LaTeX to Avro Converter

About LaTeX to Avro Converter

Convert LaTeX tables to Apache Avro schema format with automatic type detection and data serialization. Perfect for big data applications using Hadoop, Kafka, and other Apache ecosystem tools.

Key Features

• Automatic Type Detection: Intelligently detects int, long, double, boolean, and string types
• Nullable Fields: All fields support null values for flexibility
• Custom Schema Names: Configure schema name and namespace
• Sample Data Generation: Optionally include JSON data for testing
• Field Name Sanitization: Converts headers to valid Avro field names
• Documentation: Preserves original header names in field docs
• File Download: Save as .avsc schema file

How to Use

1. Input LaTeX Table: Paste your LaTeX table or upload a .tex file
2. Configure Schema: Set schema name and namespace
3. Choose Options: Toggle sample data inclusion
4. Review Output: The Avro schema generates automatically
5. Copy or Download: Use the Copy or Download button to save your schema

Type Detection

• int: Positive integers
• long: Negative integers or large numbers
• double: Decimal numbers
• boolean: true/false values
• string: All other text data
• null: Empty cells are treated as null

Example Conversion

LaTeX Input:

\begin{tabular}{llll}
\toprule
Name & Age & City & Active \\
\midrule
John Doe & 28 & New York & true \\
Jane Smith & 34 & London & false \\
\bottomrule
\end{tabular}

Avro Schema Output:

{
  "type": "record",
  "name": "TableData",
  "namespace": "com.example",
  "doc": "Generated from LaTeX table",
  "fields": [
    {
      "name": "name",
      "type": ["null", "string"],
      "doc": "Name"
    },
    {
      "name": "age",
      "type": ["null", "int"],
      "doc": "Age"
    },
    {
      "name": "city",
      "type": ["null", "string"],
      "doc": "City"
    },
    {
      "name": "active",
      "type": ["null", "boolean"],
      "doc": "Active"
    }
  ]
}

Common Use Cases

• Hadoop Integration: Define schemas for Hadoop data processing
• Kafka Streaming: Create schemas for Kafka message serialization
• Data Lakes: Structure data for Apache Parquet and ORC formats
• ETL Pipelines: Define data contracts for ETL processes
• Academic Research: Convert research data tables to big data formats

About Apache Avro

Apache Avro is a data serialization system that provides rich data structures, a compact binary format, and schema evolution capabilities. It's widely used in big data ecosystems for efficient data storage and transmission.

Privacy & Security

All conversions happen locally in your browser. Your LaTeX data is never uploaded to any server, ensuring complete privacy and security.