support round robin partitionner for kafka

docs/_integration/kafka/config.yml

@@ -15,7 +15,7 @@ pipelines:
 
   - name: kafka
     kafkaproducer:
-      remote-address: 127.0.0.1
+      remote-address: 192.168.1.16
       remote-port: 9092
       connect-timeout: 5
       retry-interval: 10
@@ -29,6 +29,6 @@ pipelines:
       mode: flat-json
       buffer-size: 100
       topic: "dnscollector"
-      partition: 0
+      partition: null
       chan-buffer-size: 4096
       compression: none

docs/examples.md

@@ -5,7 +5,7 @@ You will find below some examples of configurations to manage your DNS logs.
 
 - Pipelines running mode
   - [x] [Advanced example with DNSmessage collector](./_examples/use-case-24.yml)
-  - [x] [How to only log slow responses and errors only?](./_examples/use-case-25.yml)
+  - [x] [How can I log only slow responses and errors?"](./_examples/use-case-25.yml)
 
 - Capture DNS traffic from incoming DNSTap streams
   - [x] [Read from UNIX DNSTap socket and forward it to TLS stream](./_examples/use-case-5.yml)

docs/loggers/logger_kafka.md

@@ -60,13 +60,14 @@ Options:
   > output text format, please refer to the default text format to see all available [directives](../configuration.md#custom-text-format), use this parameter if you want a specific format
 
 * `buffer-size` (integer)
-  > Specifies the size of the buffer for DNS messages before they are sent to Kafka.
+  > Specifies the size of the bulk for DNS messages before they are sent to Kafka.
 
 * `topic` (integer)
   > Specifies the Kafka topic to which messages will be forwarded.
 
 * `partition` (integer)
   > Specifies the Kafka partition to which messages will be sent.
+  > If partition parameter is null, then use `round-robin` partitioner for kafka (default behavior)
 
