@Marvin is there a limit to how much data I can pass into the "parameters" property for a deployment?

The documentation for Prefect doesn't explicitly mention a size limit for the "parameters" property for a deployment in the main deployment documentation I found here. However, there is reference related to deploying specifically with Databricks, where it states the JSON representation of the

spark_submit_params

field cannot exceed 10,000 bytes here. If you're working with a specific integration like Databricks, it's worth checking the documentation for that integration to see if there are any unique limitations. Otherwise, the general documents suggest that

parameters

can simply be a

dict

with no mentioned size constraints. It's always recommended practice, however, to ensure the amount of data is reasonable to avoid potential performance issues. If you're experiencing specific issues or errors with large parameters, you could search for relevant information in the Prefect GitHub issues or consider optimizing the size of the data you are passing.

yes

Is the limit for cloud 10k bytes?

no its higher - what are you passing in though?

I might just do that then. I have to compute these values and wanted to do them before the deployment. I guess I'll generate a JSON or something and include that as part of the image.