Here are a few title options, keeping in mind the question format and the article\'s focus on case-insensitive queries between MySQL and Postgres: Option 1 (Direct and concise): How to Write Case-In

How to Craft Case Insensitive Queries across MySQL and Postgres

One of the challenges faced by developers is ensuring compatibility of database queries between different DBMS. A common scenario involves writing a case insensitive query that works seamlessly in both MySQL and Postgres. Let's explore how to tackle this issue.

The approach suggested in the provided answer is to avoid using different software stacks for development and production environments. This recommendation stems from the potential for introducing bugs that are difficult to reproduce in the development environment.

However, it's worth noting that there are some potential solutions for addressing case-insensitive LIKE statements in both MySQL and Postgres.

MySQL:

• Use UPPER() or LOWER() functions to convert the search string and table column to uppercase or lowercase, respectively.

Postgres:

• Utilize the case-insensitive operator ~ or ~* in LIKE statements.

Alternative Cross-DBMS Solutions:

• If possible, modify the database schema to use COLLATE statements, ensuring uniformity in collation across the MySQL and Postgres databases.
• Implement a middleware or DAO (Data Access Object) that handles the differences in LIKE statements based on the underlying DBMS.

While using different software stacks for development and production may not be ideal, it's not always avoidable. In such cases, developers need to be aware of potential incompatibilities and implement appropriate measures to ensure data consistency across different environments.

Ultimately, the best approach will depend on the specific requirements of the application and the constraints of the development and production environments.

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