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Fix schedule_tis HA race on try_number/state transitions - #63367

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Related to #57618 and #60330.

This updates DagRun.schedule_tis() to make scheduling more robust under HA scheduler races.

  • Guard TI updates by both:
    • TI.id IN (...)
    • TI still being in a schedulable state (NULL or SCHEDULEABLE_STATES)
  • Reuse one next_try_number expression so behavior is consistent:
    • UP_FOR_RESCHEDULE keeps the same try_number
    • other schedulable states increment try_number
  • Apply the same state guard to EmptyOperator short-circuit updates (SUCCESS) to avoid stale scheduler views overwriting newer state.
  • Keep existing debug mismatch logging, but skip mismatch warnings when row state is no longer SCHEDULED (expected in race/no-op cases).

In HA setups, two schedulers can race on the same TI. A stale scheduler view should not be able to:

  • increment try_number again
  • transition state after another scheduler already moved it to QUEUED / RUNNING / etc.

This change makes those stale updates no-ops.

Tests added

In airflow-core/tests/unit/models/test_dagrun.py:

  1. test_schedule_tis_does_not_increment_try_number_if_ti_already_queued_by_other_scheduler
  2. test_schedule_tis_empty_operator_does_not_short_circuit_if_ti_already_queued
  3. test_schedule_tis_up_for_reschedule_does_not_increment_try_number
  4. test_schedule_tis_is_noop_if_ti_transitions_to_nonschedulable_state_before_update
  5. test_schedule_tis_empty_operator_is_noop_if_ti_already_running
  6. test_schedule_tis_only_one_scheduler_update_succeeds_when_competing

Local validation

  • Targeted new tests: passed
  • Broader -k schedule_tis subset in test_dagrun.py: passed (existing expected xfails unchanged)
  • Ruff on modified files: passed

@sidshas03
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@sidshas03sidshas03 mentioned this pull request Mar 12, 2026
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Doesn't follow PR Criteria https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-quality-criteria especially when your changes clearly are AI generated

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kaxil marked this pull request as draft March 12, 2026 18:43
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Closing this PR.

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sidshas03 deleted the fix-57618-60330-scheduler-race branch March 13, 2026 00:55
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Fix schedule_tis HA race on try_number/state transitions by sidshas03 · Pull Request #63367 · apache/airflow · GitHub
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Fix schedule_tis HA race on try_number/state transitions - #63367
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Related to #57618 and #60330.
This updates DagRun.schedule_tis() to make scheduling more robust under HA scheduler races.
  • Guard TI updates by both:

    • TI.id IN (...)
    • TI still being in a schedulable state (NULL or SCHEDULEABLE_STATES)
  • Reuse one next_try_number expression so behavior is consistent:

    • UP_FOR_RESCHEDULE keeps the same try_number
    • other schedulable states increment try_number
  • Apply the same state guard to EmptyOperator short-circuit updates (SUCCESS) to avoid stale scheduler views overwriting newer state.
  • Keep existing debug mismatch logging, but skip mismatch warnings when row state is no longer SCHEDULED (expected in race/no-op cases).
In HA setups, two schedulers can race on the same TI. A stale scheduler view should not be able to:
  • increment try_number again
  • transition state after another scheduler already moved it to QUEUED / RUNNING / etc.
This change makes those stale updates no-ops.
Tests added
In airflow-core/tests/unit/models/test_dagrun.py:
  1. test_schedule_tis_does_not_increment_try_number_if_ti_already_queued_by_other_scheduler
  2. test_schedule_tis_empty_operator_does_not_short_circuit_if_ti_already_queued
  3. test_schedule_tis_up_for_reschedule_does_not_increment_try_number
  4. test_schedule_tis_is_noop_if_ti_transitions_to_nonschedulable_state_before_update
  5. test_schedule_tis_empty_operator_is_noop_if_ti_already_running
  6. test_schedule_tis_only_one_scheduler_update_succeeds_when_competing
Local validation
  • Targeted new tests: passed
  • Broader -k schedule_tis subset in test_dagrun.py: passed (existing expected xfails unchanged)
  • Ruff on modified files: passed
@sidshas03
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Doesn't follow PR Criteria https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-quality-criteria especially when your changes clearly are AI generated
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Closing this PR.
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Fix schedule_tis HA race on try_number/state transitions by sidshas03 · Pull Request #63367 · apache/airflow · GitHub
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Fix schedule_tis HA race on try_number/state transitions - #63367
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Fix schedule_tis HA race on try_number/state transitions#63367
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Related to #57618 and #60330.
This updates DagRun.schedule_tis() to make scheduling more robust under HA scheduler races.
  • Guard TI updates by both:

