Convert Parquet to JSONLines

Parquet is a columnar storage file format designed for efficiency with big data processing frameworks like Apache Hadoop and Spark.

Technical Details

Parquet organizes data by columns rather than rows, which enables better compression and more efficient queries for analytical workloads. It supports nested data structures and is optimized for handling complex data.

Advantages

• Highly efficient columnar storage and compression
• Excellent query performance for analytical workloads
• Support for nested data structures
• Schema evolution capabilities

Limitations

• Not human-readable like CSV or JSON
• Less suitable for row-oriented operations
• Requires specialized tools for viewing and editing
• More complex than simpler formats

JSON Lines, also known as JSONL, is a handy format for storing structured data that you can process one record at a time.

Each line in a JSON Lines file is a valid JSON object, typically representing a single record. The lines are separated by newline characters, making it easy to read and write sequentially.

This format works great for logging, streaming, and other scenarios where you want to process data line by line without parsing an entire JSON array.