Package org.apache.storm.trident

# Class Stream

java.lang.Object
org.apache.storm.trident.Stream

All Implemented Interfaces:
  `ResourceDeclarer<Stream>`, `IAggregatableStream`

public class Stream extends Object implements IAggregatableStream, ResourceDeclarer<Stream>
A Stream represents the core data model in Trident, and can be thought of as a "stream" of tuples that are processed as a series of small batches. A stream is partitioned accross the nodes in the cluster, and operations are applied to a stream in parallel accross each partition.

There are five types of operations that can be performed on streams in Trident

1. **Partiton-Local Operations** - Operations that are applied locally to each partition and do not involve network transfer 2. **Repartitioning Operations** - Operations that change how tuples are partitioned across tasks(thus causing network transfer), but do not change the content of the stream. 3. **Aggregation Operations** - Operations that *may* repartition a stream (thus causing network transfer) 4. **Grouping Operations** - Operations that may repartition a stream on specific fields and group together tuples whose fields values are equal. 5. **Merge and Join Operations** - Operations that combine different streams together.

- ## Constructor Summary

  Constructors
  Modifier
  Constructor
  Description
  `protected`
  `Stream(TridentTopology topology, String name, Node node)`

- ## Method Summary

  Modifier and Type
  Method
  Description
  `Stream`
  `addSharedMemory(SharedMemory request)`
  Add in request for shared memory that this component will use.
  `Stream`
  `aggregate(Aggregator agg, Fields functionFields)`
  `Stream`
  `aggregate(CombinerAggregator agg, Fields functionFields)`
  `Stream`
  `aggregate(ReducerAggregator agg, Fields functionFields)`
  `Stream`
  `aggregate(Fields inputFields, Aggregator agg, Fields functionFields)`
  `Stream`
  `aggregate(Fields inputFields, CombinerAggregator agg, Fields functionFields)`
  `Stream`
  `aggregate(Fields inputFields, ReducerAggregator agg, Fields functionFields)`
  `Stream`
  `applyAssembly(Assembly assembly)`
  Applies an `Assembly` to this `Stream`.
  `Stream`
  `batchGlobal()`
  ## Repartitioning Operation.
  `Stream`
  `broadcast()`
  ## Repartitioning Operation.
  `ChainedAggregatorDeclarer`
  `chainedAgg()`
  `Stream`
  `each(Function function, Fields functionFields)`
  `Stream`
  `each(Fields inputFields, Filter filter)`
  `Stream`
  `each(Fields inputFields, Function function, Fields functionFields)`
  `Stream`
  `filter(Filter filter)`
  Returns a stream consisting of the elements of this stream that match the given filter.
  `Stream`
  `filter(Fields inputFields, Filter filter)`
  Returns a stream consisting of the elements of this stream that match the given filter.
  `Stream`
  `flatMap(FlatMapFunction function)`
  Returns a stream consisting of the results of replacing each value of this stream with the contents produced by applying the provided mapping function to each value.
  `Stream`
  `flatMap(FlatMapFunction function, Fields outputFields)`
  Returns a stream consisting of the results of replacing each value of this stream with the contents produced by applying the provided mapping function to each value.
  `String`
  `getName()`
  Returns the label applied to the stream.
  `Fields`
  `getOutputFields()`
  `Stream`
  `global()`
  ## Repartitioning Operation.
  `GroupedStream`
  `groupBy(Fields fields)`
  ## Grouping Operation.
  `Stream`
  `identityPartition()`
  ## Repartitioning Operation.
  `Stream`
  `localOrShuffle()`
  ## Repartitioning Operation.
  `Stream`
  `map(MapFunction function)`
  Returns a stream consisting of the result of applying the given mapping function to the values of this stream.
  `Stream`
  `map(MapFunction function, Fields outputFields)`
  Returns a stream consisting of the result of applying the given mapping function to the values of this stream.
  `Stream`
  `max(Comparator<TridentTuple> comparator)`
  This aggregator operation computes the maximum of tuples in a stream by using the given `comparator` with `TridentTuple`s.
  `Stream`
  `maxBy(String inputFieldName)`
  This aggregator operation computes the maximum of tuples by the given `inputFieldName` and it is assumed that its value is an instance of `Comparable`.
  `<T> Stream`
  `maxBy(String inputFieldName, Comparator<T> comparator)`
  This aggregator operation computes the maximum of tuples by the given `inputFieldName` in a stream by using the given `comparator`.
  `Stream`
  `min(Comparator<TridentTuple> comparator)`
  This aggregator operation computes the minimum of tuples in a stream by using the given `comparator` with `TridentTuple`s.
  `Stream`
  `minBy(String inputFieldName)`
  This aggregator operation computes the minimum of tuples by the given `inputFieldName` and it is assumed that its value is an instance of `Comparable`.
  `<T> Stream`
  `minBy(String inputFieldName, Comparator<T> comparator)`
  This aggregator operation computes the minimum of tuples by the given `inputFieldName` in a stream by using the given `comparator`.
  `Stream`
  `name(String name)`
  Applies a label to the stream.
  `Stream`
  `parallelismHint(int hint)`
  Applies a parallelism hint to a stream.
