Hierarchical Data Store Code Execution Schema
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Solution Overview
Problem
Existing hierarchical storage systems require significant user effort and development to manage and interact with hierarchical data structures, especially when data organization changes or new clients access the system, leading to inefficiencies and increased burden on client-side applications.
Innovation Solution
Implementing a hierarchical data store that maintains and executes code associated with objects within a schema, allowing clients to leverage existing code for various operations without needing to develop or implement them separately, and utilizing a distributed network-based directory storage service that manages and routes access requests efficiently across multiple storage nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If hierarchical storage systems store and manage related data reflecting relationships between data, then data organization and management capability is improved, but user burden and development effort increase
Solution Approach 1:
The system automatically executes code associated with objects in the hierarchical data structure when accessed through the API. This self-service mechanism eliminates the need for users to manually implement complex data management logic, as the system autonomously handles operations such as data retrieval, transformation, and relationship management by executing predefined code associated with each object.
Solution Approach 2:
Code is pre-associated with objects in the hierarchical data structure during system setup or data creation. This preliminary action prepares the system to automatically execute appropriate operations when objects are accessed, eliminating the need for users to develop and implement management logic at the time of data access.
2Ease of operation
If clients access hierarchical data structures directly, then access flexibility is improved, but development effort and implementation complexity increase
Solution Approach 1:
An API acts as an intermediary between clients and the hierarchical data structure. The API simplifies client interactions by providing standardized access methods while automatically executing associated code in the background. This mediator approach allows clients to access data flexibly without needing to understand or implement complex hierarchical management logic.
Solution Approach 2:
The system automatically executes code associated with objects when accessed through the API, eliminating the need for clients to implement complex data management operations. This self-service capability allows clients to leverage existing code and operations within the hierarchical data store without developing separate implementation logic.
3Adaptability or versatility
If data organization changes in hierarchical structures, then adaptability is improved, but system maintenance and update effort increase
Solution Approach 1:
Code is pre-associated with objects and their relationships in the hierarchical data structure. When data organization changes occur, the system automatically executes the appropriate pre-associated code to handle transformations, updates, and relationship modifications, eliminating the need for manual maintenance of data organization logic.
Solution Approach 2:
The system autonomously handles data organization changes by executing associated code when objects are accessed or modified. This self-service mechanism automatically manages data transformations, relationship updates, and organizational changes without requiring user intervention or manual maintenance effort.
Data Source
AI summary
Code may be associated with one or more objects in a hierarchical data structure for execution. An access request for an object in the hierarchical data structure may be received. A schema applicable to the hierarchical data structure may be accessed and evaluated to identify code associated with the object. The code may be executed and servicing of the access request may be performed based, at least in part, on a result of executing the code. Code may be received and stored for inclusion in the schema, in some embodiments. Code may be executed by requesting execution of code that is stored and executed at a remote execution platform, in some embodiments.