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stefanlee commented on YARN-7672: --------------------------------- [~zsl2007] thanks for this jira. i have merged this patch to my hadoop version and there is a problem occurred during my testing. {code:java} 1. RM1 is active ,RM2 is standby 2. i run SLSRunnerForRealRM and my jobs will running in my cluster with correct user name and queue name. then: 1. RM1 is standby , RM2 is active 2. i run SLSRunnerForRealRM and my jobs will failover to RM2, then them will running in my cluster with the user who run SLSRunnerForRealRM. that is ,them will running in one queue. {code} i review the hadoop resource and found this prolem occurred in *ConfiguredRMFailoverProxyProivder.getProxyInternal->RMProxy.getProxy* {code:java} static <T> T getProxy(final Configuration conf, final Class<T> protocol, final InetSocketAddress rmAddress) throws IOException { return UserGroupInformation.getCurrentUser().doAs( new PrivilegedAction<T>() { @Override public T run() { return (T) YarnRPC.create(conf).getProxy(protocol, rmAddress, conf); } }); {code} here, it will *getCurrentUser()*, so we should come up with a solution to resolve it. > hadoop-sls can not simulate huge scale of YARN > ---------------------------------------------- > > Key: YARN-7672 > URL: https://issues.apache.org/jira/browse/YARN-7672 > Project: Hadoop YARN > Issue Type: Improvement > Reporter: zhangshilong > Assignee: zhangshilong > Attachments: YARN-7672.patch > > > Our YARN cluster scale to nearly 10 thousands nodes. We need to do scheduler > pressure test. > Using SLS,we start 2000+ threads to simulate NM and AM. But cpu.load very > high to 100+. I thought that will affect performance evaluation of > scheduler. > So I thought to separate the scheduler from the simulator. > I start a real RM. Then SLS will register nodes to RM,And submit apps to RM > using RM RPC. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org