Retry
Retry is a Go library for facilitating retry logic and backoff. It's highly
extensible with full control over how and when retries occur. You can also write
your own custom backoff functions by implementing the Backoff interface.
Features
-
Extensible - Inspired by Go's built-in HTTP package, this Go backoff and
retry library is extensible via middleware. You can write custom backoff
functions or use a provided filter.
-
Independent - No external dependencies besides the Go standard library,
meaning it won't bloat your project.
-
Concurrent - Unless otherwise specified, everything is safe for concurrent
use.
-
Context-aware - Use native Go contexts to control cancellation.
Usage
Here is an example use for connecting to a database using Go's database/sql
package:
package main
import (
"context"
"database/sql"
"log"
"time"
"github.com/sethvargo/go-retry"
)
func main() {
db, err := sql.Open("mysql", "...")
if err != nil {
log.Fatal(err)
}
ctx := context.Background()
if err := retry.Fibonacci(ctx, 1*time.Second, func(ctx context.Context) error {
if err := db.PingContext(ctx); err != nil {
return retry.RetryableError(err)
}
return nil
}); err != nil {
log.Fatal(err)
}
}
Backoffs
In addition to your own custom algorithms, there are built-in algorithms for
backoff in the library.
Constant
A very rudimentary backoff, just returns a constant value. Here is an example:
1s -> 1s -> 1s -> 1s -> 1s -> 1s
Usage:
NewConstant(1 * time.Second)
Exponential
Arguably the most common backoff, the next value is double the previous value.
Here is an example:
1s -> 2s -> 4s -> 8s -> 16s -> 32s -> 64s
Usage:
NewExponential(1 * time.Second)
Fibonacci
The Fibonacci backoff uses the Fibonacci sequence to calculate the backoff. The
next value is the sum of the current value and the previous value. This means
retires happen quickly at first, but then gradually take slower, ideal for
network-type issues. Here is an example:
1s -> 1s -> 2s -> 3s -> 5s -> 8s -> 13s
Usage:
NewFibonacci(1 * time.Second)
Modifiers (Middleware)
The built-in backoff algorithms never terminate and have no caps or limits - you
control their behavior with middleware. There's built-in middleware, but you can
also write custom middleware.
Jitter
To reduce the changes of a thundering herd, add random jitter to the returned
value.
b := NewFibonacci(1 * time.Second)
b = WithJitter(500*time.Millisecond, b)
b = WithJitterPercent(5, b)
MaxRetries
To terminate a retry, specify the maximum number of retries. Note this
is retries, not attempts. Attempts is retries + 1.
b := NewFibonacci(1 * time.Second)
b = WithMaxRetries(4, b)
CappedDuration
To ensure an individual calculated duration never exceeds a value, use a cap:
b := NewFibonacci(1 * time.Second)
b = WithCappedDuration(2 * time.Second, b)
WithMaxDuration
For a best-effort limit on the total execution time, specify a max duration:
b := NewFibonacci(1 * time.Second)
b = WithMaxDuration(5 * time.Second, b)
Benchmarks
Here are benchmarks against some other popular Go backoff and retry libraries.
You can run these benchmarks yourself via the benchmark/
folder. Commas and
spacing fixed for clarity.
Benchmark/cenkalti-7 13,052,668 87.3 ns/op
Benchmark/lestrrat-7 902,044 1,355 ns/op
Benchmark/sethvargo-7 203,914,245 5.73 ns/op
Notes and Caveats
- Randomization uses
math/rand
seeded with the Unix timestamp instead of
crypto/rand
. - Ordering of addition of multiple modifiers will make a difference.
For example; ensure you add
CappedDuration
before WithMaxDuration
, otherwise it may early out too early.
Another example is you could add Jitter
before or after capping depending on your desired outcome.