spark BroadcastFactory 源码
spark BroadcastFactory 代码
文件路径：/core/src/main/scala/org/apache/spark/broadcast/BroadcastFactory.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.broadcast
import scala.reflect.ClassTag
import org.apache.spark.SparkConf
/**
* An interface for all the broadcast implementations in Spark (to allow
* multiple broadcast implementations). SparkContext uses a BroadcastFactory
* implementation to instantiate a particular broadcast for the entire Spark job.
*/
private[spark] trait BroadcastFactory {
def initialize(isDriver: Boolean, conf: SparkConf): Unit
/**
* Creates a new broadcast variable.
*
* @param value value to broadcast
* @param isLocal whether we are in local mode (single JVM process)
* @param id unique id representing this broadcast variable
* @param serializedOnly if true, do not cache the unserialized value on the driver
* @return `Broadcast` object, a read-only variable cached on each machine
*/
def newBroadcast[T: ClassTag](
value: T,
isLocal: Boolean,
id: Long,
serializedOnly: Boolean = false): Broadcast[T]
def unbroadcast(id: Long, removeFromDriver: Boolean, blocking: Boolean): Unit
def stop(): Unit
}
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