Remove align param from iter dagrun infos#61420

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dstandish merged 3 commits into from
Feb 4, 2026
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Remove align param from iter dagrun infos #61420

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7468b10
Remove align param from iter dagrun infos
dstandish Feb 3, 2026
d71086e
update tests
dstandish Feb 4, 2026
333da4f
ensure we include the passed in run
dstandish Feb 4, 2026
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7 changes: 4 additions & 3 deletions airflow-core/src/airflow/api/common/mark_tasks.py
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Original file line numberDiff line numberDiff line change
Expand Up@@ -185,11 +185,12 @@ def get_run_ids(dag: SerializedDAG, run_id: str, future: bool, past: bool, sessi
elif not dag.timetable.periodic:
run_ids = [run_id]
else:
dates = [
dates = {current_logical_date}
dates.update(
info.logical_date
for info in dag.iter_dagrun_infos_between(start_date, end_date, align=False)
for info in dag.iter_dagrun_infos_between(start_date, end_date)
if info.logical_date # todo: AIP-76 this will not find anything where logical date is null
]
)
run_ids = [dr.run_id for dr in DagRun.find(dag_id=dag.dag_id, logical_date=dates, session=session)]
return run_ids

Expand Down
22 changes: 0 additions & 22 deletions airflow-core/src/airflow/serialization/definitions/dag.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -434,26 +434,13 @@ def iter_dagrun_infos_between(
self,
earliest: datetime.datetime | None,
latest: datetime.datetime,
*,
align: bool = True,
) -> Iterable[DagRunInfo]:
"""
Yield DagRunInfo using this DAG's timetable between given interval.

DagRunInfo instances yielded if their ``logical_date`` is not earlier
than ``earliest``, nor later than ``latest``. The instances are ordered
by their ``logical_date`` from earliest to latest.

If ``align`` is ``False``, the first run will happen immediately on
``earliest``, even if it does not fall on the logical timetable schedule.
The default is ``True``.

Example: A DAG is scheduled to run every midnight (``0 0 * * *``). If
``earliest`` is ``2021-06-03 23:00:00``, the first DagRunInfo would be
``2021-06-03 23:00:00`` if ``align=False``, and ``2021-06-04 00:00:00``
if ``align=True``.

# see issue https://github.com/apache/airflow/issues/60455
"""
if isinstance(self.timetable, CronPartitionTimetable):
# todo: AIP-76 need to update this so that it handles partitions
Expand DownExpand Up@@ -481,21 +468,12 @@ def iter_dagrun_infos_between(
info = None

if info is None:
# No runs to be scheduled between the user-supplied timeframe. But
# if align=False, "invent" a data interval for the timeframe itself.
if not align:
yield DagRunInfo.interval(earliest, latest)
return

if TYPE_CHECKING:
# todo: AIP-76 after updating this function for partitions, this may not be true
assert info.data_interval is not None

# If align=False and earliest does not fall on the timetable's logical
# schedule, "invent" a data interval for it.
if not align and info.logical_date != earliest:
yield DagRunInfo.interval(earliest, info.data_interval.start)

# Generate naturally according to schedule.
while info is not None:
yield info
Expand Down
3 changes: 1 addition & 2 deletions airflow-core/tests/unit/models/test_dag.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -2746,7 +2746,6 @@ def test_iter_dagrun_infos_between(start_date, expected_infos):
iterator = create_scheduler_dag(dag).iter_dagrun_infos_between(
earliest=pendulum.instance(start_date),
latest=pendulum.instance(DEFAULT_DATE),
align=True,
)
assert expected_infos == list(iterator)

Expand DownExpand Up@@ -2783,7 +2782,7 @@ def _get_registered_timetable(s):
):
scheduler_dag = create_scheduler_dag(dag)

iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end, align=True)
iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end)
with caplog.at_level(logging.ERROR):
infos = list(iterator)

Expand Down
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Remove align param from iter dagrun infos#61420

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 Merged

dstandish
merged 3 commits into

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Feb 4, 2026
 Merged


Remove align param from iter dagrun infos
#61420
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7468b10

