Quacfka 🏹🦆

Go library to stream Kafka protobuf messages to DuckDB. Uses generics. Use your protobuf message as a type parameter to autogenerate an Arrow schema, provide a protobuf unmarshaling func, and stream data into DuckDB with a very high throughput.

Features

Arrow schema generation from a protobuf message type parameter

• Converts a proto.Message into an Apache Arrow schema
  • Supports nested types

Configurable loggers

• Set Debug, Error, and benchmark loggers

🚀 Install

Using Quacfka is easy. First, use go get to install the latest version of the library.

go get -u github.com/loicalleyne/quacfka@latest

💡 Usage

You can import quacfka using:

import "github.com/loicalleyne/quacfka"

Create a new Orchestrator, configure the Kafka client, processing and DuckDB, then Run(). Kafka client can be configured with a slice of franz-go/pkg/kgo.Opt or SASL user/pass auth.

	import q "github.com/loicalleyne/quacfka"
	/* 
	Options:
	- create with DuckDB file rotation
	- create with a CustomArrow function to munge the Arrow record in-flight and insert it to another DuckDB table
	- create with a Normalizer to create a normalized Arrow Record you can write to in your proto decode function
	- run without Kafka
	- run without protobuf message decoding
	- run without duckdb
	 */
	normFields := []string{"id", "site.id", "timestamp.seconds", "stores[0].gallery.deals.id"}
	normAliases := []string{"id", "site", "event_time", "deal"}
    o, err := q.NewOrchestrator[*your.CustomProtoMessageType](q.WithFileRotateThresholdMB(5000), q.WithCustomArrows([]q.CustomArrow{{CustomFunc: flattenNestedForAgg, DestinationTable: "test"}}),q.WithNormalizer(normFields, normAliases, false))
	if err != nil {
		panic(err)
	}
	defer o.Close()
	q.SetDebugLogger(log.Printf)
	q.SetErrorLogger(log.Printf)
	q.SetFatalLogger(log.Fatalf)
	q.SetBenchmarkLogger(log.Printf)
    k := o.NewKafkaConfig()
	k.ClientCount.Store(int32(*kafkaRoutines))
	k.MsgChanCap = 122880 * 5
	k.ConsumerGroup = os.Getenv("CONSUMER_GROUP")
	k.Seeds = append(k.Seeds, os.Getenv("KAFKA_SEED"))
	k.User = os.Getenv("KAFKA_USER")
	k.Password = os.Getenv("KAFKA_PW")
	k.Munger = messageMunger
	k.Topic = "kafka.topic01"
    // Tune record channel capacity, row group size, number of processing routines, set custom unmarshal func
	err = o.ConfigureProcessor(*duckRoutines*3, 1, *routines, customProtoUnmarshal)
	if err != nil {
		log.Println(err)
		panic(err)
	}
	var driverPath string
	switch runtime.GOOS {
	case "darwin":
		driverPath = "/usr/local/lib/libduckdb.so.dylib"
	case "linux":
		driverPath = "/usr/local/lib/libduckdb.so"
	case "windows":
		h, _ := os.UserHomeDir()
		driverPath = h + "\\Downloads\\libduckdb-windows-amd64\\duckdb.dll"
	default:
	}
	err = o.ConfigureDuck(q.WithPathPrefix("duck"), q.WithDriverPath(driverPath), q.WithDestinationTable("mytable"), q.WithDuckConnections(*duckRoutines))
	if err != nil {
		panic(err)
	}
	// Use MockKafka to generate random data for your custom proto to simulate consuming the protobuf from Kafka
	// wg.Add(1)
	// go o.MockKafka(ctxT, &wg, &rr.BidRequestEvent{Id: "1233242423243"})
	wg.Add(1)
	go o.Run(ctxT, &wg)
	// Get chan string of closed, rotated DuckDB files
	duckFiles := o.DuckPaths()
	...
	// Query duckdb files to aggregate, activate alerts, etc...
	...
	wg.Wait()
	// Check for processing errors
	if o.Error() != nil {
		log.Println(err)
	}
	// Print pipeline metrics
	log.Printf("%v\n", o.Report())
...
func customProtoUnmarshal(m []byte, s any) error {
	newMessage := rr.BidRequestEventFromVTPool()
	err := newMessage.UnmarshalVTUnsafe(m)
	if err != nil {
		return err
	}
	// Assert s to `*bufarrow.Schema[*your.CustomProtoMessageType]`
	// Populate the Normalizer Arrow Record with flattened data
	rb := s.(*bufarrow.Schema[*rr.BidRequestEvent]).NormalizerBuilder()
	if rb != nil {
		b := rb.Fields()
		if b != nil {
			id := newMessage.GetId()
			site := newMessage.GetSite().GetId()
			timestampSeconds := newMessage.GetTimestamp().GetSeconds()
			if len(newMessage.GetStores()[0].GetGallery().GetDeals()) == 0 {
				b[0].(*array.StringBuilder).Append(id)
				b[1].(*array.StringBuilder).Append(site)
				b[2].(*array.Int64Builder).Append(timestampSeconds)
				b[3].(*array.StringBuilder).AppendNull()
			}
			for i := 0; i < len(newMessage.GetImp()[0].GetPmp().GetDeals()); i++ {
				b[0].(*array.StringBuilder).Append(id)
				b[1].(*array.StringBuilder).Append(site)
				b[2].(*array.Int64Builder).Append(timestampSeconds)
				b[3].(*array.StringBuilder).Append(newMessage.GetImp()[0].GetPmp().GetDeals()[i].GetId())
			}
		}

	// Assert s to `*bufarrow.Schema[*your.CustomProtoMessageType]`
	s.(*bufarrow.Schema[*your.CustomProtoMessageType]).Append(newMessage)
	newMessage.ReturnToVTPool()
	return nil
}

// Custom protobuf wire format bytes munger
// Confluent Java client adds magic bytes at beginning of message which will cause
// protobuf decoding to fail if not removed
func messageMunger(m []byte) []byte {
	return m[6:]
}

// Custom Arrow function to build a new Arrow Record from the main processing output Record 
func flattenNestedForAgg(ctx context.Context, dest string, record arrow.Record) arrow.Record {
	...
	return mungedRecord
}
// {
//   "start_time": "2025-01-30T23:59:33Z",
//   "end_time": "2025-01-31T00:04:09Z",
//   "records": "152_838_106.00",
//   "data_transferred": "176.14 GB",
//   "duration": "4m36.229s",
//   "records_per_second": "553_301.35",
//   "transfer_rate": "652.95 MB/second"
// }

Generate random data to emulate the Kafka topic

	wg.Add(1)
	// Instantiate a sample proto.Message to provide a description,
	// random data will be generated for all fields.
	go o.MockKafka(ctxT, &wg, &your.CustomProtoMessageType{Id: "1233242423243"})
	wg.Add(1)
	// WithFileRotateThresholdMB specifies a file rotation threshold target in MB (not very accurate yet)
	go o.Run(ctxT, &wg, q.WithoutKafka(), q.WithFileRotateThresholdMB(250))
	wg.Wait()

💫 Show your support

Give a ⭐️ if this project helped you! Feedback and PRs welcome.

Licence

Quacfka is released under the Apache 2.0 license. See LICENCE.txt