XML to Avro Converter

About Apache Avro

Apache Avro is a data serialization system that provides rich data structures, a compact binary format, and schema evolution capabilities. This tool converts XML data into Avro schema definitions with automatic type detection.

Features

Automatic Type Detection: Detects int, long, double, boolean, and string types
Nullable Fields: Option to make all fields nullable with union types
Custom Schema Names: Specify custom record name and namespace
Sample Data: Optionally include sample JSON data for testing
Field Sanitization: Ensures field names are valid Avro identifiers

Supported Data Types

int: 32-bit signed integers

long: 64-bit signed integers

double: Double precision floating point

boolean: True/false values

string: Unicode text strings

null: Null values (when nullable)

Example

Input XML:

<products>
  <product>
    <id>1</id>
    <name>Laptop</name>
    <price>999.99</price>
  </product>
</products>

Output Avro Schema:

{
  "type": "record",
  "name": "Record",
  "namespace": "com.example",
  "fields": [
    {
      "name": "id",
      "type": [
        "null",
        "int"
      ],
      "default": null
    },
    {
      "name": "name",
      "type": [
        "null",
        "string"
      ],
      "default": null
    },
    {
      "name": "price",
      "type": [
        "null",
        "double"
      ],
      "default": null
    }
  ]
}

Use Cases

Apache Kafka message schemas
Hadoop data serialization
Apache Spark data processing
Data lake storage formats
Schema registry integration
Cross-language data exchange