Remove align param from iter dagrun infos


dstandish Feb 3, 2026
d71086e

update tests


dstandish Feb 4, 2026
333da4f

ensure we include the passed in run


dstandish Feb 4, 2026

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7 changes: 4 additions & 3 deletions
airflow-core/src/airflow/api/common/mark_tasks.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -185,11 +185,12 @@ def get_run_ids(dag: SerializedDAG, run_id: str, future: bool, past: bool, sessi
 elif not dag.timetable.periodic:
 run_ids = [run_id]
 else:
 dates = [
 dates = {current_logical_date}
 dates.update(
 info.logical_date
 for info in dag.iter_dagrun_infos_between(start_date, end_date, align=False)
 for info in dag.iter_dagrun_infos_between(start_date, end_date)
 if info.logical_date # todo: AIP-76 this will not find anything where logical date is null
]
)
 run_ids = [dr.run_id for dr in DagRun.find(dag_id=dag.dag_id, logical_date=dates, session=session)]
 return run_ids

Expand Down

22 changes: 0 additions & 22 deletions
airflow-core/src/airflow/serialization/definitions/dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -434,26 +434,13 @@ def iter_dagrun_infos_between(
 self,
 earliest: datetime.datetime | None,
 latest: datetime.datetime,
 *,
 align: bool = True,
 ) -> Iterable[DagRunInfo]:
 """
 Yield DagRunInfo using this DAG's timetable between given interval.

 DagRunInfo instances yielded if their ``logical_date`` is not earlier
 than ``earliest``, nor later than ``latest``. The instances are ordered
 by their ``logical_date`` from earliest to latest.

 If ``align`` is ``False``, the first run will happen immediately on
 ``earliest``, even if it does not fall on the logical timetable schedule.
 The default is ``True``.

 Example: A DAG is scheduled to run every midnight (``0 0 * * *``). If
 ``earliest`` is ``2021-06-03 23:00:00``, the first DagRunInfo would be
 ``2021-06-03 23:00:00`` if ``align=False``, and ``2021-06-04 00:00:00``
 if ``align=True``.

 # see issue https://github.com/apache/airflow/issues/60455
 """
 if isinstance(self.timetable, CronPartitionTimetable):
 # todo: AIP-76 need to update this so that it handles partitions
Expand DownExpand Up@@ -481,21 +468,12 @@ def iter_dagrun_infos_between(
 info = None

 if info is None:
 # No runs to be scheduled between the user-supplied timeframe. But
 # if align=False, "invent" a data interval for the timeframe itself.
 if not align:
 yield DagRunInfo.interval(earliest, latest)
 return

 if TYPE_CHECKING:
 # todo: AIP-76 after updating this function for partitions, this may not be true
 assert info.data_interval is not None

 # If align=False and earliest does not fall on the timetable's logical
 # schedule, "invent" a data interval for it.
 if not align and info.logical_date != earliest:
 yield DagRunInfo.interval(earliest, info.data_interval.start)

 # Generate naturally according to schedule.
 while info is not None:
 yield info
Expand Down

3 changes: 1 addition & 2 deletions
airflow-core/tests/unit/models/test_dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2746,7 +2746,6 @@ def test_iter_dagrun_infos_between(start_date, expected_infos):
 iterator = create_scheduler_dag(dag).iter_dagrun_infos_between(
 earliest=pendulum.instance(start_date),
 latest=pendulum.instance(DEFAULT_DATE),
 align=True,
 )
 assert expected_infos == list(iterator)

Expand DownExpand Up@@ -2783,7 +2782,7 @@ def _get_registered_timetable(s):
 ):
 scheduler_dag = create_scheduler_dag(dag)

 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end, align=True)
 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end)
 with caplog.at_level(logging.ERROR):
 infos = list(iterator)

Expand Down
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Remove align param from iter dagrun infos#61420

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 Merged

dstandish
merged 3 commits into

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Feb 4, 2026
 Merged


Remove align param from iter dagrun infos
#61420
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7468b10

