032 Job Scheduling in MapReduce in hadoop

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  • Опубліковано 25 сер 2024

КОМЕНТАРІ • 16

  • @ApnaTechGurukul
    @ApnaTechGurukul 5 років тому +2

    Your explanations are awesome bhai sahab

  • @kohilat3030
    @kohilat3030 4 роки тому

    good explanation with simulation

  • @govind6198
    @govind6198 8 років тому

    awesome xplanation

  • @vijayandramahadik2662
    @vijayandramahadik2662 7 років тому +3

    Referring to "Hadoop: The Definitive Guide, 4th Edition" book,
    Scheduler Options
    Three schedulers are available in YARN: the FIFO, Capacity, and Fair Schedulers.
    Please make correction in the video where you mention that MRv2 has only Capacity and Fair Scheduler!

  • @murugaanand803
    @murugaanand803 5 років тому

    Nice tutorial

  • @suburocking
    @suburocking 8 років тому +1

    The default scheduler for MR2 is Fair and not Capacity

  • @pateljay_9
    @pateljay_9 7 років тому

    How Resource Manager Decide in Capacity Scheduler , which Job will run on which Queue ?

  • @Thanusree234
    @Thanusree234 Рік тому

    u are just reading it out where is the explanation...

  • @balachandra8041
    @balachandra8041 6 років тому

    How to set the priority to the job... Please give us reply

  • @spearchew
    @spearchew 3 роки тому

    still not clear to me capacity vs fair. anyone else confused? they're the same ...

  • @SURESHREDDY-bh8rl
    @SURESHREDDY-bh8rl 8 років тому

    Please refer hadoop definitive guide 4 ..
    The Capacity Scheduler never preempt containers by forcibly killing them..

    • @indowestlife
      @indowestlife 8 років тому

      Thanks bro! But read it properly...by default, when the
      preemption is enabled (yarn.resourcemanager.scheduler.monitor.enable is
      set to true in yarn-site.xml) for capacity schedulers. I found that preemption is quite important at many other places such as dmtolpeko.com/2014/10/10/capacity-scheduler-preemption-tuning/ and

  • @Thanusree234
    @Thanusree234 Рік тому

    explanation is horrible i wasted my time