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Is it possible to add Fair scheduler pools programmatically in Spark?


Apache Spark: How application level scheduling is done in spark standalone mode?How to enable Fair scheduler?Submitting Spark Job On Scheduler PoolIs FAIR available for Spark Standalone cluster mode?(Spark Schedular) What's the difference between Fair and FIFO inside a spark job pool?Spark fair scheduling not workingSpark Application FAIR SchedulingHow to correctly setup spark fair scheduler and pools?How Do I Enable Fair Scheduler in PySpark?






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0















I'm developing an application where several users use the same SparkContext to launch their queries to a Spark Cluster.



As the Spark documentation states (https://spark.apache.org/docs/2.2.0/job-scheduling.html#fair-scheduler-pools), with the Fair scheduler, you can assign a different pool for every user and they'll get a fair share of the cluster resources but every pool will be set up with the default pool configuration (scheduling mode FIFO, weight 1, and minShare 0).



Given that we don't know in advance which users can connect to the application, we can't set up a configuration file for the fair scheduler pools for all the users.



So, in order to give a pool to every user dynamically and set up every pool with a FAIR scheduling mode, I think there might be 2 options:



  1. Change the default pool behaviour in order to change the scheduling mode to FAIR. Is it possible? How?

  2. Generate a scheduler pool dynamically and programmatically in order to add a scheduler pool when a user connects to the application for first time and that pool should be created with a FAIR scheduling mode. Is it possible? How?

Thanks in advance










share|improve this question
































    0















    I'm developing an application where several users use the same SparkContext to launch their queries to a Spark Cluster.



    As the Spark documentation states (https://spark.apache.org/docs/2.2.0/job-scheduling.html#fair-scheduler-pools), with the Fair scheduler, you can assign a different pool for every user and they'll get a fair share of the cluster resources but every pool will be set up with the default pool configuration (scheduling mode FIFO, weight 1, and minShare 0).



    Given that we don't know in advance which users can connect to the application, we can't set up a configuration file for the fair scheduler pools for all the users.



    So, in order to give a pool to every user dynamically and set up every pool with a FAIR scheduling mode, I think there might be 2 options:



    1. Change the default pool behaviour in order to change the scheduling mode to FAIR. Is it possible? How?

    2. Generate a scheduler pool dynamically and programmatically in order to add a scheduler pool when a user connects to the application for first time and that pool should be created with a FAIR scheduling mode. Is it possible? How?

    Thanks in advance










    share|improve this question




























      0












      0








      0








      I'm developing an application where several users use the same SparkContext to launch their queries to a Spark Cluster.



      As the Spark documentation states (https://spark.apache.org/docs/2.2.0/job-scheduling.html#fair-scheduler-pools), with the Fair scheduler, you can assign a different pool for every user and they'll get a fair share of the cluster resources but every pool will be set up with the default pool configuration (scheduling mode FIFO, weight 1, and minShare 0).



      Given that we don't know in advance which users can connect to the application, we can't set up a configuration file for the fair scheduler pools for all the users.



      So, in order to give a pool to every user dynamically and set up every pool with a FAIR scheduling mode, I think there might be 2 options:



      1. Change the default pool behaviour in order to change the scheduling mode to FAIR. Is it possible? How?

      2. Generate a scheduler pool dynamically and programmatically in order to add a scheduler pool when a user connects to the application for first time and that pool should be created with a FAIR scheduling mode. Is it possible? How?

      Thanks in advance










      share|improve this question
















      I'm developing an application where several users use the same SparkContext to launch their queries to a Spark Cluster.



      As the Spark documentation states (https://spark.apache.org/docs/2.2.0/job-scheduling.html#fair-scheduler-pools), with the Fair scheduler, you can assign a different pool for every user and they'll get a fair share of the cluster resources but every pool will be set up with the default pool configuration (scheduling mode FIFO, weight 1, and minShare 0).



      Given that we don't know in advance which users can connect to the application, we can't set up a configuration file for the fair scheduler pools for all the users.



      So, in order to give a pool to every user dynamically and set up every pool with a FAIR scheduling mode, I think there might be 2 options:



      1. Change the default pool behaviour in order to change the scheduling mode to FAIR. Is it possible? How?

      2. Generate a scheduler pool dynamically and programmatically in order to add a scheduler pool when a user connects to the application for first time and that pool should be created with a FAIR scheduling mode. Is it possible? How?

      Thanks in advance







      apache-spark






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Mar 29 at 9:04







      miguel0afd

















      asked Mar 28 at 11:15









      miguel0afdmiguel0afd

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