030 Job Run YARN in hadoop

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  • Опубліковано 18 лип 2015
  • Job Run

КОМЕНТАРІ • 26

  • @chamrc
    @chamrc 8 років тому

    Excellent ...I love the way of speaking and diagram... very profound.

  • @basubasu7811
    @basubasu7811 7 років тому

    your content is very precise.. Good job guys

  • @ajithshetty1361
    @ajithshetty1361 7 років тому +2

    Wonderful way of explaining and loved the presentation. Disappointing to see that it has got less views. Its far better than the other hadoop videos you find in UA-cam.

    • @videoonlinelearning
      @videoonlinelearning  7 років тому

      +Ajith Shetty thanks ajith, pls forward our links to your friends and colleagues. It will help us to grow faster

  • @poojaduggal1
    @poojaduggal1 7 років тому

    Excellent video series! Great job.

    • @videoonlinelearning
      @videoonlinelearning  7 років тому

      +Pooja Duggal thanks Pooja, forward our channel to more audience. We will chime soon with new learning videos

  • @user-sw9kd9pv4n
    @user-sw9kd9pv4n 3 роки тому

    Best yarn explanation 👍

  • @zaheerahmed1581
    @zaheerahmed1581 9 років тому

    great and clear expalnation:)

  • @quadribrothers4396
    @quadribrothers4396 2 роки тому

    Very nice vedio.m as many thanks for making such informative video

  • @tdkboxster
    @tdkboxster 7 років тому

    Perfectly done. Best videos and very concise.

    • @videoonlinelearning
      @videoonlinelearning  7 років тому

      +Dev T thanks dev t. Pls ask your friends to subscribe too. I am working on spark these days. Will publish class schedule soon

  • @secretsayanTravels
    @secretsayanTravels 8 років тому

    clear and precise

  • @moulich7372
    @moulich7372 7 років тому

    best video i have seen so far :)

  • @rayanshayan6897
    @rayanshayan6897 7 років тому

    Very nice explanation. exactly how I was looking for better understanding of full picture. Thank you..

    • @videoonlinelearning
      @videoonlinelearning  7 років тому

      +Rayan Abdul Rasheed thanks rayan for appreciating comment. Pls ask you friends and colleagues to subscribe. Will help us to grow faster

  • @vikki5329
    @vikki5329 4 роки тому

    Nice explanation can you please show one practical example on deploying one application to resource manager

  • @justinsirf1
    @justinsirf1 7 років тому

    thanks guy , forward it to your friend. it will help us to grow fast

  • @jerchinn
    @jerchinn 7 років тому +1

    Application Manager that is found in the "Resource Manager" is not not given importance in this Video - Where it plays a role in this total job execution cycle - Could you please few more pointers for it -on how it plays a role in job execution ?

  • @saisravani2625
    @saisravani2625 3 роки тому

    Anatomy of map reduce job means

  • @gerardoordonez8552
    @gerardoordonez8552 2 роки тому

    What´s mean NO CHILD HADOOP JOB IS EXCECUTED?

  • @kiransargar6453
    @kiransargar6453 6 років тому

    Very precise.... Just 1 doubt.... Jobclient is copying the resources to hdfs.... Wat is mean by resources here??

    • @mejesh1
      @mejesh1 6 років тому

      I too have same doubt :-)

    • @shyamalavenkat8887
      @shyamalavenkat8887 5 років тому

      I think resouces refer to job specific configuration files and other jar files which are copied to hdfs and from der data nodes can have access to those while executing these jobs.

  • @ganeshgokhale1657
    @ganeshgokhale1657 4 роки тому

    1. i have some doubt how to job client is copy resources in hdfs & how to know it the data location.
    2. how to get job id first without submitting job.
    3. how to retrieved java child resources in hdfs directly and how to know java child to exactly where the resources is stored.
    4. after job is completed how to application master directly contact with client without via resource manager.