object KafkaProducer

Source
KafkaProducer.scala
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Type Members

  1. abstract class Metrics[F[_], K, V] extends KafkaProducer[F, K, V]

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

  2. implicit final class ProducerOps[F[_], K, V] extends AnyVal

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  3. final def ==(arg0: Any): Boolean
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  4. def apply[F[_]]: ProducerPartiallyApplied[F]
  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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  9. def finalize(): Unit
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  10. final def getClass(): Class[_ <: AnyRef]
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  11. def hashCode(): Int
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  12. final def isInstanceOf[T0]: Boolean
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  13. final def ne(arg0: AnyRef): Boolean
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  14. final def notify(): Unit
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  15. final def notifyAll(): Unit
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  16. def pipe[F[_], K, V, P](settings: ProducerSettings[F, K, V], producer: KafkaProducer[F, K, V])(implicit arg0: Concurrent[F]): Pipe[F, ProducerRecords[P, K, V], ProducerResult[P, K, V]]

    Produces records in batches using the provided KafkaProducer.

    Produces records in batches using the provided KafkaProducer. The number of records in the same batch is limited using the ProducerSettings#parallelism setting.

  17. def pipe[F[_], K, V, P](settings: ProducerSettings[F, K, V])(implicit F: Async[F], mk: MkProducer[F]): Pipe[F, ProducerRecords[P, K, V], ProducerResult[P, K, V]]

    Creates a KafkaProducer using the provided settings and produces record in batches, limiting the number of records in the same batch using ProducerSettings#parallelism.

  18. def resource[F[_], K, V](settings: ProducerSettings[F, K, V])(implicit F: Async[F], mk: MkProducer[F]): Resource[F, Metrics[F, K, V]]

    Creates a new KafkaProducer in the Resource context, using the specified ProducerSettings.

    Creates a new KafkaProducer in the Resource context, using the specified ProducerSettings. Note that there is another version where F[_] is specified explicitly and the key and value type can be inferred, which allows you to use the following syntax.

    KafkaProducer.resource[F].using(settings)
  19. def stream[F[_], K, V](settings: ProducerSettings[F, K, V])(implicit F: Async[F], mk: MkProducer[F]): Stream[F, Metrics[F, K, V]]

    Creates a new KafkaProducer in the Stream context, using the specified ProducerSettings.

    Creates a new KafkaProducer in the Stream context, using the specified ProducerSettings. Note that there is another version where F[_] is specified explicitly and the key and value type can be inferred, which allows you to use the following syntax.

    KafkaProducer.stream[F].using(settings)
  20. final def synchronized[T0](arg0: => T0): T0
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  21. def toString(): String
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  22. final def wait(): Unit
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  23. final def wait(arg0: Long, arg1: Int): Unit
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  24. final def wait(arg0: Long): Unit
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