Remove align param from iter dagrun infos


dstandish Feb 3, 2026
d71086e

update tests


dstandish Feb 4, 2026
333da4f

ensure we include the passed in run


dstandish Feb 4, 2026

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7 changes: 4 additions & 3 deletions
airflow-core/src/airflow/api/common/mark_tasks.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -185,11 +185,12 @@ def get_run_ids(dag: SerializedDAG, run_id: str, future: bool, past: bool, sessi
 elif not dag.timetable.periodic:
 run_ids = [run_id]
 else:
 dates = [
 dates = {current_logical_date}
 dates.update(
 info.logical_date
 for info in dag.iter_dagrun_infos_between(start_date, end_date, align=False)
 for info in dag.iter_dagrun_infos_between(start_date, end_date)
 if info.logical_date # todo: AIP-76 this will not find anything where logical date is null
]
)
 run_ids = [dr.run_id for dr in DagRun.find(dag_id=dag.dag_id, logical_date=dates, session=session)]
 return run_ids

Expand Down

22 changes: 0 additions & 22 deletions
airflow-core/src/airflow/serialization/definitions/dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -434,26 +434,13 @@ def iter_dagrun_infos_between(
 self,
 earliest: datetime.datetime | None,
 latest: datetime.datetime,
 *,
 align: bool = True,
 ) -> Iterable[DagRunInfo]:
 """
 Yield DagRunInfo using this DAG's timetable between given interval.

 DagRunInfo instances yielded if their ``logical_date`` is not earlier
 than ``earliest``, nor later than ``latest``. The instances are ordered
 by their ``logical_date`` from earliest to latest.

 If ``align`` is ``False``, the first run will happen immediately on
 ``earliest``, even if it does not fall on the logical timetable schedule.
 The default is ``True``.

 Example: A DAG is scheduled to run every midnight (``0 0 * * *``). If
 ``earliest`` is ``2021-06-03 23:00:00``, the first DagRunInfo would be
 ``2021-06-03 23:00:00`` if ``align=False``, and ``2021-06-04 00:00:00``
 if ``align=True``.

 # see issue https://github.com/apache/airflow/issues/60455
 """
 if isinstance(self.timetable, CronPartitionTimetable):
 # todo: AIP-76 need to update this so that it handles partitions
Expand DownExpand Up@@ -481,21 +468,12 @@ def iter_dagrun_infos_between(
 info = None

 if info is None:
 # No runs to be scheduled between the user-supplied timeframe. But
 # if align=False, "invent" a data interval for the timeframe itself.
 if not align:
 yield DagRunInfo.interval(earliest, latest)
 return

 if TYPE_CHECKING:
 # todo: AIP-76 after updating this function for partitions, this may not be true
 assert info.data_interval is not None

 # If align=False and earliest does not fall on the timetable's logical
 # schedule, "invent" a data interval for it.
 if not align and info.logical_date != earliest:
 yield DagRunInfo.interval(earliest, info.data_interval.start)

 # Generate naturally according to schedule.
 while info is not None:
 yield info
Expand Down

3 changes: 1 addition & 2 deletions
airflow-core/tests/unit/models/test_dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2746,7 +2746,6 @@ def test_iter_dagrun_infos_between(start_date, expected_infos):
 iterator = create_scheduler_dag(dag).iter_dagrun_infos_between(
 earliest=pendulum.instance(start_date),
 latest=pendulum.instance(DEFAULT_DATE),
 align=True,
 )
 assert expected_infos == list(iterator)

Expand DownExpand Up@@ -2783,7 +2782,7 @@ def _get_registered_timetable(s):
 ):
 scheduler_dag = create_scheduler_dag(dag)

 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end, align=True)
 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end)
 with caplog.at_level(logging.ERROR):
 infos = list(iterator)

Expand Down
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Remove align param from iter dagrun infos#61420

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 Merged

dstandish
merged 3 commits into

from

Feb 4, 2026
 Merged


Remove align param from iter dagrun infos
#61420
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7468b10

