A thread-safe throttler library that

• generic for different use cases(eg/ controls the rate limit per host, limit database reads/writes, and etc)
• easy to keep track of throttlers for multiple use cases
• allows you to ramp up and ramp down request rate per throttler

The adaptive throttler is a wrapper around the golang.org/x/time/rate library.

go get github.com/jessicaxiejw/adaptive_throttler

See godoc for in-depth explanation on the functions and parameters.

manager := throttlers.New(throttlers.Params{
	StartingRate: 10,	// request per second
	Burst: 5,
	LowerBound: 1,
	UpperBound: 20,
	Increment: 2,
	Decrement: 1,
})

keys := []string{"http://example.com/", "http://another-example.com/"}
for _, key := range keys {
	go func() {
		manager.Wait(key)	// waiting until request can be sent

		resp, err := http.Get(key)
		if err != nil {
			manager.Decrement(key)
		} else {
			manager.Increment(key)
		}	
	}
}
<-done

When the throttlers are first created, it will use StartingRate for every key. The request rate per key is adjusted based on the Increment and Decrement call. For example, say we set

StartingRate: 10
Burst: 1
LowerBound: 1
UpperBound: 20
Increment: 2
Decrement: 1

We would at first allow 10 requests/s for a given key. Two requests were successfully and we called the Increment function twice. The request rate limit was raised to StartingRate + 2 * Increment = 10 + 2 * 2 = 14 request/s.

Right after, one request wasn't successful and you called Decrement. The rate limit was now set to (current request rate) - Decrement = 14 - 1 = 13 requests/s.

We then successfully sent 4 requests, the new request rate should be (current request rate) + Increment * 4 = 13 + 2 * 4 = 21 requests/s. However, because the UpperBound was set to 20 requests/s, the new request rate actually became 20 requests/s.

Say there were 20 unsuccessful requests in series, the new request rate would hit the LowerBound, which was 1 requests/s.

No.

Even though the package was originally created for keeping track of throttle limits for different hosts, it is designed to be generic for any types of throttling. For example, you can use it for rate limiting a database's read and write per user. The key will be the user name.