Uses of Class
org.apache.flink.streaming.api.datastream.WindowedDataStream

Packages that use WindowedDataStream

Package	Description
org.apache.flink.streaming.api.datastream

Uses of WindowedDataStream in org.apache.flink.streaming.api.datastream

Subclasses of WindowedDataStream in org.apache.flink.streaming.api.datastream

Modifier and Type	Class and Description
class	DiscretizedStream<OUT> A DiscretizedStream represents a data stream that has been divided into windows (predefined chunks).

Methods in org.apache.flink.streaming.api.datastream that return WindowedDataStream

Modifier and Type	Method and Description
protected WindowedDataStream<OUT>	WindowedDataStream.copy()
WindowedDataStream<OUT>	WindowedDataStream.every(WindowingHelper policyHelper) Defines the slide size (trigger frequency) for the windowed data stream.
WindowedDataStream<OUT>	DataStream.every(WindowingHelper policyHelper) Create a WindowedDataStream on the full stream history, to produce periodic aggregates.
WindowedDataStream<OUT>	WindowedDataStream.groupBy(int... fields) Groups the elements of the WindowedDataStream by the given key positions.
WindowedDataStream<OUT>	WindowedDataStream.groupBy(org.apache.flink.api.java.functions.KeySelector<OUT,?> keySelector) Groups the elements of the WindowedDataStream using the given KeySelector.
WindowedDataStream<OUT>	WindowedDataStream.groupBy(String... fields) Groups the elements of the WindowedDataStream by the given field expressions.
WindowedDataStream<OUT>	WindowedDataStream.local() Sets the window discretisation local, meaning that windows will be created in parallel at environment parallelism.
WindowedDataStream<OUT>	DiscretizedStream.local()
WindowedDataStream<OUT>	WindowedDataStream.max(int positionToMax) Applies an aggregation that gives the maximum value of every window of the data stream at the given position.
WindowedDataStream<OUT>	WindowedDataStream.max(String field) Applies an aggregation that that gives the maximum value of the pojo data stream at the given field expression for every window.
WindowedDataStream<OUT>	WindowedDataStream.maxBy(int positionToMaxBy) Applies an aggregation that gives the maximum element of every window of the data stream by the given position.
WindowedDataStream<OUT>	WindowedDataStream.maxBy(int positionToMaxBy, boolean first) Applies an aggregation that gives the maximum element of every window of the data stream by the given position.
WindowedDataStream<OUT>	WindowedDataStream.maxBy(String positionToMaxBy) Applies an aggregation that gives the maximum element of every window of the data stream by the given position.
WindowedDataStream<OUT>	WindowedDataStream.maxBy(String field, boolean first) Applies an aggregation that that gives the maximum element of the pojo data stream by the given field expression for every window.
WindowedDataStream<OUT>	WindowedDataStream.min(int positionToMin) Applies an aggregation that that gives the minimum value of every window of the data stream at the given position.
WindowedDataStream<OUT>	WindowedDataStream.min(String field) Applies an aggregation that that gives the minimum value of the pojo data stream at the given field expression for every window.
WindowedDataStream<OUT>	WindowedDataStream.minBy(int positionToMinBy) Applies an aggregation that gives the minimum element of every window of the data stream by the given position.
WindowedDataStream<OUT>	WindowedDataStream.minBy(int positionToMinBy, boolean first) Applies an aggregation that gives the minimum element of every window of the data stream by the given position.
WindowedDataStream<OUT>	WindowedDataStream.minBy(String positionToMinBy) Applies an aggregation that gives the minimum element of every window of the data stream by the given position.
WindowedDataStream<OUT>	WindowedDataStream.minBy(String field, boolean first) Applies an aggregation that that gives the minimum element of the pojo data stream by the given field expression for every window.
WindowedDataStream<OUT>	WindowedDataStream.sum(int positionToSum) Applies an aggregation that sums every window of the data stream at the given position.
WindowedDataStream<OUT>	WindowedDataStream.sum(String field) Applies an aggregation that sums every window of the pojo data stream at the given field for every window.
WindowedDataStream<OUT>	DataStream.window(TriggerPolicy<OUT> trigger, EvictionPolicy<OUT> eviction) Create a WindowedDataStream using the given TriggerPolicy and EvictionPolicy.
WindowedDataStream<OUT>	DataStream.window(WindowingHelper policyHelper) Create a WindowedDataStream that can be used to apply transformation like reduceWindow(org.apache.flink.api.common.functions.ReduceFunction<OUT>), mapWindow(org.apache.flink.streaming.api.functions.WindowMapFunction<OUT, R>) or aggregations on preset chunks(windows) of the data stream.

Constructors in org.apache.flink.streaming.api.datastream with parameters of type WindowedDataStream

Constructor and Description
WindowedDataStream(WindowedDataStream<OUT> windowedDataStream)