ashb commented on a change in pull request #21614:
URL: https://github.com/apache/airflow/pull/21614#discussion_r809111365
##########
File path: airflow/models/dagrun.py
##########
@@ -649,19 +651,41 @@ def task_instance_scheduling_decisions(self, session:
Session = NEW_SESSION) ->
def _get_ready_tis(
self,
- scheduleable_tasks: List[TI],
+ scheduleable_tis: List[TI],
finished_tis: List[TI],
session: Session,
) -> Tuple[List[TI], bool]:
old_states = {}
ready_tis: List[TI] = []
changed_tis = False
- if not scheduleable_tasks:
+ if not scheduleable_tis:
return ready_tis, changed_tis
+ # If we expand TIs, we need a new list so that we iterate over them
too. (We can't alter
+ # `scheduleable_tis` in place and have the `for` loop pick them up
+ expanded_tis: List[TI] = []
+
# Check dependencies
- for st in scheduleable_tasks:
+ for st in itertools.chain(scheduleable_tis, expanded_tis):
+
+ # Expansion of last resort! This is ideally handled in the
mini-scheduler in LocalTaskJob, but if
+ # for any reason it wasn't, we need to expand it now
+ if st.map_index < 0 and st.task.is_mapped:
+ # HACK. This needs a better way, one that copes with multiple
upstreams!
+ for ti in finished_tis:
+ if st.task_id in ti.task.downstream_task_ids:
+ upstream = ti
+
+ assert isinstance(st.task, MappedOperator)
+ new_tis = st.task.expand_mapped_task(upstream,
session=session)
+ assert new_tis[0] is st
+ # Add the new TIs to the list to be checked
+ for new_ti in new_tis[1:]:
+ new_ti.task = st.task
Review comment:
Done
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