vertx-lang-scala-docs_2.12 3.4.0 API < Back
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# Packages

-  package root
  Definition Classes
    root
-  package io
  Definition Classes
    root
-  package vertx
  Definition Classes
    io
-  package scala
  Definition Classes
    vertx
-  package kafka
  Definition Classes
    scala
-  package client
  Definition Classes
    kafka
-  package producer
  Definition Classes
    client
- KafkaProducer
- KafkaProducerRecord
- RecordMetadata

c

io.vertx.scala.kafka.client.producer

# KafkaProducer 

###
Companion object KafkaProducer

#### class KafkaProducer[K, V] extends WriteStream[KafkaProducerRecord[K, V]]

Vert.x Kafka producer.

The provides global control over writing a record.

Linear Supertypes
WriteStream[KafkaProducerRecord[K, V]], StreamBase, AnyRef, Any
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Ordering

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2. By Inheritance

Inherited

1. KafkaProducer
2. WriteStream
3. StreamBase
4. AnyRef
5. Any

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Visibility

1. Public
2. All

### Instance Constructors

1.  new KafkaProducer(_asJava: AnyRef)(implicit arg0: scala.reflect.api.JavaUniverse.TypeTag[K], arg1: scala.reflect.api.JavaUniverse.TypeTag[V])

### Value Members

1.  final def !=(arg0: Any): Boolean
   Definition Classes
     AnyRef → Any
2.  final def ##(): Int
   Definition Classes
     AnyRef → Any
3.  final def ==(arg0: Any): Boolean
   Definition Classes
     AnyRef → Any
4.  final def asInstanceOf[T0]: T0
   Definition Classes
     Any
5.  def asJava: AnyRef
   Definition Classes
     KafkaProducer → WriteStream → StreamBase
6.  def clone(): AnyRef
   Attributes
     protected[java.lang]
   Definition Classes
     AnyRef
   Annotations
     @throws( ... )
7.  def close(timeout: Long, completionHandler: Handler[AsyncResult[Unit]]): Unit

   Close the producer

   Close the producer

   timeout

     timeout to wait for closing

   completionHandler

     handler called on operation completed

8.  def close(completionHandler: Handler[AsyncResult[Unit]]): Unit

   Close the producer

   Close the producer

   completionHandler

     handler called on operation completed

9.  def close(): Unit

   Close the producer

10.  def closeFuture(timeout: Long): Future[Unit]

    Like close but returns a scala.concurrent.Future instead of taking an AsyncResultHandler.

11.  def closeFuture(): Future[Unit]

    Like close but returns a scala.concurrent.Future instead of taking an AsyncResultHandler.

12.  def drainHandler(handler: Handler[Unit]): KafkaProducer[K, V]

    Set a drain handler on the stream.

    Set a drain handler on the stream. If the write queue is full, then the handler will be called when the write queue is ready to accept buffers again. See io.vertx.scala.core.streams.Pump for an example of this being used.

    The stream implementation defines when the drain handler, for example it could be when the queue size has been reduced to `maxSize / 2`.

    handler

      the handler

    returns

      a reference to this, so the API can be used fluently

    Definition Classes
      KafkaProducer → WriteStream
13.  def end(kafkaProducerRecord: KafkaProducerRecord[K, V]): Unit

    Same as io.vertx.scala.core.streams.WriteStream#end but writes some data to the stream before ending.

    Same as io.vertx.scala.core.streams.WriteStream#end but writes some data to the stream before ending.

    Definition Classes
      KafkaProducer → WriteStream
14.  def end(): Unit

    Ends the stream.

    Ends the stream.

    Once the stream has ended, it cannot be used any more.

    Definition Classes
      KafkaProducer → WriteStream
15.  final def eq(arg0: AnyRef): Boolean
    Definition Classes
      AnyRef
16.  def equals(arg0: Any): Boolean
    Definition Classes
      AnyRef → Any
17.  def exceptionHandler(handler: Handler[Throwable]): KafkaProducer[K, V]

    Set an exception handler on the write stream.

