hey, I'm doing graph initialization :

for graph in graphs:

results.append(<http://graph.to|graph.to>_job(resource_defs=resources, name=graph.name+"_env"))

return results

in resources. That generates jobs from graphs ops that are configured after that I created a job that is doing partitioning and run from that job this

<http://graph.to|graph.to>_job

when I run graph separately, as a job, my configuration e.g. resource key in nested op of a graph, works fine. However after I run graph from a job, this configuration is not working and I have something like

UserWarning: Error loading repository location hello_flow:dagster.core.errors.DagsterInvalidDefinitionError: resource with key 'druid_db_client' required by op 'load_threads_graph.load_threads' was not provided

Are there any workaround for that?

@job(config=my_offset_partitioned_config)

def executute_timeseries_query():

load_threads_graph(get_query_timeframe())

this is how my job looks like,

load_threads_graph

is the graph, that has it's on job with resource.

This warning means that you have a job somewhere that requires the

druid_db_client

resource but does not define it. Any of your jobs that use the

load_threads_graph

need to supply

druid_db_client

in

resource_defs

, since it is required by the constituent op `load_threads`:

@job(resource_defs={"druid_db_client": VALUE})
def my_job():
    load_threads_graph()

# or

load_threads_graph.to_job(resource_defs={"druid_db_client": VALUE})

I did added it to resoruce def, but it's not picking it up