  `Stream`
  `partition(Grouping grouping)`
  ## Repartitioning Operation.
  `Stream`
  `partition(CustomStreamGrouping partitioner)`
  ## Repartitioning Operation.
  `Stream`
  `partitionAggregate(Aggregator agg, Fields functionFields)`
  `Stream`
  `partitionAggregate(CombinerAggregator agg, Fields functionFields)`
  `Stream`
  `partitionAggregate(ReducerAggregator agg, Fields functionFields)`
  `Stream`
  `partitionAggregate(Fields inputFields, Aggregator agg, Fields functionFields)`
  `Stream`
  `partitionAggregate(Fields inputFields, CombinerAggregator agg, Fields functionFields)`
  `Stream`
  `partitionAggregate(Fields inputFields, ReducerAggregator agg, Fields functionFields)`
  `Stream`
  `partitionBy(Fields fields)`
  ## Repartitioning Operation.
  `TridentState`
  `partitionPersist(StateFactory stateFactory, StateUpdater updater)`
  `TridentState`
  `partitionPersist(StateFactory stateFactory, StateUpdater updater, Fields functionFields)`
  `TridentState`
  `partitionPersist(StateFactory stateFactory, Fields inputFields, StateUpdater updater)`
  `TridentState`
  `partitionPersist(StateFactory stateFactory, Fields inputFields, StateUpdater updater, Fields functionFields)`
  `TridentState`
  `partitionPersist(StateSpec stateSpec, StateUpdater updater)`
  `TridentState`
  `partitionPersist(StateSpec stateSpec, StateUpdater updater, Fields functionFields)`
  `TridentState`
  `partitionPersist(StateSpec stateSpec, Fields inputFields, StateUpdater updater)`
  `TridentState`
  `partitionPersist(StateSpec stateSpec, Fields inputFields, StateUpdater updater, Fields functionFields)`
  `Stream`
  `peek(Consumer action)`
  Returns a stream consisting of the trident tuples of this stream, additionally performing the provided action on each trident tuple as they are consumed from the resulting stream.
  `TridentState`
  `persistentAggregate(StateFactory stateFactory, CombinerAggregator agg, Fields functionFields)`
  `TridentState`
  `persistentAggregate(StateFactory stateFactory, ReducerAggregator agg, Fields functionFields)`
  `TridentState`
  `persistentAggregate(StateFactory stateFactory, Fields inputFields, CombinerAggregator agg, Fields functionFields)`
  `TridentState`
  `persistentAggregate(StateFactory stateFactory, Fields inputFields, ReducerAggregator agg, Fields functionFields)`
  `TridentState`
  `persistentAggregate(StateSpec spec, CombinerAggregator agg, Fields functionFields)`
  `TridentState`
  `persistentAggregate(StateSpec spec, ReducerAggregator agg, Fields functionFields)`
  `TridentState`
  `persistentAggregate(StateSpec spec, Fields inputFields, CombinerAggregator agg, Fields functionFields)`
  `TridentState`
  `persistentAggregate(StateSpec spec, Fields inputFields, ReducerAggregator agg, Fields functionFields)`
  `Stream`
  `project(Fields keepFields)`
  Filters out fields from a stream, resulting in a Stream containing only the fields specified by `keepFields`.
  `Stream`
  `setCPULoad(Number load)`
  Sets the CPU Load resource for the current operation.
  `Stream`
  `setMemoryLoad(Number onHeap)`
  Sets the Memory Load resources for the current operation.
  `Stream`
  `setMemoryLoad(Number onHeap, Number offHeap)`
  Sets the Memory Load resources for the current operation.
  `Stream`
  `shuffle()`
  ## Repartitioning Operation.
  `Stream`
  `slidingWindow(int windowCount, int slideCount, WindowsStoreFactory windowStoreFactory, Fields inputFields, Aggregator aggregator, Fields functionFields)`
  Returns a stream of tuples which are aggregated results of a sliding window with every `windowCount` of tuples and slides the window after `slideCount`.
  `Stream`
  `slidingWindow(BaseWindowedBolt.Duration windowDuration, BaseWindowedBolt.Duration slidingInterval, WindowsStoreFactory windowStoreFactory, Fields inputFields, Aggregator aggregator, Fields functionFields)`
  Returns a stream of tuples which are aggregated results of a window which slides at duration of `slidingInterval` and completes a window at `windowDuration`.
  `Stream`
  `stateQuery(TridentState state, QueryFunction function, Fields functionFields)`
  `Stream`
  `stateQuery(TridentState state, Fields inputFields, QueryFunction function, Fields functionFields)`
  `Stream`
  `toStream()`
  `Stream`
  `tumblingWindow(int windowCount, WindowsStoreFactory windowStoreFactory, Fields inputFields, Aggregator aggregator, Fields functionFields)`
  Returns a stream of tuples which are aggregated results of a tumbling window with every `windowCount` of tuples.
  `Stream`
  `tumblingWindow(BaseWindowedBolt.Duration windowDuration, WindowsStoreFactory windowStoreFactory, Fields inputFields, Aggregator aggregator, Fields functionFields)`
  Returns a stream of tuples which are aggregated results of a window that tumbles at duration of `windowDuration`.
  `Stream`
  `window(WindowConfig windowConfig, WindowsStoreFactory windowStoreFactory, Fields inputFields, Aggregator aggregator, Fields functionFields)`
  Returns stream of aggregated results based on the given window configuration.
  `Stream`
  `window(WindowConfig windowConfig, Fields inputFields, Aggregator aggregator, Fields functionFields)`
  Returns a stream of aggregated results based on the given window configuration which uses inmemory windowing tuple store.

