Common Pitfalls and Solutions
Go development common pitfalls, JS comparison, solutions and best practices.
Common Pitfalls and Solutions
This module summarizes common traps and misconceptions in Go development, compares them with JavaScript, and helps you avoid common problems to improve code quality.
1. Concurrency Programming Pitfalls
Deadlock
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Solutions
- Go: Use buffered channels or select to avoid no receiver
- JS: Use Promise/async properly to avoid callback nesting
Race Conditions
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Solutions
- Go: Use sync.Mutex or atomic operations
- JS: Single-threaded avoids most race conditions
2. Memory Leak Issues
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Solutions
- Go: Close channels timely to avoid goroutine leaks
- JS: Pay attention to closures and event listener unbinding
3. Performance Optimization Misconceptions
- Premature optimization leading to complex code
- Overuse of reflection and interface affecting performance
- Ignoring memory allocation and GC
Best Practices
- Ensure correctness first, then optimize performance
- Use pprof to analyze performance bottlenecks
- Use types and data structures appropriately
4. Error Handling Pitfalls
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Solutions
- Go: Handle each error explicitly, avoid ignoring
- JS: Use try-catch properly, pay attention to async errors
5. Package Management Issues
- Go: go.mod/go.sum out of sync, dependency conflicts
- JS: node_modules conflicts, lock file inconsistencies
Best Practices
- Go: Use go mod tidy to keep dependencies clean
- JS: Lock dependency versions, clean up regularly
It's recommended to practice with real projects and consult official documentation and community experience when encountering problems.
Practical Projects and Comprehensive Applications
Go practical project cases with JS comparison, covering Web API, microservices, concurrent data processing, cloud-native, etc.
Go Idioms and Performance Optimization
Go coding standards, performance optimization techniques, JS comparison and best practices.