Remove align param from iter dagrun infos


dstandish Feb 3, 2026
d71086e

update tests


dstandish Feb 4, 2026
333da4f

ensure we include the passed in run


dstandish Feb 4, 2026

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7 changes: 4 additions & 3 deletions
airflow-core/src/airflow/api/common/mark_tasks.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -185,11 +185,12 @@ def get_run_ids(dag: SerializedDAG, run_id: str, future: bool, past: bool, sessi
 elif not dag.timetable.periodic:
 run_ids = [run_id]
 else:
 dates = [
 dates = {current_logical_date}
 dates.update(
 info.logical_date
 for info in dag.iter_dagrun_infos_between(start_date, end_date, align=False)
 for info in dag.iter_dagrun_infos_between(start_date, end_date)
 if info.logical_date # todo: AIP-76 this will not find anything where logical date is null
]
)
 run_ids = [dr.run_id for dr in DagRun.find(dag_id=dag.dag_id, logical_date=dates, session=session)]
 return run_ids

Expand Down

22 changes: 0 additions & 22 deletions
airflow-core/src/airflow/serialization/definitions/dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -434,26 +434,13 @@ def iter_dagrun_infos_between(
 self,
 earliest: datetime.datetime | None,
 latest: datetime.datetime,
 *,
 align: bool = True,
 ) -> Iterable[DagRunInfo]:
 """
 Yield DagRunInfo using this DAG's timetable between given interval.

 DagRunInfo instances yielded if their ``logical_date`` is not earlier
 than ``earliest``, nor later than ``latest``. The instances are ordered
 by their ``logical_date`` from earliest to latest.

 If ``align`` is ``False``, the first run will happen immediately on
 ``earliest``, even if it does not fall on the logical timetable schedule.
 The default is ``True``.

 Example: A DAG is scheduled to run every midnight (``0 0 * * *``). If
 ``earliest`` is ``2021-06-03 23:00:00``, the first DagRunInfo would be
 ``2021-06-03 23:00:00`` if ``align=False``, and ``2021-06-04 00:00:00``
 if ``align=True``.

 # see issue https://github.com/apache/airflow/issues/60455
 """
 if isinstance(self.timetable, CronPartitionTimetable):
 # todo: AIP-76 need to update this so that it handles partitions
Expand DownExpand Up@@ -481,21 +468,12 @@ def iter_dagrun_infos_between(
 info = None

 if info is None:
 # No runs to be scheduled between the user-supplied timeframe. But
 # if align=False, "invent" a data interval for the timeframe itself.
 if not align:
 yield DagRunInfo.interval(earliest, latest)
 return

 if TYPE_CHECKING:
 # todo: AIP-76 after updating this function for partitions, this may not be true
 assert info.data_interval is not None

 # If align=False and earliest does not fall on the timetable's logical
 # schedule, "invent" a data interval for it.
 if not align and info.logical_date != earliest:
 yield DagRunInfo.interval(earliest, info.data_interval.start)

 # Generate naturally according to schedule.
 while info is not None:
 yield info
Expand Down

3 changes: 1 addition & 2 deletions
airflow-core/tests/unit/models/test_dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2746,7 +2746,6 @@ def test_iter_dagrun_infos_between(start_date, expected_infos):
 iterator = create_scheduler_dag(dag).iter_dagrun_infos_between(
 earliest=pendulum.instance(start_date),
 latest=pendulum.instance(DEFAULT_DATE),
 align=True,
 )
 assert expected_infos == list(iterator)

Expand DownExpand Up@@ -2783,7 +2782,7 @@ def _get_registered_timetable(s):
 ):
 scheduler_dag = create_scheduler_dag(dag)

 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end, align=True)
 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end)
 with caplog.at_level(logging.ERROR):
 infos = list(iterator)

Expand Down
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Remove align param from iter dagrun infos
#61420
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7468b10

