- The addition of the
label
source model results in the reference withinint_github__issue_label
to break. As a result, with the addition of upstream changes withindbt_github_source
and the newint_github__issue_label_join
model this issue has been resolved. (#26)- Please note: It is important you kick off a historical resync of your connector to account for the connector changes from April 2021.
- The
int_github__issue_comment
model was referencing thestg_github__issue_label
model to produce the total count of comments. This has been fixed to correctly reference thestg_github__issue_comment
model instead. (#26)
- All references to the staging models within the package have been updated to refer to the variable instead. This will allow for more dynamic functionality of the package. (#26)
🎉 dbt v1.0.0 Compatibility 🎉
- Adjusts the
require-dbt-version
to now be within the range [">=1.0.0", "<2.0.0"]. Additionally, the package has been updated for dbt v1.0.0 compatibility. If you are using a dbt version <1.0.0, you will need to upgrade in order to leverage the latest version of the package.- For help upgrading your package, I recommend reviewing this GitHub repo's Release Notes on what changes have been implemented since your last upgrade.
- For help upgrading your dbt project to dbt v1.0.0, I recommend reviewing dbt-labs upgrading to 1.0.0 docs for more details on what changes must be made.
- Upgrades the package dependency to refer to the latest
dbt_github_source
. Additionally, the latestdbt_github_source
package has a dependency on the latestdbt_fivetran_utils
. Further, the latestdbt_fivetran_utils
package also has a dependency ondbt_utils
[">=0.8.0", "<0.9.0"].- Please note, if you are installing a version of
dbt_utils
in yourpackages.yml
that is not in the range above then you will encounter a package dependency error.
- Please note, if you are installing a version of
Refer to the relevant release notes on the Github repository for specific details for the previous releases. Thank you!