vertx-lang-scala-docs_2.12 3.9.1 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
- KafkaHeader
- 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

1. Alphabetic
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
     @native() @throws( ... )
7.  def close(timeout: Long, completionHandler: Handler[AsyncResult[Unit]]): Unit

   Close the producer * @param timeout timeout to wait for closing

   Close the producer * @param timeout timeout to wait for closing

   completionHandler

     handler called on operation completed

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

   Close the producer * @param 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`. * @param handler the handler

    returns

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

    Definition Classes
      KafkaProducer → WriteStream
13.  def end(arg0: Handler[AsyncResult[Unit]]): Unit

    Same as io.vertx.scala.core.streams.WriteStream#end but with an `handler` called when the operation completes

    Same as io.vertx.scala.core.streams.WriteStream#end but with an `handler` called when the operation completes

    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.  def end(data: KafkaProducerRecord[K, V], handler: Handler[AsyncResult[Unit]]): Unit

    Same as but with an `handler` called when the operation completes

    Same as but with an `handler` called when the operation completes

    Definition Classes
      KafkaProducer → WriteStream
16.  def end(data: 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. * @param data the data to write

    Definition Classes
      KafkaProducer → WriteStream
17.  def endFuture(data: KafkaProducerRecord[K, V]): Future[Unit]

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

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

    Definition Classes
      KafkaProducer → WriteStream
18.  def endFuture(): Future[Unit]

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

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

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

    Set an exception handler on the write stream.

    Set an exception handler on the write stream. * @param handler the exception handler

    returns

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

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

    Invoking this method makes all buffered records immediately available to write * @param completionHandler handler called on operation completed

    Invoking this method makes all buffered records immediately available to write * @param completionHandler handler called on operation completed

    returns

      current KafkaProducer instance

24.  final def getClass(): Class[_]
    Definition Classes
      AnyRef → Any
    Annotations
      @native()
25.  def hashCode(): Int
    Definition Classes
      AnyRef → Any
    Annotations
      @native()
26.  final def isInstanceOf[T0]: Boolean
    Definition Classes
      Any
27.  final def ne(arg0: AnyRef): Boolean
    Definition Classes
      AnyRef
28.  final def notify(): Unit
    Definition Classes
      AnyRef
    Annotations
      @native()
29.  final def notifyAll(): Unit
    Definition Classes
      AnyRef
    Annotations
      @native()
30.  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. * @param topic topic partition for which getting partitions info

    handler

      handler called on operation completed

    returns

      current KafkaProducer instance

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

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

32.  def send(record: KafkaProducerRecord[K, V], handler: Handler[AsyncResult[RecordMetadata]]): KafkaProducer[K, V]

    Asynchronously write a record to a topic * @param record record to write

    Asynchronously write a record to a topic * @param record record to write

    handler

      handler called on operation completed

    returns

      current KafkaWriteStream instance

33.  def send(record: KafkaProducerRecord[K, V]): KafkaProducer[K, V]

    Asynchronously write a record to a topic * @param record record to write

    Asynchronously write a record to a topic * @param record record to write

    returns

      current KafkaWriteStream instance

34.  def sendFuture(record: KafkaProducerRecord[K, V]): Future[RecordMetadata]

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

35.  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... * @param maxSize the max size of the write stream

    returns

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

    Definition Classes
      KafkaProducer → WriteStream
36.  final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
      AnyRef
37.  def toString(): String
    Definition Classes
      AnyRef → Any
38.  final def wait(): Unit
    Definition Classes
      AnyRef
    Annotations
      @throws( ... )
39.  final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
      AnyRef
    Annotations
      @throws( ... )
40.  final def wait(arg0: Long): Unit
    Definition Classes
      AnyRef
    Annotations
      @native() @throws( ... )
41.  def write(data: KafkaProducerRecord[K, V], handler: Handler[AsyncResult[Unit]]): KafkaProducer[K, V]

    Same as but with an `handler` called when the operation completes

    Same as but with an `handler` called when the operation completes

    Definition Classes
      KafkaProducer → WriteStream
42.  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. * @param data the data to write

    returns

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

    Definition Classes
      KafkaProducer → WriteStream
43.  def writeFuture(data: KafkaProducerRecord[K, V]): Future[Unit]

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

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

    Definition Classes
      KafkaProducer → WriteStream
44.  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 * @return true if write queue is full

    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 * @return 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