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(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. * @param 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 * @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

20.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

21.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

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

    Annotations

    @native()

25.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

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. * @param 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... * @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

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

    @native() @throws( ... )

34.  def write(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

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. * @param data the data to write

    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 * @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