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Table of Contents
Use -race detector
Write tests to cover concurrent scenarios
Use tools to assist in analysis
Locking or using channel? Don't let choices leave hidden dangers
Home Backend Development Golang How to detect race conditions in Go

How to detect race conditions in Go

Jul 15, 2025 am 02:36 AM
go

Using the -race detector can effectively detect race conditions; write test triggering problems for overwriting concurrent scenarios; combine static analysis tools to assist troubleshooting; and reasonably choose locking or channel control synchronization. Specifically, 1. Run go test -race or go run -race main.go to enable competitive detection; 2. Write test code for multiple goroutines to concurrently modify shared resources; 3. Use go vet, IDE plug-in, golangci-lint and other tools to analyze potential risks; 4. Use sync.Mutex locking or channel to control access order, and ensure that all paths are processed synchronously to prevent deadlocks and performance problems; 5. Include race detection into daily development and CI processes to continuously ensure concurrency security.

How to detect race conditions in Go

When writing concurrent programs, Go's goroutine and channel mechanisms are easy to use, but you can easily get into the trap of race conditions if you are not careful. This kind of problem is often not easy to detect in the test environment and is exposed after it is launched, which is also a headache to check. So the key is how to detect and prevent it in advance.

How to detect race conditions in Go

Below are some commonly used methods and techniques in actual work to help you block race condition before publishing.


Use -race detector

Go comes with a very practical competitive detection tool, which is to add the -race parameter when running a program or test.

How to detect race conditions in Go

For example, running a single test:

 go test -race

Or run the program directly:

How to detect race conditions in Go
 go run -race main.go

It will monitor memory access during operation. Once it is found that two goroutines read and write the same variable at the same time and there is no synchronization mechanism protection, a race error will be reported.

Note: Turning on -race will significantly affect performance, so it is recommended to use it during the test phase and not for use in production environments.


Write tests to cover concurrent scenarios

Relying on -race alone is not enough, it must be combined with test codes that can trigger concurrent conflicts.

You can start multiple goroutines in the test and operate on shared resources at the same time. for example:

 func TestRaceCondition(t *testing.T) {
    var wg sync.WaitGroup
    var counter int

    for i := 0; i < 100; i {
        wg.Add(1)
        go func() {
            defer wg.Done()
            counter  
        }()
    }

    wg.Wait()
}

There is obviously a race condition in this code. If you run this test with -race , you should see the warning message.

So the key points of writing this type of test are:

  • Start multiple goroutines
  • Modify the same piece of data
  • No locking or channel control order

This will make it easier to trigger potential problems.


Use tools to assist in analysis

In addition to -race , some static analysis tools can also be used to help locate possible problem sources.

for example:

  • go vet can check for some common error patterns:
 go vet
  • IDE plug-ins, such as VS Code's Go plug-in, can also prompt potential data competition risks when encoding.
  • Third-party tools such as golangci-lint integrate multiple inspectors and can also be configured to enable race-related rules.

These tools cannot be completely replaced by -race , but can be used as a supplement to find problems during the development stage.


Locking or using channel? Don't let choices leave hidden dangers

There are two common practices for handling concurrent access in Go: locking (such as sync.Mutex ), or controlling the access order through the channel.

For example, you can change the above counter self-increase example to this:

 var mu sync.Mutex
var counter int

func increment() {
    mu.Lock()
    defer mu.Unlock()
    counter  
}

Or use channel to control access:

 ch := make(chan struct{}, 1)

func increment() {
    ch <- struct{}{}
    counter  
    <-ch
}

Race can be avoided in both ways, but you need to pay attention to:

  • When adding locks, make sure that all access paths are locked correctly.
  • If the channel is not used properly, it may lead to deadlock or performance bottlenecks.

So the key is to access the entrance uniformly and control the synchronization logic, rather than just adding a lock or sending a message to be done.


Basically that's it. Detection of race conditions is not a one-time task, but something that must be paid attention to in daily development, testing, and CI processes. Although there are not many methods, as long as you insist on using -race and supporting tests, most problems can be discovered in advance.

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