[GitHub] [airflow] ashb commented on a change in pull request #20722: Speed up creation of DagRun for large DAGs (5k+ tasks) by 25-140%

[GitBox <gi...@apache.org>]

ashb commented on a change in pull request #20722:
URL: https://github.com/apache/airflow/pull/20722#discussion_r779743795



##########
File path: airflow/models/taskinstance.py
##########
@@ -477,6 +477,25 @@ def __init__(
         # can be changed when calling 'run'
         self.test_mode = False
 
+    @staticmethod
+    def insert_mapping(run_id: str, task: "BaseOperator") -> dict:
+        """:meta private:"""
+        return {
+            'dag_id': task.dag_id,
+            'task_id': task.task_id,
+            'run_id': run_id,
+            '_try_number': 0,
+            'unixname': getuser(),
+            'queue': task.queue,
+            'pool': task.pool,
+            'pool_slots': task.pool_slots,
+            'priority_weight': task.priority_weight_total,
+            'run_as_user': task.run_as_user,
+            'max_tries': task.retries,
+            'executor_config': task.executor_config,

Review comment:
       Good question - will test (or see if existing tests cover this)




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