无法启动Apache Spark 2.1.1的工作节点[重复]

Question

我无法启动Apache Spark 2.1.1的工作节点（我只有一个节点设置，我的主服务器和工作服务器将运行在同一台主机上），以下是日志：

$ ./start-all.sh

启动org.apache.spark.deploy.master.master,登录到/home/kedar/software/spark/logs/spark-kedar-org.apache.spark.deploy.master.master-1-myhost.out localhost:启动org.apache.spark.deploy.worker.worker,登录到

以下是日志：

$ cat /home/kedar/software/spark/logs/spark-kedar-org.apache.spark.deploy.worker.Worker-1-myhost.out

线程“main”java.lang.unsupportedClassVersionError：org/apache/spark/launcher/main：不支持major.minor版本52.0在java.lang.ClassLoader.defineClass1（本机方法）在java.lang.ClassLoader.defineClass（ClassLoader.java:803)在java.security.secureClassLoader.defineClass（SecureClassLoader.java:142)在java.net.urlClassLoader.defineClass（

感谢任何帮助！谢谢！

Answer 1

问题是我的java替代方案指向了错误的java版本，下面是在ubuntu上解决问题的步骤，正如我们所看到的，火花也成功地开始了：

kedar@myhost:/opt$ sudo update-alternatives --install "/usr/bin/javac" "javac" "/opt/jdk1.8.0_72/bin/javac"
javac
kedar@myhost:/opt$ sudo update-alternatives --install "/usr/bin/javac" "javac" "/opt/jdk1.8.0_72/bin/javac" 1
kedar@myhost:/opt$ ll javac
ls: cannot access javac: No such file or directory
kedar@myhost:/opt$ sudo update-alternatives --config java
There is only one alternative in link group java (providing /usr/bin/java): /usr/lib/jvm/java-7-openjdk-amd64/jre/bin/java
Nothing to configure.
kedar@myhost:/opt$ sudo update-alternatives --config javac
There are 2 choices for the alternative javac (providing /usr/bin/javac).

  Selection    Path                                         Priority   Status
------------------------------------------------------------
* 0            /usr/lib/jvm/java-7-openjdk-amd64/bin/javac   1071      auto mode
  1            /opt/jdk1.8.0_72/bin/javac                    1         manual mode
  2            /usr/lib/jvm/java-7-openjdk-amd64/bin/javac   1071      manual mode

Press enter to keep the current choice[*], or type selection number: 1       
update-alternatives: using /opt/jdk1.8.0_72/bin/javac to provide /usr/bin/javac (javac) in manual mode
kedar@myhost:/opt$ sudo update-alternatives --config javac
There are 2 choices for the alternative javac (providing /usr/bin/javac).

  Selection    Path                                         Priority   Status
------------------------------------------------------------
  0            /usr/lib/jvm/java-7-openjdk-amd64/bin/javac   1071      auto mode
* 1            /opt/jdk1.8.0_72/bin/javac                    1         manual mode
  2            /usr/lib/jvm/java-7-openjdk-amd64/bin/javac   1071      manual mode

Press enter to keep the current choice[*], or type selection number: kedar@myhost:/opt$ 
kedar@myhost:/opt$ 
kedar@myhost:/opt$ 
kedar@myhost:/opt$ sudo update-alternatives --install "/usr/bin/java" "java" "/opt/jdk1.8.0_72/bin/java" 1
kedar@myhost:/opt$ ll javac
ls: cannot access javac: No such file or directory
kedar@myhost:/opt$ sudo update-alternatives --config java
There are 2 choices for the alternative java (providing /usr/bin/java).

  Selection    Path                                            Priority   Status
------------------------------------------------------------
* 0            /usr/lib/jvm/java-7-openjdk-amd64/jre/bin/java   1071      auto mode
  1            /opt/jdk1.8.0_72/bin/java                        1         manual mode
  2            /usr/lib/jvm/java-7-openjdk-amd64/jre/bin/java   1071      manual mode

Press enter to keep the current choice[*], or type selection number: 1
update-alternatives: using /opt/jdk1.8.0_72/bin/java to provide /usr/bin/java (java) in manual mode
kedar@myhost:/opt$ cd
kedar@myhost:~$ cd $SPARK_HOME
kedar@myhost:~/software/spark$ ./sbin/stop-all.sh 
localhost: no org.apache.spark.deploy.worker.Worker to stop
stopping org.apache.spark.deploy.master.Master
kedar@myhost:~/software/spark$ ./sbin/start-all.sh 
starting org.apache.spark.deploy.master.Master, logging to /home/kedar/software/spark/logs/spark-kedar-org.apache.spark.deploy.master.Master-1-myhost.out
localhost: starting org.apache.spark.deploy.worker.Worker, logging to /home/kedar/software/spark/logs/spark-kedar-org.apache.spark.deploy.worker.Worker-1-myhost.out