org.apache.spark.streaming

Class StateSpec<KeyType,ValueType,StateType,MappedType>

java.lang.Object

org.apache.spark.streaming.StateSpec<KeyType,ValueType,StateType,MappedType>

All Implemented Interfaces:

java.io.Serializable

public abstract class StateSpec<KeyType,ValueType,StateType,MappedType>
extends java.lang.Object
implements scala.Serializable

:: Experimental :: Abstract class representing all the specifications of the DStream transformation mapWithState operation of a pair DStream (Scala) or a JavaPairDStream (Java). Use 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));
 

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
StateSpec()

Method Summary

Methods

Modifier and Type	Method and Description
static <KeyType,ValueType,StateType,MappedType> StateSpec<KeyType,ValueType,StateType,MappedType>	function(scala.Function3<KeyType,scala.Option<ValueType>,State<StateType>,MappedType> mappingFunction) Create a StateSpec for setting all the specifications of the mapWithState operation on a pair DStream.
static <KeyType,ValueType,StateType,MappedType> StateSpec<KeyType,ValueType,StateType,MappedType>	function(Function3<KeyType,Optional<ValueType>,State<StateType>,MappedType> mappingFunction) Create a StateSpec for setting all the specifications of the mapWithState operation on a JavaPairDStream.
static <KeyType,ValueType,StateType,MappedType> StateSpec<KeyType,ValueType,StateType,MappedType>	function(scala.Function4<Time,KeyType,scala.Option<ValueType>,State<StateType>,scala.Option<MappedType>> mappingFunction) Create a StateSpec for setting all the specifications of the mapWithState operation on a pair DStream.
static <KeyType,ValueType,StateType,MappedType> StateSpec<KeyType,ValueType,StateType,MappedType>	function(Function4<Time,KeyType,Optional<ValueType>,State<StateType>,Optional<MappedType>> mappingFunction) Create a StateSpec for setting all the specifications of the mapWithState operation on a JavaPairDStream.
abstract StateSpec<KeyType,ValueType,StateType,MappedType>	initialState(JavaPairRDD<KeyType,StateType> javaPairRDD) Set the RDD containing the initial states that will be used by `mapWithState`
abstract StateSpec<KeyType,ValueType,StateType,MappedType>	initialState(RDD<scala.Tuple2<KeyType,StateType>> rdd) Set the RDD containing the initial states that will be used by `mapWithState`
abstract StateSpec<KeyType,ValueType,StateType,MappedType>	numPartitions(int numPartitions) Set the number of partitions by which the state RDDs generated by mapWithState will be partitioned.
abstract StateSpec<KeyType,ValueType,StateType,MappedType>	partitioner(Partitioner partitioner) Set the partitioner by which the state RDDs generated by mapWithState will be partitioned.
abstract StateSpec<KeyType,ValueType,StateType,MappedType>	timeout(Duration idleDuration) Set the duration after which the state of an idle key will be removed.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

StateSpec

public StateSpec()

Method Detail

function

public static <KeyType,ValueType,StateType,MappedType> StateSpec<KeyType,ValueType,StateType,MappedType> function(scala.Function4<Time,KeyType,scala.Option<ValueType>,State<StateType>,scala.Option<MappedType>> mappingFunction)

Create a StateSpec for setting all the specifications of the mapWithState operation on a pair DStream.

Parameters:

mappingFunction - The function applied on every data item to manage the associated state and generate the mapped data

Returns:

(undocumented)

function

public static <KeyType,ValueType,StateType,MappedType> StateSpec<KeyType,ValueType,StateType,MappedType> function(scala.Function3<KeyType,scala.Option<ValueType>,State<StateType>,MappedType> mappingFunction)

Create a StateSpec for setting all the specifications of the mapWithState operation on a pair DStream.

Parameters:

mappingFunction - The function applied on every data item to manage the associated state and generate the mapped data

Returns:

(undocumented)

function

public static <KeyType,ValueType,StateType,MappedType> StateSpec<KeyType,ValueType,StateType,MappedType> function(Function4<Time,KeyType,Optional<ValueType>,State<StateType>,Optional<MappedType>> mappingFunction)

Create a StateSpec for setting all the specifications of the mapWithState operation on a JavaPairDStream.

Parameters:

mappingFunction - The function applied on every data item to manage the associated state and generate the mapped data

Returns:

(undocumented)

function

public static <KeyType,ValueType,StateType,MappedType> StateSpec<KeyType,ValueType,StateType,MappedType> function(Function3<KeyType,Optional<ValueType>,State<StateType>,MappedType> mappingFunction)

Create a StateSpec for setting all the specifications of the mapWithState operation on a JavaPairDStream.

Parameters:

mappingFunction - The function applied on every data item to manage the associated state and generate the mapped data

Returns:

(undocumented)

initialState

public abstract StateSpec<KeyType,ValueType,StateType,MappedType> initialState(RDD<scala.Tuple2<KeyType,StateType>> rdd)

Set the RDD containing the initial states that will be used by `mapWithState`

initialState

public abstract StateSpec<KeyType,ValueType,StateType,MappedType> initialState(JavaPairRDD<KeyType,StateType> javaPairRDD)

Set the RDD containing the initial states that will be used by `mapWithState`

numPartitions

public abstract StateSpec<KeyType,ValueType,StateType,MappedType> numPartitions(int numPartitions)

Set the number of partitions by which the state RDDs generated by mapWithState will be partitioned. Hash partitioning will be used.

Parameters:

numPartitions - (undocumented)

Returns:

(undocumented)

partitioner

public abstract StateSpec<KeyType,ValueType,StateType,MappedType> partitioner(Partitioner partitioner)

Set the partitioner by which the state RDDs generated by mapWithState will be partitioned.

Parameters:

partitioner - (undocumented)

Returns:

(undocumented)

timeout

public abstract StateSpec<KeyType,ValueType,StateType,MappedType> timeout(Duration idleDuration)

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 true in that call.

Parameters:

idleDuration - (undocumented)

Returns:

(undocumented)