diff --git a/.buildkite/pipeline.yml b/.buildkite/pipeline.yml
index aaf4ec0..be4e9ea 100644
--- a/.buildkite/pipeline.yml
+++ b/.buildkite/pipeline.yml
@@ -58,7 +58,7 @@ steps:
commands: |
bash .buildkite/scripts/run_models.sh redshift
- - label: ":bricks: Run Tests - Databricks"
+ - label: ":databricks: Run Tests - Databricks"
key: "run_dbt_databricks"
plugins:
- docker#v3.13.0:
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 418333a..991408e 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,9 +1,35 @@
-# dbt_linkedin_source v0.UPDATE.UPDATE
+# dbt_linkedin_source v0.8.0
+[PR #54](https://github.com/fivetran/dbt_linkedin_source/pull/54) includes the following updates:
- ## Under the Hood:
+## Breaking changes
+- Updated materializations of non-`tmp` staging models from views to tables. This is to bring the materializations into alignment with other ad reporting packages and eliminate errors in Redshift.
+- Updated the name of the source created by this package from `linkedin` to `linkedin_ads`. This was to bring the naming used in this package in alignment with our other ad packages and for compatibility with the union schema feature.
+ - ❗ If you are using this source, you will need to update the name.
+- Updated the following identifiers for consistency with the source name and compatibility with the union schema feature:
+| current | previous |
+|----------|----------|
+| linkedin_ads_account_history_identifier | linkedin_account_history_identifier
+| linkedin_ads_ad_analytics_by_creative_identifier | linkedin_ad_analytics_by_creative_identifier
+| linkedin_ads_campaign_group_history_identifier | linkedin_campaign_group_history_identifier
+| linkedin_ads_campaign_history_identifier | linkedin_campaign_history_identifier
+| linkedin_ads_creative_history_identifier | linkedin_creative_history_identifier
+| linkedin_ads_ad_analytics_by_campaign_identifier | linkedin_ad_analytics_by_campaign_identifier
+
+- If you are using the previous identifier, be sure to update to the current version!
+
+## Feature update 🎉
+- Unioning capability! This adds the ability to union source data from multiple linkedin connectors. Refer to the [Union Multiple Connectors README section](https://github.com/fivetran/dbt_linkedin_source/blob/main/README.md#union-multiple-connectors) for more details.
+
+## Under the hood 🚘
+- 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 the `fivetran_utils.source_relation` macro.
+- Updated tests to account for the new `source_relation` column.
+
+[PR #51](https://github.com/fivetran/dbt_linkedin_source/pull/51) 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](/.github).
+
# dbt_linkedin_source v0.7.0
## 🚨 Breaking Changes 🚨
Due to Linkedin Ads API [change in January 2023](https://learn.microsoft.com/en-us/linkedin/marketing/integrations/recent-changes?view=li-lms-2022-12#january-2023), there have been updates in the Linkedin Ads Fivetran Connector and therefore, updates to this Linkedin package.
diff --git a/README.md b/README.md
index de6962c..1f42faf 100644
--- a/README.md
+++ b/README.md
@@ -47,7 +47,7 @@ If you are **not** using the [Linkedin transformation package](https://github.c
# packages.yml
packages:
- package: fivetran/linkedin_source
- version: [">=0.7.0", "<0.8.0"]
+ version: [">=0.8.0", "<0.9.0"]
```
## Step 3: Define database and schema variables
@@ -61,7 +61,17 @@ vars:
```
## (Optional) Step 4: Additional configurations
- "+e+"Expand for configurations
+### Union multiple connectors
+If you have multiple linkedin connectors in Fivetran and would like to use this package on all of them simultaneously, we have provided functionality to do so. The package will union all of the data together and pass the unioned table into the transformations. You will be able to see which source it came from in the `source_relation` column of each model. To use this functionality, you will need to set either the `linkedin_ads_union_schemas` OR `linkedin_ads_union_databases` variables (cannot do both) in your root `dbt_project.yml` file:
+
+```yml
+vars:
+ linkedin_ads_union_schemas: ['linkedin_usa','linkedin_canada'] # use this if the data is in different schemas/datasets of the same database/project
+ linkedin_ads_union_databases: ['linkedin_usa','linkedin_canada'] # use this if the data is in different databases/projects but uses the same schema name
+```
+Please be aware that the native `source.yml` connection set up in the package will not function when the union schema/database feature is utilized. Although the data will be correctly combined, you will not observe the sources linked to the package models in the Directed Acyclic Graph (DAG). This happens because the package includes only one defined `source.yml`.
+
+To connect your multiple schema/database sources to the package models, follow the steps outlined in the [Union Data Defined Sources Configuration](https://github.com/fivetran/dbt_fivetran_utils/tree/releases/v0.4.latest#union_data-source) section of the Fivetran Utils documentation for the union_data macro. This will ensure a proper configuration and correct visualization of connections in the DAG.
