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Ability to Edit Header Values in S3 Bionic Rule Datasets

  • March 1, 2019
  • 4 replies
  • 35 views

cmultanen
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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.

4 replies

jitin_mehndiratta
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.


cmultanen
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  • Author
  • Helper ⭐️
  • April 16, 2019
Thanks Jitin, any estimate on timeframe for these improvements? These improvements would be a huge timesaver for us.


jitin_mehndiratta
Hi Calvin,

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

Regards,

Jitin


sai_ram
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  • Expert ⭐️⭐️
  • May 22, 2019
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!