The cloud-native orchestrator for the whole development lifecycle, with integrated lineage and observability.

dagster

Hello guys - I’ve just got aware about Dagster and I’m evaluating it as a possible candidate to orchestrate a big ETL system… I’m going through the tutorial; however I got stuck in a problem. I’ve logged a question to the StackOverflow. I appreciate if anyone can help addressing it:
<https://stackoverflow.com/questions/63691520/dagstar-multiple-and-conditional-outputs-type-check-failed-for-step-output-xxx|Dagster: Multiple and Conditional Outputs (Type check failed for step output xxx PySparkDataFrame)>

heres the source for the tutorial snippet <https://github.com/dagster-io/dagster/blob/master/examples/docs_snippets/docs_snippets/intro_tutorial/basics/e02_solids/multiple_outputs.py> you can see how we declare the type

<@U019VMX5CV9> I'm looking at this now, and the tutorial is a little confusing here

I'd recommend taking out the `dagster_type` argument from your code there.  I'm going to update the tutorial to do this

yep - commenting out the the `dagster_type` it ran successfully. Thanks for the help!