  ### Methods inherited from class java.lang.Object

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

- ## Constructor Details

  - ### Stream

    protected Stream(TridentTopology topology, String name, Node node)

- ## Method Details

  - ### name

    public Stream name(String name)
    Applies a label to the stream. Naming a stream will append the label to the name of the bolt(s) created by Trident and will be visible in the Storm UI.
    Parameters:
      `name` - - The label to apply to the stream

  - ### parallelismHint

    public Stream parallelismHint(int hint)
    Applies a parallelism hint to a stream.

  - ### setCPULoad

    public Stream setCPULoad(Number load)
    Sets the CPU Load resource for the current operation.
    Specified by:
      `setCPULoad` in interface `ResourceDeclarer<Stream>`
    Parameters:
      `load` - the amount of CPU
    Returns:
      this for chaining

  - ### setMemoryLoad

    public Stream setMemoryLoad(Number onHeap)
    Sets the Memory Load resources for the current operation. offHeap becomes default.
    Specified by:
      `setMemoryLoad` in interface `ResourceDeclarer<Stream>`
    Parameters:
      `onHeap` - the amount of on heap memory
    Returns:
      this for chaining

  - ### setMemoryLoad

    public Stream setMemoryLoad(Number onHeap, Number offHeap)
    Sets the Memory Load resources for the current operation.
    Specified by:
      `setMemoryLoad` in interface `ResourceDeclarer<Stream>`
    Parameters:
      `onHeap` - the amount of on heap memory
      `offHeap` - the amount of off heap memory
    Returns:
      this for chaining

