raman created AIRFLOW-2614:
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Summary: Airflow trigger_run API is very slow
Key: AIRFLOW-2614
URL: https://issues.apache.org/jira/browse/AIRFLOW-2614
Project: Apache Airflow
Issue Type: Bug
Components: DagRun
Affects Versions: Airflow 2.0, 1.9.0
Reporter: raman
Current implementation of trigger_dag processes all Local dag files
sequentially before creating a DAG run. Its done inside trigger_dag function in
trigger_dag.py
"def trigger_dag(dag_id, run_id=None, conf=None, execution_date=None):
dagbag = DagBag()
....."
Processing all the files to get the dagBag slows down the trigger_dag api and
increases latency. We have observed that it starts taking 10(s) of seconds as
number of Dag Files increase.
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