I have a job that consists of one op How do I pass resources dagster #ask-ai

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I have a job that consists of one op. How do I pas...

# ask-ai

D Zavadskykh

02/06/2024, 2:13 PM

I have a job that consists of one op. How do I pass resources/config (names of db, files) to the op?

Scout

02/06/2024, 2:13 PM

To pass resources or configuration to an op within a job in Dagster, you can define resources and attach them to the job. Resources can encapsulate configuration for things like database connections or file paths. Here's how you can do it step by step: 1. Define a resource class that encapsulates the configuration you need. For example, if you need to pass database credentials, you can create a resource that holds this information. 2. Annotate the op function with the resource by including it as a parameter. This tells Dagster that your op requires the resource. 3. Attach the resource to the job by including it in the

resource_defs

argument of the job decorator. Here's an example based on the documentation:

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python from dagster import job, op, resource  # Define a resource class with configuration @resource(config_schema={"db_name": str, "file_path": str}) def my_resource(context):     return {         "db_name": context.resource_config["db_name"],         "file_path": context.resource_config["file_path"]     }  # Define an op that requires the resource @op(required_resource_keys={"my_resource"}) def my_op(context):     # Access the resource configuration within the op     db_name = context.resources.my_resource["db_name"]     file_path = context.resources.my_resource["file_path"]     # Your logic here  # Define a job that includes the resource @job(resource_defs={"my_resource": my_resource}) def my_job():     my_op()  # Execute the job with the specific configuration if __name__ == "__main__":     my_job.execute_in_process(         run_config={             "resources": {                 "my_resource": {                     "config": {                         "db_name": "my_database",                         "file_path": "/path/to/my/file"                     }                 }             }         }     )

In this example,

my_resource

is a resource that holds the configuration for a database name and a file path. The

my_op

op requires this resource and accesses its configuration within the op's body. The

my_job

job includes the

my_resource

in its

resource_defs

. When executing the job, you provide the specific configuration values for the

my_resource

through the

run_config

parameter. Remember to define the appropriate

config_schema

for your resource to validate the configuration values you pass to it.

Scout

02/06/2024, 2:36 PM

Based on the documentation, when you transition from using multiple repositories to a single

Definitions

object containing multiple jobs, you need to ensure that all required resources for each job are properly defined and accessible. If you encounter an error like

Missing required config entry "resources" at the root

, it typically means that the job execution is expecting certain resources to be configured, but they are not provided in the

run_config

. Here are the steps you should take to troubleshoot and resolve this issue: 1. Review the job definitions to ensure that all required resources are declared. Each job may have its own set of resources that it depends on. 2. Check the

run_config

you're providing when you execute the job. Make sure that it includes the necessary resource configurations for the job that is failing. The

run_config

should have a

resources

section where you define the configurations for each resource required by the job. 3. If you have recently combined jobs into a single

Definitions

object, ensure that the resources are correctly mapped to each job. It's possible that the resource definitions that were previously associated with individual repositories need to be re-associated with the jobs within the

Definitions

. 4. If the jobs share common resources, make sure that these resources are defined in a way that they can be accessed by both jobs within the

Definitions

. Here's an example of what your

run_config

might look like with the resources section included:

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yaml resources:   my_resource:     config:       db_name: "my_database"       file_path: "/path/to/my/file"

And here's how you might define the

Definitions

with both jobs:

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python from dagster import Definitions, job, op, resource  # Define your resources and ops here  # Define your jobs @job(resource_defs={"my_resource": my_resource}) def job_a():     # ...  @job(resource_defs={"my_resource": my_resource}) def job_b():     # ...  # Combine jobs into a single Definitions object defs = Definitions(     jobs=[job_a, job_b],     resources={         "my_resource": my_resource,         # Include other resources as needed     } )

Make sure that when you execute the jobs, you provide the necessary

run_config

for the resources they require. If you continue to experience issues, you may want to review the specific job and resource definitions to ensure they are correctly configured and that the

run_config

matches the expected schema.

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