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Table of Contents
The basic structure of composite index
How to effectively utilize composite indexes?
Suggestions for creating composite indexes
Note: Common scenarios of index failure
Home Database Mysql Tutorial mysql composite index example

mysql composite index example

Jul 12, 2025 am 01:36 AM

MySQL composite index follows the principle of leftmost prefix, and the query condition must include the leftmost column of the index before it can hit the index. 1. The index structure is organized in the order of definition, such as (name, age, city) first sorted by name, and then subdivided in sequence; 2. The hit condition includes continuous combinations starting with the leftmost column, such as WHERE name=... or WHERE name=...AND age=...; 3. If the leftmost column is not included, it cannot be hit if only age or city is used; 4. When creating, the high-divided and commonly used query fields should be placed in front of it, and redundancy and excessive indexing should be avoided; 5. Using functions, OR without index support, fuzzy matching at the beginning of % will cause the index to fail.

mysql composite index example

The Composite Index of MySQL, also known as a joint index, refers to the index created on multiple columns of a table. The rational use of composite indexes can significantly improve query performance, but if you do not understand its principles, it may have a negative effect.

mysql composite index example

The basic structure of composite index

Composite indexes are organized in the order of columns when defined. For example, if you create an index (name, age, city) , then the index is sorted by name first, then sorted by age when name is the same, and finally sorted by city .

For example:

mysql composite index example
 CREATE INDEX idx_name_age_city ON users(name, age, city);

This statement will create a composite index on name , age , and city of the users table.

This structure determines that when you write query conditions, you should try to start using it from the leftmost column, otherwise the index may not take effect.

mysql composite index example

How to effectively utilize composite indexes?

The key to using composite indexes is the "leftmost prefix" principle. That is, the query condition must include the column on the leftmost index in order to hit the index.

Several common situations:

  • WHERE name = 'Tom' ? Can hit it
  • WHERE name = 'Tom' AND age = 25 ? Can hit
  • WHERE name = 'Tom' AND age > 20 AND city = 'Beijing' ? Can hit it
  • WHERE age = 25 AND city = 'Beijing' ? It will not hit because the leftmost column name is not used
  • WHERE city = 'Beijing' ? Also won't hit

Therefore, when designing a query statement, try to let the conditions start from the leftmost column of the composite index, so that it is possible to scan the index.


Suggestions for creating composite indexes

Creating a composite index does not just add a few columns together. There are a few practical suggestions:

  • Highly distinguished column front
    For example, compared with gender and age, the age difference is higher and more suitable for putting it in front.

  • Commonly used query fields are preferred
    If you often use (user_id, status) as query conditions, then these two fields are suitable for forming a composite index.

  • Avoid redundant indexing
    For example, if you already have (name, age) index, it will be unnecessary to create a (name) index separately, because the former can already cover the needs of the latter.

  • Don't over-create indexes
    Although indexing speeds up querying, it will also affect insertion and update performance. Especially for tables with more writing and less reading, the more indexes, the greater the burden.


Note: Common scenarios of index failure

Even if you create a composite index, if the query method is wrong, you still cannot hit the index:

  • Manipulate fields with functions or expressions, for example:
     WHERE YEAR(create_time) = 2023
  • OR and some conditions are not supported by index
  • There are fuzzy matches starting with % in the query, for example:
     WHERE name LIKE '%Tom'

    These will cause index failure and special attention is required.


    Basically that's it. Composite indexing is a good tool, but you have to use the right place and understand its structure and usage rules to truly give full play to your performance advantages.

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