183 lines
3.9 KiB
Markdown
183 lines
3.9 KiB
Markdown
# Performance Tuning Guide
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## Overview
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This guide covers optimization strategies for improving gas efficiency and execution speed.
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## Gas Optimization
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### 1. Batch Size Optimization
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**Problem**: Large batches consume more gas
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**Solution**:
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- Optimize batch sizes (typically 5-10 calls)
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- Split very large strategies into multiple transactions
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- Use flash loans to reduce intermediate steps
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### 2. Call Optimization
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**Problem**: Redundant or inefficient calls
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**Solution**:
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- Combine similar operations
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- Remove unnecessary calls
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- Use protocol-specific batch functions (e.g., Balancer batchSwap)
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### 3. Storage Optimization
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**Problem**: Excessive storage operations
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**Solution**:
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- Minimize state changes
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- Use events instead of storage where possible
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- Cache values when appropriate
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## RPC Optimization
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### 1. Connection Pooling
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**Problem**: Slow RPC responses
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**Solution**:
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- Use multiple RPC providers
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- Implement connection pooling
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- Cache non-critical data
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### 2. Batch RPC Calls
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**Problem**: Multiple sequential RPC calls
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**Solution**:
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- Use `eth_call` batch requests
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- Parallelize independent calls
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- Cache results with TTL
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### 3. Provider Selection
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**Problem**: Single point of failure
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**Solution**:
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- Use multiple providers
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- Implement failover logic
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- Monitor provider health
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## Caching Strategy
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### 1. Price Data Caching
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```typescript
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// Cache prices with 60s TTL
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const priceCache = new Map<string, { price: bigint; timestamp: number }>();
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async function getCachedPrice(token: string): Promise<bigint> {
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const cached = priceCache.get(token);
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if (cached && Date.now() - cached.timestamp < 60000) {
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return cached.price;
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}
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const price = await fetchPrice(token);
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priceCache.set(token, { price, timestamp: Date.now() });
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return price;
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}
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```
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### 2. Address Caching
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```typescript
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// Cache protocol addresses (rarely change)
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const addressCache = new Map<string, string>();
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```
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### 3. Gas Estimate Caching
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```typescript
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// Cache gas estimates with short TTL (10s)
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const gasCache = new Map<string, { estimate: bigint; timestamp: number }>();
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```
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## Strategy Optimization
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### 1. Reduce Steps
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**Problem**: Too many steps increase gas
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**Solution**:
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- Combine operations where possible
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- Use protocol batch functions
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- Eliminate unnecessary steps
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### 2. Optimize Flash Loans
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**Problem**: Flash loan overhead
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**Solution**:
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- Only use flash loans when necessary
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- Minimize operations in callback
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- Optimize repayment logic
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### 3. Guard Optimization
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**Problem**: Expensive guard evaluations
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**Solution**:
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- Cache guard results when possible
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- Use cheaper guards first
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- Skip guards for trusted strategies
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## Monitoring Performance
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### Metrics to Track
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1. **Gas Usage**: Average gas per execution
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2. **Execution Time**: Time to complete strategy
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3. **RPC Latency**: Response times
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4. **Cache Hit Rate**: Caching effectiveness
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5. **Success Rate**: Execution success percentage
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### Tools
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- Gas tracker dashboard
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- RPC latency monitoring
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- Cache hit rate tracking
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- Performance profiling
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## Best Practices
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1. **Profile First**: Measure before optimizing
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2. **Optimize Hot Paths**: Focus on frequently used code
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3. **Test Changes**: Verify optimizations don't break functionality
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4. **Monitor Impact**: Track improvements
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5. **Document Changes**: Keep optimization notes
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## Common Optimizations
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### Before
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```typescript
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// Multiple sequential calls
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const price1 = await oracle.getPrice(token1);
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const price2 = await oracle.getPrice(token2);
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const price3 = await oracle.getPrice(token3);
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```
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### After
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```typescript
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// Parallel calls
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const [price1, price2, price3] = await Promise.all([
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oracle.getPrice(token1),
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oracle.getPrice(token2),
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oracle.getPrice(token3),
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]);
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```
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## Performance Checklist
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- [ ] Optimize batch sizes
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- [ ] Implement caching
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- [ ] Use connection pooling
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- [ ] Parallelize independent calls
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- [ ] Monitor gas usage
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- [ ] Profile execution time
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- [ ] Optimize hot paths
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- [ ] Document optimizations
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