func (k *KafkaOutput) Run(or pipeline.OutputRunner, h pipeline.PluginHelper) (err error) {
defer func() {
k.producer.Close()
k.client.Close()
}()
if or.Encoder() == nil {
return errors.New("Encoder required.")
}
inChan := or.InChan()
useBuffering := or.UsesBuffering()
errChan := k.producer.Errors()
var wg sync.WaitGroup
wg.Add(1)
go k.processKafkaErrors(or, errChan, &wg)
var (
pack *pipeline.PipelinePack
topic = k.config.Topic
key sarama.Encoder
)
for pack = range inChan {
atomic.AddInt64(&k.processMessageCount, 1)
if k.topicVariable != nil {
topic = getMessageVariable(pack.Message, k.topicVariable)
}
if k.hashVariable != nil {
key = sarama.StringEncoder(getMessageVariable(pack.Message, k.hashVariable))
}
msgBytes, err := or.Encode(pack)
if err != nil {
atomic.AddInt64(&k.processMessageFailures, 1)
or.LogError(err)
// Don't retry encoding errors.
or.UpdateCursor(pack.QueueCursor)
pack.Recycle(nil)
continue
}
if msgBytes == nil {
atomic.AddInt64(&k.processMessageDiscards, 1)
or.UpdateCursor(pack.QueueCursor)
pack.Recycle(nil)
continue
}
err = k.producer.QueueMessage(topic, key, sarama.ByteEncoder(msgBytes))
if err != nil {
if !useBuffering {
atomic.AddInt64(&k.processMessageFailures, 1)
}
or.LogError(err)
}
pack.Recycle(err)
}
errChan <- Shutdown
wg.Wait()
return
}