workflows: fix in-cluster job kubectl wait #451
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Links to test runs of workflow changes:
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michi-covalent
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Jul 21, 2021
`kubectl wait --for=condition=complete --timeout=X` behaviour is a bit counterintuitive: it waits until either the job succeeds or timeout is hit. When the job fails, it does not stop waiting: it will continue waiting until timeout is hit. For watching for failures, `--for=condition=failed` should be used. However, this will likewise wait until either the job fails or timeout is hit, and will not stop waiting if the job succeeds. `kubectl wait` unfortunately does not allow waiting for multiple conditions. To work around this, we set up two concurrent background waits for both conditions, and actively wait for the first one to end. This will ensure we do not wait for the whole allocated timeout everytime there is an error during the in-cluster script execution. Signed-off-by: Nicolas Busseneau <[email protected]>
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All test runs passed except EKS (tunnel), but that is because of the consistent failure discussed on Slack here. Since:
=> We are in one of the exception cases to the zero-flakes strategy and do not need to wait to rebase on top of the future (hopefully soon) fix for the EKS (tunnel) workflow. This PR can be marked as |
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aanm
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Sir, this is |
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kubectl wait --for=condition=complete --timeout=Xbehaviour is a bit counterintuitive: it waits until either the job succeeds or timeout is hit. When the job fails, it does not stop waiting: it will continue waiting until timeout is hit.For watching for failures,
--for=condition=failedshould be used. However, this will likewise wait until either the job fails or timeout is hit, and will not stop waiting if the job succeeds.kubectl waitunfortunately does not allow waiting for multiple conditions. To work around this, we set up two concurrent background waits for both conditions, and actively wait for the first one to end.This will ensure we do not wait for the whole allocated timeout everytime there is an error during the in-cluster script execution.