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/**
 * {@code SessionWindowedCogroupKStream} is an abstraction of a <i>windowed</i> record stream of {@link org.apache.kafka.streams.KeyValue} pairs.
 * It is an intermediate representation of a {@link KGroupedStream} in order to apply a windowed aggregation operation on the original
 * {@link KGroupedStream} records.
 * <p>
 * It is an intermediate representation after a grouping, cogrouping and windowing of a {@link KStream} before an aggregation is applied to the
 * new (partitioned) windows resulting in a windowed {@link KTable}
 * (a <emph>windowed</emph> {@code KTable} is a {@link KTable} with key type {@link Windowed Windowed<K>}.
 * <p>
 * The specified {@code SessionWindows} define the gap between windows.
 * The result is written into a local windowed {@link org.apache.kafka.streams.state.KeyValueStore} (which is basically an ever-updating
 * materialized view) that can be queried using the name provided in the {@link Materialized} instance.
 *
 * New events are added to windows until their grace period ends (see {@link TimeWindows#grace(Duration)}).
 *
 * Furthermore, updates to the store are sent downstream into a windowed {@link KTable} changelog stream, where
 * "windowed" implies that the {@link KTable} key is a combined key of the original record key and a window ID.

 * A {@code WindowedKStream} must be obtained from a {@link KGroupedStream} via {@link KGroupedStream#windowedBy(Windows)} .
 *
 * @param <K> Type of keys
 * @param <V> Type of values
 * @see KStream
 * @see KGroupedStream
 * @see CogroupedKStream
 */
import org.apache.kafka.streams.state.SessionStore;

public interface SessionWindowedCogroupedKStream<K, V> {
    KTable<Windowed<K>, Vout> aggregate(final Initializer<V> initializer,
                                     final Merger<? super K, V> sessionMerger,
                                     final Materialized<K, V, SessionStore<Bytes, byte[]>> materialized);

    KTable<Windowed<K>, V> aggregate(final Initializer<V> initializer,
                                     final Merger<? super K, V> sessionMerger);

    KTable<Windowed<K>, Vout> aggregate(final Initializer<V> initializer,
									 final Named named,
                                     final Merger<? super K, V> sessionMerger,
                                     final Materialized<K, V, SessionStore<Bytes, byte[]>> materialized,
									 final Named named);

    KTable<Windowed<K>, V> aggregate(final Initializer<V> initializer,
									 final Named named,
                                     final Merger<? super K, V> sessionMerger,
									 final Named named);

}


Code Block
/**
 * {@code TimeWindowedCogroupKStream} is an abstraction of a <i>windowed</i> record stream of {@link org.apache.kafka.streams.KeyValue} pairs.
 * It is an intermediate representation of a {@link KGroupedStream} in order to apply a windowed aggregation operation on the original
 * {@link KGroupedStream} records.
 * <p>
 * It is an intermediate representation after a grouping, cogrouping and windowing of a {@link KStream} before an aggregation is applied to the
 * new (partitioned) windows resulting in a windowed {@link KTable}
 * (a <emph>windowed</emph> {@code KTable} is a {@link KTable} with key type {@link Windowed Windowed<K>}.
 * <p>
 * The specified {@code windows} define either hopping time windows that can be overlapping or tumbling (c.f.
 * {@link TimeWindows}) or they define landmark windows (c.f. {@link UnlimitedWindows}).
 * The result is written into a local windowed {@link org.apache.kafka.streams.state.KeyValueStore} (which is basically an ever-updating
 * materialized view) that can be queried using the name provided in the {@link Materialized} instance.
 *
 * New events are added to windows until their grace period ends (see {@link TimeWindows#grace(Duration)}).
 *
 * Furthermore, updates to the store are sent downstream into a windowed {@link KTable} changelog stream, where
 * "windowed" implies that the {@link KTable} key is a combined key of the original record key and a window ID.

 * A {@code WindowedKStream} must be obtained from a {@link KGroupedStream} via {@link KGroupedStream#windowedBy(Windows)} .
 *
 * @param <K> Type of keys
 * @param <T> Type of values
 * @see KStream
 * @see KGroupedStream
 * @see CogroupedKStream
 */

public interface TimeWindowedCogroupedKStream<K, V> {

    KTable<Windowed<K>, V> aggregate(final Initializer<V> initializer,
                                     final Materialized<K, V, WindowStore<Bytes, byte[]>> materialized);

    KTable<Windowed<K>, V> aggregate(final Initializer<V> initializer);

    KTable<Windowed<K>, V> aggregate(final Initializer<V> initializer,
									 final Named named,
                                     final Materialized<K, V, WindowStore<Bytes, byte[]>> materialized);

    KTable<Windowed<K>, V> aggregate(final Initializer<V> initializer,
									 final Named named);

}

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