Database Artifact Dependency Analysis for Deployment Ordering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing database deployment infrastructure struggles to ensure correct ordering of design time artifacts based on their data dependencies, leading to potential errors due to unperceived implicit dependencies between artifacts.
Innovation Solution
A method is introduced to classify design time artifacts as source or sink artifacts, construct a dependency tree, and traverse it in reverse order to identify required source artifacts for sink artifacts, thereby defining a new call order that ensures all necessary source artifacts are executed before dependent sink artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If design time artifacts are deployed using a declarative approach with implicit dependency management, then deployment simplicity and automation are improved, but execution order correctness deteriorates due to unperceived implicit dependencies
Solution Approach 1:
The system performs preliminary analysis of data dependencies between design time artifacts before deployment execution. By constructing a dependency tree and identifying implicit dependencies in advance, the system determines the correct execution order beforehand, ensuring that source artifacts are executed before sink artifacts that depend on them.
Solution Approach 2:
The system implements feedback by analyzing execution results and data flow patterns to identify implicit dependencies that were not explicitly defined. This feedback mechanism allows the system to learn from data access patterns and refine the dependency model, improving execution order correctness in subsequent deployments.
2Reliability
If the system analyzes and enforces strict ordering of design time artifact calls, then execution correctness is improved, but system complexity increases due to dependency tree construction and traversal
Solution Approach 1:
The system performs self-service by automatically analyzing data dependencies and constructing the dependency tree without requiring manual intervention. The system autonomously traverses the dependency tree, identifies implicit dependencies, and determines execution order, reducing the need for complex manual configuration while maintaining execution correctness.
Solution Approach 2:
The system replaces manual dependency analysis and ordering configuration with automated computational analysis. By using algorithms to traverse the dependency tree and identify data dependencies, the system substitutes complex manual mechanical processes with automated computational methods, reducing overall system complexity.
Data Source
AI summary
Design time artifacts ordered in a dependency tree according to a call order defined by a database application accessing data in a database can be classified as source and/or sink artifacts. The dependency tree can be traversed in a direction reverse of the call order to determine, for each sink artifact, one or more required source artifacts upon which the sink artifact depends and that is needed to provide correct data inputs for operation of the sink artifact. Based on the traversing, implicitly dependent sink artifacts positioned earlier in the call order that their required source artifacts can be identified, and a new call order can be defined in which all of the required source artifacts for the implicitly dependent sink artifact are called before the implicitly dependent sink artifact.