Databricks job clusters are stricter than interactive clusters
- Chen Hirsh
- Mar 9
- 1 min read
While converting a list to a dataframe, I got a type error, but only when scheduling the notebook on a job cluster, not when running it directly on an interactive cluster.
How to get around that and why does it happen?
See the full post on my blog - https://chenhirsh.com/databricks-job-clusters-are-stricter-than-interactive-clusters/
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Interesting issue! It seems Databricks job clusters are indeed more sensitive. I wonder if differences in Spark versions or configurations are at play. Perhaps some implicit type conversions that work in interactive mode fail in the job cluster's stricter environment. It's like going from the forgiving slopes of the beginner level to the icy challenge of Snow Rider 3D – every detail matters!
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