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Ability to Edit Header Values in S3 Bionic Rule Datasets

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It would be nice if we could manually edit/rename the column headers in S3 bionic datasets after they've already been configured:











We recently ran into an issue where S3 bionic rules started breaking because our CRM Accolunt ID was renamed in the source database (Looker). As a result, rules that use this field are no longer working because the header in the S3 set doesn't match the new name. Additionally, if the affected s3 set is part of a Merge or Action, it doesn't seem like we can edit it without removing the dependent sets/actions.





The only solution I've found so far is to rebuild the rule from scratch which isn't ideal when the rules have multiple sets, merges, and transformations.



Thank you for the feedback Calvin. We definitely have this on our roadmap.





Additionally, we also have the following:





To be able to add new columns manually to an S3 dataset task , in addition to the ones that are already configured.





Remove an existing column from an S3 dataset task.





I will keep you updated on the same.



Thanks Jitin, any estimate on timeframe for these improvements? These improvements would be a huge timesaver for us.



Hi Calvin,





The ability to edit the fields/column headers in S3 Dataset task will be available in May release.





Regards,





Jitin



Hi Calvin, The request you have raised is pushed to v6.3 release. For more information go through this article.





 





Thanks for posting and keep posting!



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