goDuck

This project's purpose is to be an engine that abstract message dispatching for workers that deals with the concept of either streams or pools. In other words, reading a message from a stream or a pool, and delivering that message through the Processor Interface and interpreting its return value.

It is important to note that, if the Process function returns an error, the engine wont Ack the message, thus, not removing it from the queue or stream. The main idea for this, is that the engine guarantees that every message will be processed at least once, without errors.

Sample of a stream processor

import(
	"github.com/arquivei/goduck"
	"github.com/arquivei/goduck/engine/streamengine"
)
// The engine requires a type that implements the Process function
type processor struct{}

// Process func will receive the pulled message from the engine.
func (p processor) Process(ctx context.Context, message []byte) error {
	...
    err := serviceCall(args)
    ...
	return err
}
func main {
    // call below returns a kafka abstraction (interface)
    kafka := NewKafkaStream(<your-config>)
    engine := streamengine.New(processor{}, []goduck.Stream{kafka})
    engine.Run(context.Background())
}

Sample of a pool processor

import(
	"github.com/arquivei/goduck"
	"github.com/arquivei/goduck/engine/streamengine"
)
// The engine requires a type that implements the Process function
type processor struct{}

// Process func will receive the pulled message from the engine.
func (p processor) Process(ctx context.Context, message []byte) error {
	...
    err := serviceCall(args)
    ...
	return err
}


func main {
    // call below returns a pubsub abstraction (interface)
    pubsub, err := NewPubsubQueue(<your-config>) 
    if err != nil {
        <handle err>
    }
    engine := jobpoolengine.New(pubsub, processor{}, 1)
    engine.Run(context.Background())
}

Important configuration

Kafka

• Commit interval: Set this to allow asynchronous message processing between commits. Without a value, defaults to every message having to be acknowledged before a new one is retrieved. This is bad to have when you should avoid message reprocessing. Suppose there is a failure and the engine stops executing while processing. The larger the commit interval is, higher is the chance of duplicating messages

To terminate the engine execution, a simple context cancellation will perform a shutdown of the application.