Enhancing Query Speed with LIMIT Clause in MySQL

Optimize Query Performance with LIMIT Clause

Write a MySQL query that retrieves the first 10 products from the Products table and uses EXPLAIN to analyze its performance.

Solution:

-- Use EXPLAIN to analyze the query retrieving the first 10 records from the Products table.
EXPLAIN SELECT * FROM Products LIMIT 10;

Explanation:

• Purpose of the Query:
• To analyze how MySQL handles a query that limits the result set.
• Demonstrates the use of the LIMIT clause for performance gains on large tables.
• Key Components:
• EXPLAIN : Provides the execution plan details.
• LIMIT 10 : Restricts the output to 10 rows.
• Real-World Application:
• Often used in applications for pagination or previewing data without scanning the entire table.

Notes:

• LIMIT can reduce the query load, but ensure that the table is appropriately indexed for filtering if needed.
• Use EXPLAIN to check that the query does not perform unnecessary full table scans.

For more Practice: Solve these Related Problems:

• Write a MySQL query to retrieve the first 5 products from the Products table and use EXPLAIN to analyze its performance.
• Write a MySQL query to retrieve the top 10 highest-paid employees from the Employees table and use EXPLAIN to analyze its performance.
• Write a MySQL query to retrieve the first 20 orders from the Orders table and use EXPLAIN to analyze its performance.
• Write a MySQL query to retrieve the first 15 customers from the Customers table and use EXPLAIN to analyze its performance.

Go to:

• MySQL Query Optimization Exercises Home. ↩
• MySQL Exercises Home ↩

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