scala – Spark错误：初始作业未接受任何资源;检查群集UI以确保

我运行了./sbin/start-all.sh来运行主服务器和从服务器.

当我这样做./bin/spark-shell –master spark：//192.168.43.27：7077 –driver-memory 600m –executor-memory 600m –executor-cores 1在机器本身,任务的状态是RUNNING和我能够在spark shell中计算代码.

当我从网络中的另一台机器执行完全相同的命令时,状态再次为“RUNNING”,但spark-shell抛出WARN TaskSchedulerImpl：初始作业未接受任何资源;检查群集UI以确保工作人员已注册并具有足够的资源.我想问题与资源没有直接关系,因为相同的命令在虚拟机本身中起作用,但在来自其他机器时却不起作用.

我查看了与此错误相关的大多数主题,但没有一个解决了我的问题.我甚至禁用防火墙和sudo ufw禁用只是为了确保但没有成功(基于this link)这暗示：

Disable Firewall on the client : This was the solution that worked for me. Since I was working on a prototype in-house code,I disabled the firewall on the client node. For some reason the worker nodes,were not able to talk back to the client for me. For production purposes,you would want to open-up certain number of ports required.