rearq

Rearq is an open-source, lightweight command-line tool designed for efficient data retrieval and archiving. It is particularly useful for managing large datasets or logs by enabling quick searches and selective extraction of records based on specified criteria. Developed with simplicity and performance in mind, Rearq is written in Go, which contributes to its portability and cross-platform compatibility.

The primary function of Rearq is to index and query structured log files or datasets stored in a columnar format, such as CSV or JSON. Users can define search queries to filter records, allowing for targeted retrieval of specific entries without processing the entire dataset. This makes Rearq suitable for environments where real-time or near-real-time analysis is required, such as monitoring systems, debugging, or data exploration.

Rearq operates by creating an index of the data during the initial scan, which significantly speeds up subsequent queries. The tool supports basic filtering operations, including equality checks, range queries, and regular expressions, making it versatile for various use cases. Additionally, Rearq can export filtered results in different formats, such as JSON or CSV, facilitating further processing or visualization.

One of the key advantages of Rearq is its minimal resource consumption, as it avoids loading the entire dataset into memory. This efficiency is particularly beneficial when working with large files or high-volume logs. The tool is also designed to be extensible, allowing users to customize its behavior through configuration files or command-line arguments.

Rearq is distributed under an open-source license, enabling community contributions and modifications. It is available on GitHub and can be installed via package managers or compiled from source. While primarily intended for command-line use, its simplicity and effectiveness make it a valuable addition to data workflows in both development and production environments.