In Go language, Mutex is used to protect shared state, suitable for scenarios where complex data structures are frequently read and written, while Channels is used for communication and collaboration between goroutines, suitable for data flow, task scheduling and other scenarios; 2. Mutex belongs to a shared memory model, which is prone to data competition and deadlocks, while Channels follows the philosophy of "shared memory through communication", providing clearer control flow and better combination; 3. In terms of design, Channels should be given priority to using Channels to process concurrent processes, and use Mutex to encapsulate internal states to avoid logical confusion caused by mixing; 4. A secure external interface can be implemented through channel, internal processing synchronization, and external interaction only through communication; 5. The core principle is: use channel to process "process" and "communication", and use mutex to protect "state". Both of them perform their own duties, and understanding their design ideas is more important than syntax.
When handling concurrency in Go, Mutex and Channels are the two most commonly used synchronization mechanisms. They each have applicable scenarios. Understanding their differences and usage methods can help us write safer, clearer and more efficient concurrent programs.

1. Basic concepts: What are Mutex and Channels?
-
Mutex (mutex)
It belongs to the "shared memory" concurrency model. Multiple goroutines protect shared resources by locking/unlocking, preventing data competition from simultaneous reading and writing.var mu sync.Mutex var counter int func increment() { mu.Lock() defer mu.Unlock() counter }
Channels
It belongs to the "communication shared memory" model. Go's philosophy is: "Don't communicate through shared memory, but share memory through communication."
Channel allows goroutines to be synchronized by sending and receiving data instead of directly manipulating shared variables.ch := make(chan int, 1) counter := 0 go func() { val := <-ch counter = val 1 ch <- counter }()
2. Use scenario comparison
? When to use Mutex?
- It requires frequent reading and writing of shared states , and the state is relatively complex (such as a map, structure, etc.).
- Performance sensitive , frequent data transmission through channel is expensive.
- Scenarios with more read and less write can be optimized with
sync.RWMutex
.
Example: Multiple goroutines update a global configuration, statistics counter, cache, etc.
type Counter struct { mu sync.Mutex val int } func (c *Counter) Inc() { c.mu.Lock() defer c.mu.Unlock() c.val }
? When to use Channels?
- The execution sequence needs to be coordinated between goroutines , such as the producer-consumer model.
- Task decomposition and pipeline processing , such as data processing pipelines.
- Signaling , such as waiting for an operation to complete (
done <- true
). - Decoupling : The sender and the receiver do not need to know each other's existence.
Example: Get data in parallel from multiple APIs, and the results are summarized through channel.
results := make(chan string, 3) for i := 0; i < 3; i { go func(id int) { results <- fetchFromAPI(id) }(i) } // Collect results for i := 0; i < 3; i { fmt.Println(<-results) }
3. Philosophical Differences in Design
Comparison items | Mutex | Channels |
---|---|---|
Model | Shared memory | Message delivery |
Control particle size | Lock protection variable | Data flows between goroutines |
readability | Prone to errors (forgot to unlock, deadlock) | Clearer control flow (especially select) |
Combination | Difficult to combine multiple locks | Channel can be selected, close, range, and easy to combine |
Mistakes | Data competition, deadlock | goroutine leak, nil channel operation |
Go's design philosophy recommends using channel to organize concurrent logic, while mutex is more suitable for encapsulating internal states.
4. Actual suggestions: How to choose?
- Priority channel : If you are designing collaboration processes between goroutines, such as task scheduling, data flow, and timeout control, channel is more natural.
- Encapsulate state with mutex : If you just want to access a shared variable safely, encapsulate it with
sync.Mutex
and provide the external method. - Don't over-mix : Avoid using channel to pass data while modifying global variables through mutex, which will confuse logic.
- Performance is not the only standard : While mutex is generally lighter than channel, maintainability and correctness are more important.
5. A tip: encapsulate mutex with channel
Sometimes you can use channel to implement a "thread-safe" service, use mutex internally, and only expose the channel interface to the outside.
type SafeCounter struct { ch chan func(map[string]int) } func NewSafeCounter() *SafeCounter { sc := &SafeCounter{ch: make(chan func(map[string]int))} go sc.run() return sc } func (sc *SafeCounter) run() { m := make(map[string]int) for f := range sc.ch { f(m) } } func (sc *SafeCounter) Inc(key string) { sc.ch <- func(m map[string]int) { m[key] } }
This method completely encapsulates concurrent control inside, and the map cannot be accessed directly from the outside, which is more secure.
Basically that's it.
Simply put: use channel to handle "process" and "communication", and use mutex to protect "state" .
Both are not either this or that, but each performs its duties. Understanding their thinking patterns is more important than remembering grammar.
The above is the detailed content of Concurrency in Go: Mutex vs. Channels. For more information, please follow other related articles on the PHP Chinese website!

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