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How to Convert Parquet to JSON - Step by Step Guide

Step 1

Upload Your Parquet File

Start by uploading your Apache Parquet file. Parquet is a columnar storage format used in big data applications like Apache Spark, AWS Athena, and data analytics platforms. Convert it to JSON format for easier analysis and integration.

Upload file: Click "Upload" to select a .parquet file from your local system
Drag and drop: Simply drag your Parquet file into the upload area
Try sample: Use the sample Parquet data to see how the converter works

Example: Parquet File Structure

Parquet files store data in a columnar format optimized for analytics:

Schema:
  id: INT64
  name: STRING
  email: STRING
  age: INT32
  salary: DOUBLE
  active: BOOLEAN
  
Row Group 1: 1000 rows
Row Group 2: 1000 rows
...
Step 2

Automatic Conversion Process

The converter automatically reads and parses your Parquet file, converting the columnar data structure into JSON format:

Schema detection: Automatically detects column names and data types from Parquet metadata
Data type conversion: Converts Parquet types (INT64, DOUBLE, STRING) to JSON-compatible types
Nested structures: Preserves complex nested data, arrays, and nested objects

Example: JSON Output

The Parquet data converted to clean, readable JSON:

[
  {
    "id": 1001,
    "name": "Emma Johnson",
    "email": "[email protected]",
    "age": 28,
    "salary": 75000.50,
    "active": true
  },
  {
    "id": 1002,
    "name": "Michael Chen",
    "email": "[email protected]",
    "age": 34,
    "salary": 92000.00,
    "active": true
  }
]
Step 3

Preview and Verify Data

Review the converted JSON output to ensure data integrity and correct formatting:

Syntax highlighting: Color-coded JSON output for easy readability
Row count display: Shows total number of records converted
Schema information: Displays original Parquet schema and field types
Step 4

Download or Export JSON

Get your converted JSON data ready for use in your applications and workflows:

Download JSON file: Save the converted data as a .json file
Copy to clipboard: Quick copy for pasting into your code or applications
Further conversions: Convert to CSV, Excel, or Table format

Frequently Asked Questions

How do I convert a Parquet file to JSON?

Upload your Parquet file using the file picker or drag-and-drop interface. The converter automatically reads the Parquet schema, processes all rows, and converts the columnar data into JSON format. You can then download the resulting JSON file or copy it to your clipboard.

What is the difference between Parquet and JSON?

Parquet is a columnar storage format optimized for analytics and compression, storing data by columns rather than rows. JSON is a text-based, row-oriented format that's human-readable and widely supported. Parquet excels at storage efficiency and query performance for large datasets, while JSON is better for data exchange, APIs, and readability.

Can the converter handle large Parquet files?

Yes! The converter can process large Parquet files efficiently. It reads data in chunks and streams the conversion process to handle files with millions of rows. For extremely large files, consider splitting them or using server-side processing tools for optimal performance.

Are nested Parquet structures preserved in JSON?

Absolutely! The converter maintains all nested structures, arrays, and complex data types. Parquet's nested columns (structs, lists, maps) are converted to equivalent JSON objects and arrays, preserving the complete data hierarchy and relationships.

Is my Parquet data secure during conversion?

Yes! All conversions are performed client-side in your browser when possible. Your Parquet files are never uploaded to external servers unless you're using the server-side option for very large files. No data is stored or logged during the conversion process.

Can I convert JSON back to Parquet?

Yes! Use our JSON to Parquet converter to transform JSON data back into the efficient Parquet columnar format. This is useful when you need to store JSON data in data lakes or analytics platforms that prefer Parquet format.