Fix Dag run duration stats crash on PostgreSQL 14+ - #70833
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vatsrahul1001 merged 1 commit intoAug 3, 2026
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PostgreSQL 14 changed EXTRACT(epoch FROM ...) to return numeric rather than double precision, so DagRun.duration is hydrated as Decimal on Postgres 14+. The duration-stats percentile interpolation then multiplies a Decimal by a float, which Python disallows, so the Dag run stats endpoint raises a TypeError for any Dag that has completed runs.
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LGTM, verified on my end as well |
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Backport successfully created: v3-3-testNote: As of Merging PRs targeted for Airflow 3.X In matter of doubt please ask in #release-management Slack channel.
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… (#70964) PostgreSQL 14 changed EXTRACT(epoch FROM ...) to return numeric rather than double precision, so DagRun.duration is hydrated as Decimal on Postgres 14+. The duration-stats percentile interpolation then multiplies a Decimal by a float, which Python disallows, so the Dag run stats endpoint raises a TypeError for any Dag that has completed runs. (cherry picked from commit 30006eb) Co-authored-by: Pierre Jeambrun <pierrejbrun@gmail.com>
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The Dag run duration-stats endpoint crashes with a
TypeErroron PostgreSQL 14 and newer.PostgreSQL 14 changed
EXTRACT(epoch FROM ...)to returnnumericinstead ofdouble precision, soDagRun.durationis hydrated asdecimal.Decimalon Postgres 14+. The percentile interpolation incompute_duration_statsmultiplies that value by afloat, which Python disallows forDecimal(unsupported operand type(s) for *: 'decimal.Decimal' and 'float'), so the endpoint 500s for any Dag that has completed runs.Coercing the durations to
floatup front keeps the computation backend-agnostic (PostgresDecimal, MySQLint, SQLitefloat). Adds a parametrized unit test that reproduces the crash withDecimalinputs and passes with the fix.Was generative AI tooling used to co-author this PR?
Generated-by: Claude Code (Opus 4.8) following the guidelines