i think that's because you don't have enough resource. u can tune your cluster config to maximize your resource.

On 19/08/16 11:03, rammohan ganapavarapu wrote:
I dont see any thing odd except this not sure if i have to worry about it or not.

2016-08-19 03:29:26,621 INFO [main] org.apache.hadoop.yarn.client.RMProxy: Connecting to ResourceManager at /0.0.0.0:8030 <http://0.0.0.0:8030> 2016-08-19 03:29:27,646 INFO [main] org.apache.hadoop.ipc.Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8030 <http://0.0.0.0/0.0.0.0:8030>. Already tried 0 time(s); retry policy is RetryUpToMaximumCo
untWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)
2016-08-19 03:29:28,647 INFO [main] org.apache.hadoop.ipc.Client: Retrying connect to server: 0.0.0.0/0.0.0.0:8030 <http://0.0.0.0/0.0.0.0:8030>. Already tried 1 time(s); retry policy is RetryUpToMaximumCountWithFixedSleep(maxRetries=10, sleepTime=1000 MILLISECONDS)


its keep printing this log ..in app container logs.

On Thu, Aug 18, 2016 at 8:20 PM, tkg_cangkul <[email protected] <mailto:[email protected]>> wrote:

    maybe u can check the logs from port 8088 on your browser. that
    was RM UI. just choose your job id and then check the logs.

    On 19/08/16 10:14, rammohan ganapavarapu wrote:
    Sunil,

    Thanks you for your input, below are my server metrics for RM.
    Also attached RM UI for capacity scheduler resources. How else i
    can find?

    {
          "name":
    "Hadoop:service=ResourceManager,name=QueueMetrics,q0=root",
          "modelerType": "QueueMetrics,q0=root",
          "tag.Queue": "root",
          "tag.Context": "yarn",
          "tag.Hostname": "hadoop001",
          "running_0": 0,
          "running_60": 0,
          "running_300": 0,
          "running_1440": 0,
          "AppsSubmitted": 1,
          "AppsRunning": 0,
          "AppsPending": 0,
          "AppsCompleted": 0,
          "AppsKilled": 0,
          "AppsFailed": 1,
          "AllocatedMB": 0,
          "AllocatedVCores": 0,
          "AllocatedContainers": 0,
          "AggregateContainersAllocated": 2,
          "AggregateContainersReleased": 2,
          "AvailableMB": 64512,
          "AvailableVCores": 24,
          "PendingMB": 0,
          "PendingVCores": 0,
          "PendingContainers": 0,
          "ReservedMB": 0,
          "ReservedVCores": 0,
          "ReservedContainers": 0,
          "ActiveUsers": 0,
          "ActiveApplications": 0
        },

    On Thu, Aug 18, 2016 at 6:49 PM, Sunil Govind
    <[email protected] <mailto:[email protected]>> wrote:

        Hi

        It could be because of many of reasons. Also I am not sure
        about which scheduler your are using, pls share more details
        such as RM log etc.

        I could point out few reasons
         - Such as "Not enough resource is cluster" can cause this
         - If using Capacity Scheduler, if queue capacity is maxed
        out, such case can happen.
         - Similarly if max-am-resource-percent is crossed per queue
        level, then also AM container may not be launched.

        you could check RM log to get more information if AM
        container is laucnhed.

        Thanks
        Sunil

        On Fri, Aug 19, 2016 at 5:37 AM rammohan ganapavarapu
        <[email protected] <mailto:[email protected]>> wrote:

            Hi,

            When i submit a MR job, i am getting this from AM UI but
            it never get finished, what am i missing ?

            Thanks,
            Ram




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