Jyothsna Kamireddi
Aspiring Python Developer | Machine Learning Enthusiast | Experienced in Reliability Engineering
Today, let us explore the LIMIT clause in MySQL, which helps control the number of records retrieved from a query. It's a great way to optimize performance and fetch only the most relevant data!
? Improves query performance by reducing the dataset size
? Fetches top results (e.g., top 10 customers, latest orders)
? Efficient pagination when working with large datasets
?? Practical Examples:
1. Retrieving Only 5 Records
SELECT * FROM users
LIMIT 5;
2. Fetching the Top 3 Oldest Users
SELECT * FROM users
ORDER BY age DESC
LIMIT 3;
3. Getting the Most Recent Orders
SELECT * FROM orders
ORDER BY order_date DESC
LIMIT 10;
4. Skipping Records with OFFSET (Pagination Purpose)
SELECT * FROM users
LIMIT 5 OFFSET 10;
-- Retrieves 5 users starting from the 11th record
?? Key Takeaways:
? LIMIT helps improve query efficiency
? OFFSET allows skipping records, making pagination easier
? Commonly used with ORDER BY to fetch the most relevant data
Do you use LIMIT in your SQL queries? Let's discuss!
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