Add scheduler.dagruns.not_started gauge metric for late-starting scheduled DagRuns#69086
Open
takayoshi-makabe wants to merge 1 commit into
Open
Add scheduler.dagruns.not_started gauge metric for late-starting scheduled DagRuns#69086takayoshi-makabe wants to merge 1 commit into
takayoshi-makabe wants to merge 1 commit into
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Add a new scheduler.dagruns.not_started gauge metric that tracks scheduled DagRuns that have not started within a configurable threshold. Users can alert on scheduling latency directly via StatsD/OpenTelemetry without writing custom DB queries.
The threshold is configurable via [scheduler] dagrun_late_threshold (default 15.0 seconds), which mirrors the default used by Prefect's MarkLateRuns service (PREFECT_API_SERVICES_LATE_RUNS_AFTER_SECONDS).
DB impact:
Two COUNT(*) queries are added to the existing dagrun_metrics_interval (default 30 s) polling cycle, following the same pattern as _emit_running_dags_metric. The dag table query uses idx_next_dagrun_create_after; the dag_run query relies on the existing idx_dag_run_queued_dags index.
Was generative AI tooling used to co-author this PR?
Claude Code
{pr_number}.significant.rst, in airflow-core/newsfragments. You can add this file in a follow-up commit after the PR is created so you know the PR number.