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How to set up the parameter of a spark job according to the available nodes?


How to get the best LINPACK result and conquer the Top500?Management of available file descriptors within a Hadoop clusterHow can set up a multi nodes job for a spark application through a batch file?






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0















How I can set the --num-executors, --executor-cores and --executor-memory through the slurm job in the following scenario:



Suppose I have 2 nodes with 32 cores and 128g each. The best configuration (I think) would be:



  1. Let’s assign 4 cores per executors => --executor-cores = 4.

  2. Leave 1 core per node for Hadoop/Yarn daemons => Num cores available per node = 32-1 = 31. So, Total available of cores in cluster = 31 x 2 = 62

  3. Number of available executors = (total cores/num-cores-per-executor) = 62/4 = 15

  4. Leaving 1 executor for ApplicationManager => --num-executors = 14

  5. Number of executors per node = 15/2 = 7

  6. Memory per executor = 127GB/7 = 18GB

  7. Counting off heap overhead = 7% of 18GB = 1.26GB~2g. So, actual --executor-memory = 18 - 2 = 16GB

So using this (optimal) configuration how can I set up these parameters in an Slurm job?










share|improve this question






























    0















    How I can set the --num-executors, --executor-cores and --executor-memory through the slurm job in the following scenario:



    Suppose I have 2 nodes with 32 cores and 128g each. The best configuration (I think) would be:



    1. Let’s assign 4 cores per executors => --executor-cores = 4.

    2. Leave 1 core per node for Hadoop/Yarn daemons => Num cores available per node = 32-1 = 31. So, Total available of cores in cluster = 31 x 2 = 62

    3. Number of available executors = (total cores/num-cores-per-executor) = 62/4 = 15

    4. Leaving 1 executor for ApplicationManager => --num-executors = 14

    5. Number of executors per node = 15/2 = 7

    6. Memory per executor = 127GB/7 = 18GB

    7. Counting off heap overhead = 7% of 18GB = 1.26GB~2g. So, actual --executor-memory = 18 - 2 = 16GB

    So using this (optimal) configuration how can I set up these parameters in an Slurm job?










    share|improve this question


























      0












      0








      0








      How I can set the --num-executors, --executor-cores and --executor-memory through the slurm job in the following scenario:



      Suppose I have 2 nodes with 32 cores and 128g each. The best configuration (I think) would be:



      1. Let’s assign 4 cores per executors => --executor-cores = 4.

      2. Leave 1 core per node for Hadoop/Yarn daemons => Num cores available per node = 32-1 = 31. So, Total available of cores in cluster = 31 x 2 = 62

      3. Number of available executors = (total cores/num-cores-per-executor) = 62/4 = 15

      4. Leaving 1 executor for ApplicationManager => --num-executors = 14

      5. Number of executors per node = 15/2 = 7

      6. Memory per executor = 127GB/7 = 18GB

      7. Counting off heap overhead = 7% of 18GB = 1.26GB~2g. So, actual --executor-memory = 18 - 2 = 16GB

      So using this (optimal) configuration how can I set up these parameters in an Slurm job?










      share|improve this question
















      How I can set the --num-executors, --executor-cores and --executor-memory through the slurm job in the following scenario:



      Suppose I have 2 nodes with 32 cores and 128g each. The best configuration (I think) would be:



      1. Let’s assign 4 cores per executors => --executor-cores = 4.

      2. Leave 1 core per node for Hadoop/Yarn daemons => Num cores available per node = 32-1 = 31. So, Total available of cores in cluster = 31 x 2 = 62

      3. Number of available executors = (total cores/num-cores-per-executor) = 62/4 = 15

      4. Leaving 1 executor for ApplicationManager => --num-executors = 14

      5. Number of executors per node = 15/2 = 7

      6. Memory per executor = 127GB/7 = 18GB

      7. Counting off heap overhead = 7% of 18GB = 1.26GB~2g. So, actual --executor-memory = 18 - 2 = 16GB

      So using this (optimal) configuration how can I set up these parameters in an Slurm job?







      hpc multi-threading mpio slurm






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited May 1 at 23:27









      Phillip -Zyan K Lee- Stockmann

      804310




      804310










      asked May 1 at 12:50









      moudimoudi

      12




      12




















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