    Set an exception handler on the write stream.

    handler

      the exception handler

    returns

      a reference to this, so the API can be used fluently

    Definition Classes
      KafkaProducer → WriteStream → StreamBase
18.  def finalize(): Unit
    Attributes
      protected[java.lang]
    Definition Classes
      AnyRef
    Annotations
      @throws( classOf[java.lang.Throwable] )
19.  def flush(completionHandler: Handler[Unit]): KafkaProducer[K, V]

    Invoking this method makes all buffered records immediately available to write

    Invoking this method makes all buffered records immediately available to write

    completionHandler

      handler called on operation completed

    returns

      current KafkaProducer instance

20.  final def getClass(): Class[_]
    Definition Classes
      AnyRef → Any
21.  def hashCode(): Int
    Definition Classes
      AnyRef → Any
22.  final def isInstanceOf[T0]: Boolean
    Definition Classes
      Any
23.  final def ne(arg0: AnyRef): Boolean
    Definition Classes
      AnyRef
24.  final def notify(): Unit
    Definition Classes
      AnyRef
25.  final def notifyAll(): Unit
    Definition Classes
      AnyRef
26.  def partitionsFor(topic: String, handler: Handler[AsyncResult[Buffer[PartitionInfo]]]): KafkaProducer[K, V]

    Get the partition metadata for the give topic.

    Get the partition metadata for the give topic.

    topic

      topic partition for which getting partitions info

    handler

      handler called on operation completed

    returns

      current KafkaProducer instance

27.  def partitionsForFuture(topic: String): Future[Buffer[PartitionInfo]]

    Like partitionsFor but returns a scala.concurrent.Future instead of taking an AsyncResultHandler.

28.  def setWriteQueueMaxSize(i: Int): KafkaProducer[K, V]

    Set the maximum size of the write queue to `maxSize`.

    Set the maximum size of the write queue to `maxSize`. You will still be able to write to the stream even if there is more than `maxSize` items in the write queue. This is used as an indicator by classes such as `Pump` to provide flow control.

    The value is defined by the implementation of the stream, e.g in bytes for a io.vertx.scala.core.net.NetSocket, the number of io.vertx.scala.core.eventbus.Message for a io.vertx.scala.core.eventbus.MessageProducer, etc...

    returns

      a reference to this, so the API can be used fluently

    Definition Classes
      KafkaProducer → WriteStream
29.  final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
      AnyRef
30.  def toString(): String
    Definition Classes
      AnyRef → Any
31.  final def wait(): Unit
    Definition Classes
      AnyRef
    Annotations
      @throws( ... )
32.  final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
      AnyRef
    Annotations
      @throws( ... )
33.  final def wait(arg0: Long): Unit
    Definition Classes
      AnyRef
    Annotations
      @throws( ... )
34.  def write(record: KafkaProducerRecord[K, V], handler: Handler[AsyncResult[RecordMetadata]]): KafkaProducer[K, V]

    Asynchronously write a record to a topic

    Asynchronously write a record to a topic

    record

      record to write

    handler

      handler called on operation completed

    returns

      current KafkaWriteStream instance

35.  def write(kafkaProducerRecord: KafkaProducerRecord[K, V]): KafkaProducer[K, V]

    Write some data to the stream.

    Write some data to the stream. The data is put on an internal write queue, and the write actually happens asynchronously. To avoid running out of memory by putting too much on the write queue, check the io.vertx.scala.core.streams.WriteStream#writeQueueFull method before writing. This is done automatically if using a io.vertx.scala.core.streams.Pump.

    returns

      a reference to this, so the API can be used fluently

    Definition Classes
      KafkaProducer → WriteStream
36.  def writeFuture(record: KafkaProducerRecord[K, V]): Future[RecordMetadata]

    Like write but returns a scala.concurrent.Future instead of taking an AsyncResultHandler.

37.  def writeQueueFull(): Boolean

    This will return `true` if there are more bytes in the write queue than the value set using io.vertx.scala.core.streams.WriteStream#setWriteQueueMaxSize

    This will return `true` if there are more bytes in the write queue than the value set using io.vertx.scala.core.streams.WriteStream#setWriteQueueMaxSize

    returns

      true if write queue is full

    Definition Classes
      KafkaProducer → WriteStream

### Inherited from WriteStream[KafkaProducerRecord[K, V]]

### Inherited from StreamBase

### Inherited from AnyRef

### Inherited from Any

### Ungrouped