    • TI.id IN (...)
    • TI still being in a schedulable state (NULL or SCHEDULEABLE_STATES)
  • Reuse one next_try_number expression so behavior is consistent:

    • UP_FOR_RESCHEDULE keeps the same try_number
    • other schedulable states increment try_number
  • Apply the same state guard to EmptyOperator short-circuit updates (SUCCESS) to avoid stale scheduler views overwriting newer state.
  • Keep existing debug mismatch logging, but skip mismatch warnings when row state is no longer SCHEDULED (expected in race/no-op cases).
In HA setups, two schedulers can race on the same TI. A stale scheduler view should not be able to:
  • increment try_number again
  • transition state after another scheduler already moved it to QUEUED / RUNNING / etc.
This change makes those stale updates no-ops.
Tests added
In airflow-core/tests/unit/models/test_dagrun.py:
  1. test_schedule_tis_does_not_increment_try_number_if_ti_already_queued_by_other_scheduler
  2. test_schedule_tis_empty_operator_does_not_short_circuit_if_ti_already_queued
  3. test_schedule_tis_up_for_reschedule_does_not_increment_try_number
  4. test_schedule_tis_is_noop_if_ti_transitions_to_nonschedulable_state_before_update
  5. test_schedule_tis_empty_operator_is_noop_if_ti_already_running
  6. test_schedule_tis_only_one_scheduler_update_succeeds_when_competing
Local validation
  • Targeted new tests: passed
  • Broader -k schedule_tis subset in test_dagrun.py: passed (existing expected xfails unchanged)
  • Ruff on modified files: passed
@sidshas03
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Doesn't follow PR Criteria https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-quality-criteria especially when your changes clearly are AI generated
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Closing this PR.
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Fix schedule_tis HA race on try_number/state transitions by sidshas03 · Pull Request #63367 · apache/airflow · GitHub
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Fix schedule_tis HA race on try_number/state transitions - #63367
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Related to #57618 and #60330.
This updates DagRun.schedule_tis() to make scheduling more robust under HA scheduler races.
  • Guard TI updates by both:

    • TI.id IN (...)
    • TI still being in a schedulable state (NULL or SCHEDULEABLE_STATES)
  • Reuse one next_try_number expression so behavior is consistent:

    • UP_FOR_RESCHEDULE keeps the same try_number
    • other schedulable states increment try_number
  • Apply the same state guard to EmptyOperator short-circuit updates (SUCCESS) to avoid stale scheduler views overwriting newer state.
  • Keep existing debug mismatch logging, but skip mismatch warnings when row state is no longer SCHEDULED (expected in race/no-op cases).
In HA setups, two schedulers can race on the same TI. A stale scheduler view should not be able to:
  • increment try_number again
  • transition state after another scheduler already moved it to QUEUED / RUNNING / etc.
This change makes those stale updates no-ops.
Tests added
In airflow-core/tests/unit/models/test_dagrun.py:
  1. test_schedule_tis_does_not_increment_try_number_if_ti_already_queued_by_other_scheduler
  2. test_schedule_tis_empty_operator_does_not_short_circuit_if_ti_already_queued
  3. test_schedule_tis_up_for_reschedule_does_not_increment_try_number
  4. test_schedule_tis_is_noop_if_ti_transitions_to_nonschedulable_state_before_update
  5. test_schedule_tis_empty_operator_is_noop_if_ti_already_running
  6. test_schedule_tis_only_one_scheduler_update_succeeds_when_competing
Local validation
  • Targeted new tests: passed
  • Broader -k schedule_tis subset in test_dagrun.py: passed (existing expected xfails unchanged)
  • Ruff on modified files: passed
@sidshas03
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Doesn't follow PR Criteria https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-quality-criteria especially when your changes clearly are AI generated
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Closing this PR.
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Fix schedule_tis HA race on try_number/state transitions by sidshas03 · Pull Request #63367 · apache/airflow · GitHub
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Fix schedule_tis HA race on try_number/state transitions - #63367
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Related to #57618 and #60330.
This updates DagRun.schedule_tis() to make scheduling more robust under HA scheduler races.
  • Guard TI updates by both:

    • TI.id IN (...)
    • TI still being in a schedulable state (NULL or SCHEDULEABLE_STATES)
  • Reuse one next_try_number expression so behavior is consistent:

