Error
Error Code:
3762
MySQL Error 3762: Functional Index Not Supported
Description
This error indicates that MySQL does not directly support creating an index on an expression or function applied to a column. It typically occurs when attempting to define an index using syntax common in other database systems for functional indexes.
Error Message
Functional index on a column is not supported. Consider using a regular index instead.
Known Causes
3 known causesAttempting Functional Index Creation
You tried to define an index on an expression, function, or calculation involving one or more columns, which is a feature not natively supported by MySQL's indexing engine.
Misunderstanding MySQL Indexing
The error arises from using index creation syntax that works in other SQL databases (e.g., PostgreSQL, Oracle) but is not valid for MySQL's current implementation of indexes.
Direct Expression Indexing
You attempted to index a computed value directly within the CREATE INDEX statement, instead of indexing a stored column or using a generated column for the expression.
Solutions
3 solutions available1. Replace Functional Index with Regular Index easy
Create a standard index on the column(s) used in the functional index.
1
Identify the table and column(s) where the functional index was attempted.
2
Drop the attempted functional index (if it was partially created or if you are re-attempting).
DROP INDEX index_name ON table_name;
3
Create a regular index on the relevant column(s). For example, if you tried to index `UPPER(column_name)`, create an index on `column_name`.
CREATE INDEX index_name ON table_name (column_name);
4
If the functional index was on multiple columns, create a composite index.
CREATE INDEX index_name ON table_name (column1, column2);
2. Materialize Derived Values in a Separate Column medium
Store the computed value of the functional expression in a new column and index that column.
1
Identify the functional expression and the table involved. For example, `UPPER(email)`.
2
Add a new column to the table to store the materialized value. Ensure the data type is appropriate.
ALTER TABLE table_name ADD COLUMN materialized_column VARCHAR(255);
3
Populate the new column with the computed values from the existing column(s). This can be done with an `UPDATE` statement.
UPDATE table_name SET materialized_column = UPPER(email);
4
Create a regular index on the newly created materialized column.
CREATE INDEX index_name ON table_name (materialized_column);
5
Implement a trigger or application-level logic to keep the `materialized_column` synchronized with the source column(s) on INSERT and UPDATE operations.
CREATE TRIGGER update_materialized_column BEFORE INSERT ON table_name FOR EACH ROW SET NEW.materialized_column = UPPER(NEW.email);
6
Modify your queries to use the `materialized_column` for filtering and joining.
SELECT * FROM table_name WHERE materialized_column = 'EXAMPLE@DOMAIN.COM';
3. Review and Simplify Query Logic medium
Re-evaluate queries to avoid the need for functional indexes altogether.
1
Analyze the queries that were intended to use the functional index. Understand why the functional expression was necessary.
2
Consider if the data can be stored in a way that avoids the functional transformation. For example, if you're always storing email addresses in lowercase, you don't need `LOWER()` in your queries or indexes.
3
If the functional transformation is for case-insensitivity, consider setting the column's collation to a case-insensitive one (e.g., `utf8mb4_general_ci`). This allows standard indexes to work for case-insensitive comparisons.
ALTER TABLE table_name MODIFY COLUMN column_name VARCHAR(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci;
4
After simplifying the query or adjusting data storage, create regular indexes on the relevant columns as needed.
CREATE INDEX index_name ON table_name (column_name);