Master MySQL Indexes: Key Concepts, Pros, Cons, and When to Use Them
This article explains MySQL indexes—what they are, their advantages and disadvantages, how they improve query performance, and the scenarios where you should or shouldn't create them—plus a free PDF of interview questions for deeper study.
What is an index?
An index is a data structure used by the storage engine to speed up access to database tables.
Advantages and disadvantages of indexes
Advantages:
Accelerates data lookup speed
Adding an index to fields used for sorting or grouping can speed up grouping and sorting
Speeds up joins between tables
Disadvantages:
Creating an index consumes physical storage space
It reduces the efficiency of insert, delete, and update operations because each modification must dynamically maintain the index , lengthening operation time
Purpose of indexes
Data is stored on disk; without an index, querying loads all data into memory and scans sequentially, causing many disk reads. With an index, only 2‑4 disk reads are needed (B+ tree height), dramatically improving query speed.
When to create an index
Fields frequently used in queries
Fields often used in joins, to speed up join operations
Fields frequently sorted, as indexes are pre‑sorted and accelerate sorting queries
When not to create an index
Fields not used in where conditions are unsuitable for indexing
Tables with very few records
When frequent insert, delete, or update operations occur
Columns involved in calculations are not suitable for indexing
Columns with low selectivity (e.g., gender) are not suitable for indexing
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Programmer DD
A tinkering programmer and author of "Spring Cloud Microservices in Action"
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