spark LocationStrategy 源码
spark LocationStrategy 代码
文件路径：/connector/kafka-0-10/src/main/scala/org/apache/spark/streaming/kafka010/LocationStrategy.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.spark.streaming.kafka010
import java.{ util => ju }
import scala.collection.JavaConverters._
import org.apache.kafka.common.TopicPartition
/**
* Choice of how to schedule consumers for a given TopicPartition on an executor.
* See [[LocationStrategies]] to obtain instances.
* Kafka 0.10 consumers prefetch messages, so it's important for performance
* to keep cached consumers on appropriate executors, not recreate them for every partition.
* Choice of location is only a preference, not an absolute; partitions may be scheduled elsewhere.
*/
sealed abstract class LocationStrategy
private case object PreferBrokers extends LocationStrategy
private case object PreferConsistent extends LocationStrategy
private case class PreferFixed(hostMap: ju.Map[TopicPartition, String]) extends LocationStrategy
/**
* Object to obtain instances of [[LocationStrategy]]
*/
object LocationStrategies {
/**
* Use this only if your executors are on the same nodes as your Kafka brokers.
*/
def PreferBrokers: LocationStrategy =
org.apache.spark.streaming.kafka010.PreferBrokers
/**
* Use this in most cases, it will consistently distribute partitions across all executors.
*/
def PreferConsistent: LocationStrategy =
org.apache.spark.streaming.kafka010.PreferConsistent
/**
* Use this to place particular TopicPartitions on particular hosts if your load is uneven.
* Any TopicPartition not specified in the map will use a consistent location.
*/
def PreferFixed(hostMap: collection.Map[TopicPartition, String]): LocationStrategy =
new PreferFixed(new ju.HashMap[TopicPartition, String](hostMap.asJava))
/**
* Use this to place particular TopicPartitions on particular hosts if your load is uneven.
* Any TopicPartition not specified in the map will use a consistent location.
*/
def PreferFixed(hostMap: ju.Map[TopicPartition, String]): LocationStrategy =
new PreferFixed(hostMap)
}
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