Boosting Query Speed by Creating Indexes in MySQL
Add an Index for Query Optimization
Write a MySQL query to add an index on the CustomerID column in the Orders table to improve query performance.
Solution:
-- Add an index on the "CustomerID" column in the Orders table.
ALTER TABLE Orders ADD INDEX idx_customer (CustomerID);
Explanation:
- Purpose of the Query:
- To create an index that accelerates queries filtering or joining on the CustomerID column.
- Demonstrates how indexing can improve query performance.
- Key Components:
- ALTER TABLE Orders : Specifies the table to be altered.
- ADD INDEX idx_customer (CustomerID) : Creates an index named idx_customer on the CustomerID column.
- Real-World Application:
- Enhances the performance of queries that frequently use the CustomerID field in WHERE or JOIN clauses.
Notes:
- Ensure that the column data type is appropriate for indexing.
- Adding indexes can speed up SELECT queries but may slow down INSERT or UPDATE operations.
For more Practice: Solve these Related Problems:
- Write a MySQL query to add an index on the `OrderDate` column in the Orders table to improve query performance.
- Write a MySQL query to add an index on the `ProductName` column in the Products table to optimize search queries.
- Write a MySQL query to add an index on the `Email` column in the Users table to speed up login authentication queries.
- Write a MySQL query to add an index on the `CategoryID` column in the Products table to enhance filtering by category.
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Previous MySQL Exercise: Analyze Query Performance with EXPLAIN
Next MySQL Exercise: Optimize Query with WHERE Clause using Indexed Column.
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