Remove align param from iter dagrun infos


dstandish Feb 3, 2026
d71086e

update tests


dstandish Feb 4, 2026
333da4f

ensure we include the passed in run


dstandish Feb 4, 2026

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7 changes: 4 additions & 3 deletions
airflow-core/src/airflow/api/common/mark_tasks.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -185,11 +185,12 @@ def get_run_ids(dag: SerializedDAG, run_id: str, future: bool, past: bool, sessi
 elif not dag.timetable.periodic:
 run_ids = [run_id]
 else:
 dates = [
 dates = {current_logical_date}
 dates.update(
 info.logical_date
 for info in dag.iter_dagrun_infos_between(start_date, end_date, align=False)
 for info in dag.iter_dagrun_infos_between(start_date, end_date)
 if info.logical_date # todo: AIP-76 this will not find anything where logical date is null
]
)
 run_ids = [dr.run_id for dr in DagRun.find(dag_id=dag.dag_id, logical_date=dates, session=session)]
 return run_ids

Expand Down

22 changes: 0 additions & 22 deletions
airflow-core/src/airflow/serialization/definitions/dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -434,26 +434,13 @@ def iter_dagrun_infos_between(
 self,
 earliest: datetime.datetime | None,
 latest: datetime.datetime,
 *,
 align: bool = True,
 ) -> Iterable[DagRunInfo]:
 """
 Yield DagRunInfo using this DAG's timetable between given interval.

 DagRunInfo instances yielded if their ``logical_date`` is not earlier
 than ``earliest``, nor later than ``latest``. The instances are ordered
 by their ``logical_date`` from earliest to latest.

 If ``align`` is ``False``, the first run will happen immediately on
 ``earliest``, even if it does not fall on the logical timetable schedule.
 The default is ``True``.

 Example: A DAG is scheduled to run every midnight (``0 0 * * *``). If
 ``earliest`` is ``2021-06-03 23:00:00``, the first DagRunInfo would be
 ``2021-06-03 23:00:00`` if ``align=False``, and ``2021-06-04 00:00:00``
 if ``align=True``.

 # see issue https://github.com/apache/airflow/issues/60455
 """
 if isinstance(self.timetable, CronPartitionTimetable):
 # todo: AIP-76 need to update this so that it handles partitions
Expand DownExpand Up@@ -481,21 +468,12 @@ def iter_dagrun_infos_between(
 info = None

 if info is None:
 # No runs to be scheduled between the user-supplied timeframe. But
 # if align=False, "invent" a data interval for the timeframe itself.
 if not align:
 yield DagRunInfo.interval(earliest, latest)
 return

 if TYPE_CHECKING:
 # todo: AIP-76 after updating this function for partitions, this may not be true
 assert info.data_interval is not None

 # If align=False and earliest does not fall on the timetable's logical
 # schedule, "invent" a data interval for it.
 if not align and info.logical_date != earliest:
 yield DagRunInfo.interval(earliest, info.data_interval.start)

 # Generate naturally according to schedule.
 while info is not None:
 yield info
Expand Down

3 changes: 1 addition & 2 deletions
airflow-core/tests/unit/models/test_dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2746,7 +2746,6 @@ def test_iter_dagrun_infos_between(start_date, expected_infos):
 iterator = create_scheduler_dag(dag).iter_dagrun_infos_between(
 earliest=pendulum.instance(start_date),
 latest=pendulum.instance(DEFAULT_DATE),
 align=True,
 )
 assert expected_infos == list(iterator)

Expand DownExpand Up@@ -2783,7 +2782,7 @@ def _get_registered_timetable(s):
 ):
 scheduler_dag = create_scheduler_dag(dag)

 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end, align=True)
 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end)
 with caplog.at_level(logging.ERROR):
 infos = list(iterator)

Expand Down
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dstandish
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Feb 4, 2026
 Merged


Remove align param from iter dagrun infos
#61420
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7468b10

