kafka Repartitioned 源码
kafka Repartitioned 代码
文件路径:/streams/streams-scala/src/main/scala/org/apache/kafka/streams/scala/kstream/Repartitioned.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.kstream
import org.apache.kafka.common.serialization.Serde
import org.apache.kafka.streams.kstream.{Repartitioned => RepartitionedJ}
import org.apache.kafka.streams.processor.StreamPartitioner
object Repartitioned {
/**
* Create a Repartitioned instance with provided keySerde and valueSerde.
*
* @tparam K key type
* @tparam V value type
* @param keySerde Serde to use for serializing the key
* @param valueSerde Serde to use for serializing the value
* @return A new [[Repartitioned]] instance configured with keySerde and valueSerde
* @see KStream#repartition(Repartitioned)
*/
def `with`[K, V](implicit keySerde: Serde[K], valueSerde: Serde[V]): RepartitionedJ[K, V] =
RepartitionedJ.`with`(keySerde, valueSerde)
/**
* Create a Repartitioned instance with provided keySerde, valueSerde, and name used as part of the repartition topic.
*
* @tparam K key type
* @tparam V value type
* @param name the name used as a processor named and part of the repartition topic name.
* @param keySerde Serde to use for serializing the key
* @param valueSerde Serde to use for serializing the value
* @return A new [[Repartitioned]] instance configured with keySerde, valueSerde, and processor and repartition topic name
* @see KStream#repartition(Repartitioned)
*/
def `with`[K, V](name: String)(implicit keySerde: Serde[K], valueSerde: Serde[V]): RepartitionedJ[K, V] =
RepartitionedJ.`as`(name).withKeySerde(keySerde).withValueSerde(valueSerde)
/**
* Create a Repartitioned instance with provided keySerde, valueSerde, and partitioner.
*
* @tparam K key type
* @tparam V value type
* @param partitioner the function used to determine how records are distributed among partitions of the topic,
* if not specified and `keySerde` provides a
* [[org.apache.kafka.streams.kstream.internals.WindowedSerializer]] for the key
* [[org.apache.kafka.streams.kstream.internals.WindowedStreamPartitioner]] will be
* used—otherwise [[org.apache.kafka.clients.producer.internals.DefaultPartitioner]]
* will be used
* @param keySerde Serde to use for serializing the key
* @param valueSerde Serde to use for serializing the value
* @return A new [[Repartitioned]] instance configured with keySerde, valueSerde, and partitioner
* @see KStream#repartition(Repartitioned)
*/
def `with`[K, V](
partitioner: StreamPartitioner[K, V]
)(implicit keySerde: Serde[K], valueSerde: Serde[V]): RepartitionedJ[K, V] =
RepartitionedJ.`streamPartitioner`(partitioner).withKeySerde(keySerde).withValueSerde(valueSerde)
/**
* Create a Repartitioned instance with provided keySerde, valueSerde, and number of partitions for repartition topic.
*
* @tparam K key type
* @tparam V value type
* @param numberOfPartitions number of partitions used when creating repartition topic
* @param keySerde Serde to use for serializing the key
* @param valueSerde Serde to use for serializing the value
* @return A new [[Repartitioned]] instance configured with keySerde, valueSerde, and number of partitions
* @see KStream#repartition(Repartitioned)
*/
def `with`[K, V](numberOfPartitions: Int)(implicit keySerde: Serde[K], valueSerde: Serde[V]): RepartitionedJ[K, V] =
RepartitionedJ.`numberOfPartitions`(numberOfPartitions).withKeySerde(keySerde).withValueSerde(valueSerde)
}
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