mongodb/mongo-tools
Mongo Tools
This project provides a collection of command-line administrative utilities designed for managing MongoDB database instances. It serves as the primary interface for performing database backups, restoring binary snapshots, and executing data migration tasks between database instances and external systems.
The tools facilitate the movement of information by importing and exporting collections across various formats, including JSON, CSV, TSV, and binary files. Beyond migration, the suite includes specialized utilities for inspecting binary data files in a human-readable format and managing large binary files stored within the database file system.
These utilities operate by communicating directly with the database server through structured binary protocol requests. The underlying architecture supports stream-oriented processing and batch operations to handle large datasets efficiently while maintaining data durability and integrity during administrative tasks.
Features
- MongoDB Administration Tools - Provides a collection of command-line tools for performing backups, data imports, data exports, and binary file inspection for database instances.
- Cross-Database Data Migrations - Moves information between database instances and external systems by importing and exporting collections in various formats.
- Data Import and Export - Provides a command-line interface for importing and exporting database records between JSON, CSV, TSV, and binary formats.
- Database Backup and Restore - Creates binary snapshots of database collections and restores them to ensure data durability and recovery.
- MongoDB Backups - Creates and restores binary snapshots of database instances to ensure data durability and provide reliable recovery points.
- Database Wire Protocol Implementations - Communicates with the database server by sending structured requests over a persistent network connection using a defined binary protocol.
- Binary Data Formats - Uses a compact binary format to store and transmit complex data structures efficiently between the database and external files.
- Database Atomic Batches - Groups multiple database mutations into single network requests to improve throughput and reduce latency during bulk operations.
- Memory-Efficient Data Streaming - Processes large datasets in small chunks to minimize memory usage during import and export operations.
- Schema-Agnostic Data Mappings - Translates between flat file formats and hierarchical document structures without requiring a predefined database schema.