Remove align param from iter dagrun infos


dstandish Feb 3, 2026
d71086e

update tests


dstandish Feb 4, 2026
333da4f

ensure we include the passed in run


dstandish Feb 4, 2026

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7 changes: 4 additions & 3 deletions
airflow-core/src/airflow/api/common/mark_tasks.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -185,11 +185,12 @@ def get_run_ids(dag: SerializedDAG, run_id: str, future: bool, past: bool, sessi
 elif not dag.timetable.periodic:
 run_ids = [run_id]
 else:
 dates = [
 dates = {current_logical_date}
 dates.update(
 info.logical_date
 for info in dag.iter_dagrun_infos_between(start_date, end_date, align=False)
 for info in dag.iter_dagrun_infos_between(start_date, end_date)
 if info.logical_date # todo: AIP-76 this will not find anything where logical date is null
]
)
 run_ids = [dr.run_id for dr in DagRun.find(dag_id=dag.dag_id, logical_date=dates, session=session)]
 return run_ids

Expand Down

22 changes: 0 additions & 22 deletions
airflow-core/src/airflow/serialization/definitions/dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -434,26 +434,13 @@ def iter_dagrun_infos_between(
 self,
 earliest: datetime.datetime | None,
 latest: datetime.datetime,
 *,
 align: bool = True,
 ) -> Iterable[DagRunInfo]:
 """
 Yield DagRunInfo using this DAG's timetable between given interval.

 DagRunInfo instances yielded if their ``logical_date`` is not earlier
 than ``earliest``, nor later than ``latest``. The instances are ordered
 by their ``logical_date`` from earliest to latest.

 If ``align`` is ``False``, the first run will happen immediately on
 ``earliest``, even if it does not fall on the logical timetable schedule.
 The default is ``True``.

 Example: A DAG is scheduled to run every midnight (``0 0 * * *``). If
 ``earliest`` is ``2021-06-03 23:00:00``, the first DagRunInfo would be
 ``2021-06-03 23:00:00`` if ``align=False``, and ``2021-06-04 00:00:00``
 if ``align=True``.

 # see issue https://github.com/apache/airflow/issues/60455
 """
 if isinstance(self.timetable, CronPartitionTimetable):
 # todo: AIP-76 need to update this so that it handles partitions
Expand DownExpand Up@@ -481,21 +468,12 @@ def iter_dagrun_infos_between(
 info = None

 if info is None:
 # No runs to be scheduled between the user-supplied timeframe. But
 # if align=False, "invent" a data interval for the timeframe itself.
 if not align:
 yield DagRunInfo.interval(earliest, latest)
 return

 if TYPE_CHECKING:
 # todo: AIP-76 after updating this function for partitions, this may not be true
 assert info.data_interval is not None

 # If align=False and earliest does not fall on the timetable's logical
 # schedule, "invent" a data interval for it.
 if not align and info.logical_date != earliest:
 yield DagRunInfo.interval(earliest, info.data_interval.start)

 # Generate naturally according to schedule.
 while info is not None:
 yield info
Expand Down

3 changes: 1 addition & 2 deletions
airflow-core/tests/unit/models/test_dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2746,7 +2746,6 @@ def test_iter_dagrun_infos_between(start_date, expected_infos):
 iterator = create_scheduler_dag(dag).iter_dagrun_infos_between(
 earliest=pendulum.instance(start_date),
 latest=pendulum.instance(DEFAULT_DATE),
 align=True,
 )
 assert expected_infos == list(iterator)

Expand DownExpand Up@@ -2783,7 +2782,7 @@ def _get_registered_timetable(s):
 ):
 scheduler_dag = create_scheduler_dag(dag)

 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end, align=True)
 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end)
 with caplog.at_level(logging.ERROR):
 infos = list(iterator)

Expand Down
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Remove align param from iter dagrun infos#61420

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 Merged

dstandish
merged 3 commits into

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Feb 4, 2026
 Merged


Remove align param from iter dagrun infos
#61420
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7468b10

