How to validate JSON schema in PHP with Webmozart JSON?

Use the JsonEncoder or JsonDecoder with a schema path argument, or the JsonValidator separately. It throws ValidationFailedException on errors, making integration straightforward in try-catch blocks.

Webmozart JSON vs native json_encode in PHP?

Webmozart JSON adds schema validation, version migration, and better error handling, but has performance overhead. Native functions are faster for simple tasks but lack these advanced features for data integrity.

How to migrate JSON data versions with Webmozart JSON?

Implement JsonMigration interfaces for each version change, then use MigratingConverter with a MigrationManager. This automates data transformation when schemas evolve, reducing manual updates.

Is Webmozart JSON good for API development?

Yes, for APIs requiring strict data validation and schema evolution, but consider the performance cost. It's best for internal or validation-heavy APIs rather than high-speed public endpoints.

How to handle offline schema validation?

Configure LocalUriRetriever to map remote schema URLs to local files, then pass it to JsonValidator, JsonEncoder, or JsonDecoder. This avoids network calls and improves reliability in offline environments.

Webmozart JSON or Symfony Serializer for JSON?

Webmozart JSON focuses on validation and migration, while Symfony Serializer handles broader serialization formats. Use Webmozart JSON when validation is critical; Symfony for flexible serialization without built-in schema support.

Open-Awesome

Webmozart JSON

MITPHP1.2.2

A robust PHP JSON encoder/decoder with built-in schema validation and version migration support.

GitHub

352 stars27 forks0 contributors

What is Webmozart JSON?

Webmozart JSON is a PHP library that wraps native JSON functions to provide consistent behavior across PHP versions, meaningful error handling, and built-in JSON Schema validation. It solves the problem of unreliable JSON parsing and the lack of integrated validation in standard PHP, making JSON data processing more robust and maintainable.

Target Audience

PHP developers working with JSON APIs, configuration files, or data serialization who need validation, versioning, or consistent error handling across different PHP environments.

Value Proposition

Developers choose Webmozart JSON for its seamless integration of JSON Schema validation, automated migration between schema versions, and reliable error handling—features not available in PHP's native JSON functions, reducing boilerplate and increasing data integrity.

Overview

A robust JSON decoder/encoder with support for schema validation.

Use Cases

Best For

Validating JSON configuration files against a schema
Building JSON APIs with strict data validation requirements
Migrating JSON data between different schema versions
Ensuring consistent JSON encoding/decoding across PHP versions
Encapsulating object-to-JSON conversion logic
Handling JSON with offline schema validation

Not Ideal For

Projects that only need basic JSON encoding/decoding without validation or enhanced error handling
High-performance APIs where the latency from schema validation and remote fetching is unacceptable
Teams already using comprehensive validation frameworks like Symfony Validator that duplicate functionality

Pros & Cons

Pros

Integrated Schema Validation

Validates JSON data against JSON Schema during encoding and decoding by default, ensuring data integrity without separate validation steps.

Automated Version Migration

Supports migration between schema versions via JsonMigration interfaces, simplifying data evolution and reducing manual migration work.

Robust Error Handling

Throws clear exceptions like ValidationFailedException for JSON errors and validation failures, improving debugging across PHP versions.

Local Schema Optimization

Allows mapping remote schema URLs to local files via LocalUriRetriever, enabling offline validation and reducing network latency.

Cons

Mandatory Validation Overhead

When the $schema property is set, validation is always enforced during encoding/decoding, which can be inflexible and add unnecessary performance costs for simple use cases.

Configuration Complexity

Setting up local schema mappings, implementing converters, and managing migrations requires significant boilerplate code, increasing initial setup time.

Performance Trade-offs

Schema validation and additional processing layers introduce latency compared to native JSON functions, making it less suitable for high-throughput applications.

Frequently Asked Questions

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