spark-submit无法连接

时间：2018-06-14 15:12:49

标签： apache-spark hadoop yarn

运行命令后

spark-submit --class org.apache.spark.examples.SparkPi --proxy-user yarn --master yarn --deploy-mode cluster --driver-memory 4g --executor-memory 2g --executor-cores 1 --queue default ./examples/jars/spark-examples_2.11-2.3.0.jar 10000

我在输出中得到它并继续重试。我哪里错了？我错过了一些配置吗？

我为yarn创建了一个新用户并运行该用户。 

WARN  Utils:66 - Your hostname, ukaleem-HP-EliteBook-850-G3 resolves to a loopback address: 127.0.1.1; using 10.XX.XX.XX instead (on interface enp0s31f6)
2018-06-14 16:50:41 WARN  Utils:66 - Set SPARK_LOCAL_IP if you need to bind to another address
Warning: Local jar /home/yarn/Documents/Scala-Examples/./examples/jars/spark-examples_2.11-2.3.0.jar does not exist, skipping.
2018-06-14 16:50:42 INFO  RMProxy:98 - Connecting to ResourceManager at /0.0.0.0:8032
2018-06-14 16:50:44 INFO  Client:871 - Retrying connect to server: 0.0.0.0/0.0.0.0:8032. Already tried 0 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)

最后，它给出了异常

    Exception in thread "main" java.net.ConnectException: Call From ukaleem-HP-EliteBook-850-G3/127.0.1.1 to 0.0.0.0:8032 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
    at sun.reflect.GeneratedConstructorAccessor4.newInstance(Unknown Source)
    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
    at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
    at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:792)
    at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:732)
    at org.apache.hadoop.ipc.Client.call(Client.java:1479)
    at org.apache.hadoop.ipc.Client.call(Client.java:1412)
    at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
    at com.sun.proxy.$Proxy8.getClusterMetrics(Unknown Source)
    at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.getClusterMetrics(ApplicationClientProtocolPBClientImpl.java:206)
    at sun.reflect.GeneratedMethodAccessor7.invoke(Unknown Source)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
    at com.sun.proxy.$Proxy9.getClusterMetrics(Unknown Source)
    at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.getYarnClusterMetrics(YarnClientImpl.java:487)
    at org.apache.spark.deploy.yarn.Client$$anonfun$submitApplication$1.apply(Client.scala:155)
    at org.apache.spark.deploy.yarn.Client$$anonfun$submitApplication$1.apply(Client.scala:155)
    at org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
    at org.apache.spark.deploy.yarn.Client.logInfo(Client.scala:59)
    at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:154)
    at org.apache.spark.deploy.yarn.Client.run(Client.scala:1146)
    at org.apache.spark.deploy.yarn.YarnClusterApplication.start(Client.scala:1518)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:879)
    at org.apache.spark.deploy.SparkSubmit$$anon$1.run(SparkSubmit.scala:179)
    at org.apache.spark.deploy.SparkSubmit$$anon$1.run(SparkSubmit.scala:177)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:422)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:177)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:227)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:136)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.net.ConnectException: Connection refused
    at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
    at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
    at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
    at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:531)
    at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:495)
    at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:614)
    at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:712)
    at org.apache.hadoop.ipc.Client$Connection.access$2900(Client.java:375)
    at org.apache.hadoop.ipc.Client.getConnection(Client.java:1528)
    at org.apache.hadoop.ipc.Client.call(Client.java:1451)
    ... 28 more
2018-06-14 17:10:53 INFO  ShutdownHookManager:54 - Shutdown hook called
2018-06-14 17:10:53 INFO  ShutdownHookManager:54 - Deleting directory /tmp/spark-5bddb7f3-165f-451c-8ab4-bb7729f4237c

编辑：将配置文件添加到我的spark / conf目录后，我现在收到此错误。

我添加的文件是

*芯-site.xml中

dfs.hosts

主人

从站

纱线的site.xml *

还有一些。据我所知，我只需要使用yarn-site.xml来告诉spark纱线簇的位置。 （ids，地址，主机名等）。

此时我一直在想，即使我们想在Yarn上提交作业，这些配置需要进入/ etc / Hadoop目录而不是Spark / conf。那么安装hadoop的目的是什么（除了通信）？ 并遵循这个问题。如果配置需要进入spark / conf，那么 HADOOP_CONF_DIR ＆amp; YARN_CONF_DIR 应该指向etc / hadoop dir或spark / conf？

