goworker alternatives and similar packages
Based on the "Goroutines" category
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semaphore
Semaphore pattern implementation with timeout of lock/unlock operations based on channel and context. -
Hunch
Hunch provides functions like: All, First, Retry, Waterfall etc., that makes asynchronous flow control more intuitive. -
go-tools/multithreading
Manage a pool of goroutines using this lightweight library with a simple API. -
conexec
A concurrent toolkit to help execute funcs concurrently in an efficient and safe way.It supports specifying the overall timeout to avoid blocking and uses goroutine pool to improve efficiency. -
queue
Gives you a sync.WaitGroup like queue group accessibility. Helps you to throttle and limit goroutines, wait for the end of the all goroutines and much more. -
oversight
Oversight is a complete implementation of the Erlang supervision trees.
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README
goworker
goworker is a Resque-compatible, Go-based background worker. It allows you to push jobs into a queue using an expressive language like Ruby while harnessing the efficiency and concurrency of Go to minimize job latency and cost.
goworker workers can run alongside Ruby Resque clients so that you can keep all but your most resource-intensive jobs in Ruby.
Installation
To install goworker, use
go get github.com/benmanns/goworker
to install the package, and then from your worker
import "github.com/benmanns/goworker"
Getting Started
To create a worker, write a function matching the signature
func(string, ...interface{}) error
and register it using
goworker.Register("MyClass", myFunc)
Here is a simple worker that prints its arguments:
package main
import (
"fmt"
"github.com/benmanns/goworker"
)
func myFunc(queue string, args ...interface{}) error {
fmt.Printf("From %s, %v\n", queue, args)
return nil
}
func init() {
goworker.Register("MyClass", myFunc)
}
func main() {
if err := goworker.Work(); err != nil {
fmt.Println("Error:", err)
}
}
To create workers that share a database pool or other resources, use a closure to share variables.
package main
import (
"fmt"
"github.com/benmanns/goworker"
)
func newMyFunc(uri string) (func(queue string, args ...interface{}) error) {
foo := NewFoo(uri)
return func(queue string, args ...interface{}) error {
foo.Bar(args)
return nil
}
}
func init() {
goworker.Register("MyClass", newMyFunc("http://www.example.com/"))
}
func main() {
if err := goworker.Work(); err != nil {
fmt.Println("Error:", err)
}
}
Here is a simple worker with settings:
package main
import (
"fmt"
"github.com/benmanns/goworker"
)
func myFunc(queue string, args ...interface{}) error {
fmt.Printf("From %s, %v\n", queue, args)
return nil
}
func init() {
settings := goworker.WorkerSettings{
URI: "redis://localhost:6379/",
Connections: 100,
Queues: []string{"myqueue", "delimited", "queues"},
UseNumber: true,
ExitOnComplete: false,
Concurrency: 2,
Namespace: "resque:",
Interval: 5.0,
}
goworker.SetSettings(settings)
goworker.Register("MyClass", myFunc)
}
func main() {
if err := goworker.Work(); err != nil {
fmt.Println("Error:", err)
}
}
goworker worker functions receive the queue they are serving and a slice of interfaces. To use them as parameters to other functions, use Go type assertions to convert them into usable types.
// Expecting (int, string, float64)
func myFunc(queue, args ...interface{}) error {
idNum, ok := args[0].(json.Number)
if !ok {
return errorInvalidParam
}
id, err := idNum.Int64()
if err != nil {
return errorInvalidParam
}
name, ok := args[1].(string)
if !ok {
return errorInvalidParam
}
weightNum, ok := args[2].(json.Number)
if !ok {
return errorInvalidParam
}
weight, err := weightNum.Float64()
if err != nil {
return errorInvalidParam
}
doSomething(id, name, weight)
return nil
}
For testing, it is helpful to use the redis-cli program to insert jobs onto the Redis queue:
redis-cli -r 100 RPUSH resque:queue:myqueue '{"class":"MyClass","args":["hi","there"]}'
will insert 100 jobs for the MyClass worker onto the myqueue queue. It is equivalent to:
class MyClass
@queue = :myqueue
end
100.times do
Resque.enqueue MyClass, ['hi', 'there']
end
or
goworker.Enqueue(&goworker.Job{
Queue: "myqueue",
Payload: goworker.Payload{
Class: "MyClass",
Args: []interface{}{"hi", "there"},
},
})
Flags
There are several flags which control the operation of the goworker client.
-queues="comma,delimited,queues"— This is the only required flag. The recommended practice is to separate your Resque workers from your goworkers with different queues. Otherwise, Resque worker classes that have no goworker analog will cause the goworker process to fail the jobs. Because of this, there is no default queue, nor is there a way to select all queues (à la Resque's*queue). If you have multiple queues you can assign them weights. A queue with a weight of 2 will be checked twice as often as a queue with a weight of 1:-queues='high=2,low=1'.-interval=5.0— Specifies the wait period between polling if no job was in the queue the last time one was requested.-concurrency=25— Specifies the number of concurrently executing workers. This number can be as low as 1 or rather comfortably as high as 100,000, and should be tuned to your workflow and the availability of outside resources.-connections=2— Specifies the maximum number of Redis connections that goworker will consume between the poller and all workers. There is not much performance gain over two and a slight penalty when using only one. This is configurable in case you need to keep connection counts low for cloud Redis providers who limit plans onmaxclients.-uri=redis://localhost:6379/— Specifies the URI of the Redis database from which goworker polls for jobs. Accepts URIs of the formatredis://user:pass@host:port/dborunix:///path/to/redis.sock. The flag may also be set by the environment variable$($REDIS_PROVIDER)or$REDIS_URL. E.g. set$REDIS_PROVIDERtoREDISTOGO_URLon Heroku to let the Redis To Go add-on configure the Redis database.-namespace=resque:— Specifies the namespace from which goworker retrieves jobs and stores stats on workers.-exit-on-complete=false— Exits goworker when there are no jobs left in the queue. This is helpful in conjunction with thetimecommand to benchmark different configurations.
You can also configure your own flags for use within your workers. Be sure to set them before calling goworker.Main(). It is okay to call flags.Parse() before calling goworker.Main() if you need to do additional processing on your flags.
Signal Handling in goworker
To stop goworker, send a QUIT, TERM, or INT signal to the process. This will immediately stop job polling. There can be up to $CONCURRENCY jobs currently running, which will continue to run until they are finished.
Failure Modes
Like Resque, goworker makes no guarantees about the safety of jobs in the event of process shutdown. Workers must be both idempotent and tolerant to loss of the job in the event of failure.
If the process is killed with a KILL or by a system failure, there may be one job that is currently in the poller's buffer that will be lost without any representation in either the queue or the worker variable.
If you are running goworker on a system like Heroku, which sends a TERM to signal a process that it needs to stop, ten seconds later sends a KILL to force the process to stop, your jobs must finish within 10 seconds or they may be lost. Jobs will be recoverable from the Redis database under
resque:worker:<hostname>:<process-id>-<worker-id>:<queues>
as a JSON object with keys queue, run_at, and payload, but the process is manual. Additionally, there is no guarantee that the job in Redis under the worker key has not finished, if the process is killed before goworker can flush the update to Redis.
Contributing
- Fork it
- Create your feature branch (
git checkout -b my-new-feature) - Commit your changes (
git commit -am 'Add some feature') - Push to the branch (
git push origin my-new-feature) - Create new Pull Request