连接到远程 Spark master - Java/Scala [英] Connecting to a remote Spark master - Java / Scala

问题描述

我在 AWS 中创建了一个 3 节点(1 个主节点，2 个工作节点)Apache Spark 集群.我可以从主服务器向集群提交作业，但无法远程工作.

I created a 3 node (1 master, 2 workers) Apache Spark cluster in AWS. I'm able to submit jobs to the cluster from the master, however I cannot get it work remotely.

/* SimpleApp.scala */
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf

object SimpleApp {
  def main(args: Array[String]) {
    val logFile = "/usr/local/spark/README.md" // Should be some file on your system
    val conf = new SparkConf().setAppName("Simple Application").setMaster("spark://ec2-54-245-111-320.compute-1.amazonaws.com:7077")
    val sc = new SparkContext(conf)
    val logData = sc.textFile(logFile, 2).cache()
    val numAs = logData.filter(line => line.contains("a")).count()
    val numBs = logData.filter(line => line.contains("b")).count()
    println(s"Lines with a: $numAs, Lines with b: $numBs")
    sc.stop()
  }
}

我可以从主人那里看到:

I can see from the master:

Spark Master at spark://ip-171-13-22-125.ec2.internal:7077
URL: spark://ip-171-13-22-125.ec2.internal:7077
REST URL: spark://ip-171-13-22-125.ec2.internal:6066 (cluster mode)

所以当我从本地机器执行 SimpleApp.scala 时，它无法连接到 Spark Master:

so when I execute SimpleApp.scala from my local machine, it fails to connect to the the Spark Master:

2017-02-04 19:59:44,074 INFO  [appclient-register-master-threadpool-0] client.StandaloneAppClient$ClientEndpoint (Logging.scala:54)  [] - Connecting to master spark://ec2-54-245-111-320.compute-1.amazonaws.com:7077...
2017-02-04 19:59:44,166 WARN  [appclient-register-master-threadpool-0] client.StandaloneAppClient$ClientEndpoint (Logging.scala:87)  [] - Failed to connect to spark://ec2-54-245-111-320.compute-1.amazonaws.com:7077
org.apache.spark.SparkException: Exception thrown in awaitResult
    at org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77) ~[spark-core_2.10-2.0.2.jar:2.0.2]
    at org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:75) ~[spark-core_2.10-2.0.2.jar:2.0.2]
    at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33) ~[scala-library-2.10.0.jar:?]
    at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59) ~[spark-core_2.10-2.0.2.jar:2.0.2]

但是，我知道如果我将 master 设置为 local，它会起作用，因为它会在本地运行.但是，我想让我的客户端连接到这个远程主机.我怎样才能做到这一点?Apache 配置文件.我什至可以 telnet 到那个公共 DNS 和端口，我还为每个 EC2 实例配置了带有公共 DNS 和主机名的 /etc/hosts.我希望能够向这个远程主提交作业，我错过了什么?

However, I know it would have worked if I had set the master to local, because then it would run locally. However, I want to have my client connecting to this remote master. How can I accomplish that? The Apache configuration looks file. I can even telnet to that public DNS and port, I also configured /etc/hosts with the public DNS and hostname for each of the EC2 instances. I want to be able to submit jobs to this remote master, what am I missing?

推荐答案

要绑定 master 主机名/IP，请转到您的 spark 安装 conf 目录 (spark-2.0.2-bin-hadoop2.7/conf) 并创建 spark-env.sh 文件使用以下命令.

For binding master host-name/IP go to your spark installation conf directory (spark-2.0.2-bin-hadoop2.7/conf) and create spark-env.sh file using below command.

cp spark-env.sh.template spark-env.sh

在 vi 编辑器中打开 spark-env.sh 文件，并在下面添加带有主机名/IP 的行.

Open spark-env.sh file in vi editor and add below line with host-name/IP of your master.

SPARK_MASTER_HOST=ec2-54-245-111-320.compute-1.amazonaws.com

使用 stop-all.sh 和 start-all.sh 停止和启动 Spark.现在您可以使用它来使用

Stop and start Spark using stop-all.sh and start-all.sh. Now you can use it to connect remote master using

val spark = SparkSession.builder()
  .appName("SparkSample")
  .master("spark://ec2-54-245-111-320.compute-1.amazonaws.com:7077")
  .getOrCreate()

有关设置环境变量的更多信息，请查看 http://spark.apache.org/docs/latest/spark-standalone.html#cluster-launch-scripts

For more information on setting environment variables please check http://spark.apache.org/docs/latest/spark-standalone.html#cluster-launch-scripts

这篇关于连接到远程 Spark master - Java/Scala的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！