  - ### addSharedMemory

    public Stream addSharedMemory(SharedMemory request)
    Description copied from interface: `ResourceDeclarer`
    Add in request for shared memory that this component will use. See `SharedOnHeap`, `SharedOffHeapWithinNode`, and `SharedOffHeapWithinWorker` for convenient ways to create shared memory requests.
    Specified by:
      `addSharedMemory` in interface `ResourceDeclarer<Stream>`
    Parameters:
      `request` - the shared memory request for this component
    Returns:
      this for chaining

  - ### project

    public Stream project(Fields keepFields)
    Filters out fields from a stream, resulting in a Stream containing only the fields specified by `keepFields`.

    For example, if you had a Stream `mystream` containing the fields `["a", "b", "c","d"]`, calling"

    ```java mystream.project(new Fields("b", "d")) ```

    would produce a stream containing only the fields `["b", "d"]`.

    Parameters:
      `keepFields` - The fields in the Stream to keep

  - ### groupBy

    public GroupedStream groupBy(Fields fields)
    ## Grouping Operation.

  - ### partitionBy

    public Stream partitionBy(Fields fields)
    ## Repartitioning Operation.

  - ### partition

    public Stream partition(CustomStreamGrouping partitioner)
    ## Repartitioning Operation.

  - ### partition

    public Stream partition(Grouping grouping)
    ## Repartitioning Operation.

    This method takes in a custom partitioning function that implements `CustomStreamGrouping`

  - ### shuffle

    public Stream shuffle()
    ## Repartitioning Operation.

    Use random round robin algorithm to evenly redistribute tuples across all target partitions.

  - ### localOrShuffle

    public Stream localOrShuffle()
    ## Repartitioning Operation.

    Use random round robin algorithm to evenly redistribute tuples across all target partitions, with a preference for local tasks.

  - ### global

    public Stream global()
    ## Repartitioning Operation.

    All tuples are sent to the same partition. The same partition is chosen for all batches in the stream.

  - ### batchGlobal

    public Stream batchGlobal()
    ## Repartitioning Operation.

    All tuples in the batch are sent to the same partition. Different batches in the stream may go to different partitions.

  - ### broadcast

    public Stream broadcast()
    ## Repartitioning Operation.

    Every tuple is replicated to all target partitions. This can useful during DRPC – for example, if you need to do a stateQuery on every partition of data.

  - ### identityPartition

    public Stream identityPartition()
    ## Repartitioning Operation.

  - ### applyAssembly

    public Stream applyAssembly(Assembly assembly)
    Applies an `Assembly` to this `Stream`.
    See Also:
      - `Assembly`

  - ### each

    public Stream each(Fields inputFields, Function function, Fields functionFields)
    Specified by:
      `each` in interface `IAggregatableStream`

  - ### each

    public Stream each(Function function, Fields functionFields)

  - ### each

    public Stream each(Fields inputFields, Filter filter)

  - ### partitionAggregate

    public Stream partitionAggregate(Fields inputFields, Aggregator agg, Fields functionFields)
    Specified by:
      `partitionAggregate` in interface `IAggregatableStream`

  - ### partitionAggregate

    public Stream partitionAggregate(Aggregator agg, Fields functionFields)

  - ### partitionAggregate

    public Stream partitionAggregate(CombinerAggregator agg, Fields functionFields)

  - ### partitionAggregate

    public Stream partitionAggregate(Fields inputFields, CombinerAggregator agg, Fields functionFields)

  - ### partitionAggregate

    public Stream partitionAggregate(ReducerAggregator agg, Fields functionFields)

  - ### partitionAggregate

    public Stream partitionAggregate(Fields inputFields, ReducerAggregator agg, Fields functionFields)

  - ### stateQuery

    public Stream stateQuery(TridentState state, Fields inputFields, QueryFunction function, Fields functionFields)

  - ### stateQuery

    public Stream stateQuery(TridentState state, QueryFunction function, Fields functionFields)

  - ### partitionPersist

    public TridentState partitionPersist(StateFactory stateFactory, Fields inputFields, StateUpdater updater, Fields functionFields)

  - ### partitionPersist

    public TridentState partitionPersist(StateSpec stateSpec, Fields inputFields, StateUpdater updater, Fields functionFields)

  - ### partitionPersist

    public TridentState partitionPersist(StateFactory stateFactory, Fields inputFields, StateUpdater updater)

  - ### partitionPersist

    public TridentState partitionPersist(StateSpec stateSpec, Fields inputFields, StateUpdater updater)

  - ### partitionPersist

    public TridentState partitionPersist(StateFactory stateFactory, StateUpdater updater, Fields functionFields)

  - ### partitionPersist

    public TridentState partitionPersist(StateSpec stateSpec, StateUpdater updater, Fields functionFields)

  - ### partitionPersist

    public TridentState partitionPersist(StateFactory stateFactory, StateUpdater updater)

  - ### partitionPersist

    public TridentState partitionPersist(StateSpec stateSpec, StateUpdater updater)

  - ### filter

    public Stream filter(Filter filter)
    Returns a stream consisting of the elements of this stream that match the given filter.
    Parameters:
      `filter` - the filter to apply to each trident tuple to determine if it should be included.
    Returns:
      the new stream

  - ### filter

    public Stream filter(Fields inputFields, Filter filter)
    Returns a stream consisting of the elements of this stream that match the given filter.
    Parameters:
      `inputFields` - the fields of the input trident tuple to be selected.
      `filter` - the filter to apply to each trident tuple to determine if it should be included.
    Returns:
      the new stream

  - ### map

    public Stream map(MapFunction function)
    Returns a stream consisting of the result of applying the given mapping function to the values of this stream.
    Parameters:
      `function` - a mapping function to be applied to each value in this stream.
    Returns:
      the new stream

  - ### map

    public Stream map(MapFunction function, Fields outputFields)
    Returns a stream consisting of the result of applying the given mapping function to the values of this stream. This method replaces old output fields with new output fields, achieving T -> V conversion.
    Parameters:
      `function` - a mapping function to be applied to each value in this stream.
      `outputFields` - new output fields
    Returns:
      the new stream

  - ### flatMap

    public Stream flatMap(FlatMapFunction function)
    Returns a stream consisting of the results of replacing each value of this stream with the contents produced by applying the provided mapping function to each value. This has the effect of applying a one-to-many transformation to the values of the stream, and then flattening the resulting elements into a new stream.
    Parameters:
      `function` - a mapping function to be applied to each value in this stream which produces new values.
    Returns:
      the new stream

  - ### flatMap

    public Stream flatMap(FlatMapFunction function, Fields outputFields)
    Returns a stream consisting of the results of replacing each value of this stream with the contents produced by applying the provided mapping function to each value. This has the effect of applying a one-to-many transformation to the values of the stream, and then flattening the resulting elements into a new stream. This method replaces old output fields with new output fields, achieving T -> V conversion.
    Parameters:
      `function` - a mapping function to be applied to each value in this stream which produces new values.
      `outputFields` - new output fields
    Returns:
      the new stream

  - ### peek

    public Stream peek(Consumer action)
    Returns a stream consisting of the trident tuples of this stream, additionally performing the provided action on each trident tuple as they are consumed from the resulting stream. This is mostly useful for debugging to see the tuples as they flow past a certain point in a pipeline.
    Parameters:
      `action` - the action to perform on the trident tuple as they are consumed from the stream
    Returns:
      the new stream

  - ### chainedAgg

    public ChainedAggregatorDeclarer chainedAgg()

  - ### minBy

    public Stream minBy(String inputFieldName)
    This aggregator operation computes the minimum of tuples by the given `inputFieldName` and it is assumed that its value is an instance of `Comparable`. If the value of tuple with field `inputFieldName` is not an instance of `Comparable` then it throws `ClassCastException`
    Parameters:
      `inputFieldName` - input field name
    Returns:
      the new stream with this operation.

