Specify worker pool for Apache TinkerPop's Spark-Gremlin - DataStax-Enterprise Graph-Analytics - datastax

Question

I need to designate a specific worker pool to run gremlin olap queries. When I run gremlin olap queries using gremlin console or datastax studio it runs under the default pool (which is not what I want). I want to run the gremlin olap queries under a specific worker pool e.g. gremlin_olap or be able to specify the memory and executors. I tried a few settings in dse.yaml (in the location resources/dse/conf) and olap.properties (in the location resources/graph/conf), I re-started the cluster still not able to force to use gremlin_olap worker pool.
olap.properties
spark.scheduler.pool=gremlin_olap
spark.executor.cores=2
spark.executor.memory=2g
dse.yaml
resource_manager_options:
worker_options:
cores_total: 0.7
memory_total: 0.6
workpools:
- name: alwayson_sql
cores: 0.25
memory: 0.25
- name: gremlin_olap
cores: 0.25
memory: 0.25
Gremlin console
bin/dse gremlin-console
\,,,/
(o o)
-----oOOo-(3)-oOOo-----
plugin activated: tinkerpop.server
plugin activated: tinkerpop.tinkergraph
gremlin> :remote config alias g identity.a
==>g=identity.a
gremlin> g.V().groupCount().by(label)
==>{identity=50000}
gremlin>
Am I missing something?

Answer 1

These directions should help:
https://docs.datastax.com/en/dse/6.8/dse-dev/datastax_enterprise/graph/graphAnalytics/graphAnalyticsSparkGraphComputer.html#SettingSparkpropertiesfromGremlin
This doesn’t exactly create a Spark resource pool — but it does affect the resources that the Gremlin OLAP Spark application will use — and the way it works in DSE Graph is that there will only ever be one of these applications spun up, so it has the same effect as having a Spark resource pool.