Spark on DCOS: Make dispatcher reachable from outside the cluster










1















We have installed spark service from the marathon catalogue on a DCOS cluster.



The json configuration of the service goes like this:




"service":
"name": "spark",
"cpus": 1,
"mem": 1024,
"role": "*",
"service_account": "",
"service_account_secret": "",
"user": "root",
"docker-image": "mesosphere/spark:2.3.1-2.2.1-2-hadoop-2.6",
"log-level": "INFO",
"spark-history-server-url": "http://internal-tfef5a-int-master-elb-1145533197.eu-east-1.elb.amazonaws.com/service/spark-history",
"UCR_containerizer": false,
"use_bootstrap_for_IP_detect": false
,
"hdfs":
"config-url": "http://api.hdfs.marathon.l4lb.thisdcos.directory/v1/endpoints"




Given that the marathon ui does not directly allow editing of the service port, what is the proper way to expose the dispatcher so one can perform spark-submit from his/her own workstation?



spark-mesos










share|improve this question


























    1















    We have installed spark service from the marathon catalogue on a DCOS cluster.



    The json configuration of the service goes like this:




    "service":
    "name": "spark",
    "cpus": 1,
    "mem": 1024,
    "role": "*",
    "service_account": "",
    "service_account_secret": "",
    "user": "root",
    "docker-image": "mesosphere/spark:2.3.1-2.2.1-2-hadoop-2.6",
    "log-level": "INFO",
    "spark-history-server-url": "http://internal-tfef5a-int-master-elb-1145533197.eu-east-1.elb.amazonaws.com/service/spark-history",
    "UCR_containerizer": false,
    "use_bootstrap_for_IP_detect": false
    ,
    "hdfs":
    "config-url": "http://api.hdfs.marathon.l4lb.thisdcos.directory/v1/endpoints"




    Given that the marathon ui does not directly allow editing of the service port, what is the proper way to expose the dispatcher so one can perform spark-submit from his/her own workstation?



    spark-mesos










    share|improve this question
























      1












      1








      1








      We have installed spark service from the marathon catalogue on a DCOS cluster.



      The json configuration of the service goes like this:




      "service":
      "name": "spark",
      "cpus": 1,
      "mem": 1024,
      "role": "*",
      "service_account": "",
      "service_account_secret": "",
      "user": "root",
      "docker-image": "mesosphere/spark:2.3.1-2.2.1-2-hadoop-2.6",
      "log-level": "INFO",
      "spark-history-server-url": "http://internal-tfef5a-int-master-elb-1145533197.eu-east-1.elb.amazonaws.com/service/spark-history",
      "UCR_containerizer": false,
      "use_bootstrap_for_IP_detect": false
      ,
      "hdfs":
      "config-url": "http://api.hdfs.marathon.l4lb.thisdcos.directory/v1/endpoints"




      Given that the marathon ui does not directly allow editing of the service port, what is the proper way to expose the dispatcher so one can perform spark-submit from his/her own workstation?



      spark-mesos










      share|improve this question














      We have installed spark service from the marathon catalogue on a DCOS cluster.



      The json configuration of the service goes like this:




      "service":
      "name": "spark",
      "cpus": 1,
      "mem": 1024,
      "role": "*",
      "service_account": "",
      "service_account_secret": "",
      "user": "root",
      "docker-image": "mesosphere/spark:2.3.1-2.2.1-2-hadoop-2.6",
      "log-level": "INFO",
      "spark-history-server-url": "http://internal-tfef5a-int-master-elb-1145533197.eu-east-1.elb.amazonaws.com/service/spark-history",
      "UCR_containerizer": false,
      "use_bootstrap_for_IP_detect": false
      ,
      "hdfs":
      "config-url": "http://api.hdfs.marathon.l4lb.thisdcos.directory/v1/endpoints"




      Given that the marathon ui does not directly allow editing of the service port, what is the proper way to expose the dispatcher so one can perform spark-submit from his/her own workstation?



      spark-mesos







      amazon-web-services apache-spark mesos marathon dcos






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 15 '18 at 10:20









      pkaramolpkaramol

      2,20511849




      2,20511849






















          1 Answer
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          0














          You should run your dispatcher behind edge proxy. See here how to do it.



