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From "Wei Yan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-7672) hadoop-sls can not simulate huge scale of YARN
Date Wed, 20 Dec 2017 16:22:02 GMT

    [ https://issues.apache.org/jira/browse/YARN-7672?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16298689#comment-16298689

Wei Yan commented on YARN-7672:

bq. All of NM and AM simulators are all cpu type of task. So cpu.load will go up to 100+ (only
32 cores) And as we know, Scheduler will also use one process for allocating resources.

So in that case, even separating into two hosts, the host running NM/AM simulators still hit
the CPU bottleneck, right? Although the Scheduler doesn't need to compete with simulators.

Another interesting idea is to launch a large MapReduce job (like 5000 containers), each container
runs as NM/AM simulator, to issue requests to the real RM. similar to the idea for HDFS [Dynamometer
| https://lists.apache.org/thread.html/7223d22fbc26e055369695f83395e9a7767043f7245af25df385b535@%3Chdfs-dev.hadoop.apache.org%3E].
But this involves more complext setup..

> 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
> 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

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