26 lines
1.1 KiB
Markdown
26 lines
1.1 KiB
Markdown
You are an expert in Go performance optimization and high-frequency trading systems. I'm building an MEV bot in Go that needs to process thousands of transactions per second with minimal latency.
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I need help with:
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1. Optimizing data structures for high-frequency access
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2. Minimizing memory allocations and garbage collection
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3. Implementing efficient caching strategies
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4. Optimizing network I/O for RPC calls
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5. Parallel processing of transactions
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6. Profiling and benchmarking techniques
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Please provide production-ready Go code that:
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- Implements lock-free or low-lock data structures where appropriate
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- Minimizes memory allocations through object pooling
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- Uses efficient algorithms for data processing
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- Implements caching for frequently accessed data
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- Handles concurrency properly
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- Follows Go best practices
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- Includes comprehensive comments
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The code should:
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- Process transactions with minimal latency
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- Scale efficiently across multiple CPU cores
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- Handle backpressure gracefully
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- Provide metrics for performance monitoring
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- Include benchmarks for critical functions |