恰好1小时后，我们的 yarn 就杀死了所有正在运行的工作。
不管是spark还是Sqoop作业(mapreduce)都没有关系。
寻找有关潜在原因的建议。
我们在4节点群集上使用HDP 2.5.x hadoop分发。
这就是我执行sqoop工作的方式
nohup sqoop-import -D mapred.task.timeout=0 --direct --connect jdbc:oracle:thin:@HOST:Port:DB --username USERNAME --password PASS --target-dir /prod/directory --table TABLE_NAME --verbose -m 25 --split-by TABLE_NAME.COLUMN --as-parquetfile --fields-terminated-by "\t" > temp.log 2>&1 &
它说的如下
16/11/26 01:40:49 INFO mapreduce.Job: map 42% reduce 0%
16/11/26 01:41:44 INFO mapreduce.Job: map 0% reduce 0%
16/11/26 01:41:44 INFO mapreduce.Job: Job job_1480141487938_0001 failed with state KILLED due to: Application killed by user.
16/11/26 01:41:44 INFO mapreduce.Job: Counters: 0
16/11/26 01:41:44 WARN mapreduce.Counters: Group FileSystemCounters is deprecated. Use org.apache.hadoop.mapreduce.FileSystemCounter instead
16/11/26 01:41:44 INFO mapreduce.ImportJobBase: Transferred 0 bytes in 3,628.6498 seconds (0 bytes/sec)
16/11/26 01:41:44 WARN mapreduce.Counters: Group org.apache.hadoop.mapred.Task$Counter is deprecated. Use org.apache.hadoop.mapreduce.TaskCounter instead
16/11/26 01:41:44 INFO mapreduce.ImportJobBase: Retrieved 0 records.
16/11/26 01:41:44 DEBUG util.ClassLoaderStack: Restoring classloader: sun.misc.Launcher$AppClassLoader@131276c2
16/11/26 01:41:44 ERROR tool.ImportTool: Error during import: Import job failed!
yarn 应用日志
yarn logs -applicationId application_1480141487938_0001|grep -B2 -A10 "ERROR "
16/11/26 03:05:39 INFO impl.TimelineClientImpl: Timeline service address: http://HostName:8188/ws/v1/timeline/
16/11/26 03:05:39 INFO client.RMProxy: Connecting to ResourceManager at HostName/HostIp:8050
16/11/26 03:05:39 INFO client.AHSProxy: Connecting to Application History server at HostName/HostIp:10200
16/11/26 03:05:40 INFO zlib.ZlibFactory: Successfully loaded & initialized native-zlib library
16/11/26 03:05:40 INFO compress.CodecPool: Got brand-new decompressor [.deflate]
2016-11-26 00:41:33,284 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerRequestor: getResources() for application_1480141487938_0001: ask=1 release= 2 newContainers=0 finishedContainers=2 resourcelimit=<memory:20480, vCores:1> knownNMs=4
2016-11-26 00:41:33,285 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Received completed container container_e09_1480141487938_0001_01_000028
2016-11-26 00:41:33,285 ERROR [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container complete event for unknown container id container_e09_1480141487938_0001_01_000028
2016-11-26 00:41:33,285 INFO [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Received completed container container_e09_1480141487938_0001_01_000029
2016-11-26 00:41:33,285 ERROR [RMCommunicator Allocator] org.apache.hadoop.mapreduce.v2.app.rm.RMContainerAllocator: Container complete event for unknown container id container_e09_1480141487938_0001_01_000029
2016-11-26 00:41:33,686 INFO [Socket Reader #1 for port 41553] SecurityLogger.org.apache.hadoop.ipc.Server: Auth successful for job_1480141487938_0001 (auth:SIMPLE)
2016-11-26 00:41:33,697 INFO [IPC Server handler 6 on 41553] org.apache.hadoop.mapred.TaskAttemptListenerImpl: JVM with ID : jvm_1480141487938_0001_m_9895604650011 asked for a task
2016-11-26 00:41:33,698 INFO [IPC Server handler 6 on 41553] org.apache.hadoop.mapred.TaskAttemptListenerImpl: JVM with ID: jvm_1480141487938_0001_m_9895604650011 given task: attempt_1480141487938_0001_m_000024_0
2016-11-26 00:41:37,542 INFO [IPC Server handler 19 on 41553] org.apache.hadoop.mapred.TaskAttemptListenerImpl: Progress of TaskAttempt attempt_1480141487938_0001_m_000000_0 is : 0.0
2016-11-26 00:41:38,793 INFO [IPC Server handler 22 on 41553] org.apache.hadoop.mapred.TaskAttemptListenerImpl: Progress of TaskAttempt attempt_1480141487938_0001_m_000001_0 is : 0.0
2016-11-26 00:41:38,811 INFO [IPC Server handler 23 on 41553] org.apache.hadoop.mapred.TaskAttemptListenerImpl: Progress of TaskAttempt attempt_1480141487938_0001_m_000006_0 is : 0.0
2016-11-26 00:41:38,939 INFO [IPC Server handler 28 on 41553] org.apache.hadoop.mapred.TaskAttemptListenerImpl: Progress of TaskAttempt attempt_1480141487938_0001_m_000007_0 is : 0.0
2016-11-26 00:41:40,568 INFO [IPC Server handler 22 on 41553] org.apache.hadoop.mapred.TaskAttemptListenerImpl: Progress of TaskAttempt attempt_1480141487938_0001_m_000000_0 is : 0.0
2016-11-26 00:41:41,812 INFO [IPC Server handler 24 on 41553] org.apache.hadoop.mapred.TaskAttemptListenerImpl: Progress of TaskAttempt attempt_1480141487938_0001_m_000001_0 is : 0.0
2016-11-26 00:41:41,832 INFO [IPC Server handler 25 on 41553] org.apache.hadoop.mapred.TaskAttemptListenerImpl: Progress of TaskAttempt attempt_1480141487938_0001_m_000006_0 is : 0.0
Rm审核日志
2016-11-26 01:41:43,359 INFO resourcemanager.RMAuditLogger: USER=yarn IP=HostIp OPERATION=Kill Application Request TARGET=ClientRMService RESULT=SUCCESS APPID=application_1480141487938_0001 CALLERCONTEXT=CLI
我已经将可以在Ambari中找到的每个值从3600修改为一个更大的值，重新启动了集群并重新运行了脚本。在1个小时后，无论是sqoop和spark作业，工作仍然被杀死。
编辑:
yarn logs -show_application_log_info -applicationId application_1480141487938_0001
仅显示从1到27的容器ID。那么，在哪里可以找到容器28和29的日志/错误？
最佳答案
我们永远无法完全隔离问题，只能解决与网络有关的问题。
即使我将所有可能的参数从3600增加到更多，结果也是如此，在客户端/节点侧，某种心跳设置为3600秒，并且没有更新。
因此，基本上，在将近一个小时后，心跳将尝试进行通信，失败，并且AM将杀死完整的工作。
由于hadoop，Hortonworks和Cloudera的文档确实缺少每个版本都需要/应该启用的每个特定端口和协议(protocol)规范，因此我们最终不得不关闭iptables来解决此问题。
关于hadoop - yarn 在1小时后准确无误地自动杀死所有作业，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/40816743/