Compiler Semantic Bytecode Encoding for Runtime Performance

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Solution Overview

Problem

Current compiler technologies face performance issues due to the need for extensive semantic analysis at runtime, especially when dealing with dynamic query parts in SQL queries, as they cannot perform semantical checks during compile time due to unknown variables that are filled in at runtime.

Innovation Solution

The compiler performs semantic analysis for static expressions at compile time and encodes semantic checks into bytecode, delaying checks for dependent static expressions until runtime, using a bytecode-based approach that encodes and interprets semantic bytecode during execution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If semantic analysis is performed at runtime for dynamic expressions, then semantic correctness is ensured, but execution performance deteriorates due to costly iterations over the abstract syntax tree

Engineering Contradiction:
Improvesemantic correctnessVSAvoidexecution performance
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent performs semantic analysis on static expressions during compile time before the program is executed. The compiler analyzes the abstract syntax tree, performs type checking, and generates verified bytecode for static portions of the code. This preliminary semantic analysis ensures correctness is established early, eliminating the need for repetitive runtime analysis of the same static code structures.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent segments the semantic analysis process into two distinct phases: compile-time analysis for static expressions and runtime analysis only for dynamic expressions. By separating static and dynamic code paths, the system performs comprehensive semantic checking on static portions during compilation, then only handles the minimal dynamic portions during execution, dramatically reducing runtime overhead while maintaining complete semantic verification.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If semantic analysis is delayed until runtime for dynamic expressions, then accuracy of checks is improved, but loss of time occurs due to re-compilation or re-analysis at execution time

Engineering Contradiction:
Improveaccuracy of semantic checksVSAvoidtime for semantic analysis
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The compiler performs preliminary semantic analysis on all static expressions during the compilation phase, building a verified abstract syntax tree and generating type-safe bytecode. This advance preparation ensures that when runtime occurs, only the minimal dynamic expressions requiring runtime variables need analysis, significantly reducing the time investment at execution time while maintaining complete accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent applies partial semantic analysis at runtime, focusing only on the specific dynamic expressions that cannot be fully analyzed at compile time. Rather than re-analyzing the entire program at runtime, the system performs semantic checks only on the portions of code containing dynamic expressions, achieving necessary accuracy with minimal time expenditure.

Inventive Principle:
Principle #16Partial or excessive action

3Productivity

If the compiler performs extensive semantic analysis at compile time, then fewer runtime checks are needed, but the complexity of the compilation process increases

Engineering Contradiction:
Improveruntime execution speedVSAvoidcompiler complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the compilation and execution processes into distinct phases with clear responsibilities. The compiler handles static semantic analysis, type checking, and bytecode generation for static expressions. At runtime, a lightweight interpreter handles only dynamic expressions. This segmentation distributes complexity appropriately, allowing extensive compile-time analysis without overwhelming the runtime system.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces bytecode as an intermediary representation between source code and executable code. The compiler translates static expressions into verified bytecode during compilation, then this bytecode is executed at runtime with minimal overhead. This intermediary layer captures the results of extensive compile-time semantic analysis in a form that requires minimal runtime processing, balancing compilation complexity with runtime performance.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20230025341A1Efficient semantic analysis of program code
Publication Date: 2023.01.26 SAP SE
  • US20230025341A1 patent drawing
  • US20230025341A1 patent drawing
  • US20230025341A1 patent drawing

AI summary

Provided are systems and methods of a compiler that efficiently processes semantic analysis. For example, the compiler may perform semantic analysis on as much of the source code as possible during compile time. For any instructions, such as dynamic expressions, that are not known at compile time, the compiler may encode semantic bytecode for performing the semantic checks on such dynamic expressions, and their dependent expressions, during execution/runtime of the program. In one example, the method may include compiling source code of a program into bytecode, identifying, during the compiling, a dynamic expression that includes one or more dependent static expressions within the source code, generating semantic bytecode for semantic analysis of the one or more dependent static expressions of the dynamic expression, and adding the semantic bytecode to the bytecode of the program.