Home Database Mysql Tutorial How Can I Achieve Accent-Insensitive Searches in PostgreSQL?

How Can I Achieve Accent-Insensitive Searches in PostgreSQL?

Jan 20, 2025 pm 12:21 PM

How Can I Achieve Accent-Insensitive Searches in PostgreSQL?

PostgreSQL's Approach to Accent-Insensitive Searching

Unlike some databases (like Microsoft SQL Server), PostgreSQL doesn't natively support accent-insensitive collations. While PostgreSQL 12 introduced non-deterministic ICU collations offering case and accent insensitivity, these come with performance trade-offs and operational restrictions.

Strategies for Accent-Insensitive Queries in PostgreSQL

Several methods exist to achieve accent-insensitive searching in PostgreSQL:

1. The unaccent Module:

This module provides the unaccent() function, removing accents from strings. This allows queries like:

SELECT * FROM users WHERE unaccent(name) = unaccent('João');
Copy after login

However, unaccent() isn't IMMUTABLE, preventing its use in expression indexes, and it doesn't expand ligatures (e.g., 'Œ').

2. Optimized C Function Wrapper:

To address unaccent()'s limitations, a more efficient solution involves creating an IMMUTABLE C function wrapper:

CREATE OR REPLACE FUNCTION public.f_unaccent(text)
  RETURNS text
  LANGUAGE sql IMMUTABLE PARALLEL SAFE STRICT
RETURN public.immutable_unaccent(regdictionary 'public.unaccent', );
Copy after login

This allows for the creation of expression indexes:

CREATE INDEX users_unaccent_name_idx ON users(public.f_unaccent(name));
Copy after login

Queries then use the wrapped function:

SELECT * FROM users WHERE f_unaccent(name) = f_unaccent('João');
Copy after login

3. Leveraging pg_trgm for Pattern Matching and Ligatures:

For more flexible pattern matching and ligature handling, the pg_trgm module with trigram indexes offers a powerful solution. A trigram GIN index enables case-insensitive searches and similarity detection:

CREATE INDEX users_unaccent_name_trgm_idx ON users
USING gin (f_unaccent(name) gin_trgm_ops);

SELECT * FROM users WHERE f_unaccent(name) LIKE ('%' || f_unaccent('João') || '%');
Copy after login

Note that pg_trgm indexes are more resource-intensive than standard B-tree indexes.

Choosing the optimal approach depends on the specific needs of your application, balancing query performance with index maintenance costs and the requirement for ligature handling.

The above is the detailed content of How Can I Achieve Accent-Insensitive Searches in PostgreSQL?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1266
29
C# Tutorial
1239
24
When might a full table scan be faster than using an index in MySQL? When might a full table scan be faster than using an index in MySQL? Apr 09, 2025 am 12:05 AM

Full table scanning may be faster in MySQL than using indexes. Specific cases include: 1) the data volume is small; 2) when the query returns a large amount of data; 3) when the index column is not highly selective; 4) when the complex query. By analyzing query plans, optimizing indexes, avoiding over-index and regularly maintaining tables, you can make the best choices in practical applications.

MySQL: Simple Concepts for Easy Learning MySQL: Simple Concepts for Easy Learning Apr 10, 2025 am 09:29 AM

MySQL is an open source relational database management system. 1) Create database and tables: Use the CREATEDATABASE and CREATETABLE commands. 2) Basic operations: INSERT, UPDATE, DELETE and SELECT. 3) Advanced operations: JOIN, subquery and transaction processing. 4) Debugging skills: Check syntax, data type and permissions. 5) Optimization suggestions: Use indexes, avoid SELECT* and use transactions.

MySQL: The Ease of Data Management for Beginners MySQL: The Ease of Data Management for Beginners Apr 09, 2025 am 12:07 AM

MySQL is suitable for beginners because it is simple to install, powerful and easy to manage data. 1. Simple installation and configuration, suitable for a variety of operating systems. 2. Support basic operations such as creating databases and tables, inserting, querying, updating and deleting data. 3. Provide advanced functions such as JOIN operations and subqueries. 4. Performance can be improved through indexing, query optimization and table partitioning. 5. Support backup, recovery and security measures to ensure data security and consistency.

MySQL's Role: Databases in Web Applications MySQL's Role: Databases in Web Applications Apr 17, 2025 am 12:23 AM

The main role of MySQL in web applications is to store and manage data. 1.MySQL efficiently processes user information, product catalogs, transaction records and other data. 2. Through SQL query, developers can extract information from the database to generate dynamic content. 3.MySQL works based on the client-server model to ensure acceptable query speed.

MySQL: An Introduction to the World's Most Popular Database MySQL: An Introduction to the World's Most Popular Database Apr 12, 2025 am 12:18 AM

MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

Explain the role of InnoDB redo logs and undo logs. Explain the role of InnoDB redo logs and undo logs. Apr 15, 2025 am 12:16 AM

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

MySQL's Place: Databases and Programming MySQL's Place: Databases and Programming Apr 13, 2025 am 12:18 AM

MySQL's position in databases and programming is very important. It is an open source relational database management system that is widely used in various application scenarios. 1) MySQL provides efficient data storage, organization and retrieval functions, supporting Web, mobile and enterprise-level systems. 2) It uses a client-server architecture, supports multiple storage engines and index optimization. 3) Basic usages include creating tables and inserting data, and advanced usages involve multi-table JOINs and complex queries. 4) Frequently asked questions such as SQL syntax errors and performance issues can be debugged through the EXPLAIN command and slow query log. 5) Performance optimization methods include rational use of indexes, optimized query and use of caches. Best practices include using transactions and PreparedStatemen

Why Use MySQL? Benefits and Advantages Why Use MySQL? Benefits and Advantages Apr 12, 2025 am 12:17 AM

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

See all articles