 * `chan-buffer-size` (int)
   > Specifies the maximum number of packets that can be buffered before discard additional packets.
@@ -95,7 +96,7 @@ kafkaproducer:
   text-format: ""
   buffer-size: 100
   topic: "dnscollector"
-  partition: 0
+  partition: null
   chan-buffer-size: 0
   compression: none
 ```

pkgconfig/loggers.go

@@ -292,7 +292,7 @@ type ConfigLoggers struct {
 		FlushInterval     int    `yaml:"flush-interval" default:"10"`
 		ConnectTimeout    int    `yaml:"connect-timeout" default:"5"`
 		Topic             string `yaml:"topic" default:"dnscollector"`
-		Partition         int    `yaml:"partition" default:"0"`
+		Partition         *int   `yaml:"partition" default:"nil"`
 		ChannelBufferSize int    `yaml:"chan-buffer-size" default:"0"`
 		Compression       string `yaml:"compression" default:"none"`
 	} `yaml:"kafkaproducer"`

workers/kafkaproducer.go

@@ -22,20 +22,23 @@ import (
 type KafkaProducer struct {
 	*GenericWorker
 	textFormat                 []string
-	kafkaConn                  *kafka.Conn
 	kafkaReady, kafkaReconnect chan bool
 	kafkaConnected             bool
 	compressCodec              compress.Codec
+	kafkaConns                 map[int]*kafka.Conn // Map to store connections by partition
 }
 
 func NewKafkaProducer(config *pkgconfig.Config, logger *logger.Logger, name string) *KafkaProducer {
 	bufSize := config.Global.Worker.ChannelBufferSize
 	if config.Loggers.KafkaProducer.ChannelBufferSize > 0 {
 		bufSize = config.Loggers.KafkaProducer.ChannelBufferSize
 	}
-	w := &KafkaProducer{GenericWorker: NewGenericWorker(config, logger, name, "kafka", bufSize, pkgconfig.DefaultMonitor)}
-	w.kafkaReady = make(chan bool)
-	w.kafkaReconnect = make(chan bool)
+	w := &KafkaProducer{
+		GenericWorker:  NewGenericWorker(config, logger, name, "kafka", bufSize, pkgconfig.DefaultMonitor),
+		kafkaReady:     make(chan bool),
+		kafkaReconnect: make(chan bool),
+		kafkaConns:     make(map[int]*kafka.Conn),
+	}
 	w.ReadConfig()
 	return w
 }
@@ -66,26 +69,33 @@ func (w *KafkaProducer) ReadConfig() {
 }
 
 func (w *KafkaProducer) Disconnect() {
-	if w.kafkaConn != nil {
-		w.LogInfo("closing  connection")
-		w.kafkaConn.Close()
+	// Close all Kafka connections
+	for _, conn := range w.kafkaConns {
+		if conn != nil {
+			w.LogInfo("closing connection per partition")
+			conn.Close()
+		}
 	}
+	w.kafkaConns = make(map[int]*kafka.Conn) // Clear the map
 }
 
 func (w *KafkaProducer) ConnectToKafka(ctx context.Context, readyTimer *time.Timer) {
 	for {
 		readyTimer.Reset(time.Duration(10) * time.Second)
 
-		if w.kafkaConn != nil {
-			w.kafkaConn.Close()
-			w.kafkaConn = nil
+		if len(w.kafkaConns) > 0 {
+			w.Disconnect()
 		}
 
 		topic := w.GetConfig().Loggers.KafkaProducer.Topic
 		partition := w.GetConfig().Loggers.KafkaProducer.Partition
 		address := w.GetConfig().Loggers.KafkaProducer.RemoteAddress + ":" + strconv.Itoa(w.GetConfig().Loggers.KafkaProducer.RemotePort)
 
-		w.LogInfo("connecting to kafka=%s partition=%d topic=%s", address, partition, topic)
+		if partition == nil {
+			w.LogInfo("connecting to kafka=%s partition=all topic=%s", address, topic)
+		} else {
+			w.LogInfo("connecting to kafka=%s partition=%d topic=%s", address, *partition, topic)
+		}
 
 		dialer := &kafka.Dialer{
 			Timeout:   time.Duration(w.GetConfig().Loggers.KafkaProducer.ConnectTimeout) * time.Second,
@@ -133,16 +143,39 @@ func (w *KafkaProducer) ConnectToKafka(ctx context.Context, readyTimer *time.Tim
 
 		}
 
-		// connect
-		conn, err := dialer.DialLeader(ctx, "tcp", address, topic, partition)
-		if err != nil {
-			w.LogError("%s", err)
-			w.LogInfo("retry to connect in %d seconds", w.GetConfig().Loggers.KafkaProducer.RetryInterval)
-			time.Sleep(time.Duration(w.GetConfig().Loggers.KafkaProducer.RetryInterval) * time.Second)
-			continue
-		}
+		var conn *kafka.Conn
+		var err error
 
-		w.kafkaConn = conn
+		if partition == nil {
+			// Lookup partitions and create connections for each
+			partitions, err := dialer.LookupPartitions(ctx, "tcp", address, topic)
+			if err != nil {
+				w.LogError("failed to lookup partitions:", err)
+				w.LogInfo("retry to connect in %d seconds", w.GetConfig().Loggers.KafkaProducer.RetryInterval)
+				time.Sleep(time.Duration(w.GetConfig().Loggers.KafkaProducer.RetryInterval) * time.Second)
+				continue
+			}
+			for _, p := range partitions {
+				conn, err = dialer.DialLeader(ctx, "tcp", address, p.Topic, p.ID)
+				if err != nil {
+					w.LogError("failed to dial leader for partition %d: %s", p.ID, err)
+					w.LogInfo("retry to connect in %d seconds", w.GetConfig().Loggers.KafkaProducer.RetryInterval)
+					time.Sleep(time.Duration(w.GetConfig().Loggers.KafkaProducer.RetryInterval) * time.Second)
+					continue
+				}
+				w.kafkaConns[p.ID] = conn
+			}
+		} else {
+			// DialLeader directly for a specific partition
+			conn, err = dialer.DialLeader(ctx, "tcp", address, topic, *partition)
+			if err != nil {
+				w.LogError("failed to dial leader for partition %d and topic %s: %s", *partition, topic, err)
+				w.LogInfo("retry to connect in %d seconds", w.GetConfig().Loggers.KafkaProducer.RetryInterval)
+				time.Sleep(time.Duration(w.GetConfig().Loggers.KafkaProducer.RetryInterval) * time.Second)
+				continue
+			}
+			w.kafkaConns[*partition] = conn
+		}
 
 		// block until is ready
 		w.kafkaReady <- true
@@ -154,6 +187,7 @@ func (w *KafkaProducer) FlushBuffer(buf *[]dnsutils.DNSMessage) {
 	msgs := []kafka.Message{}
 	buffer := new(bytes.Buffer)
 	strDm := ""
+	partition := w.GetConfig().Loggers.KafkaProducer.Partition
 
 	for _, dm := range *buf {
 		switch w.GetConfig().Loggers.KafkaProducer.Mode {
@@ -181,18 +215,40 @@ func (w *KafkaProducer) FlushBuffer(buf *[]dnsutils.DNSMessage) {
 
 	}
 
-	// add support for msg compression
+	// add support for msg compression and round robin
 	var err error
-	if w.GetConfig().Loggers.KafkaProducer.Compression == pkgconfig.CompressNone {
-		_, err = w.kafkaConn.WriteMessages(msgs...)
-	} else {
-		_, err = w.kafkaConn.WriteCompressedMessages(w.compressCodec, msgs...)
-	}
+	if partition == nil {
+		index := 0
+		numPartitions := len(w.kafkaConns)
+		for _, msg := range msgs {
+			conn := w.kafkaConns[index]
+			if w.GetConfig().Loggers.KafkaProducer.Compression == pkgconfig.CompressNone {
+				_, err = conn.WriteMessages(msg)
+			} else {
+				_, err = conn.WriteCompressedMessages(w.compressCodec, msg)
+			}
+			if err != nil {
+				w.LogError("unable to write message", err.Error())
+				w.kafkaConnected = false
+				<-w.kafkaReconnect
+				break
+			}
 
-	if err != nil {
-		w.LogError("unable to write message", err.Error())
-		w.kafkaConnected = false
-		<-w.kafkaReconnect
+			// Move to the next partition in round-robin fashion
+			index = (index + 1) % numPartitions
+		}
+	} else {
+		conn := w.kafkaConns[*partition]
+		if w.GetConfig().Loggers.KafkaProducer.Compression == pkgconfig.CompressNone {
+			_, err = conn.WriteMessages(msgs...)
+		} else {
+			_, err = conn.WriteCompressedMessages(w.compressCodec, msgs...)
+		}
+		if err != nil {
+			w.LogError("unable to write message", err.Error())
+			w.kafkaConnected = false
+			<-w.kafkaReconnect
+		}
 	}
 
 	// reset buffer