Dependency Manager for Automated Database Deployment and Fault Recovery
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Solution Overview
Problem
Conventional package management systems for databases lack the ability to automate the deployment, installation, and configuration of data, metadata, and software in distributed computing architectures, particularly in in-memory databases, and fail to detect and recover from service or data failures by redistributing packages across available nodes.
Innovation Solution
A dependency manager system that automates the deployment and configuration of software, data, and metadata by maintaining a dependency tree, linking with a supervisor to monitor and manage system status, and generating deployable packages for nodes to ensure successful execution and fault tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional package management systems are used for database deployment, then software installation can be automated, but data and metadata dependencies cannot be managed and failure recovery cannot be performed
Solution Approach 1:
The patent introduces a dependency manager as an intermediary component between the package manager and the database system. This dependency manager specifically handles data and metadata dependencies, while the package manager handles software packages. This separation allows automated deployment to work effectively while also enabling proper dependency tracking for failure recovery and redistribution capabilities.
Solution Approach 2:
The patent segments the deployment management into distinct components: a package manager for software packages and a dependency manager for data and metadata. This segmentation allows each component to specialize in its domain, with the dependency manager specifically responsible for tracking data dependencies and enabling failure recovery operations that the general-purpose package manager cannot handle.
2Ease of operation
If manual installation and updates are performed for database components, then system control is maintained, but time and resources are wasted
Solution Approach 1:
The patent implements automated self-service deployment through the package manager and dependency manager system. The system automatically resolves dependencies, installs packages, and manages updates without requiring manual intervention. This automation dramatically reduces installation and update time while maintaining system integrity through programmatic control of the deployment process.
3Device complexity
If static service deployment is performed, then deployment simplicity is maintained, but failure detection and recovery cannot be performed
Solution Approach 1:
The patent implements feedback mechanisms where the dependency manager continuously monitors the database system for failures. When failures are detected, the system automatically triggers recovery operations including redistributing data and metadata to healthy nodes. This feedback loop enables dynamic failure recovery while maintaining relatively simple deployment procedures through automated response to system events.
Data Source
AI summary
The present disclosure relates to in-memory databases or search engines using a dependency manager or configuration manager for maintaining configuration in the database system. The system may include a supervisor that may request and receive data from dependency manager, where the supervisor may be linked to other components in the system. The dependency manager may be used as a container for data metadata, and software components, which may be used in the system configuration. The configuration may be developed through a dependency system, where the dependency manager may keep an entire dependency tree for all software and data in the system. Similarly, dependency manager may create a deployable package to guarantee deployment integrity and to ensure a successful execution of any suitable software and data in the system.