sealed abstract class StateSpec[KeyType, ValueType, StateType, MappedType] extends Serializable
:: Experimental ::
Abstract class representing all the specifications of the DStream transformation
mapWithState operation of a
pair DStream (Scala) or a
JavaPairDStream (Java).
Use org.apache.spark.streaming.StateSpec.function() factory methods
to create instances of this class.
Example in Scala:
// A mapping function that maintains an integer state and return a String def mappingFunction(key: String, value: Option[Int], state: State[Int]): Option[String] = { // Use state.exists(), state.get(), state.update() and state.remove() // to manage state, and return the necessary string } val spec = StateSpec.function(mappingFunction).numPartitions(10) val mapWithStateDStream = keyValueDStream.mapWithState[StateType, MappedType](spec)
Example in Java:
// A mapping function that maintains an integer state and return a string Function3<String, Optional<Integer>, State<Integer>, String> mappingFunction = new Function3<String, Optional<Integer>, State<Integer>, String>() { @Override public Optional<String> call(Optional<Integer> value, State<Integer> state) { // Use state.exists(), state.get(), state.update() and state.remove() // to manage state, and return the necessary string } }; JavaMapWithStateDStream<String, Integer, Integer, String> mapWithStateDStream = keyValueDStream.mapWithState(StateSpec.function(mappingFunc));
- KeyType
- Class of the state key 
- ValueType
- Class of the state value 
- StateType
- Class of the state data 
- MappedType
- Class of the mapped elements 
- Annotations
- @Experimental()
- Source
- StateSpec.scala
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Abstract Value Members
-   abstract  def initialState(javaPairRDD: JavaPairRDD[KeyType, StateType]): StateSpec.this.typeSet the RDD containing the initial states that will be used by mapWithState
-   abstract  def initialState(rdd: RDD[(KeyType, StateType)]): StateSpec.this.typeSet the RDD containing the initial states that will be used by mapWithState
-   abstract  def numPartitions(numPartitions: Int): StateSpec.this.typeSet the number of partitions by which the state RDDs generated by mapWithStatewill be partitioned.Set the number of partitions by which the state RDDs generated by mapWithStatewill be partitioned. Hash partitioning will be used.
-   abstract  def partitioner(partitioner: Partitioner): StateSpec.this.typeSet the partitioner by which the state RDDs generated by mapWithStatewill be partitioned.
-   abstract  def timeout(idleDuration: Duration): StateSpec.this.typeSet the duration after which the state of an idle key will be removed. Set the duration after which the state of an idle key will be removed. A key and its state is considered idle if it has not received any data for at least the given duration. The mapping function will be called one final time on the idle states that are going to be removed; State.isTimingOut() set to truein that call.
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