52 lines
1.5 KiB
Markdown
52 lines
1.5 KiB
Markdown
# Reduce Memory Allocations
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Reduce memory allocations in the following hot path: $ARGUMENTS
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## Memory Optimization Strategy:
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### 1. **Allocation Analysis**
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- Identify high-frequency allocation points
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- Measure current allocation rates and patterns
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- Analyze garbage collection pressure
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### 2. **Optimization Techniques**
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#### **Object Pooling**
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- Implement sync.Pool for frequently created objects
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- Pool buffers, structs, and temporary objects
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- Proper reset patterns for pooled objects
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#### **Pre-allocation**
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- Pre-allocate slices and maps when size is predictable
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- Reuse existing data structures
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- Avoid repeated allocations in loops
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#### **Buffer Reuse**
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- Reuse byte buffers and string builders
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- Implement buffer pools for I/O operations
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- Minimize string concatenation
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### 3. **MEV Bot Specific Optimizations**
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#### **Transaction Processing**
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- Pool transaction objects and event structures
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- Reuse parsing buffers
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- Optimize log and metric object creation
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#### **Mathematical Calculations**
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- Pool uint256 and big.Int objects
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- Reuse temporary calculation buffers
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- Optimize precision object handling
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## Implementation Guidelines:
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- Measure allocation reduction with benchmarks
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- Monitor garbage collection statistics
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- Ensure thread safety in pooled objects
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- Maintain code readability and maintainability
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## Deliverables:
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- Memory allocation reduction benchmarks
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- Optimized code with pooling strategies
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- GC pressure analysis before and after
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- Memory usage monitoring enhancements
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- Best practices documentation for team |