    • UP_FOR_RESCHEDULE keeps the same try_number
    • other schedulable states increment try_number
  • Apply the same state guard to EmptyOperator short-circuit updates (SUCCESS) to avoid stale scheduler views overwriting newer state.
  • Keep existing debug mismatch logging, but skip mismatch warnings when row state is no longer SCHEDULED (expected in race/no-op cases).
In HA setups, two schedulers can race on the same TI. A stale scheduler view should not be able to:
  • increment try_number again
  • transition state after another scheduler already moved it to QUEUED / RUNNING / etc.
This change makes those stale updates no-ops.
Tests added
In airflow-core/tests/unit/models/test_dagrun.py:
  1. test_schedule_tis_does_not_increment_try_number_if_ti_already_queued_by_other_scheduler
  2. test_schedule_tis_empty_operator_does_not_short_circuit_if_ti_already_queued
  3. test_schedule_tis_up_for_reschedule_does_not_increment_try_number
  4. test_schedule_tis_is_noop_if_ti_transitions_to_nonschedulable_state_before_update
  5. test_schedule_tis_empty_operator_is_noop_if_ti_already_running
  6. test_schedule_tis_only_one_scheduler_update_succeeds_when_competing
Local validation
  • Targeted new tests: passed
  • Broader -k schedule_tis subset in test_dagrun.py: passed (existing expected xfails unchanged)
  • Ruff on modified files: passed
@sidshas03
sidshas03force-pushed
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Doesn't follow PR Criteria https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-quality-criteria especially when your changes clearly are AI generated
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Closing this PR.
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Fix schedule_tis HA race on try_number/state transitions by sidshas03 · Pull Request #63367 · apache/airflow · GitHub
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Fix schedule_tis HA race on try_number/state transitions - #63367
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Fix schedule_tis HA race on try_number/state transitions#63367
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Related to #57618 and #60330.
This updates DagRun.schedule_tis() to make scheduling more robust under HA scheduler races.
  • Guard TI updates by both:

    • TI.id IN (...)
    • TI still being in a schedulable state (NULL or SCHEDULEABLE_STATES)
  • Reuse one next_try_number expression so behavior is consistent:

    • UP_FOR_RESCHEDULE keeps the same try_number
    • other schedulable states increment try_number
  • Apply the same state guard to EmptyOperator short-circuit updates (SUCCESS) to avoid stale scheduler views overwriting newer state.
  • Keep existing debug mismatch logging, but skip mismatch warnings when row state is no longer SCHEDULED (expected in race/no-op cases).
In HA setups, two schedulers can race on the same TI. A stale scheduler view should not be able to:
  • increment try_number again
  • transition state after another scheduler already moved it to QUEUED / RUNNING / etc.
This change makes those stale updates no-ops.
Tests added
In airflow-core/tests/unit/models/test_dagrun.py:
  1. test_schedule_tis_does_not_increment_try_number_if_ti_already_queued_by_other_scheduler
  2. test_schedule_tis_empty_operator_does_not_short_circuit_if_ti_already_queued
  3. test_schedule_tis_up_for_reschedule_does_not_increment_try_number
  4. test_schedule_tis_is_noop_if_ti_transitions_to_nonschedulable_state_before_update
  5. test_schedule_tis_empty_operator_is_noop_if_ti_already_running
  6. test_schedule_tis_only_one_scheduler_update_succeeds_when_competing
Local validation
  • Targeted new tests: passed
  • Broader -k schedule_tis subset in test_dagrun.py: passed (existing expected xfails unchanged)
  • Ruff on modified files: passed
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Doesn't follow PR Criteria https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-quality-criteria especially when your changes clearly are AI generated
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Closing this PR.
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Fix schedule_tis HA race on try_number/state transitions by sidshas03 · Pull Request #63367 · apache/airflow · GitHub
Skip to content
Fix schedule_tis HA race on try_number/state transitions - #63367
Closed
sidshas03 wants to merge 1 commit into
apache:mainfrom 
sidshas03:fix-57618-60330-scheduler-race
Closed
Fix schedule_tis HA race on try_number/state transitions#63367
sidshas03 wants to merge 1 commit into
apache:mainfrom 
sidshas03:fix-57618-60330-scheduler-race
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@sidshas03
@sidshas03sidshas03
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Mar 11, 2026•

edited

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Related to #57618 and #60330.
This updates DagRun.schedule_tis() to make scheduling more robust under HA scheduler races.
  • Guard TI updates by both:

    • TI.id IN (...)
    • TI still being in a schedulable state (NULL or SCHEDULEABLE_STATES)
  • Reuse one next_try_number expression so behavior is consistent:

