Files
goreplay/input_kafka.go
Zapan GaoandGitHub abbd249c49 Adding support for specify input kafka offset for each partitions (#1242)
Adding a new flag `--input-kafka-offset` for supporting consumes from Kafka by specified offset.
2024-04-09 11:55:03 +03:00

184 lines
4.1 KiB
Go

package goreplay
import (
"encoding/json"
"log"
"strconv"
"strings"
"time"
"github.com/Shopify/sarama"
"github.com/Shopify/sarama/mocks"
)
// KafkaInput is used for receiving Kafka messages and
// transforming them into HTTP payloads.
type KafkaInput struct {
config *InputKafkaConfig
consumers []sarama.PartitionConsumer
messages chan *sarama.ConsumerMessage
speedFactor float64
quit chan struct{}
kafkaTimer *kafkaTimer
}
func getOffsetOfPartitions(offsetCfg string) int64 {
offset, err := strconv.ParseInt(offsetCfg, 10, 64)
if err != nil || offset < -2 {
log.Fatalln("Failed to parse offset: "+offsetCfg, err)
}
return offset
}
// NewKafkaInput creates instance of kafka consumer client with TLS config
func NewKafkaInput(offsetCfg string, config *InputKafkaConfig, tlsConfig *KafkaTLSConfig) *KafkaInput {
c := NewKafkaConfig(&config.SASLConfig, tlsConfig)
var con sarama.Consumer
if mock, ok := config.consumer.(*mocks.Consumer); ok && mock != nil {
con = config.consumer
} else {
var err error
con, err = sarama.NewConsumer(strings.Split(config.Host, ","), c)
if err != nil {
log.Fatalln("Failed to start Sarama(Kafka) consumer:", err)
}
}
partitions, err := con.Partitions(config.Topic)
if err != nil {
log.Fatalln("Failed to collect Sarama(Kafka) partitions:", err)
}
i := &KafkaInput{
config: config,
consumers: make([]sarama.PartitionConsumer, len(partitions)),
messages: make(chan *sarama.ConsumerMessage, 256),
speedFactor: 1,
quit: make(chan struct{}),
kafkaTimer: new(kafkaTimer),
}
i.config.Offset = offsetCfg
for index, partition := range partitions {
consumer, err := con.ConsumePartition(config.Topic, partition, getOffsetOfPartitions(offsetCfg))
if err != nil {
log.Fatalln("Failed to start Sarama(Kafka) partition consumer:", err)
}
go func(consumer sarama.PartitionConsumer) {
defer consumer.Close()
for message := range consumer.Messages() {
i.messages <- message
}
}(consumer)
go i.ErrorHandler(consumer)
i.consumers[index] = consumer
}
return i
}
// ErrorHandler should receive errors
func (i *KafkaInput) ErrorHandler(consumer sarama.PartitionConsumer) {
for err := range consumer.Errors() {
Debug(1, "Failed to read access log entry:", err)
}
}
// PluginRead a reads message from this plugin
func (i *KafkaInput) PluginRead() (*Message, error) {
var message *sarama.ConsumerMessage
var msg Message
select {
case <-i.quit:
return nil, ErrorStopped
case message = <-i.messages:
}
inputTs := ""
msg.Data = message.Value
if i.config.UseJSON {
var kafkaMessage KafkaMessage
json.Unmarshal(message.Value, &kafkaMessage)
inputTs = kafkaMessage.ReqTs
var err error
msg.Data, err = kafkaMessage.Dump()
if err != nil {
Debug(1, "[INPUT-KAFKA] failed to decode access log entry:", err)
return nil, err
}
}
// does it have meta
if isOriginPayload(msg.Data) {
msg.Meta, msg.Data = payloadMetaWithBody(msg.Data)
inputTs = string(payloadMeta(msg.Meta)[2])
}
i.timeWait(inputTs)
return &msg, nil
}
func (i *KafkaInput) String() string {
return "Kafka Input: " + i.config.Host + "/" + i.config.Topic
}
// Close closes this plugin
func (i *KafkaInput) Close() error {
close(i.quit)
return nil
}
func (i *KafkaInput) timeWait(curInputTs string) {
if i.config.Offset == "-1" || curInputTs == "" {
return
}
// implement for Kafka input showdown or speedup emitting
timer := i.kafkaTimer
curTs := time.Now().UnixNano()
curInput, err := strconv.ParseInt(curInputTs, 10, 64)
if timer.latestInputTs == 0 || timer.latestOutputTs == 0 {
timer.latestInputTs = curInput
timer.latestOutputTs = curTs
return
}
if err != nil {
log.Fatalln("Fatal to parse timestamp err: ", err)
}
diffTs := curInput - timer.latestInputTs
pastTs := curTs - timer.latestOutputTs
diff := diffTs - pastTs
if i.speedFactor != 1 {
diff = int64(float64(diff) / i.speedFactor)
}
if diff > 0 {
time.Sleep(time.Duration(diff))
}
timer.latestInputTs = curInput
timer.latestOutputTs = curTs
}
type kafkaTimer struct {
latestInputTs int64
latestOutputTs int64
}