Given the code below, I'm trying to understand WHY the Go race detector ( go run -race example.go
) does not complain about a race condition.
var count int
func main() {
http.HandleFunc("/a/", func(w http.ResponseWriter, r *http.Request) {
count++
fmt.Println(count)
})
http.HandleFunc("/b/", func(w http.ResponseWriter, r *http.Request) {
count++
fmt.Println(count)
})
log.Fatal(http.ListenAndServe(":8080", nil))
}
It's my understanding that the Go HTTP Server responds to all requests in a separate goroutine. With that in mind, would not the increments made to the global count variable by the handler functions happen in a goroutine that is separate from the main goroutine and thus, constitute a data race?
If this is not a data race, I'd very much like to know why.
This is a data race, the race detector however does not report races that don't happen. You need to make sure that there are concurrent calls in your test, and ensuring GOMAXPROCS>1
can help flush them out as well.
That's a race condition. False negatives can happen with the race checker.
The race checker is dynamic: rather than checking the source for problems, it only can only see if read and a write actually occur with no sync operation in between. There's no synchronizing operation in your code, but if one occurs in net/http
between the increments, it'll be fooled. Its author suggests , essentially, running concurrent stress tests to shake out problems:
- write good concurrent tests
- have continuous build with race detector
- run integration tests
- run race-enabled canaries in production
In Go 1.4 and below, you should also make sure your program runs on more than one core with, eg, runtime.GOMAXPROCS(runtime.NumCPU())
. In Go 1.5, to be released around the end of 2015, GOMAXPROCS will run your code on all available cores by default.
count++
is a data race. It does not happen atomically. It is the same as:
count = count + 1
If the race detector doesn't see it, you probably are not hitting the server hard enough.
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