Questions about Asynchronous Communication Feature in GoTask
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Description
Problem Description:
I'm exploring the usage of the gotask package in my project and I'm encountering a scenario where I need to execute heavy processes using Go tasks. However, I'm looking for a feature that allows asynchronous communication between the code triggering the Go tasks and the tasks themselves. This feature would enable me to receive partial results or updates from the process as it progresses, similar to a "yield" mechanism in asynchronous languages.
Question
- Does the gotask package already include the functionality for asynchronous communication?
- If yes, how can I use this functionality to receive updates or partial results from Go tasks while they are being processed?
- If the functionality doesn't exist, do you have any suggestions or tips on how I can implement this type of asynchronous communication in conjunction with the gotask package?
Examples
If possible, I would appreciate seeing examples of how this functionality can be implemented, whether by using existing features within the gotask package or through suggestions on extending the code to achieve this goal. Below is an example of what I have in mind:
package main
import (
"log"
"time"
"github.com/hyperf/gotask/v2/pkg/gotask"
)
// App sample
type App struct{}
// ProcessBatch executes batch processing and sends asynchronous updates.
func (a *App) ProcessBatch(input interface{}, r *string) error {
for i := 1; i <= 10; i++ {
// Simulating heavy processing
time.Sleep(1 * time.Second)
// Sending asynchronous update
gotask.AsyncUpdate(fmt.Sprintf("Processed %d items", i))
}
*r = "Processing completed"
return nil
}
func main() {
if err := gotask.Register(new(App)); err != nil {
log.Fatalln(err)
}
if err := gotask.Run(); err != nil {
log.Fatalln(err)
}
}
Benefits
Implementing this asynchronous communication feature between Go tasks and the triggering code would open up new possibilities for utilizing the gotask package. Furthermore, this feature would enhance the utility of the library for heavy processing scenarios.
Thank you in advance for your attention and assistance!