我想将笔记本电脑中的Spark应用程序以独立模式提交给Spark群集。它们位于同一网络中，并具有可路由的IP地址。
如果我在笔记本电脑上禁用防火墙，我可以让它工作。但是，如果我启用了防火墙，则在尝试连接到主节点时会失败。以下错误消息似乎表明驱动程序无法获取任何资源。
WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
接下来，我尝试在我的驱动程序中设置spark.driver.port。然后我打开驱动程序机器上的特定端口。这超过了第一个错误，但给了我一个新的错误。
WARN TaskSetManager: Lost task 3.0 in stage 0.0 (TID 3, 172.31.51.158): java.net.SocketTimeoutException: connect timed out
at java.net.PlainSocketImpl.socketConnect(Native Method)
at java.net.AbstractPlainSocketImpl.doConnect(AbstractPlainSocketImpl.java:350)
at java.net.AbstractPlainSocketImpl.connectToAddress(AbstractPlainSocketImpl.java:206)
at java.net.AbstractPlainSocketImpl.connect(AbstractPlainSocketImpl.java:188)
at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:392)
at java.net.Socket.connect(Socket.java:589)
at sun.net.NetworkClient.doConnect(NetworkClient.java:175)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:432)
at sun.net.www.http.HttpClient.openServer(HttpClient.java:527)
at sun.net.www.http.HttpClient.<init>(HttpClient.java:211)
at sun.net.www.http.HttpClient.New(HttpClient.java:308)
at sun.net.www.http.HttpClient.New(HttpClient.java:326)
at sun.net.www.protocol.http.HttpURLConnection.getNewHttpClient(HttpURLConnection.java:1168)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect0(HttpURLConnection.java:1104)
at sun.net.www.protocol.http.HttpURLConnection.plainConnect(HttpURLConnection.java:998)
at sun.net.www.protocol.http.HttpURLConnection.connect(HttpURLConnection.java:932)
at org.apache.spark.util.Utils$.doFetchFile(Utils.scala:555)
at org.apache.spark.util.Utils$.fetchFile(Utils.scala:356)
at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$3.apply(Executor.scala:393)
at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$3.apply(Executor.scala:390)
at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at scala.collection.mutable.HashMap$$anonfun$foreach$1.apply(HashMap.scala:98)
at scala.collection.mutable.HashTable$class.foreachEntry(HashTable.scala:226)
at scala.collection.mutable.HashMap.foreachEntry(HashMap.scala:39)
at scala.collection.mutable.HashMap.foreach(HashMap.scala:98)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
at org.apache.spark.executor.Executor.org$apache$spark$executor$Executor$$updateDependencies(Executor.scala:390)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:193)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
似乎主人和驱动程序能够使用spark.driver.port来启动某些功能，但稍后会失败？它似乎仍然是某种网络问题。