PR #24 includes the following BREAKING CHANGE updates:
We have added more robust support for conversions in our data models by doing the following:
- Created a
snapchat_ads__conversion_fields
variable to pass through additional conversion fields in thestg_snapchat_ads__ad_hourly_report
,stg_snapchat_ads__ad_squad_hourly_report
andstg_snapchat_ads__campaign_hourly_report
models.- By default,
snapchat_ads__conversion_fields
will bring in the most used conversion field,conversion_purchases
. See the README for details on how to adjust this.
- By default,
- Brought in the
conversion_purchases_value
field to the above mentionedstg_snapchat_ads__*_hourly_report
models.
IMPORTANT: The above new field additions are breaking changes for users who were not already bringing in conversion fields via passthrough columns.
- Documented how to use the new
snapchat_ads__conversion_fields
variable here. - Added new metrics to
src
andstg
yml files.
- Updated
snapchat_*_hourly_report_data
seed files with relevant conversion fields for more robust testing. - Ensured backwards compatibility with existing passthrough column frameworks by creating
snapchat_ads_add_pass_through_columns
andsnapchat_ads_fill_pass_through_columns
macro checks for whether these conversion fields are already brought in by the existing passthrough variables. This ensures there are no duplicate column errors if both the new conversion variable and the old passthrough variable are leveraged in anystg_snapchat_ads__*_hourly_report*
data model.
PR #20 includes the following updates:
- Unioning capability! This adds the ability to union source data from multiple snapchat_ads connectors. Refer to the Union Multiple Connectors README section for more details.
- Updated tmp models to union source data using the
fivetran_utils.union_data
macro. - To distinguish which source each field comes from, added
source_relation
column in each staging model and applied thefivetran_utils.source_relation
macro. - Updated tests to account for the new
source_relation
column.
PR #17 includes the following updates:
- Incorporated the new
fivetran_utils.drop_schemas_automation
macro into the end of each Buildkite integration test job. - Updated the pull request templates.
PR #15 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"]
.
PR #13 applies the Ad Reporting V2 updates:
- Changes
snapchat_schema
andsnapchat_database
variable names tosnapchat_ads_schema
andsnapchat_ads_database
- Updates model names to prefix with
snapchat_ads
- Adds the
ad_squad_hourly_report
andcampaign_hourly_report
source tables and accompanying staging models - Adds the field descriptions and grain uniqueness tests for the new models
- Adds additional fields to existing models
- Applies README standardization updates
- Introduces the identifier variable for all source models
- Casts all timestamp fields using dbt_utils.type_timestamp()
- Inclusion of passthrough metrics:
snapchat_ads__ad_hourly_passthrough_metrics
snapchat_ads__ad_squad_hourly_passthrough_metrics
snapchat_ads__campaign_hourly_report_passthrough_metrics
This applies to all passthrough columns within the
dbt_snapchat_ads_source
package and not just thesnapchat_ads__ad_hourly_passthrough_metrics
example.
vars:
snapchat_ads__ad_hourly_passthrough_metrics:
- name: "my_field_to_include" # Required: Name of the field within the source.
alias: "field_alias" # Optional: If you wish to alias the field within the staging model.
- Add enable configs for this specific ad platform, for use in the Ad Reporting rollup package
- Includes
updated_at
in uniqueness tests onstg_snapchat__creative_url_tag_history
. This was originally missing, causing erroneous uniqueness test failures on this history table (#10).
🎉 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!