          Another way is to run it on a public agent. It could be done by setting acceptedResourceRoles":["slave_public"] see here






          share|improve this answer























          • if I edit my json service configuration (for the spark service I installed from the catalogue) and add acceptedResourceRoles":["slave_public"], will this make it automatically exposed / routable from my workstation?

            – pkaramol
            Nov 15 '18 at 13:45












          • Nope. It will be only available with IP and port obtained manually from marathon. To get routable endpoint on one port you need to set up a proxy.

            – janisz
            Nov 15 '18 at 13:48










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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          0














          You should run your dispatcher behind edge proxy. See here how to do it.



          Another way is to run it on a public agent. It could be done by setting acceptedResourceRoles":["slave_public"] see here






          share|improve this answer























          • if I edit my json service configuration (for the spark service I installed from the catalogue) and add acceptedResourceRoles":["slave_public"], will this make it automatically exposed / routable from my workstation?

            – pkaramol
            Nov 15 '18 at 13:45












          • Nope. It will be only available with IP and port obtained manually from marathon. To get routable endpoint on one port you need to set up a proxy.

            – janisz
            Nov 15 '18 at 13:48















          0














          You should run your dispatcher behind edge proxy. See here how to do it.



          Another way is to run it on a public agent. It could be done by setting acceptedResourceRoles":["slave_public"] see here






          share|improve this answer























          • if I edit my json service configuration (for the spark service I installed from the catalogue) and add acceptedResourceRoles":["slave_public"], will this make it automatically exposed / routable from my workstation?

            – pkaramol
            Nov 15 '18 at 13:45












          • Nope. It will be only available with IP and port obtained manually from marathon. To get routable endpoint on one port you need to set up a proxy.

            – janisz
            Nov 15 '18 at 13:48













          0












          0








          0







          You should run your dispatcher behind edge proxy. See here how to do it.



          Another way is to run it on a public agent. It could be done by setting acceptedResourceRoles":["slave_public"] see here






          share|improve this answer













          You should run your dispatcher behind edge proxy. See here how to do it.



          Another way is to run it on a public agent. It could be done by setting acceptedResourceRoles":["slave_public"] see here







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 15 '18 at 13:40









          janiszjanisz

          5,25632552




          5,25632552












          • if I edit my json service configuration (for the spark service I installed from the catalogue) and add acceptedResourceRoles":["slave_public"], will this make it automatically exposed / routable from my workstation?

            – pkaramol
            Nov 15 '18 at 13:45












          • Nope. It will be only available with IP and port obtained manually from marathon. To get routable endpoint on one port you need to set up a proxy.

            – janisz
            Nov 15 '18 at 13:48

















          • if I edit my json service configuration (for the spark service I installed from the catalogue) and add acceptedResourceRoles":["slave_public"], will this make it automatically exposed / routable from my workstation?

            – pkaramol
            Nov 15 '18 at 13:45












          • Nope. It will be only available with IP and port obtained manually from marathon. To get routable endpoint on one port you need to set up a proxy.

            – janisz
            Nov 15 '18 at 13:48
















          if I edit my json service configuration (for the spark service I installed from the catalogue) and add acceptedResourceRoles":["slave_public"], will this make it automatically exposed / routable from my workstation?

          – pkaramol
          Nov 15 '18 at 13:45






          if I edit my json service configuration (for the spark service I installed from the catalogue) and add acceptedResourceRoles":["slave_public"], will this make it automatically exposed / routable from my workstation?

          – pkaramol
          Nov 15 '18 at 13:45














          Nope. It will be only available with IP and port obtained manually from marathon. To get routable endpoint on one port you need to set up a proxy.

          – janisz
          Nov 15 '18 at 13:48





          Nope. It will be only available with IP and port obtained manually from marathon. To get routable endpoint on one port you need to set up a proxy.

          – janisz
          Nov 15 '18 at 13:48



















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