How to run a dbt operation in a job ?

To run a dbt operation within a Dagster job, you can use the

dagster_dbt

library which provides several dbt operations that you can include in your Dagster jobs. Here's a step-by-step guide based on the documentation: 1. Install the

dagster_dbt

library: Make sure you have the

dagster_dbt

library installed in your environment. This library provides the necessary dbt operations that can be used within Dagster. 2. Define a dbt resource: You need to define a dbt resource that specifies how to run dbt commands. This can be done using the

dbt_cli_resource

provided by

dagster_dbt

. 3. Create a job with dbt operations: Use the dbt operations provided by

dagster_dbt

, such as

dbt_run_op

,

dbt_compile_op

, or

dbt_ls_op

, to create a job. These operations correspond to the

dbt run

,

dbt compile

, and

dbt ls

commands respectively. Here's an example of how to define a job that includes a dbt run operation, as described in the documentation:

python from dagster import job from dagster_dbt import dbt_run_op, dbt_cli_resource  @job(resource_defs={"dbt": dbt_cli_resource}) def my_dbt_cli_job():     dbt_run_op()

In this example,

dbt_run_op

is an operation that executes the

dbt run

command. The

dbt_cli_resource

is used to configure how the dbt command is executed, such as specifying the project directory or profiles directory. You can configure the

dbt_cli_resource

with the necessary settings for your dbt project. 4. Execute the job: Once you have defined your job, you can execute it using Dagster's tooling, such as Dagit or the Dagster CLI. The job will run the dbt operation according to the configuration you've provided. Remember to configure your dbt resource with the appropriate settings for your environment, such as the dbt project directory, profile, and other necessary configurations. This will ensure that the dbt operations within your Dagster job run correctly.

@Scout how do I run a specific dbt operation ?

To run a specific dbt operation within a Dagster job, you can use the

dagster_dbt

library's provided dbt operations. Each dbt operation corresponds to a different dbt command. For example, if you want to run a specific dbt model or a set of models, you can use the

dbt_run_op

and provide the appropriate configuration. Here's how you can run a specific dbt operation: 1. Define your dbt resource: Set up the

dbt_cli_resource

with the necessary configuration for your dbt project. 2. Create a job with the specific dbt operation: Use the appropriate dbt operation from

dagster_dbt

and configure it to run the specific dbt command you want. For example, to run a specific model or set of models, you can pass the

--models

or

--select

argument to the

dbt_run_op

. Here's an example of how to define a job that runs a specific dbt model:

python from dagster import job, op from dagster_dbt import dbt_cli_resource  @op(required_resource_keys={"dbt"}) def run_specific_dbt_model(context):     # Replace 'my_model' with the specific model you want to run     context.resources.dbt.run(["run", "--select", "my_model"])  @job(resource_defs={"dbt": dbt_cli_resource}) def my_dbt_job():     run_specific_dbt_model()

In this example, the

run_specific_dbt_model

operation is configured to run a specific dbt model by using the

dbt.run

method with the

--select

argument. You can replace

'my_model'

with the name of the model or pattern you want to run. 3. Execute the job: After defining your job, you can execute it using Dagster's execution tools, such as Dagit or the Dagster CLI. The job will run the specified dbt operation with the configuration you've provided. Make sure to adjust the configuration of the

dbt_cli_resource

and the arguments passed to the

dbt.run

method according to your specific dbt project and the operation you want to perform.

@Scout I am facing this error :

'DbtCliResource' object has no attribute 'run'

with this piece of code :

context.resources.dbt.run(
            operation_name="publish", args=[f"--{arg_name}", arg_value]
        )

The error message

'DbtCliResource' object has no attribute 'run'

indicates that you are trying to call a method

run

on an instance of

DbtCliResource

that does not exist. In the

dagster_dbt

library, the

DbtCliResource

object provides a method called

cli

to run dbt commands, not

run

. To execute a dbt operation using

DbtCliResource

, you should use the

cli

method. Here's how you can modify your code to use the correct method:

python context.resources.dbt.cli(     ["run-operation", "publish", f"--{arg_name}", arg_value] )

In this example,

cli

is the correct method to invoke dbt CLI commands. The first argument to

cli

is a list of command-line arguments that you would pass to dbt in the terminal. The

run-operation

command is used to invoke a specific dbt operation. Make sure to replace

"publish"

,

arg_name

, and

arg_value

with the actual operation name and arguments you want to pass to your dbt command. If you are trying to run a specific dbt model or a set of models, you would use the

dbt_run_op

operation provided by

dagster_dbt

. However, if you need to run a custom dbt operation that is not covered by the provided dbt operations, you can use the

cli

method as shown above.