AWS EMR错误：作业流程中的所有从属都已终止

我在Amazon AWS上使用Elastic Mapreduce基础结构。流量自动终止。根据亚马逊控制台的最后状态更改原因是：“作业流程中的所有奴隶都已终止”。AWS EMR错误：作业流程中的所有从属都已终止

创建jobflow命令：

elastic-mapreduce --create --name MyCluster --alive --instance-group master --instance-type m1.xlarge --instance-count 1 --bid-price 2.0 --instance-group core --instance-type m1.xlarge --instance-count 10 --bid-price 2.0 --hive-interactive --enable-debugging

详情约jobflow：日志 enter image description here

最后几行...

Total MapReduce jobs = 2 
Launching Job 1 out of 2 
Number of reduce tasks not specified. Estimated from input data size: 1 
In order to change the average load for a reducer (in bytes): 
    set hive.exec.reducers.bytes.per.reducer=<number> 
In order to limit the maximum number of reducers: 
    set hive.exec.reducers.max=<number> 
In order to set a constant number of reducers: 
    set mapred.reduce.tasks=<number> 
Starting Job = job_201310231204_0099, Tracking URL = http://ip-10-197-16-105.us-west-1.compute.internal:9100/jobdetails.jsp?jobid=job_201310231204_0099 
Kill Command = /home/hadoop/bin/hadoop job -Dmapred.job.tracker=10.197.16.105:9001 -kill job_201310231204_0099 
2013-10-23 14:11:38,618 Stage-1 map = 0%, reduce = 0% 
2013-10-23 14:11:48,741 Stage-1 map = 100%, reduce = 0%

正如你可以在上面记录看到，没有错误如此引发。

我想原因是

我认为，这是因为发生在价格OD现场情况突然增加。更多细节在我的答案下面。

来源

2013-10-23 Mayank Jaiswal