Metrics

fs2.kafka.KafkaProducer$.Metrics
abstract class Metrics[F[_], K, V] extends KafkaProducer[F, K, V]

KafkaProducer.Metrics extends KafkaProducer to provide access to the underlying producer metrics.

Attributes

Source:
KafkaProducer.scala
Graph
Supertypes
class KafkaProducer[F, K, V]
class Object
trait Matchable
class Any
Known subtypes
class PartitionsFor[F, K, V]

Members list

Concise view

Value members

Abstract methods

def metrics: F[Map[MetricName, Metric]]

Returns producer metrics.

Returns producer metrics.

Attributes

See also:

org.apache.kafka.clients.producer.KafkaProducer#metrics

Source:
KafkaProducer.scala

Inherited methods

def produce[P](records: ProducerRecords[P, K, V]): F[F[ProducerResult[P, K, V]]]

Produces the specified ProducerRecords in two steps: the first effect puts the records in the buffer of the producer, and the second effect waits for the records to send.

Produces the specified ProducerRecords in two steps: the first effect puts the records in the buffer of the producer, and the second effect waits for the records to send.

It's possible to flatten the result from this function to have an effect which both sends the records and waits for them to finish sending.

Waiting for individual records to send can substantially limit performance. In some cases, this is necessary, and so we might want to consider the following alternatives.

  • Wait for the produced records in batches, improving the rate at which records are produced, but loosing the guarantee where produce >> otherAction means otherAction executes after the record has been sent.
  • Run several produce.flatten >> otherAction concurrently, improving the rate at which records are produced, and still have otherAction execute after records have been sent, but losing the order of produced records.

Attributes

Inherited from:
KafkaProducer
Source:
KafkaProducer.scala