org.apache.spark.streaming.receiver

ActorHelper

trait ActorHelper extends Logging

:: DeveloperApi :: A receiver trait to be mixed in with your Actor to gain access to the API for pushing received data into Spark Streaming for being processed.

Find more details at: http://spark.apache.org/docs/latest/streaming-custom-receivers.html

Self Type
ActorHelper with Actor
Annotations
@DeveloperApi()
Source
ActorReceiver.scala
Example: 

  1. class MyActor extends Actor with ActorHelper{
    def receive {
        case anything: String => store(anything)
    }
}

// Can be used with an actorStream as follows
ssc.actorStream[String](Props(new MyActor),"MyActorReceiver")
Note

Since Actor may exist outside the spark framework, It is thus user's responsibility to ensure the type safety, i.e parametrized type of push block and InputDStream should be same.

Linear Supertypes
Logging, AnyRef, Any
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. ActorHelper
  2. Logging
  3. AnyRef
  4. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  10. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  11. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  12. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  13. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  14. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  15. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

  16. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  17. def logDebug(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  18. def logError(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  19. def logError(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  20. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  21. def logInfo(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  22. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

  23. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  24. def logTrace(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  25. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Logging

  26. def logWarning(msg: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Logging

  27. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  28. final def notify(): Unit

    Definition Classes
    AnyRef

  29. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  30. def store[T](item: T): Unit

    Store a single item of received data to Spark's memory.

    Store a single item of received data to Spark's memory. These single items will be aggregated together into data blocks before being pushed into Spark's memory.

  31. def store(bytes: ByteBuffer): Unit

    Store the bytes of received data as a data block into Spark's memory.

    Store the bytes of received data as a data block into Spark's memory. Note that the data in the ByteBuffer must be serialized using the same serializer that Spark is configured to use.

  32. def store[T](iter: Iterator[T]): Unit

    Store an iterator of received data as a data block into Spark's memory.

  33. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef

  34. def toString(): String

    Definition Classes
    AnyRef → Any

  35. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  36. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  37. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Logging

Inherited from AnyRef

Inherited from Any

Ungrouped