Guide
Whether you're dealing with raw log files, credential dumps, or other data-intensive tasks, Chronos' modular architecture and asynchronous, multi-threaded processing capabilities ensure that no detail is left behind. This guide provides comprehensive, step-by-step instructions for every possible use case, enabling you to clean, filter, merge, split, extract, and sort your data with precision.
Architecture and Core Features
Chronos is engineered around a robust, modular architecture that enables:
- Asynchronous Processing: Non-blocking operations allow for continuous data flow.
- Multi-threading: Utilizes multiple CPU cores to accelerate data processing.
- Modular Design: Each module is dedicated to a specific task—cleaning, filtering, sorting, etc.—so you can tailor Chronos to your needs.
- Flexible Format Support: Handles various credential formats (e.g.,
url:log:pass,log:pass) without hassle. - Advanced Deduplication: Offers both fast, memory-intensive deduplication and a low-memory alternative for constrained environments.
- Real-Time Monitoring: Interactive UI and detailed logs let you monitor progress and performance metrics.
Detailed Use Cases
Configuration Options
Purpose: Controls the number of parallel processing threads.
Recommendation: Set to match the number of CPU cores; e.g., 32 for a high-performance machine.
Advanced Usage and Optimization
Module Reference
AntiPublic Module - Check database uniqueness
Filter Module - Filter lines by patterns
Joiner Module - Join multiple data sources
LpCleaner Module - Clean log:pass files
Splitter Module - Split files into smaller chunks
UlpCleaner Module - Clean url:log:pass files
UlpExtractor Module - Extract from logs and archives
UlpSorter Module - Sort by patterns
Each module guide offers detailed options, configuration examples, and troubleshooting tips to help you achieve optimal results in your specific workflow.
Conclusion
Chronos is more than just a data parser—it's a comprehensive, high-performance platform designed to handle every aspect of large-scale data management. Its modular architecture, flexible configuration options, and seamless integration with the Quantium ecosystem empower you to clean, filter, merge, split, extract, and sort even the most complex datasets with confidence.
By following this extended guide, you will be equipped with the knowledge and best practices needed to maximize efficiency, maintain data integrity, and unlock new opportunities for analysis and growth.
Happy processing and may your data drive success!