两个resourcemanager都处于standby，zkfc无法切换resourcemanager_resoucemanager 高可用两个都是standby

该问题是对yarn-site.xml文件里的内存分配调整造成的，

当

强制变换yarn-resourcemanager为active报错

yarn rmadmin -transitionToActive  --forcemanual  rm1
You have specified the forcemanual flag. This flag is dangerous, as it can induce a split-brain scenario that WILL CORRUPT your HDFS namespace, possibly irrecoverably.


It is recommended not to use this flag, but instead to shut down the cluster and disable automatic failover if you prefer to manually manage your HA state.


You may abort safely by answering 'n' or hitting ^C now.


Are you sure you want to continue? (Y or N) Y
15/10/07 09:28:36 WARN ha.HAAdmin: Proceeding with manual HA state management even though
automatic failover is enabled for org.apache.hadoop.yarn.client.RMHAServiceTarget@51931956
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in [jar:file:/home/hcg/hadoop/hadoop-2.6.0/share/hadoop/common/lib/slf4j-log4j12-1.7.5.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in [jar:file:/home/hcg/hadoop/hadoop-2.6.0/share/hadoop/mapreduce/slf4j-log4j12-1.6.4.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]
Operation failed: Error when transitioning to Active mode
at org.apache.hadoop.yarn.server.resourcemanager.AdminService.transitionToActive(AdminService.java:304)
at org.apache.hadoop.ha.protocolPB.HAServiceProtocolServerSideTranslatorPB.transitionToActive(HAServiceProtocolServerSideTranslatorPB.java:107)
at org.apache.hadoop.ha.proto.HAServiceProtocolProtos$HAServiceProtocolService$2.callBlockingMethod(HAServiceProtocolProtos.java:4460)
at org.apache.hadoop.ipc.ProtobufRpcEngine$Server$ProtoBufRpcInvoker.call(ProtobufRpcEngine.java:619)
at org.apache.hadoop.ipc.RPC$Server.call(RPC.java:962)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2039)
at org.apache.hadoop.ipc.Server$Handler$1.run(Server.java:2035)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at org.apache.hadoop.ipc.Server$Handler.run(Server.java:2033)
Caused by: org.apache.hadoop.service.ServiceStateException: org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request, requested memory < 0, or requested memory > max configured, requestedMemory=4096, maxMemory=4000
at org.apache.hadoop.service.ServiceStateException.convert(ServiceStateException.java:59)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:204)
at org.apache.hadoop.yarn.server.resourcemanager.ResourceManager.startActiveServices(ResourceManager.java:999)
at org.apache.hadoop.yarn.server.resourcemanager.ResourceManager$1.run(ResourceManager.java:1036)
at org.apache.hadoop.yarn.server.resourcemanager.ResourceManager$1.run(ResourceManager.java:1032)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:422)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1628)
at org.apache.hadoop.yarn.server.resourcemanager.ResourceManager.transitionToActive(ResourceManager.java:1032)
at org.apache.hadoop.yarn.server.resourcemanager.AdminService.transitionToActive(AdminService.java:295)
... 10 more
Caused by: org.apache.hadoop.yarn.exceptions.InvalidResourceRequestException: Invalid resource request, requested memory < 0, or requested memory > max configured, requestedMemory=4096, maxMemory=4000
at org.apache.hadoop.yarn.server.resourcemanager.scheduler.SchedulerUtils.validateResourceRequest(SchedulerUtils.java:203)
at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.validateAndCreateResourceRequest(RMAppManager.java:377)
at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.createAndPopulateNewRMApp(RMAppManager.java:320)
at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.recoverApplication(RMAppManager.java:309)
at org.apache.hadoop.yarn.server.resourcemanager.RMAppManager.recover(RMAppManager.java:413)
at org.apache.hadoop.yarn.server.resourcemanager.ResourceManager.recover(ResourceManager.java:1192)
at org.apache.hadoop.yarn.server.resourcemanager.ResourceManager$RMActiveServices.serviceStart(ResourceManager.java:575)
at org.apache.hadoop.service.AbstractService.start(AbstractService.java:193)
... 18 more


解决方法：

将yarn-site.xml中的yarn.nodemanager.resource.memory-mb调大,要比yarn.scheduler.maximum-allocation-mb大

hdfs ha : $HADOOP_HOME/bin/hdfs  haadmin -failover --forcefence --forceactive  nn1  nn2

hadoop2.7.2