kafka SessionWindowedCogroupedKStream 源码

kafka SessionWindowedCogroupedKStream 代码

文件路径：/streams/streams-scala/src/main/scala/org/apache/kafka/streams/scala/kstream/SessionWindowedCogroupedKStream.scala

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements. See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License. You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.apache.kafka.streams.scala
package kstream

import org.apache.kafka.streams.kstream.{SessionWindowedCogroupedKStream => SessionWindowedCogroupedKStreamJ, Windowed}
import org.apache.kafka.streams.scala.FunctionsCompatConversions.{InitializerFromFunction, MergerFromFunction}

/**
 * Wraps the Java class SessionWindowedCogroupedKStream and delegates method calls to the underlying Java object.
 *
 * @tparam K Type of keys
 * @tparam V Type of values
 * @param inner The underlying Java abstraction for SessionWindowedCogroupedKStream
 * @see `org.apache.kafka.streams.kstream.SessionWindowedCogroupedKStream`
 */
class SessionWindowedCogroupedKStream[K, V](val inner: SessionWindowedCogroupedKStreamJ[K, V]) {

  /**
   * Aggregate the values of records in this stream by the grouped key and defined `SessionWindows`.
   *
   * @param initializer  the initializer function
   * @param merger       a function that combines two aggregation results.
   * @param materialized an instance of `Materialized` used to materialize a state store.
   * @return a windowed [[KTable]] that contains "update" records with unmodified keys, and values that represent
   *         the latest (rolling) aggregate for each key within a window
   * @see `org.apache.kafka.streams.kstream.SessionWindowedCogroupedKStream#aggregate`
   */
  def aggregate(initializer: => V, merger: (K, V, V) => V)(implicit
    materialized: Materialized[K, V, ByteArraySessionStore]
  ): KTable[Windowed[K], V] =
    new KTable(inner.aggregate((() => initializer).asInitializer, merger.asMerger, materialized))

  /**
   * Aggregate the values of records in this stream by the grouped key and defined `SessionWindows`.
   *
   * @param initializer  the initializer function
   * @param merger       a function that combines two aggregation results.
   * @param named        a [[Named]] config used to name the processor in the topology
   * @param materialized an instance of `Materialized` used to materialize a state store.
   * @return a windowed [[KTable]] that contains "update" records with unmodified keys, and values that represent
   *         the latest (rolling) aggregate for each key within a window
   * @see `org.apache.kafka.streams.kstream.SessionWindowedCogroupedKStream#aggregate`
   */
  def aggregate(initializer: => V, merger: (K, V, V) => V, named: Named)(implicit
    materialized: Materialized[K, V, ByteArraySessionStore]
  ): KTable[Windowed[K], V] =
    new KTable(inner.aggregate((() => initializer).asInitializer, merger.asMerger, named, materialized))

}

相关信息

kafka 源码目录

相关文章

kafka Branched 源码

kafka BranchedKStream 源码

kafka CogroupedKStream 源码

kafka Consumed 源码

kafka Grouped 源码

kafka Joined 源码

kafka KGroupedStream 源码

kafka KGroupedTable 源码

kafka KStream 源码

kafka KTable 源码