spark提交application，Initial job has not accepted any resources

spark-submit提交程序，一直处于waiting状态
日志打印：
16/05/19 09:10:29 INFO scheduler.TaskSchedulerImpl: Adding task set 0.0 with 1 tasks
16/05/19 09:10:44 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/19 09:10:59 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/19 09:11:14 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/19 09:11:29 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/19 09:11:44 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/19 09:11:59 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/19 09:12:14 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources
16/05/19 09:12:29 WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient resources



求指点是什么问题导致的。是系统资源不够吗

是否内存过小

qcbb001 发表于 2016-5-19 09:58
是否内存过小

指的什么内存？是系统内存还是进程可用内存

1、WARN TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster uito ensure that workers are registered and have sufficient memory
当前的集群的可用资源不能满足应用程序所请求的资源。
资源分2类： cores 和 ram
Core代表对执行可用的executor slots
Ram代表每个Worker上被需要的空闲内存来运行你的Application。
解决方法：
应用不要请求多余空闲可用资源的
关闭掉已经执行结束的Application


来自
Spark 常见问题小结
http://www.aboutyun.com/forum.php?mod=viewthread&tid=9946

检测下防火墙 ，客户端是否开启对80端口的访问，是否开启了spark的端口等

只看看

资源不够，内存太小了

楼主可以用命令查一下机器的空闲内存

我遇到过  是你的内存不够 不是太小 我估计你是用虚拟机给整的，你关掉windows的那些没用的进程，然后启动sparkshell 的时候，记得将executor的大小设置一下 不要超过自己所给的内存