How much total virtual cores are required to process 100GB of data in spark











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For example if i choose 16 vcore with 10 worker nodes, so 16-1 (one core to store the hadoop daemons) * 10 (worker nodes) = 150 vcores (Total).
Is it safe to say that 150 vcores are required to process 100GB of data?
or is there any calculation should i need to consider before choosing the vcore?






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    up vote
    -2
    down vote

    favorite












    For example if i choose 16 vcore with 10 worker nodes, so 16-1 (one core to store the hadoop daemons) * 10 (worker nodes) = 150 vcores (Total).
    Is it safe to say that 150 vcores are required to process 100GB of data?
    or is there any calculation should i need to consider before choosing the vcore?






    apache-spark







    share|improve this question
























      up vote
      -2
      down vote

      favorite









      up vote
      -2
      down vote

      favorite











      For example if i choose 16 vcore with 10 worker nodes, so 16-1 (one core to store the hadoop daemons) * 10 (worker nodes) = 150 vcores (Total).
      Is it safe to say that 150 vcores are required to process 100GB of data?
      or is there any calculation should i need to consider before choosing the vcore?






      apache-spark







      share|improve this question













      For example if i choose 16 vcore with 10 worker nodes, so 16-1 (one core to store the hadoop daemons) * 10 (worker nodes) = 150 vcores (Total).
      Is it safe to say that 150 vcores are required to process 100GB of data?
      or is there any calculation should i need to consider before choosing the vcore?






      apache-spark




      apache-spark






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      asked Nov 11 at 0:13









      Ram

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          Number of Core in each node:-
          A thumb rule is to use core per task. If tasks are not that much heavy then we can allocate 0.75 core per task.
          Say if the machine is 16 Core then we can run at most 16 + (.25 of 16) = 20 tasks; 0.25 of 16 is added with the assumption that 0.75 per core is getting used.



          Probably this link can help you better:
          https://data-flair.training/forums/topic/hadoop-cluster-hardware-planning-and-provisioning/






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            Number of Core in each node:-
            A thumb rule is to use core per task. If tasks are not that much heavy then we can allocate 0.75 core per task.
            Say if the machine is 16 Core then we can run at most 16 + (.25 of 16) = 20 tasks; 0.25 of 16 is added with the assumption that 0.75 per core is getting used.



            Probably this link can help you better:
            https://data-flair.training/forums/topic/hadoop-cluster-hardware-planning-and-provisioning/






            share|improve this answer

























              up vote
              -1
              down vote













              Number of Core in each node:-
              A thumb rule is to use core per task. If tasks are not that much heavy then we can allocate 0.75 core per task.
              Say if the machine is 16 Core then we can run at most 16 + (.25 of 16) = 20 tasks; 0.25 of 16 is added with the assumption that 0.75 per core is getting used.



              Probably this link can help you better:
              https://data-flair.training/forums/topic/hadoop-cluster-hardware-planning-and-provisioning/






              share|improve this answer























                up vote
                -1
                down vote










                up vote
                -1
                down vote









                Number of Core in each node:-
                A thumb rule is to use core per task. If tasks are not that much heavy then we can allocate 0.75 core per task.
                Say if the machine is 16 Core then we can run at most 16 + (.25 of 16) = 20 tasks; 0.25 of 16 is added with the assumption that 0.75 per core is getting used.



                Probably this link can help you better:
                https://data-flair.training/forums/topic/hadoop-cluster-hardware-planning-and-provisioning/






                share|improve this answer












                Number of Core in each node:-
                A thumb rule is to use core per task. If tasks are not that much heavy then we can allocate 0.75 core per task.
                Say if the machine is 16 Core then we can run at most 16 + (.25 of 16) = 20 tasks; 0.25 of 16 is added with the assumption that 0.75 per core is getting used.



                Probably this link can help you better:
                https://data-flair.training/forums/topic/hadoop-cluster-hardware-planning-and-provisioning/







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 11 at 10:50









                swapnil shashank

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