反应迟钝星火硕士 [英] Unresponsive Spark Master

问题描述

我想在Mac上运行在独立模式下一个简单的星火应用程序。

I'm trying to run a simple Spark app in Standalone mode on Mac.

我管理运行 ./ sbin目录/ start-master.sh 来启动主服务器和工人。

I manage to run ./sbin/start-master.sh to start the master server and worker.

./斌/火花壳--master火花：//MacBook-Pro.local：7077 也能工作，我可以看到它在主服务器上运行的应用程序列表WebUI中

./bin/spark-shell --master spark://MacBook-Pro.local:7077 also works and I can see it in running application list in Master WebUI

现在我想要写一个简单的火花应用程序。

Now I'm trying to write a simple spark app.

import org.apache.spark.{SparkContext, SparkConf}
import org.apache.spark.SparkContext._

object SimpleApp {
  def main(args: Array[String]) {
    val conf = new SparkConf().setAppName("Simple Application")
                          .setMaster("spark://MacBook-Pro.local:7077")
    val sc = new SparkContext(conf)

    val logFile = "README.md"
    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("Lines with a: %s, Lines with b: %s".format(numAs, numBs))
  }
}

运行这个简单的应用程序给我的错误信息师父没有响应

Running this simple app gives me error message that Master is unresponsive

15/02/15 09:47:47 INFO AppClient$ClientActor: Connecting to master spark://MacBook-Pro.local:7077...
15/02/15 09:47:48 WARN ReliableDeliverySupervisor: Association with remote system [akka.tcp://[e-mail]:7077] has failed, address is now gated for [5000] ms. Reason is: [Disassociated].
15/02/15 09:48:07 INFO AppClient$ClientActor: Connecting to master spark://MacBook-Pro.local:7077...
15/02/15 09:48:07 WARN ReliableDeliverySupervisor: Association with remote system [akka.tcp://[e-mail]:7077] has failed, address is now gated for [5000] ms. Reason is: [Disassociated].
15/02/15 09:48:27 INFO AppClient$ClientActor: Connecting to master spark://MacBook-Pro.local:7077...
15/02/15 09:48:27 WARN ReliableDeliverySupervisor: Association with remote system [akka.tcp://[e-mail]:7077] has failed, address is now gated for [5000] ms. Reason is: [Disassociated].
15/02/15 09:48:47 ERROR SparkDeploySchedulerBackend: Application has been killed. Reason: All masters are unresponsive! Giving up.
15/02/15 09:48:47 WARN SparkDeploySchedulerBackend: Application ID is not initialized yet.
15/02/15 09:48:47 ERROR TaskSchedulerImpl: Exiting due to error from cluster scheduler: All masters are unresponsive! Giving up.

任何想法是什么问题？
谢谢

Any idea what is the problem? Thanks

推荐答案

您可以致电时火花提交，或（如你在这里所做的设置主）由通过 SparkConf 明确设置它。尝试下面的星火配置文档的例子，并设置作为主如下：

You can either set the master when calling spark-submit, or (as you've done here) by explicitly setting it via the SparkConf. Try following the example in the Spark Configuration docs, and setting the master as follows:

VAL的conf =新SparkConf（）。setMaster（本地[2]）

在同一页面（解释括号中的数字后面本地）：请注意，我们与当地的[2]，这意味着两个线程运行 - 这重新presents最小的并行性，可以帮助检测bug，只有当我们在分布式环境中运行存在。

From the same page (explaining the number in brackets that follows local): "Note that we run with local[2], meaning two threads - which represents "minimal" parallelism, which can help detect bugs that only exist when we run in a distributed context."

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