NDJSON File – What is .ndjson file and how to open it?


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NDJSON File Extension

Newline Delimited JSON File – file format by ndjson

NDJSON (Newline Delimited JSON File) is a text-based data format used for representing JSON data where each line contains a single JSON object. It is developed by the ndjson project to provide a simple and efficient way of storing and processing JSON data.

Definition of NDJSON

NDJSON, also known as Newline Delimited JSON, is a file format used to store a collection of individual JSON objects, each separated by a newline character. Its primary purpose is to facilitate the efficient storage and processing of large datasets in the JSON format. Unlike traditional JSON files, which encapsulate all objects in a single array or object, NDJSON splits them into distinct lines. This structure offers several advantages, especially when working with large-scale data.

Advantages of NDJSON

The NDJSON format has several key benefits over traditional JSON files. Firstly, it enables streaming and processing of individual JSON objects without requiring the parsing of the entire file. This is particularly useful for applications that need to handle large datasets in a timely and efficient manner. Additionally, NDJSON files are highly portable and can be easily parsed by a wide range of programming languages and tools. The simplicity of the format also reduces the risk of data corruption and makes it more reliable for data sharing and exchange.

Methodologies for Opening NDJSON Files

NDJSON (Newline Delimited JSON File) is a popular data format used for storing JSON data as a sequence of lines, where each line represents a JSON object. Opening and accessing the data within NDJSON files requires specific tools and techniques.

One approach is to utilize a text editor or code editor capable of handling JSON files. These editors allow users to open the NDJSON file and view its contents. However, simply opening the file may not provide a convenient way to navigate or manipulate the individual JSON objects. To address this, developers can employ a programming language like Python, which offers libraries specifically designed for parsing NDJSON files. By utilizing these libraries, developers can load the NDJSON data into a data structure, such as a list or dataframe, and perform various operations on the individual objects.

Additional Tools for NDJSON Manipulation

Apart from general-purpose text editors and code editors, there are specialized tools tailored for working with NDJSON files. One such tool is the ‘ndjson-cli’ command-line interface, which provides a dedicated set of utilities for processing and converting NDJSON data. ‘ndjson-cli’ offers functions for pretty-printing the JSON data, extracting specific fields, and filtering the objects based on various criteria. This tool can be particularly useful for quickly previewing, transforming, and analyzing large NDJSON datasets.

Format and Structure

NDJSON files are a data format that stores JSON objects in newline-delimited format. Each line of an NDJSON file represents a single JSON object. This format is useful for storing large collections of JSON objects in a text file, as it is both human-readable and machine-parsable.

NDJSON files do not require any special delimiters or wrappers around the JSON objects. The only requirement is that each line must be a valid JSON object. This makes NDJSON files simple to parse and process, as you can simply split the file on newline characters and parse each line as a JSON object.

Applications and Benefits

NDJSON files are commonly used in data engineering and data analysis pipelines. They are particularly useful for storing large datasets that need to be processed incrementally or streamed. For example, NDJSON files can be used to store log data, event data, or sensor readings.

NDJSON files offer several benefits over other data formats, such as CSV or XML. They are more compact and efficient than CSV files, as they do not require any delimiters or whitespace. They are also more flexible than XML files, as they do not require a rigid schema. Additionally, NDJSON files are easy to parse and process, making them a popular choice for big data applications.

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