    • UP_FOR_RESCHEDULE keeps the same try_number
    • other schedulable states increment try_number
  • Apply the same state guard to EmptyOperator short-circuit updates (SUCCESS) to avoid stale scheduler views overwriting newer state.
  • Keep existing debug mismatch logging, but skip mismatch warnings when row state is no longer SCHEDULED (expected in race/no-op cases).
In HA setups, two schedulers can race on the same TI. A stale scheduler view should not be able to:
  • increment try_number again
  • transition state after another scheduler already moved it to QUEUED / RUNNING / etc.
This change makes those stale updates no-ops.
Tests added
In airflow-core/tests/unit/models/test_dagrun.py:
  1. test_schedule_tis_does_not_increment_try_number_if_ti_already_queued_by_other_scheduler
  2. test_schedule_tis_empty_operator_does_not_short_circuit_if_ti_already_queued
  3. test_schedule_tis_up_for_reschedule_does_not_increment_try_number
  4. test_schedule_tis_is_noop_if_ti_transitions_to_nonschedulable_state_before_update
  5. test_schedule_tis_empty_operator_is_noop_if_ti_already_running
  6. test_schedule_tis_only_one_scheduler_update_succeeds_when_competing
Local validation
  • Targeted new tests: passed
  • Broader -k schedule_tis subset in test_dagrun.py: passed (existing expected xfails unchanged)
  • Ruff on modified files: passed
@sidshas03
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Doesn't follow PR Criteria https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-quality-criteria especially when your changes clearly are AI generated
@kaxil
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Closing this PR.
@sidshas03
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March 13, 2026 00:55
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Fix schedule_tis HA race on try_number/state transitions by sidshas03 · Pull Request #63367 · apache/airflow · GitHub
Skip to content
Fix schedule_tis HA race on try_number/state transitions - #63367
Closed
sidshas03 wants to merge 1 commit into
apache:mainfrom 
sidshas03:fix-57618-60330-scheduler-race
Closed
Fix schedule_tis HA race on try_number/state transitions#63367
sidshas03 wants to merge 1 commit into
apache:mainfrom 
sidshas03:fix-57618-60330-scheduler-race
Conversation
@sidshas03
@sidshas03sidshas03
commented
Mar 11, 2026•

edited

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Contributor
Related to #57618 and #60330.
This updates DagRun.schedule_tis() to make scheduling more robust under HA scheduler races.
  • Guard TI updates by both:

    • TI.id IN (...)
    • TI still being in a schedulable state (NULL or SCHEDULEABLE_STATES)
  • Reuse one next_try_number expression so behavior is consistent:

    • UP_FOR_RESCHEDULE keeps the same try_number
    • other schedulable states increment try_number
  • Apply the same state guard to EmptyOperator short-circuit updates (SUCCESS) to avoid stale scheduler views overwriting newer state.
  • Keep existing debug mismatch logging, but skip mismatch warnings when row state is no longer SCHEDULED (expected in race/no-op cases).
In HA setups, two schedulers can race on the same TI. A stale scheduler view should not be able to:
  • increment try_number again
  • transition state after another scheduler already moved it to QUEUED / RUNNING / etc.
This change makes those stale updates no-ops.
Tests added
In airflow-core/tests/unit/models/test_dagrun.py:
  1. test_schedule_tis_does_not_increment_try_number_if_ti_already_queued_by_other_scheduler
  2. test_schedule_tis_empty_operator_does_not_short_circuit_if_ti_already_queued
  3. test_schedule_tis_up_for_reschedule_does_not_increment_try_number
  4. test_schedule_tis_is_noop_if_ti_transitions_to_nonschedulable_state_before_update
  5. test_schedule_tis_empty_operator_is_noop_if_ti_already_running
  6. test_schedule_tis_only_one_scheduler_update_succeeds_when_competing
Local validation
  • Targeted new tests: passed
  • Broader -k schedule_tis subset in test_dagrun.py: passed (existing expected xfails unchanged)
  • Ruff on modified files: passed
@sidshas03
sidshas03force-pushed
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fix-57618-60330-scheduler-race
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3 times, most recently
from
4233546 to
add6ff0CompareMarch 11, 2026 18:25
@sidshas03
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mentioned this pull request
Mar 12, 2026
 Merged

@kaxil
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Doesn't follow PR Criteria https://github.com/apache/airflow/blob/main/contributing-docs/05_pull_requests.rst#pull-request-quality-criteria especially when your changes clearly are AI generated
@kaxil
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marked this pull request as draft
March 12, 2026 18:43
@sidshas03
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Closing this PR.
@sidshas03
sidshas03
deleted the

fix-57618-60330-scheduler-race

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March 13, 2026 00:55
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