Kafka adjustments

common/event/writer.go

@@ -42,9 +42,10 @@ import (
 )
 
 var (
-	log          = logger.New(logrus.StandardLogger(), "event")
-	KAFKAWRITER  = "kafka_writer"
-	KAFKAPREPARE = "kafka_prepare"
+	log             = logger.New(logrus.StandardLogger(), "event")
+	KAFKAWRITER     = "kafka_writer"
+	KAFKAPREPARE    = "kafka_prepare"
+	writerBatchsize = 100
 )
 
 type Writer interface {
@@ -76,7 +77,7 @@ type KafkaWriter struct {
 	toBatchMessagesChan chan kafka.Message
 	messageBuffer       FifoBuffer[kafka.Message]
 	// NOTE: we use settable callback in order to be able to test writing of messages via KafkaWriter, without necessity of setting up cluster
-	writeFunction      func([]kafka.Message, *monitoring.Metric)
+	writeFunction      func([]kafka.Message)
 	runningWorkers     sync.WaitGroup
 	batchingLoopDoneCh chan struct{}
 }
@@ -94,19 +95,30 @@ func NewWriterWithTopic(topic topic.Topic) *KafkaWriter {
 			Topic:                  string(topic),
 			Balancer:               &kafka.Hash{},
 			AllowAutoTopicCreation: true,
+			BatchTimeout:           time.Millisecond, // we are batching the messages ourselves and writing sync into writer, so long timeout is not necessary
+			BatchSize:              writerBatchsize,
 		},
-		toBatchMessagesChan: make(chan kafka.Message, 10000),
+		toBatchMessagesChan: make(chan kafka.Message, 100000),
 		messageBuffer:       NewFifoBuffer[kafka.Message](),
 		runningWorkers:      sync.WaitGroup{},
 		batchingLoopDoneCh:  make(chan struct{}, 1),
 	}
 
-	writer.writeFunction = func(messages []kafka.Message, metric *monitoring.Metric) {
-		defer monitoring.TimerNS(metric)()
+	writer.writeFunction = func(messages []kafka.Message) {
+		metric := writer.newMetric(KAFKAWRITER)
+		metric.SetFieldUInt64("messages_sent", uint64(len(messages)))
+		metric.SetFieldUInt64("messages_failed", 0)
+
+		metricDuration := writer.newMetric(KAFKAWRITER)
+		defer monitoring.SendHistogrammable(&metricDuration)
+		defer monitoring.TimerNS(&metricDuration)()
+
 		if err := writer.WriteMessages(context.Background(), messages...); err != nil {
 			metric.SetFieldUInt64("messages_failed", uint64(len(messages)))
 			log.Errorf("failed to write %d messages to kafka with error: %v", len(messages), err)
 		}
+
+		monitoring.Send(&metric)
 	}
 
 	go writer.writingLoop()
@@ -138,18 +150,11 @@ func (w *KafkaWriter) writingLoop() {
 			w.runningWorkers.Done()
 			return
 		default:
-			messagesToSend := w.messageBuffer.PopMultiple(100)
+			messagesToSend := w.messageBuffer.PopMultiple(uint(writerBatchsize))
 			if len(messagesToSend) == 0 {
 				continue
 			}
-
-			metric := w.newMetric(KAFKAWRITER)
-			metric.SetFieldUInt64("messages_sent", uint64(len(messagesToSend)))
-			metric.SetFieldUInt64("messages_failed", 0)
-
-			w.writeFunction(messagesToSend, &metric)
-
-			monitoring.Send(&metric)
+			w.writeFunction(messagesToSend)
 		}
 	}
 }
@@ -241,25 +246,23 @@ func (w *KafkaWriter) WriteEventWithTimestamp(e interface{}, timestamp time.Time
 
 	metric := w.newMetric(KAFKAPREPARE)
 
-	func() {
-		defer monitoring.TimerNS(&metric)()
-		wrappedEvent, key, err := internalEventToKafkaEvent(e, timestamp)
-		if err != nil {
-			log.WithField("event", e).
-				WithField("level", infologger.IL_Support).
-				Errorf("Failed to convert event to kafka event: %s", err.Error())
-			return
-		}
+	defer monitoring.SendHistogrammable(&metric)
+	defer monitoring.TimerNS(&metric)()
 
-		message, err := kafkaEventToKafkaMessage(wrappedEvent, key)
-		if err != nil {
-			log.WithField("event", e).
-				WithField("level", infologger.IL_Support).
-				Errorf("Failed to convert kafka event to message: %s", err.Error())
-			return
-		}
-		w.toBatchMessagesChan <- message
-	}()
+	wrappedEvent, key, err := internalEventToKafkaEvent(e, timestamp)
+	if err != nil {
+		log.WithField("event", e).
+			WithField("level", infologger.IL_Support).
+			Errorf("Failed to convert event to kafka event: %s", err.Error())
+		return
+	}
 
-	monitoring.Send(&metric)
+	message, err := kafkaEventToKafkaMessage(wrappedEvent, key)
+	if err != nil {
+		log.WithField("event", e).
+			WithField("level", infologger.IL_Support).
+			Errorf("Failed to convert kafka event to message: %s", err.Error())
+		return
+	}
+	w.toBatchMessagesChan <- message
 }

common/event/writer_test.go

@@ -27,7 +27,6 @@ package event
 import (
 	"sync"
 
-	"github.com/AliceO2Group/Control/common/monitoring"
 	pb "github.com/AliceO2Group/Control/common/protos"
 	. "github.com/onsi/ginkgo/v2"
 	. "github.com/onsi/gomega"
@@ -47,7 +46,7 @@ var _ = Describe("Writer", func() {
 			writer.runningWorkers = sync.WaitGroup{}
 			writer.batchingLoopDoneCh = make(chan struct{}, 1)
 
-			writer.writeFunction = func(messages []kafka.Message, _ *monitoring.Metric) {
+			writer.writeFunction = func(messages []kafka.Message) {
 				Expect(len(messages)).To(Equal(1))
 				event := &pb.Event{}
 				proto.Unmarshal(messages[0].Value, event)