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This repository has been archived by the owner on Sep 3, 2022. It is now read-only.
This is possible using the pipeline object model in pydatalab (i.e we could write a cell that repeatedly called generate_airflow_spec for different dicts of 'parameters').
However, no current way of doing this with %%bq pipeline (i.e. interactively from within Datalab) is currently known.
The text was updated successfully, but these errors were encountered:
The scenario is described in more detail here:
http://engineering.pmc.com/2017/03/playing-around-with-apache-airflow-bigquery-62/
This is possible using the pipeline object model in pydatalab (i.e we could write a cell that repeatedly called generate_airflow_spec for different dicts of 'parameters').
However, no current way of doing this with %%bq pipeline (i.e. interactively from within Datalab) is currently known.
The text was updated successfully, but these errors were encountered: