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anil_reddaboina
New Contributor II
since ‎02-24-2025
‎06-09-2025

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Hi Team,Recently we migrated the spark jobs from self hosted spark(YARN) Cluster to Databricks.Currently we are using the Databricks workflows with Job_Compute clusters and the Job Type - Spark JAR type execution, so when we run the job in databricks...
Currently we are facing a challenge with below use case:The Airflow DAG has 4 tasks (Task1, Task2, Task3 and Task4) and The dependency is like thisTask 1>> Task2 >> Task3 >> Task4 (All tasks are spark-jar task typesIn Airflow DAG for Task2, there is ...