https://dagster.io/ logo
#ask-ai
Title
# ask-ai
j

Jamie

02/20/2024, 6:02 PM
Can you provide an example of using the execute_docker_container while creating an op?
s

Scout

02/20/2024, 6:02 PM
Certainly! According to the documentation, you can create your own op that executes a Docker container by calling the
execute_docker_container
function inside your op definition. Here's an example provided in the documentation:
Copy code
python from dagster import op from dagster_docker import execute_docker_container  @op def my_docker_op(context):     execute_docker_container(         context,         image="busybox",         command=["echo", "HELLO"],         # You can specify additional parameters here as needed     )
In this example,
my_docker_op
is an op that, when executed, will run a Docker container using the
busybox
image and execute the command
echo HELLO
inside that container. You can pass additional parameters to
execute_docker_container
as needed, such as
entrypoint
,
networks
,
registry
,
env_vars
, and
container_kwargs
. Please note that the
execute_docker_container
function is marked as experimental, which means that its API may change in future versions, even between dot releases.
j

Jamie

02/20/2024, 6:03 PM
can you provide an example of using that in a job?
@Scout Can you provide an example of using that in a job?
s

Scout

02/20/2024, 6:04 PM
Certainly! To use the
my_docker_op
within a job, you would define a job that includes this op as one of its steps. Here's an example of how you might define a job that uses the `my_docker_op`:
Copy code
python from dagster import job  @job def my_docker_job():     my_docker_op()
In this example,
my_docker_job
is a job that consists of a single step, which is the execution of
my_docker_op
. When you run
my_docker_job
, it will execute the Docker container as specified in the
my_docker_op
definition. To run the job, you would use Dagster's command line interface or the Dagit UI. For example, to execute the job from the command line, you would use the following command:
Copy code
shell dagster job execute -f my_docker_job.py
Make sure that the file
my_docker_job.py
contains both the op definition and the job definition as shown above. Please remember to have Docker installed and running on your machine, and ensure that Dagster has the necessary permissions to interact with Docker. Additionally, if you're using resources or configurations, you'll need to define and pass them accordingly within your job and op definitions.
j

Jamie

02/20/2024, 6:06 PM
@Scout Do I need to pass in a context argument when using it in a job?
s

Scout

02/20/2024, 6:06 PM
No, you do not need to pass in a context argument when using an op within a job. In Dagster, the context is automatically provided to the op when the job is executed. The context includes information about the current run and the resources available to the op. Here's an example of a job definition without explicitly passing a context:
Copy code
python from dagster import job  @job def my_docker_job():     my_docker_op()
When
my_docker_job
is executed, Dagster will take care of providing the appropriate context to
my_docker_op
. The context is used internally by the op to access configurations, resources, and logging, among other things. If you need to access the context within your op for some reason, you can define your op to accept a context parameter, and Dagster will provide the context when the op is invoked:
Copy code
python from dagster import op  @op def my_docker_op(context):     # You can use the context here, for example:     <http://context.log.info|context.log.info>("Executing my_docker_op")     # ... rest of your op logic ...
However, when defining the job, you still do not need to pass the context manually; Dagster handles this automatically during execution.
4 Views