Multidimensional Database Connector Registry
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Solution Overview
Problem
Conventional multidimensional database retrieval approaches face challenges due to differing access commands and instructions across various physical data repositories, making it difficult to universally apply query instructions for data retrieval.
Innovation Solution
A multidimensional database connector system that transforms logical query instructions into repository-specific commands by using a registry of available connectors to map generic query instructions to repository-specific commands, ensuring each data repository is accessed efficiently without interference from incompatible libraries or versions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single multidimensional database references multiple physical data repositories with different access commands, then the system can access diverse data sources, but the complexity of managing different access instructions increases
Solution Approach 1:
The patent introduces a connector as an intermediary component that sits between the query engine and multiple physical data repositories. Each connector is specifically designed to translate universal query instructions into repository-specific access commands, thereby mediating the interaction between the unified query interface and diverse data sources. This resolves the contradiction by enabling access to multiple repositories while abstracting away the complexity of different access commands through the connector layer.
Solution Approach 2:
The system segments the data access functionality by creating separate, specialized connectors for each type of data repository. Instead of attempting to handle all repositories with a single access mechanism, the system divides the access logic into discrete connector modules, each optimized for specific repository types. This segmentation allows the system to maintain versatility across multiple repositories while managing complexity through modular, organized access strategies.
2Productivity
If different data repositories employ different access commands and instructions, then each repository can be accessed optimally, but the difficulty of transforming query instructions into repository commands increases
Solution Approach 1:
The connector acts as a translation intermediary that automatically converts universal query instructions into repository-specific commands. This mediation process handles the complexity of instruction transformation internally, allowing the query engine to send standardized requests while the connector manages the conversion to optimal repository-specific syntax, thereby maintaining retrieval efficiency without exposing the transformation difficulty to the user.
Solution Approach 2:
The system changes the parameters of query instructions dynamically based on the target repository type. Each connector contains knowledge of the specific command syntax, data formats, and access protocols required by its associated repository type. When transforming queries, the connector modifies instruction parameters (such as command structure, data format, access methods) to match the requirements of the destination repository, thereby optimizing retrieval efficiency for each specific data source.
3Adaptability or versatility
If a registry of connectors is maintained to map query instructions to repository commands, then compatibility with diverse repositories is improved, but the device complexity increases
Solution Approach 1:
The connector registry implements a universal interface standard that all connectors must adhere to, despite serving different repository types. This universal framework defines common methods and protocols that enable diverse connectors to be managed through a single registry system. The registry itself serves multiple functions: storing connector metadata, managing connector lifecycle, and providing lookup services. This universality approach maintains high compatibility with diverse repositories while controlling registry complexity through standardized interfaces.
Data Source
AI summary
A multidimensional database query engine processes a query request by forming a logical plan of subqueries for retrieving and assembling the data called for by the query request. A multidimensional database connector is invoked to transform a logical plan that defines and orders each subquery into a physical plan for accessing the data repositories where the data satisfying the query is stored. The query engine is invoked or called by an application and receives a query plan indicative of data repositories interrogated by query instructions in the query plan. For each data repository of the plurality of data repositories that may be interrogated by the query plan, a connector is defined based on commands for accessing each data repository. The connector associates each query instruction from the query plan with a corresponding repository command for accessing the data repository.