Remove align param from iter dagrun infos


dstandish Feb 3, 2026
d71086e

update tests


dstandish Feb 4, 2026
333da4f

ensure we include the passed in run


dstandish Feb 4, 2026

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7 changes: 4 additions & 3 deletions
airflow-core/src/airflow/api/common/mark_tasks.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -185,11 +185,12 @@ def get_run_ids(dag: SerializedDAG, run_id: str, future: bool, past: bool, sessi
 elif not dag.timetable.periodic:
 run_ids = [run_id]
 else:
 dates = [
 dates = {current_logical_date}
 dates.update(
 info.logical_date
 for info in dag.iter_dagrun_infos_between(start_date, end_date, align=False)
 for info in dag.iter_dagrun_infos_between(start_date, end_date)
 if info.logical_date # todo: AIP-76 this will not find anything where logical date is null
]
)
 run_ids = [dr.run_id for dr in DagRun.find(dag_id=dag.dag_id, logical_date=dates, session=session)]
 return run_ids

Expand Down

22 changes: 0 additions & 22 deletions
airflow-core/src/airflow/serialization/definitions/dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -434,26 +434,13 @@ def iter_dagrun_infos_between(
 self,
 earliest: datetime.datetime | None,
 latest: datetime.datetime,
 *,
 align: bool = True,
 ) -> Iterable[DagRunInfo]:
 """
 Yield DagRunInfo using this DAG's timetable between given interval.

 DagRunInfo instances yielded if their ``logical_date`` is not earlier
 than ``earliest``, nor later than ``latest``. The instances are ordered
 by their ``logical_date`` from earliest to latest.

 If ``align`` is ``False``, the first run will happen immediately on
 ``earliest``, even if it does not fall on the logical timetable schedule.
 The default is ``True``.

 Example: A DAG is scheduled to run every midnight (``0 0 * * *``). If
 ``earliest`` is ``2021-06-03 23:00:00``, the first DagRunInfo would be
 ``2021-06-03 23:00:00`` if ``align=False``, and ``2021-06-04 00:00:00``
 if ``align=True``.

 # see issue https://github.com/apache/airflow/issues/60455
 """
 if isinstance(self.timetable, CronPartitionTimetable):
 # todo: AIP-76 need to update this so that it handles partitions
Expand DownExpand Up@@ -481,21 +468,12 @@ def iter_dagrun_infos_between(
 info = None

 if info is None:
 # No runs to be scheduled between the user-supplied timeframe. But
 # if align=False, "invent" a data interval for the timeframe itself.
 if not align:
 yield DagRunInfo.interval(earliest, latest)
 return

 if TYPE_CHECKING:
 # todo: AIP-76 after updating this function for partitions, this may not be true
 assert info.data_interval is not None

 # If align=False and earliest does not fall on the timetable's logical
 # schedule, "invent" a data interval for it.
 if not align and info.logical_date != earliest:
 yield DagRunInfo.interval(earliest, info.data_interval.start)

 # Generate naturally according to schedule.
 while info is not None:
 yield info
Expand Down

3 changes: 1 addition & 2 deletions
airflow-core/tests/unit/models/test_dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2746,7 +2746,6 @@ def test_iter_dagrun_infos_between(start_date, expected_infos):
 iterator = create_scheduler_dag(dag).iter_dagrun_infos_between(
 earliest=pendulum.instance(start_date),
 latest=pendulum.instance(DEFAULT_DATE),
 align=True,
 )
 assert expected_infos == list(iterator)

Expand DownExpand Up@@ -2783,7 +2782,7 @@ def _get_registered_timetable(s):
 ):
 scheduler_dag = create_scheduler_dag(dag)

 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end, align=True)
 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end)
 with caplog.at_level(logging.ERROR):
 infos = list(iterator)

Expand Down
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}
/* Restore images, videos, iframes, canvas */
img, video, iframe, canvas, svg, picture, [style*="background-image"] {
filter: invert(1) hue-rotate(180deg) !important;
}
/* Preserve specific elements that should not be inverted */
.no-dark-mode, .no-dark-mode *,
[data-theme="light"], [data-theme="light"],
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pre code, pre code * {
filter: none !important;
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Remove align param from iter dagrun infos#61420

