Database Management
- How to Add an Index
- How to Create a Table
- How to Delete a Table
- How to Rename a Table
- How to Truncate a Table
- How to Duplicate a Table
- How to Add a Column
- How to Remove a Column
- How to Change a Column Name
- How to Set a Column with Default Value
- How to Remove a Default Value to a Column
- How to Add a Not Null Constraint
- How to Remove a Not Null Constraint
- How to Drop an Index
- How to Create a View
- How to Drop a View
- How to Alter Sequence
Dates and Times
Analysis
- How to Use Coalesce
- How to Calculate Percentiles
- How to Get the First Row per Group
- How to Avoid Gaps in Data
- How to Do Type Casting
- How to Write a Common Table Expression
- How to Import a CSV
- How to Compare Two Values When One is Null
- How to Write a Case Statement
- How to Query a JSON Column
- How to Have Multiple Counts
- How to Calculate Cumulative Sum-Running Total
How to Add an Index in MySQL
Indexes are essential for optimizing the performance of your MySQL database. They help speed up queries, especially on large datasets, by allowing the database engine to locate rows more efficiently.
What is an Index?
An index in MySQL is a data structure that improves the speed of data retrieval operations on a table at the cost of additional space and maintenance overhead when inserting, updating, or deleting rows.
Why Use Indexes?
- Speed up SELECT queries
- Improve JOIN performance
- Enforce uniqueness with
UNIQUE
indexes - Optimize sorting and grouping operations
How to Add an Index
You can add an index to a MySQL table using the CREATE INDEX
statement or by altering the table. Here’s how:
1. Using CREATE INDEX
CREATE INDEX index_name ON table_name (column_name);
Example:
CREATE INDEX idx_email ON users (email);
2. Using ALTER TABLE
ALTER TABLE table_name ADD INDEX index_name (column_name);
Example:
ALTER TABLE users ADD INDEX idx_email (email);
Types of Indexes
- PRIMARY KEY — A unique index that uniquely identifies each row
- UNIQUE — Ensures all values in the index are distinct
- FULLTEXT — Used for full-text searches
- SPATIAL — For spatial (GIS) data types
Best Practices
- Index columns that appear in
WHERE
,JOIN
,ORDER BY
, orGROUP BY
clauses - Avoid over-indexing; too many indexes can slow down write operations
- Use composite indexes when querying multiple columns together
- Regularly monitor and analyze query performance
Verifying Indexes
Check existing indexes on a table with:
SHOW INDEXES FROM table_name;
Conclusion
Adding indexes is one of the most effective ways to improve the performance of your MySQL queries. Be sure to test and monitor their impact, as the right balance between read and write performance is key to a well-optimized database.