- Addition of the
label
source table. This was necessary as theissue_label
depreciated thelabel
column. The respective label information will now be synced within thelabel
table. (#22)- If you do not have the new
label
table in your source, we highly recommend you enable schema changes on your connector and kick off a resync to see the new tables reflected in your source.
- If you do not have the new
- Added the
{{ dbt_utils.type_timestamp() }}
cast function to timestamp fields within the staging models. This is required for Redshift users that have the fields originally synced astimestamptz
. Without the casting of fields the downstream date functions will fail. (#19)
🎉 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_fivetran_utils
. 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!