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Skip redundant dag.exceeds_max_non_backfill writes to reduce scheduler/DAG-processor lock contention - #70712

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bujjibabukatta wants to merge 1 commit into
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bujjibabukatta:fix/#70614
Closed

bujjibabukatta wants to merge 1 commit into
apache:mainfrom
bujjibabukatta:fix/#70614

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@bujjibabukatta

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Summary

_set_exceeds_max_active_runs in scheduler_job_runner.py now only
writes dag_model.exceeds_max_non_backfill when the value actually
changes, instead of writing it unconditionally on every call.

Root Cause

As described in #70614, this write can block behind the DAG
processor's SELECT ... FOR UPDATE lock (find_orm_dags in
collection.py), which is held for the whole per-file parse
transaction. Since the flag only flips to True when a DAG is at its
max_active_runs limit, most dagrun completions don't actually change
it — skipping the write in that case avoids the lock contention for
the common case.

This reduces how often the contention happens; it doesn't remove it
entirely, since the write (and the possible block) still happens when
the flag genuinely transitions. The DAG processor's lock scope itself
is untouched — that's a separate, bigger fix.

related: #70614

Was generative AI tooling used to co-author this PR?
  • Yes - Claude

Generated-by: Claude following the guidelines

@bujjibabukatta bujjibabukatta changed the title Fix: skip redundant dag.exceeds_max_non_backfill writes to reduce sch… Skip redundant dag.exceeds_max_non_backfill writes to reduce scheduler/DAG-processor lock contention Jul 30, 2026
@potiuk potiuk added the ready for maintainer review Set after triaging when all criteria pass. label Aug 13, 2026

@steveahnahn steveahnahn left a comment

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Thanks for the work but I couldn't reproduce the write this removes, notes inline, happy to approve if i'm mistaken.

@potiuk potiuk added the closed because of open PR limit Closed as a one-time step of introducing the open pull request limit label Sep 25, 2026
@potiuk

potiuk commented Sep 25, 2026

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Hello @bujjibabukatta - 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 16 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

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3 participants