Spark on DCOS: Make dispatcher reachable from outside the cluster
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?
amazon-web-services apache-spark mesos marathon dcos
add a comment |
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?
amazon-web-services apache-spark mesos marathon dcos
add a comment |
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?
amazon-web-services apache-spark mesos marathon dcos
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?
amazon-web-services apache-spark mesos marathon dcos
amazon-web-services apache-spark mesos marathon dcos
asked Nov 15 '18 at 10:20
pkaramolpkaramol
2,20511849
2,20511849
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
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
if I edit my json service configuration (for thespark
service I installed from the catalogue) and addacceptedResourceRoles":["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
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
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
if I edit my json service configuration (for thespark
service I installed from the catalogue) and addacceptedResourceRoles":["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
add a comment |
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
if I edit my json service configuration (for thespark
service I installed from the catalogue) and addacceptedResourceRoles":["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
add a comment |
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
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
answered Nov 15 '18 at 13:40
janiszjanisz
5,25632552
5,25632552
if I edit my json service configuration (for thespark
service I installed from the catalogue) and addacceptedResourceRoles":["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
add a comment |
if I edit my json service configuration (for thespark
service I installed from the catalogue) and addacceptedResourceRoles":["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
add a comment |
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