    INFO client.ConfiguredRMFailoverProxyProvider: Failing over to rm2
18/06/19 11:04:50 INFO retry.RetryInvocationHandler: Exception while invoking getClusterMetrics of class ApplicationClientProtocolPBClientImpl over rm2 after 1 fail over attempts. Trying to fail over after sleeping for 38176ms.
java.net.ConnectException: Call From ukaleem-HP-EliteBook-850-G3/127.0.1.1 to svc-hadoop-mgnt-pre-c2-01.jamba.net:8032 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
    at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
    at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
    at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
    at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:792)
    at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:732)
    at org.apache.hadoop.ipc.Client.call(Client.java:1479)
    at org.apache.hadoop.ipc.Client.call(Client.java:1412)
    at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
    at com.sun.proxy.$Proxy13.getClusterMetrics(Unknown Source)
    at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.getClusterMetrics(ApplicationClientProtocolPBClientImpl.java:206)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:191)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
    at com.sun.proxy.$Proxy14.getClusterMetrics(Unknown Source)
    at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.getYarnClusterMetrics(YarnClientImpl.java:487)
    at org.apache.spark.deploy.yarn.Client$$anonfun$submitApplication$1.apply(Client.scala:155)
    at org.apache.spark.deploy.yarn.Client$$anonfun$submitApplication$1.apply(Client.scala:155)
    at org.apache.spark.internal.Logging$class.logInfo(Logging.scala:54)
    at org.apache.spark.deploy.yarn.Client.logInfo(Client.scala:59)
    at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:154)
    at org.apache.spark.deploy.yarn.Client.run(Client.scala:1146)
    at org.apache.spark.deploy.yarn.YarnClusterApplication.start(Client.scala:1518)
    at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:879)
    at org.apache.spark.deploy.SparkSubmit$$anon$1.run(SparkSubmit.scala:179)
    at org.apache.spark.deploy.SparkSubmit$$anon$1.run(SparkSubmit.scala:177)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:422)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1698)
    at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:177)
    at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:227)
    at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:136)
    at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.net.ConnectException: Connection refused
    at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
    at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
    at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
    at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:531)
    at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:495)
    at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:614)
    at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:712)
    at org.apache.hadoop.ipc.Client$Connection.access$2900(Client.java:375)
    at org.apache.hadoop.ipc.Client.getConnection(Client.java:1528)
    at org.apache.hadoop.ipc.Client.call(Client.java:1451)
    ... 29 more

2 个答案:

答案 0 :(得分：0)

假设您有一个完全分布的纱线群集：您的spark-submit脚本无法找到yarn resourcemanager（基本上是纱线主节点）的配置。确保在您的环境中正确设置HADOOP_CONF_DIR，并确保它指向群集的配置。特别是您的yarn-site.xml。

编辑：更多细节

hadoop软件包附带 server 和 client 软件。 服务器软件将是组成群集的许多守护进程。如果您的工作站充当客户端（使用该术语松散，与spark --deploy-mode不完全相关），那么hadoop 客户端软件必须知道网络位置在群集中运行的服务器守护程序。如果您的yarn-site.xml为空，那么它会从yarn-defauls.xml中提取它的默认值（我相信这是硬编码的。）

假设您的群集未在HA模式下运行，并且主要是默认配置，那么您的工作站yarn-site.xml应至少包含如下条目：

<property>
  <name>yarn.resourcemanager.hostname</name>
  <value>rm-host.yourdomain.com</value>
</property>

显然，将主机名替换为运行实际资源管理器的主机名。当然，任何与HDFS的火花交互都需要正确配置hdfs-site.xml等等。

某些集群管理软件会有类似“生成客户端配置”的内容（具体考虑我的cloudera体验），这将为您提供.tar.gz，其中所有配置文件都已正确填充，以便从外部访问集群工作站。

进一步的建议： 如果您打算在此群集中对纱线进行大量火花处理，那么spark建议您确保将external shuffle service配置为与纱线节点管理器一起启动。 （请注意，此配置指令必须出现在运行纱线节点管理器服务的yarn-site.xml中，而不是在您的工作站上。

答案 1 :(得分：-1)

如果您在本地计算机上运行，​​

更新您的/etc/hosts文件，输入127.0.0.1作为您的主机名。

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