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Bugfix/union data type comp #22
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@fivetran-joemarkiewicz A few comments and suggestions before approval.
It also looks as if BigQuery failed in Buildkite due to an inablity to delete the schema, so you'll likely have to bump up the schemas and push again.
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@fivetran-joemarkiewicz Sorry just noticed one other thing in one of the new tests.
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@fivetran-avinash thanks for the thorough review! I answered all of your comments, but didn't make direct code changes for all of them. Let me know if you have any questions or would like to discuss further the comments where I didn't make code changes.
Additionally, when investigating the offset_gl_account_no
comment, I realized we should probably make this a breaking changes since this will be changing the datatype for customers. These updates were applied.
Hi @fivetran-joemarkiewicz and @fivetran-avinash, thank you for your efforts on this! Can we have an idea as to when this can be resolved? We're using this dbt package at the moment, and are experiencing the errors. |
Hi @ryan-systematik this will likely be resolved either today or tomorrow. |
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Ship it!
PR Overview
This PR will address the following Issue/Feature: Internal issue raised for incompatible data types in ap_ar_enhanced union
This PR will result in the following new package version:
v0.4.0
This will not be a breaking change as it is simply enforcing the datatype that it is already defined as. Some customers experienced the upstream datatypes mismatching. However, for those users this model never succeeded. For users that have seen success, there will be no changes noticed.
Please provide the finalized CHANGELOG entry which details the relevant changes included in this PR:
PR Checklist
Basic Validation
Please acknowledge that you have successfully performed the following commands locally:
Before marking this PR as "ready for review" the following have been applied:
Detailed Validation
Please share any and all of your validation steps:
Please run the
devprodtest
command to see the validations are succeeding as expected. Below are the results, and you may inspect the code within thetests
folder.Further, I was able to update the seed files to recreate the issue and also was able to recreate the issue in the customers environment. Upon applying these changes, the issue is now resolved. Additionally, I did inspect the other fields to determine if similar casting would be needed. Fortunately, we cast all the other suspect fields as strings in the upstream models. Therefore, no additional casting will be necessary.
Before changes
After changes
Please note, this release was made within the transform so Quickstart users will be able to access the fix ASAP.
If you had to summarize this PR in an emoji, which would it be?
🧪