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How to Convert JSON to Parquet - Step by Step Guide

Step 1

Input Your JSON Data

Start by adding your JSON data that you want to convert to Apache Parquet format. Parquet's columnar storage is ideal for Apache Spark, AWS Athena, and big data analytics.

•
Paste directly: Copy your JSON data and paste it into the input editor
•
Upload a file: Click "Upload" to select a .json file from your computer
•
Try the sample: Click "Sample" to load example data and see how the converter works

Example: JSON Input

Sample JSON data ready for conversion to Parquet:

[
  {
    "id": 1001,
    "name": "Emma Johnson",
    "email": "[email protected]",
    "salary": 75000.50,
    "active": true
  }
]
Step 2

Automatic Schema Detection

The converter automatically analyzes your JSON structure and generates an optimized Parquet schema:

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Type inference: Automatically detects data types (INT64, DOUBLE, STRING, BOOLEAN)
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Columnar optimization: Converts row-based JSON to efficient columnar Parquet format
•
Nested structure support: Preserves arrays, objects, and complex nested data

Example: Generated Parquet Schema

Schema automatically created from your JSON data:

message schema {
  required int64 id;
  required binary name (STRING);
  required binary email (STRING);
  required double salary;
  required boolean active;
}
Step 3

Configure Conversion Options

Customize the Parquet output settings based on your requirements:

•
Compression: Choose compression codec (SNAPPY, GZIP, LZO, BROTLI)
•
Row group size: Optimize for your data volume and query patterns
•
Schema validation: Verify data types match expected Parquet schema
Step 4

Download Parquet File

Get your optimized Parquet file ready for big data analytics and storage:

•
Download Parquet: Save the converted file as .parquet format
•
Storage efficiency: Enjoy 75-90% size reduction compared to JSON
•
Ready for analytics: Use with Spark, Hive, Athena, BigQuery, and more

Frequently Asked Questions

How do I convert JSON to Parquet format?

Paste your JSON data or upload a JSON file. The converter automatically detects the schema, infers data types, and converts your data into efficient Parquet columnar format. Download the .parquet file and use it with big data tools like Spark, Athena, or Hive.

What are the benefits of converting JSON to Parquet?

Parquet offers 75-90% size reduction through columnar compression, dramatically faster query performance for analytics, efficient column-pruning for selective reads, and better compatibility with big data tools. It's ideal for data lakes, warehouses, and analytics pipelines.

Can the converter handle nested JSON structures?

Yes! The converter preserves all nested objects, arrays, and complex data structures. JSON arrays become Parquet lists, nested objects become structs, maintaining the complete hierarchy and relationships in the columnar format.

What compression options are available?

The converter supports multiple compression codecs including SNAPPY (balanced speed/compression), GZIP (high compression), LZO (fast compression), and BROTLI (best compression). SNAPPY is recommended for most use cases.

Can I convert large JSON files to Parquet?

Absolutely! The converter efficiently processes large JSON files by streaming data in chunks. For very large datasets (multiple GB), consider splitting the JSON into smaller files or using server-side processing tools for optimal performance.

Is the JSON to Parquet converter free?

Yes, completely free with no limitations on file size, conversions, or features. No registration required. Convert unlimited JSON files to Parquet format with full schema generation and optimization options.

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