Convert Arrow to JSONLines

Apache Arrow is a cross-language development platform for in-memory data that specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware like CPUs and GPUs.

Arrow is designed to support complex nested data structures and enables efficient querying and manipulation of specific columns without reading the entire dataset.

Key Features

• Columnar memory format for flat and hierarchical data
• Language-agnostic specification
• Optimized for analytical processing and modern hardware
• Support for complex nested data structures
• Efficient zero-copy reads

Use Cases

Apache Arrow is particularly useful in scenarios involving:

• Big data processing and analytics
• Machine learning and AI pipelines
• Data interchange between different systems and languages
• High-performance computing applications

Its efficient memory layout and standardized format make it an excellent choice for applications requiring fast data processing and interoperability between different tools and languages.

JSON Lines, also known as JSONL, is a convenient format for storing structured data that may be processed 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 is particularly useful for logging, streaming, and other scenarios where you want to process data line by line without having to parse an entire JSON array.