Formatters & Code
Apache Avro Schema Tools
Validate, format and explore .avsc schemas.
Validation · 0 errors
- ✓ Top-level type: record
- ✓ Record name: User
- ✓ 5 field(s) declared.
{
"type": "record",
"name": "User",
"namespace": "com.anytimeconvert",
"fields": [
{
"name": "id",
"type": "long"
},
{
"name": "email",
"type": "string"
},
{
"name": "name",
"type": [
"null",
"string"
],
"default": null
},
{
"name": "active",
"type": "boolean",
"default": true
},
{
"name": "tags",
"type": {
"type": "array",
"items": "string"
},
"default": []
}
]
}Redactionele opmerking
Understanding · Schema with the data — the Kafka format.
Dit uitgebreide hoofdstuk is momenteel alleen in het Engels beschikbaar. De conversietool hierboven werkt in jouw taal; de lange uitleg is nog niet vertaald.
Veelgestelde vragen
Quick answers.
›What is an .avsc file?
An `.avsc` file is a JSON document that defines the schema for Avro data, including the record name, namespace, and fields with their respective types.
›Is my schema sent to a server for validation?
No. The validation and formatting logic runs entirely in your browser using JavaScript, so your schema remains local to your machine.
›Does this tool support complex Avro types?
Yes. It validates primitive types as well as complex types including records, enums, arrays, maps, unions, and fixed types.
›Why is my schema failing validation?
Common issues include missing required fields like `name` or `type`, syntax errors in the JSON structure, or using reserved keywords incorrectly.
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