Avro Schema Generator
Generate Apache Avro schemas from a JSON field definition. Configure namespace, record name, and field types — outputs valid Avro schema JSON. Code never leaves your device — formatting and validation run locally in your browser.
How to Use the Avro Schema Generator
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Frequently Asked Questions
What is Apache Avro?
Avro is a row-based data serialization format used in big data systems (Kafka, Spark, Hadoop). It uses JSON-defined schemas to specify data structure, enabling compact binary encoding and schema evolution.
What field types are supported?
All Avro types: string, int, long, float, double, boolean, bytes, null, record, enum, array, map, and union (nullable fields). Nested records are fully supported.
Can I define default values?
Yes. Each field can have a default value that matches its type. Default values enable schema evolution — new fields can be added without breaking existing readers.
What is the output format?
The output is valid Avro schema JSON that can be used directly with Avro serializers, Kafka schema registries, or Spark/Flume/Hadoop configurations.
Is the schema data stored?
No. All generation happens locally in your browser. No schema data is sent to any server.
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Last updated October 2026