Query Language Mapping Architecture for Database Interoperability
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Solution Overview
Problem
Conventional mapping architectures for Web-based applications with multi-tiered architecture, specifically those using Enterprise Java Beans (EJBs), face limitations in processing queries and are often vendor-specific, leading to complexity and restricted interoperability with relational databases.
Innovation Solution
A query language mapping architecture that includes an EJB interpreting layer to translate EJB persistence requests into command sequences, which are then assembled into Structured Query Language (SQL) statements by an SQL assembly layer, enabling database-independent and efficient query processing across various databases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional mapping architecture is used to map object-oriented domain to relational domain, then basic query processing is enabled, but the system can only process a limited set of queries and is constrained to a particular database vendor
Solution Approach 1:
The patent introduces an object-relational mapping (ORM) layer as an intermediary between the object-oriented business logic layer and the relational database layer. This ORM layer includes components such as persistent class mappings, collection mappings, and query translation mechanisms that mediate between the two domains. The intermediary translates object-oriented persistence requests into database-specific queries, enabling the system to handle complex queries without increasing business logic complexity while supporting multiple database vendors through configurable mapping strategies.
2Adaptability or versatility
If Enterprise Java Beans are used to implement business logic, then flexible architecture is provided, but complexity increases due to the object-oriented to relational mapping requirements
Solution Approach 1:
The patent segments the system into distinct layers: the business logic layer implemented with EJBs, the ORM mapping layer that handles object-relational translation, and the database access layer. By separating concerns and assigning mapping responsibilities to the dedicated ORM layer, the complexity of object-relational mapping is isolated from the business logic layer. This segmentation allows EJBs to maintain their flexibility while the mapping complexity is managed independently through configurable mappings and translation mechanisms.
3Adaptability or versatility
If conventional mapping architecture is used, then basic interoperability is achieved, but the system is constrained to a particular database vendor reducing interoperability
Solution Approach 1:
The patent implements a universal ORM framework that can map object-oriented classes to relational tables for multiple database vendors (Oracle, DB2, SQL Server, etc.). The mapping architecture uses vendor-agnostic persistent class definitions that can be configured to work with different database types. The system provides multi-functionality by supporting various database platforms through a common mapping interface, allowing the same EJB application to interoperate with different database vendors without requiring vendor-specific business logic modifications.
Data Source
AI summary
A system and method are provided for a query language mapping architecture. In an embodiment, the query language mapping architecture includes an Enterprise Java Bean (EJB) interpreting layer to receive one or more EJB persistence requests and to translate the one or more EJB persistence requests to command sequences. In an embodiment, the query language mapping architecture may also include a Structured Query Language (SQL) assembly layer to receive the command sequences from the EJB interpreting layer and to assemble one or more SQL statements based, at least in part, on the command sequences.