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Handle missing/null serialized DAG dependencies - #16393
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potiuk
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potiuk
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Nice. Could you please add a regression test for that and see that it failed before ? I am always suspicious of changes that have no tests :D
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The PR most likely needs to run full matrix of tests because it modifies parts of the core of Airflow. However, committers might decide to merge it quickly and take the risk. If they don't merge it quickly - please rebase it to the latest main at your convenience, or amend the last commit of the PR, and push it with --force-with-lease. |
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Test added! |
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tests failing :( |
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@uranusjr Pylint failure: Probably rebasing on Master might fix it |
When a serialized DAG is missing a "dag_dependencies" field (possible when upgrading), PostgreSQL would return NULL when accessing the field with a JSON function. This value would fail subsequent code, so we need some logic to handle it.
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Rebased and now the linter is passing. There are a couple of failures in Helm Chart tests: I have no idea what went wrong; seems like flaky network issues? |
Yup, ran those tests locally, all green. |
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When a serialized DAG is missing a
dag_dependenciesfield (possible when upgrading), PostgreSQL would return NULL when accessing the field with a JSON function. This value would fail subsequent code, so we need some logic to handle it.I took the oppertunity to rewrite the entire
get_dag_dependenciesfunction to use iterators. This should slightly improve performance.Fix #16356.