spark RpcUtils 源码
spark RpcUtils 代码
文件路径:/core/src/main/scala/org/apache/spark/util/RpcUtils.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.util
import scala.concurrent.duration._
import org.apache.spark.SparkConf
import org.apache.spark.internal.config
import org.apache.spark.internal.config.Network._
import org.apache.spark.rpc.{RpcAddress, RpcEndpointRef, RpcEnv, RpcTimeout}
private[spark] object RpcUtils {
/**
* Retrieve a `RpcEndpointRef` which is located in the driver via its name.
*/
def makeDriverRef(name: String, conf: SparkConf, rpcEnv: RpcEnv): RpcEndpointRef = {
val driverHost: String = conf.get(config.DRIVER_HOST_ADDRESS.key, "localhost")
val driverPort: Int = conf.getInt(config.DRIVER_PORT.key, 7077)
Utils.checkHost(driverHost)
rpcEnv.setupEndpointRef(RpcAddress(driverHost, driverPort), name)
}
/** Returns the default Spark timeout to use for RPC ask operations. */
def askRpcTimeout(conf: SparkConf): RpcTimeout = {
RpcTimeout(conf, Seq(RPC_ASK_TIMEOUT.key, NETWORK_TIMEOUT.key), "120s")
}
/** Returns the default Spark timeout to use for RPC remote endpoint lookup. */
def lookupRpcTimeout(conf: SparkConf): RpcTimeout = {
RpcTimeout(conf, Seq(RPC_LOOKUP_TIMEOUT.key, NETWORK_TIMEOUT.key), "120s")
}
/**
* Infinite timeout is used internally, so there's no timeout configuration property that
* controls it. Therefore, we use "infinite" without any specific reason as its timeout
* configuration property. And its timeout property should never be accessed since infinite
* means we never timeout.
*/
val INFINITE_TIMEOUT = new RpcTimeout(Long.MaxValue.nanos, "infinite")
private val MAX_MESSAGE_SIZE_IN_MB = Int.MaxValue / 1024 / 1024
/** Returns the configured max message size for messages in bytes. */
def maxMessageSizeBytes(conf: SparkConf): Int = {
val maxSizeInMB = conf.get(RPC_MESSAGE_MAX_SIZE)
if (maxSizeInMB > MAX_MESSAGE_SIZE_IN_MB) {
throw new IllegalArgumentException(
s"${RPC_MESSAGE_MAX_SIZE.key} should not be greater than $MAX_MESSAGE_SIZE_IN_MB MB")
}
maxSizeInMB * 1024 * 1024
}
}
相关信息
相关文章
spark ByteBufferInputStream 源码
0
赞
- 所属分类: 前端技术
- 本文标签:
热门推荐
-
2、 - 优质文章
-
3、 gate.io
-
8、 golang
-
9、 openharmony
-
10、 Vue中input框自动聚焦