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How to Format Avro Schemas - Step by Step Guide

Step 1

Input Your Avro Schema

Paste your Avro schema into the editor or upload an .avsc or .json file. The formatter accepts minified or unformatted Avro schemas.

•
Paste directly: Copy your Avro schema from any source
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Upload file: Click the Upload button to select an .avsc or .json file
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Try sample: Click the Sample button to load an example Avro schema

Unformatted Avro schema input example:

{"type":"record","name":"User","namespace":"com.example","fields":[{"name":"id","type":"int"},{"name":"name","type":"string"}]}
Step 2

Automatic Formatting & Validation

The formatter automatically beautifies your Avro schema with proper indentation and validates it against the Avro specification:

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Pretty printing: Adds proper indentation and line breaks for readability
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Schema validation: Ensures your schema is valid Avro format
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Minify option: Toggle between beautified and minified formats
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Error detection: Identifies syntax errors with line and column numbers

Formatted output example:

{
  "type": "record",
  "name": "User",
  "namespace": "com.example",
  "fields": [
    {
      "name": "id",
      "type": "int"
    },
    {
      "name": "name",
      "type": "string"
    }
  ]
}
Step 3

Download or Copy Formatted Schema

Once formatted, you can download the schema as an .avsc file or copy it to your clipboard:

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Download: Save as .avsc file
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Copy: One-click copy to clipboard
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Toggle format: Switch between beautified and minified versions

FAQs About Avro Schema Formatting

Why format Avro schemas?

Formatting Avro schemas makes them easier to read, understand, and maintain. A well-formatted schema with proper indentation helps developers quickly identify field structures, data types, and nested records. It's especially useful when working with complex schemas in Kafka or Hadoop environments.

What's the difference between beautify and minify?

Beautifying adds proper indentation, line breaks, and spacing to make the schema human-readable. Minifying removes all unnecessary whitespace to create a compact, single-line format that's optimal for storage and transmission but harder to read.

Does the formatter validate Avro schemas?

Yes! The formatter validates your schema against the official Avro specification using the avsc library. If there are any syntax errors or invalid Avro constructs, you'll see detailed error messages with line and column numbers.

Can I use this for Kafka Schema Registry schemas?

Absolutely! This formatter works perfectly with Kafka Schema Registry schemas. You can format schemas before registering them or beautify schemas retrieved from the registry to make them more readable for documentation and code reviews.

Is this Avro Formatter free to use?

Yes, this tool is completely free to use with no limitations on file size, usage frequency, or features. You can format unlimited Avro schemas without any registration or account requirements.

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