Go Interview Questions and Answers for 10 years experience
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What are goroutines and how do they differ from threads?
- Answer: Goroutines are lightweight, concurrently executing functions managed by the Go runtime. Unlike threads, which are managed by the operating system and have significant overhead, goroutines are much cheaper to create and manage. The Go runtime multiplexes goroutines onto a smaller number of OS threads, using a technique called M:N scheduling. This allows for high concurrency with minimal resource consumption. Threads have more overhead in terms of memory and context switching.
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Explain the concept of channels in Go and their use in concurrency.
- Answer: Channels are typed conduits through which goroutines can communicate. They provide a safe and synchronized way to exchange data between concurrently running functions. Channels can be buffered or unbuffered. Unbuffered channels require a sender and receiver to be ready simultaneously; otherwise, the sender will block until a receiver is available, and vice-versa. Buffered channels can hold a specified number of values; the sender blocks only when the buffer is full, and the receiver blocks only when the buffer is empty.
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Describe the Go memory model and its implications for concurrent programming.
- Answer: The Go memory model defines how goroutines interact with shared memory. It specifies the rules for data races, ensuring that concurrent access to shared variables doesn't lead to unpredictable behavior. The model guarantees that data written by one goroutine is eventually visible to other goroutines, but it doesn't specify the exact ordering of operations. Understanding the memory model is crucial for writing correct and efficient concurrent programs. Data races must be avoided using synchronization primitives like mutexes or channels.
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What are mutexes and how are they used to protect shared resources?
- Answer: Mutexes (mutual exclusions) are synchronization primitives that prevent multiple goroutines from accessing a shared resource concurrently. A mutex has two states: locked and unlocked. A goroutine acquires (locks) a mutex before accessing the shared resource and releases (unlocks) it afterward. If a goroutine tries to acquire a locked mutex, it will block until the mutex is unlocked. This ensures exclusive access to the shared resource, preventing data races and inconsistencies.
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Explain the difference between `sync.Mutex` and `sync.RWMutex`.
- Answer: `sync.Mutex` provides exclusive access to a shared resource; only one goroutine can hold the lock at a time. `sync.RWMutex` allows multiple goroutines to read concurrently but only one goroutine to write at a time. This is more efficient than `sync.Mutex` when there are many more reads than writes.
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How do you handle errors in Go?
- Answer: Go uses explicit error handling. Most functions that can fail return an error value (typically the last return value). The calling function checks this error value and handles it appropriately, typically using an `if err != nil` check. Error handling is crucial for robust Go applications; ignoring errors can lead to unexpected behavior or crashes.
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What are interfaces in Go and how are they used?
- Answer: Interfaces in Go define a set of methods that a type must implement. A type implicitly implements an interface by implementing its methods. Interfaces promote polymorphism and decoupling; you can work with different types that implement the same interface without knowing their concrete type. This is essential for building flexible and reusable code.
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Explain the concept of embedding in Go structs.
- Answer: Embedding in Go allows you to include one struct within another, inheriting the embedded struct's fields and methods. This promotes code reuse and improves organization. The embedded struct's methods are promoted to the outer struct, making them directly accessible.
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What are context packages in Go and why are they important for long-running operations?
- Answer: The `context` package provides mechanisms for passing deadlines, cancellation signals, and other request-scoped values across API boundaries and between goroutines. It's crucial for managing long-running operations because it allows graceful cancellation and termination without leaking resources. The context provides a way to signal cancellation to child goroutines, preventing them from running indefinitely.
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