  - ### minBy

    public <T> Stream minBy(String inputFieldName, Comparator<T> comparator)
    This aggregator operation computes the minimum of tuples by the given `inputFieldName` in a stream by using the given `comparator`. If the value of tuple with field `inputFieldName` is not an instance of `T` then it throws `ClassCastException`
    Parameters:
      `inputFieldName` - input field name
      `comparator` - comparator used in for finding minimum of two tuple values of `inputFieldName`.
    Returns:
      the new stream with this operation.

  - ### min

    public Stream min(Comparator<TridentTuple> comparator)
    This aggregator operation computes the minimum of tuples in a stream by using the given `comparator` with `TridentTuple`s.
    Parameters:
      `comparator` - comparator used in for finding minimum of two tuple values.
    Returns:
      the new stream with this operation.

  - ### maxBy

    public Stream maxBy(String inputFieldName)
    This aggregator operation computes the maximum of tuples by the given `inputFieldName` and it is assumed that its value is an instance of `Comparable`. If the value of tuple with field `inputFieldName` is not an instance of `Comparable` then it throws `ClassCastException`
    Parameters:
      `inputFieldName` - input field name
    Returns:
      the new stream with this operation.

  - ### maxBy

    public <T> Stream maxBy(String inputFieldName, Comparator<T> comparator)
    This aggregator operation computes the maximum of tuples by the given `inputFieldName` in a stream by using the given `comparator`. If the value of tuple with field `inputFieldName` is not an instance of `T` then it throws `ClassCastException`
    Parameters:
      `inputFieldName` - input field name
      `comparator` - comparator used in for finding maximum of two tuple values of `inputFieldName`.
    Returns:
      the new stream with this operation.

  - ### max

    public Stream max(Comparator<TridentTuple> comparator)
    This aggregator operation computes the maximum of tuples in a stream by using the given `comparator` with `TridentTuple`s.
    Parameters:
      `comparator` - comparator used in for finding maximum of two tuple values.
    Returns:
      the new stream with this operation.

  - ### aggregate

    public Stream aggregate(Aggregator agg, Fields functionFields)

  - ### aggregate

    public Stream aggregate(Fields inputFields, Aggregator agg, Fields functionFields)

  - ### aggregate

    public Stream aggregate(CombinerAggregator agg, Fields functionFields)

  - ### aggregate

    public Stream aggregate(Fields inputFields, CombinerAggregator agg, Fields functionFields)

  - ### aggregate

    public Stream aggregate(ReducerAggregator agg, Fields functionFields)

  - ### aggregate

    public Stream aggregate(Fields inputFields, ReducerAggregator agg, Fields functionFields)

  - ### tumblingWindow

    public Stream tumblingWindow(int windowCount, WindowsStoreFactory windowStoreFactory, Fields inputFields, Aggregator aggregator, Fields functionFields)
    Returns a stream of tuples which are aggregated results of a tumbling window with every `windowCount` of tuples.
    Parameters:
      `windowCount` - represents number of tuples in the window
      `windowStoreFactory` - intermediary tuple store for storing windowing tuples
      `inputFields` - projected fields for aggregator
      `aggregator` - aggregator to run on the window of tuples to compute the result and emit to the stream.
      `functionFields` - fields of values to emit with aggregation.
    Returns:
      the new stream with this operation.

  - ### tumblingWindow

    public Stream tumblingWindow(BaseWindowedBolt.Duration windowDuration, WindowsStoreFactory windowStoreFactory, Fields inputFields, Aggregator aggregator, Fields functionFields)
    Returns a stream of tuples which are aggregated results of a window that tumbles at duration of `windowDuration`.
    Parameters:
      `windowDuration` - represents tumbling window duration configuration
      `windowStoreFactory` - intermediary tuple store for storing windowing tuples
      `inputFields` - projected fields for aggregator
      `aggregator` - aggregator to run on the window of tuples to compute the result and emit to the stream.
      `functionFields` - fields of values to emit with aggregation.
    Returns:
      the new stream with this operation.

