What are common errors in mark and sweep?
An example of an AI chatbot conversation about common errors in mark and sweep garbage collection.
What are some common errors in mark and sweep garbage collection?
Common errors include failing to mark all reachable objects, leading to memory leaks, and incorrect handling of cyclic references.
How can these errors affect performance?
These errors can lead to increased memory usage and longer garbage collection pauses, negatively impacting application performance.
What are some best practices to avoid these errors?
Best practices include thorough testing, using profiling tools, and ensuring proper handling of object references.
Can you explain how cyclic references are handled?
Cyclic references can complicate garbage collection; mark and sweep may not reclaim memory unless explicitly handled.
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