Skip to content

Fix airflow dags next-execution crashing on --field data_interval.start - #73070

Closed
Eason09053360 wants to merge 1 commit into
apache:mainfrom
Eason09053360:fix-next-execution-field-data-interval-partitioned
Closed

Eason09053360 wants to merge 1 commit into
apache:mainfrom
Eason09053360:fix-next-execution-field-data-interval-partitioned

Conversation

@Eason09053360

Copy link
Copy Markdown
Contributor

Why

airflow dags next-execution <dag_id> --field data_interval.start crashes with a bare
AttributeError: 'NoneType' object has no attribute 'start' on a Dag using a partitioned
timetable.

--field accepts the union of every field any schedule can produce
(airflow-core/src/airflow/cli/cli_config.py ARG_FIELD choices), so a Dag can
always be asked for a name its own schedule leaves empty: DagRunInfo.data_interval is
None for a partitioned timetable, and operator.attrgetter("data_interval.start") walks
straight into it.

Every neighbouring combination already degrades to None instead of raising — asking a
cron Dag for --field partition_key prints None, and so does --field logical_date on a
partitioned Dag, which is defined as exactly data_interval.start if data_interval else None.
So the same value crashes under one name and prints None under the other.

What

airflow-core/src/airflow/cli/commands/dag_command.py — the --field path now resolves the
dotted name through _get_schedule_field, which stops and yields None as soon as the chain
runs out. The --table path is unchanged: it picks its column set from
timetable_partitioned, so it never asks for a field the Dag cannot have.

Output for every field a Dag's schedule does populate is unchanged.

airflow-core/tests/unit/cli/commands/test_dag_command.py — a parametrized test over
data_interval.start / data_interval.end against a CronPartitionTimetable Dag, asserting
None is printed. Both parametrizations fail with the AttributeError without this change.

--field offers every field any schedule can produce, so a Dag can always be
asked for a name its own schedule leaves empty. A partitioned Dag has no data
interval, and the raw attribute walk turned that into a bare traceback rather
than the None the command already prints for the very same value under its
other name, logical_date.

@Vamsi-klu Vamsi-klu left a comment •

Copy link
Copy Markdown

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

​

@potiuk

potiuk commented Sep 25, 2026

Copy link
Copy Markdown
Member

Hello @Eason09053360 - thank you for your contributions to Apache Airflow!

The Airflow community has introduced a limit of 5 open pull requests at a time for contributors without write access to the repository. You currently have 33 open pull requests, so - as a one-time step of introducing the limit - we closed the ones where maintainers have not engaged yet:

These pull requests stay open because maintainers are already engaged in them - they count towards your limit:

This is not a judgement of you or of your changes. We never told contributors before that opening many pull requests at once was a problem, so there is nothing to feel bad about - and nothing is lost: your branches, commits and the review history stay where they are.

What we ask you to do is to make your first prioritization decision: choose which of the pull requests above matter most to you, and reopen them (up to 5 open at a time, including the ones still open) with the "Reopen pull request" button or gh pr reopen <PR_NUMBER> --repo apache/airflow. Reopen the ones you are ready to follow through - keep them rebased, respond to review comments and fix failing checks.

While your pull requests are waiting for review, the most valuable thing you can do is help in other ways - reviewing other contributors' pull requests, helping with issues, and taking part in the discussions on the devlist and Slack.

Why we introduced the limit, what it means for you and how to reopen or restore a pull request is explained in https://github.com/apache/airflow/blob/main/contributing-docs/32_open_pull_request_limit.rst.


Drafted-by: Claude Code (Opus 5); reviewed by @potiuk before posting

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

area:CLI closed because of open PR limit Closed as a one-time step of introducing the open pull request limit

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants