Any idea what type of object it is when it fails?

Even with just the first node it fails. The first node has pandas parquet as inputs. I haven't created any custom datasets in any pipeline.

That's super odd

Unfortunately, it is sensitive. I'll see if I can change it to a shareable version. It might take a few days though.

another alternative would be to list any ways we deviate from a standard kedro project

@datajoely I have faced the same issue while persisting Pandas dataframe as pickle files in the catalog.yml file

To replicate the error, just insert a node with

func=lambda x: x

in a pipeline and run that pipeline on ParallelRunner. I used this example (https://github.com/datajoely/modular-spaceflights/tree/main/src/modular_spaceflights/pipelines/data_ingestion) and added a dummy

lambda

node in the "Data ingestion" pipeline.

Hi RRoger - I think we've worked out the issue