New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Only warn if raw output dataset exists #21

Open

hanslovsky opened this issue May 15, 2019 · 1 comment

Contributor

hanslovsky commented May 15, 2019

Currently, the conversion job fails if a raw output dataset already exists. This is annoying because

it affects the entire job and it is hard to create spark jobs to convert many datasets
just restarting the job will not work because it will fail the same way

Instead, only a warning should be emitted to inform the user that the existing dataset is skipped

Contributor Author

hanslovsky commented Mar 24, 2020

After saalfeldlab/n5#58 is merged and released, this should probably be changed to

fail if exists
overwrite existing if --overwrite is specified (globally or per dataset)
skip existing if --skip-existing is specified (globally or per dataset)

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment