Releases: fivetran/dbt_shopify_source
dbt_shopify_source v0.7.0
🚨 Breaking Changes 🚨:
PR #36 includes the following breaking changes:
- Dispatch update for dbt-utils to dbt-core cross-db macros migration. Specifically
{{ dbt_utils.<macro> }}
have been updated to{{ dbt.<macro> }}
for the below macros:any_value
bool_or
cast_bool_to_text
concat
date_trunc
dateadd
datediff
escape_single_quotes
except
hash
intersect
last_day
length
listagg
position
replace
right
safe_cast
split_part
string_literal
type_bigint
type_float
type_int
type_numeric
type_string
type_timestamp
array_append
array_concat
array_construct
- For
current_timestamp
andcurrent_timestamp_in_utc
macros, the dispatch AND the macro names have been updated to the below, respectively:dbt.current_timestamp_backcompat
dbt.current_timestamp_in_utc_backcompat
- Dependencies on
fivetran/fivetran_utils
have been upgraded, previously[">=0.3.0", "<0.4.0"]
now[">=0.4.0", "<0.5.0"]
.
shopify_source 0.6.0
🎉 dbt v1.0.0 Compatibility 🎉
🚨 Breaking Changes 🚨
-
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
-
The
union_schemas
andunion_databases
variables have been replaced withshopify_union_schemas
andshopify_union_databases
respectively. This allows for multiple packages with the union ability to be used and not locked to a single variable that is used across packages.
dbt_shopify_source 0.5.2
Happy Wednesday!
This release includes the following updates to the dbt_shopify_source
package:
Under the Hood
Rearranged the ordering of the columns within the get_order_columns macro. This ensure the output of the models within the downstream Shopify Holistic Reporting package are easier to understand and interpret. (#29)
Ability to Disable Order Adjustment and Refunds Models
dbt 0.20.0 Compatibility
🎉 dbt 0.20.0 Compatibility 🎉
🚨 This is a breaking change! 🚨 dbt v0.20.0 or greater is required for this release. If you are not ready to upgrade, consider using a previous release of this package.
Additional considerations when upgrading to this package:
- This package utilizes the latest
v0.7.x
release of thedbt-labls/dbt_utils
package. If your project also utilizes a version of thefishtown-analytics/dbt_utils
package then you will receive a duplicate package error. If this is the case you will need to consider upgrading your other packages to be compatible with this update or use a previous release of this package. - Similar to the above point, all previous Fivetran dbt packages utilize the
fishtown-analytics/dbt_utils
package and you will need to upgrade all Fivetran dbt packages to the latest dbt 0.20.0 compatibility releases in order for your packages to run without package conflicts. - For Databricks users this compatibility is currently only available for
>=dbt 0.20.1rc1
. If you want more information on upgrading your dbt-spark version, you can refer to the dbt-spark release for further details.
Fivetran Utils Dependency Update
🚧 Fivetran Utils Dependency Update 🚧
This release includes the following non-breaking changes:
- Update to the
packages.yml
to reference the recently released Fivetran Utils package. This is a necessary update to ensure this package is compatible with previous dbt releases before dbt v0.20.0 updates take place.
README Typo Fix
Happy Monday!
This release includes the following non-breaking changes:
- Typo fix within the README to reference the correct
union_schemas
variable. PR #19
Union Source Data Functionality (Breaking Change)
🚨 BREAKING CHANGE 🚨 Unioning Shopify source data has been a frequent request from package users. This release incorporates just that functionality!
- The ability to union Shopify source data using this package. This is done by utilizing the
union_schema
andunion_databases
variables. A user can add the schemas they would like to union or the databases they would like to union (must be one or the other) together and produce unioned results downstream.
Thanks so much to @DylanBaker for his stellar work on getting this functionality to work in this package! 🎉
Features Updates + custom schema (breaking change 🚨)
This release incorporates the following new features:
- Databricks and Postgres compatibility
- Custom schema integration (breaking change 🚨)
- Addition of the transaction, refund, and order_adjustment source tables!
- Github pages integration
Package Upgrades + dbt Required version
🚨 This release contains breaking changes. Updates include:
- Requiring a specific version of dbt (0.18.0 - 0.20.0), to prevent future issues.
- Some column names have been updated to either align with our naming conventions or be more verbose to provide clarity.
model | current name | proposed name |
---|---|---|
stg_shopify__order | buyer_accepts_marketing | has_buyer_accepted_marketing |
taxes_included | has_taxes_included | |
test | is_test_order | |
stg_shopify__customer | accepts_marketing | has_accepted_marketing |
state | account_state | |
stg_shopify__order_line | gift_card | is_gift_card |
requires_shipping | is_requiring_shipping |