  - ### slidingWindow

    public Stream slidingWindow(int windowCount, int slideCount, WindowsStoreFactory windowStoreFactory, Fields inputFields, Aggregator aggregator, Fields functionFields)
    Returns a stream of tuples which are aggregated results of a sliding window with every `windowCount` of tuples and slides the window after `slideCount`.
    Parameters:
      `windowCount` - represents tuples count of a window
      `slideCount` - the number of tuples after which the window slides
      `windowStoreFactory` - intermediary tuple store for storing windowing tuples
      `inputFields` - projected fields for aggregator
      `aggregator` - aggregator to run on the window of tuples to compute the result and emit to the stream.
      `functionFields` - fields of values to emit with aggregation.
    Returns:
      the new stream with this operation.

  - ### slidingWindow

    public Stream slidingWindow(BaseWindowedBolt.Duration windowDuration, BaseWindowedBolt.Duration slidingInterval, WindowsStoreFactory windowStoreFactory, Fields inputFields, Aggregator aggregator, Fields functionFields)
    Returns a stream of tuples which are aggregated results of a window which slides at duration of `slidingInterval` and completes a window at `windowDuration`.
    Parameters:
      `windowDuration` - represents window duration configuration
      `slidingInterval` - the time duration after which the window slides
      `windowStoreFactory` - intermediary tuple store for storing windowing tuples
      `inputFields` - projected fields for aggregator
      `aggregator` - aggregator to run on the window of tuples to compute the result and emit to the stream.
      `functionFields` - fields of values to emit with aggregation.
    Returns:
      the new stream with this operation.

  - ### window

    public Stream window(WindowConfig windowConfig, Fields inputFields, Aggregator aggregator, Fields functionFields)
    Returns a stream of aggregated results based on the given window configuration which uses inmemory windowing tuple store.
    Parameters:
      `windowConfig` - window configuration like window length and slide length.
      `inputFields` - input fields
      `aggregator` - aggregator to run on the window of tuples to compute the result and emit to the stream.
      `functionFields` - fields of values to emit with aggregation.
    Returns:
      the new stream with this operation.

  - ### window

    public Stream window(WindowConfig windowConfig, WindowsStoreFactory windowStoreFactory, Fields inputFields, Aggregator aggregator, Fields functionFields)
    Returns stream of aggregated results based on the given window configuration.
    Parameters:
      `windowConfig` - window configuration like window length and slide length.
      `windowStoreFactory` - intermediary tuple store for storing tuples for windowing
      `inputFields` - input fields
      `aggregator` - aggregator to run on the window of tuples to compute the result and emit to the stream.
      `functionFields` - fields of values to emit with aggregation.
    Returns:
      the new stream with this operation.

  - ### persistentAggregate

    public TridentState persistentAggregate(StateFactory stateFactory, CombinerAggregator agg, Fields functionFields)

  - ### persistentAggregate

    public TridentState persistentAggregate(StateSpec spec, CombinerAggregator agg, Fields functionFields)

  - ### persistentAggregate

    public TridentState persistentAggregate(StateFactory stateFactory, Fields inputFields, CombinerAggregator agg, Fields functionFields)

  - ### persistentAggregate

    public TridentState persistentAggregate(StateSpec spec, Fields inputFields, CombinerAggregator agg, Fields functionFields)

  - ### persistentAggregate

    public TridentState persistentAggregate(StateFactory stateFactory, ReducerAggregator agg, Fields functionFields)

  - ### persistentAggregate

    public TridentState persistentAggregate(StateSpec spec, ReducerAggregator agg, Fields functionFields)

  - ### persistentAggregate

    public TridentState persistentAggregate(StateFactory stateFactory, Fields inputFields, ReducerAggregator agg, Fields functionFields)

  - ### persistentAggregate

    public TridentState persistentAggregate(StateSpec spec, Fields inputFields, ReducerAggregator agg, Fields functionFields)

  - ### toStream

    public Stream toStream()
    Specified by:
      `toStream` in interface `IAggregatableStream`

  - ### getName

    public String getName()
    Returns the label applied to the stream.
    Returns:
      the label applied to the stream.

  - ### getOutputFields

    public Fields getOutputFields()
    Specified by:
      `getOutputFields` in interface `IAggregatableStream`