Script Engine Memory Leak Detection via Heap Snapshots
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Solution Overview
Problem
Dynamic programming languages face memory leaks due to features like circular references, closures, and cross-boundary references, leading to inefficient memory allocation and performance degradation, which existing tools struggle to detect and manage effectively.
Innovation Solution
Collecting and analyzing memory consumption patterns by taking snapshots of script objects and tracking references, metadata, and scope chains, allowing for the identification of memory leaks without degrading script engine performance, and providing this information to tools for memory analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If memory consumption patterns are collected and analyzed by taking snapshots of script objects and tracking references, then memory leak detection capability is improved, but script engine performance may be degraded
Solution Approach 1:
The patent creates a copy of the object graph structure by taking snapshots of script objects and their references at different time points. Instead of continuously monitoring memory which would degrade performance, the system periodically captures snapshots and compares them to detect memory leaks. This copying approach allows thorough analysis without continuously interfering with script engine execution.
Solution Approach 2:
The memory analysis is performed periodically through discrete snapshot operations rather than continuous monitoring. The garbage collector analyzes memory consumption patterns at specific intervals by capturing object graphs at different time points, which reduces the performance overhead compared to constant monitoring while still enabling effective memory leak detection.
2Measurement precision
If detailed memory allocation and de-allocation information is collected, then memory analysis accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary actions by integrating the snapshot and analysis functionality directly into the garbage collector infrastructure. The garbage collector is enhanced to automatically capture object graphs and track memory allocation information as part of its normal operation, rather than adding separate complex monitoring systems. This preliminary integration simplifies the overall system architecture.
Solution Approach 2:
The garbage collector is given multiple functions: it continues to perform its primary role of memory management and object collection, while also serving as the memory analysis engine that captures snapshots, tracks references, and detects memory leaks. This multi-functionality eliminates the need for separate dedicated memory profiling tools, reducing system complexity while maintaining detailed memory analysis capabilities.
Data Source
AI summary
A script engine for a dynamic language can collect memory allocation information for dynamic objects created by the scripting engine and for dynamic objects created by the script engine host. A native interface can be exposed to a client comprising a software development tool. The software development tool can be a third-party tool. In response to a query, the script engine can take a snapshot of a garbage collector heap and return an object record for each dynamic object in the heap. The object information can include memory allocation information, object type and other information. Multiple snapshots can be taken and the delta between snapshots can be determined and sent to a requestor.