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 Merged

dstandish
merged 3 commits into

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Feb 4, 2026
 Merged


Remove align param from iter dagrun infos
#61420
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7468b10

Remove align param from iter dagrun infos


dstandish Feb 3, 2026
d71086e

update tests


dstandish Feb 4, 2026
333da4f

ensure we include the passed in run


dstandish Feb 4, 2026

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7 changes: 4 additions & 3 deletions
airflow-core/src/airflow/api/common/mark_tasks.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -185,11 +185,12 @@ def get_run_ids(dag: SerializedDAG, run_id: str, future: bool, past: bool, sessi
 elif not dag.timetable.periodic:
 run_ids = [run_id]
 else:
 dates = [
 dates = {current_logical_date}
 dates.update(
 info.logical_date
 for info in dag.iter_dagrun_infos_between(start_date, end_date, align=False)
 for info in dag.iter_dagrun_infos_between(start_date, end_date)
 if info.logical_date # todo: AIP-76 this will not find anything where logical date is null
]
)
 run_ids = [dr.run_id for dr in DagRun.find(dag_id=dag.dag_id, logical_date=dates, session=session)]
 return run_ids

Expand Down

22 changes: 0 additions & 22 deletions
airflow-core/src/airflow/serialization/definitions/dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -434,26 +434,13 @@ def iter_dagrun_infos_between(
 self,
 earliest: datetime.datetime | None,
 latest: datetime.datetime,
 *,
 align: bool = True,
 ) -> Iterable[DagRunInfo]:
 """
 Yield DagRunInfo using this DAG's timetable between given interval.

 DagRunInfo instances yielded if their ``logical_date`` is not earlier
 than ``earliest``, nor later than ``latest``. The instances are ordered
 by their ``logical_date`` from earliest to latest.

 If ``align`` is ``False``, the first run will happen immediately on
 ``earliest``, even if it does not fall on the logical timetable schedule.
 The default is ``True``.

 Example: A DAG is scheduled to run every midnight (``0 0 * * *``). If
 ``earliest`` is ``2021-06-03 23:00:00``, the first DagRunInfo would be
 ``2021-06-03 23:00:00`` if ``align=False``, and ``2021-06-04 00:00:00``
 if ``align=True``.

 # see issue https://github.com/apache/airflow/issues/60455
 """
 if isinstance(self.timetable, CronPartitionTimetable):
 # todo: AIP-76 need to update this so that it handles partitions
Expand DownExpand Up@@ -481,21 +468,12 @@ def iter_dagrun_infos_between(
 info = None

 if info is None:
 # No runs to be scheduled between the user-supplied timeframe. But
 # if align=False, "invent" a data interval for the timeframe itself.
 if not align:
 yield DagRunInfo.interval(earliest, latest)
 return

 if TYPE_CHECKING:
 # todo: AIP-76 after updating this function for partitions, this may not be true
 assert info.data_interval is not None

 # If align=False and earliest does not fall on the timetable's logical
 # schedule, "invent" a data interval for it.
 if not align and info.logical_date != earliest:
 yield DagRunInfo.interval(earliest, info.data_interval.start)

 # Generate naturally according to schedule.
 while info is not None:
 yield info
Expand Down

3 changes: 1 addition & 2 deletions
airflow-core/tests/unit/models/test_dag.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2746,7 +2746,6 @@ def test_iter_dagrun_infos_between(start_date, expected_infos):
 iterator = create_scheduler_dag(dag).iter_dagrun_infos_between(
 earliest=pendulum.instance(start_date),
 latest=pendulum.instance(DEFAULT_DATE),
 align=True,
 )
 assert expected_infos == list(iterator)

Expand DownExpand Up@@ -2783,7 +2782,7 @@ def _get_registered_timetable(s):
 ):
 scheduler_dag = create_scheduler_dag(dag)

 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end, align=True)
 iterator = scheduler_dag.iter_dagrun_infos_between(earliest=start, latest=end)
 with caplog.at_level(logging.ERROR):
 infos = list(iterator)

Expand Down
Loading