Are Jobs not supported on cluster with Azure Data Lake Storage credential passthrough enabled cluster?

[nancy_g]

I found a documentation which mentions that Jobs are not supported, https://github.com/hurtn/datalake-ADLS-access-patterns-with-Databricks/blob/master/readme.md#Pattern...

Wanted to confirm if this holds true and this credential passthrough support is only for notebook?

[User16764241763 · Accepted solution]

Hello @Nancy Gupta​ 

Jobs passthrough is currently in private preview. Could you please reach out your Databricks Account representatives to help you with onboarding?

Or Please raise a support case with us, so we can assist you.

[Juan]

This is utterly ridiculous that jobs are not supported with this as a standard, so am I left to execute jobs manually?

[Rostislaw]

Right now the feature seems to be public available. It is possible to schedule jobs with ADLS passthough enabled and do not have to provide service principal credentials.

However I ask myself how that works behind the scenses. When working interactively with notebooks the "passthrough" refers to the fact that the user is logged in and already available access_token can be used for access ADLS. Job clusters runs unattended and there is no access_token available...

Does anybody know which OAuth2 flow Databricks use in order to get the access_token of the job owner?