Scheduling jobs with Airflow result in each task running multiple jobs.
Hey everyone, I'm experiementing with running containerized pyspark jobs in Databricks, and orchestrating them with airflow. I am however, encountering an issue here. When I trigger an airflow DAG, and I look at the logs, I see that airflow is spinni...
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Both, I guess? Yes, all jobs share the same config - the question I have is why in the same airflow task log, there are 3 jobs runs. I'm hoping that there's something in the configs and may give me some kind of clue.
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