How does dry-validation perform in large applications?

How does dry-validation perform in large applications?

Dry-validation is designed to be efficient and scalable, making it suitable for large applications. It uses a lightweight DSL for defining schemas, which helps in maintaining performance even with complex validations.

What are some benchmarks for dry-validation?

Benchmarks show that dry-validation can handle thousands of validations per second, depending on the complexity of the rules defined.

Are there any known limitations?

Yes, while dry-validation is efficient, it may face performance issues with extremely complex nested validations or when used in very high-concurrency environments.

How can I optimize its performance?

You can optimize performance by minimizing the complexity of validation rules, reusing schemas, and leveraging caching for frequently used validations.

Is there a comparison with other validation libraries?

Yes, dry-validation is often compared with libraries like Joi and Yup, with dry-validation being favored for its flexibility and performance in Ruby applications.