Avro Formatter

This schema formatting utility beautifies Apache Avro schema definitions by parsing JSON structure and applying consistent indentation for improved readability. Avro schemas define data serialization formats commonly used with Apache Kafka, Hadoop ecosystems, and event streaming platforms. The formatter validates schema structure checking for required fields like type, name, namespace, and proper field definitions.

The tool supports all Avro primitive types (null, boolean, int, long, float, double, bytes, string) and complex types (record, enum, array, map, union, fixed). Schema validation identifies missing required elements such as name fields for records, symbols arrays for enums, and items specifications for arrays. Warning messages suggest improvements like adding namespace declarations for better schema organization.

Sample schemas demonstrate common patterns including user records with nested types, event logs with enum fields, and product catalogs with decimal pricing. Minify mode compresses schemas for deployment while format mode expands them for editing. Export functionality downloads formatted schemas as .avsc files, the standard Avro schema extension. All processing occurs locally without external API calls, suitable for formatting proprietary schema definitions.