Unified Runtime for Multi-Language Program Integration
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Solution Overview
Problem
The integration of multiple programming models and languages in enterprise applications leads to inefficiencies in development and runtime due to semantic mismatches and the need for extensive translation and optimization across different silos, resulting in increased costs and complexity.
Innovation Solution
A programming framework that integrates multiple programming languages at the language level by extending a host language with other languages as native constructs, allowing seamless interoperation and optimization across code written in different languages without external function calls.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple programming models and languages are integrated using traditional siloed approaches with separate runtimes, then developers can select the most appropriate tools for each problem domain, but this results in semantic mismatches, increased development complexity, and lack of runtime optimization
Solution Approach 1:
The patent merges multiple programming models and languages into a unified runtime environment, eliminating the siloed architecture. Different programming constructs (SQL, analytics, procedural code) are integrated within a single runtime that provides consistent optimization and resource management, while maintaining the ability to use domain-specific tools where appropriate.
Solution Approach 2:
The unified runtime environment provides universal support for multiple programming models and languages through a common infrastructure. The runtime can execute diverse programming constructs (declarative SQL, analytical queries, procedural logic) using the same execution engine, providing multi-functionality without requiring separate specialized runtimes for each language or model.
2Reliability
If multiple separate runtimes are used to execute different programming models, then each runtime can be optimized for its specialized language, but this causes significant landscape complexity and increases the costs of running the application
Solution Approach 1:
The patent implements a universal runtime environment that can execute multiple programming models with optimized performance for each. Rather than having separate specialized runtimes, the unified runtime provides language-specific optimizations through a common infrastructure, reducing complexity while maintaining specialized capabilities.
Solution Approach 2:
The unified runtime is segmented into specialized execution engines or plugins that handle different programming models. Each segment provides optimized processing for its specific language or model type, while the overall runtime orchestrates them seamlessly, combining segmentation benefits with unified management.
3Adaptability or versatility
If code in different silos communicates through predefined function calls and data passing, then integration between programming models is achieved, but this method is clunky and inefficient, requiring additional function calls and variables
Solution Approach 1:
The patent merges the execution of different programming models into a unified runtime that eliminates the need for explicit inter-silo communication. Code written in different programming constructs can interact directly through shared state and memory, removing the overhead of function calls and data passing between separate runtime environments.
Solution Approach 2:
The unified runtime acts as an intermediary that enables direct communication between different programming models without requiring explicit function calls. The runtime provides a common memory space and execution context that allows SQL, analytics, and procedural code to interact naturally, eliminating the need for data conversion and function call overhead.
Data Source
AI summary
To enable language-level integration of multiple programming languages into a single programming framework, one or more domain specific languages (DSLs) are specified as incremental extensions to a host programming language. An application created in this framework may include program code written in the host language as well as DSL inset code that is written in any of the DSLs. The extensions to the host language are described in DSL specifications, which define how the DSL inset code is processed. At runtime, DSL inset code in the source code is detected and passed to a DSL inset processor for execution according to an appropriate DSL specification, whereas source code in the host language is executed by a host language processor.