### Switching to Local Currency
Additionally, the package allows you to select whether you want to add in costs in USD or the local currency of the ad. By default, the package uses USD. If you would like to have costs in the local currency, add the following variable to your `dbt_project.yml` file:
@@ -112,8 +122,6 @@ vars:
linkedin_ads_Expand for more details
diff --git a/dbt_project.yml b/dbt_project.yml
index 92c74b3..3ccda7d 100644
--- a/dbt_project.yml
+++ b/dbt_project.yml
@@ -1,18 +1,20 @@
name: 'linkedin_source'
-version: '0.7.0'
+version: '0.8.0'
config-version: 2
require-dbt-version: [">=1.3.0", "<2.0.0"]
models:
linkedin_source:
- +materialized: view
+ tmp:
+ +materialized: view
+schema: linkedin_ads_source
+ +materialized: table
vars:
linkedin_source:
- account_history: "{{ source('linkedin','account_history') }}"
- ad_analytics_by_creative: "{{ source('linkedin','ad_analytics_by_creative') }}"
- campaign_group_history: "{{ source('linkedin','campaign_group_history') }}"
- campaign_history: "{{ source('linkedin','campaign_history') }}"
- creative_history: "{{ source('linkedin','creative_history') }}"
- ad_analytics_by_campaign: "{{ source('linkedin', 'ad_analytics_by_campaign') }}"
+ account_history: "{{ source('linkedin_ads','account_history') }}"
+ ad_analytics_by_creative: "{{ source('linkedin_ads','ad_analytics_by_creative') }}"
+ campaign_group_history: "{{ source('linkedin_ads','campaign_group_history') }}"
+ campaign_history: "{{ source('linkedin_ads','campaign_history') }}"
+ creative_history: "{{ source('linkedin_ads','creative_history') }}"
+ ad_analytics_by_campaign: "{{ source('linkedin_ads', 'ad_analytics_by_campaign') }}"
linkedin_ads__campaign_passthrough_metrics: []
linkedin_ads__creative_passthrough_metrics: []
diff --git a/docs/catalog.json b/docs/catalog.json
index 1be5a87..027f604 100644
--- a/docs/catalog.json
+++ b/docs/catalog.json
@@ -1 +1 @@
-{"metadata": {"dbt_schema_version": "https://schemas.getdbt.com/dbt/catalog/v1.json", "dbt_version": "1.4.0", "generated_at": "2023-03-20T21:25:35.071363Z", "invocation_id": "f9069083-fc54-4414-a789-e1ab8576e426", "env": {}}, "nodes": {"seed.linkedin_source_integration_tests.linkedin_campaign_group_history_data": {"metadata": {"type": "table", "schema": "linkedin_integration_tests_2", "name": "linkedin_campaign_group_history_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"id": {"type": "INT64", "index": 1, "name": "id", "comment": null}, "last_modified_time": {"type": "TIMESTAMP", "index": 2, "name": "last_modified_time", "comment": null}, "account_id": {"type": "INT64", "index": 3, "name": "account_id", "comment": null}, "created_time": {"type": "TIMESTAMP", "index": 4, "name": "created_time", "comment": null}, "name": {"type": "STRING", "index": 5, "name": "name", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 232.0, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 4.0, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.linkedin_source_integration_tests.linkedin_campaign_group_history_data"}, "seed.linkedin_source_integration_tests.linkedin_campaign_history_data": {"metadata": {"type": "table", "schema": "linkedin_integration_tests_2", "name": "linkedin_campaign_history_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"id": {"type": "INT64", "index": 1, "name": "id", "comment": null}, "last_modified_time": {"type": "TIMESTAMP", "index": 2, "name": "last_modified_time", "comment": null}, "account_id": {"type": "INT64", "index": 3, "name": "account_id", "comment": null}, "campaign_group_id": {"type": "INT64", "index": 4, "name": "campaign_group_id", "comment": null}, "created_time": {"type": "TIMESTAMP", "index": 5, "name": "created_time", "comment": null}, "name": {"type": "STRING", "index": 6, "name": "name", "comment": null}, "version_tag": {"type": "INT64", "index": 7, "name": "version_tag", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 7400.0, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 100.0, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.linkedin_source_integration_tests.linkedin_campaign_history_data"}, "seed.linkedin_source_integration_tests.linkedin_creative_history_data": {"metadata": {"type": "table", "schema": "linkedin_integration_tests_2", "name": "linkedin_creative_history_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"id": {"type": "INT64", "index": 1, "name": "id", "comment": null}, "campaign_id": {"type": "INT64", "index": 2, "name": "campaign_id", "comment": null}, "intended_status": {"type": "STRING", "index": 3, "name": "intended_status", "comment": null}, "click_uri": {"type": "STRING", "index": 4, "name": "click_uri", "comment": null}, "last_modified_at": {"type": "TIMESTAMP", "index": 5, "name": "last_modified_at", "comment": null}, "created_time": {"type": "TIMESTAMP", "index": 6, "name": "created_time", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 2400.0, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 100.0, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.linkedin_source_integration_tests.linkedin_creative_history_data"}, "seed.linkedin_source_integration_tests.linkedin_account_history_data": {"metadata": {"type": "table", "schema": "linkedin_integration_tests_2", "name": "linkedin_account_history_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"id": {"type": "INT64", "index": 1, "name": "id", "comment": null}, "last_modified_time": {"type": "TIMESTAMP", "index": 2, "name": "last_modified_time", "comment": null}, "created_time": {"type": "TIMESTAMP", "index": 3, "name": "created_time", "comment": null}, "name": {"type": "STRING", "index": 4, "name": "name", "comment": null}, "currency": {"type": "STRING", "index": 5, "name": "currency", "comment": null}, "version_tag": {"type": "INT64", "index": 6, "name": "version_tag", "comment": null}}, "stats": {"num_bytes": {"id": "num_bytes", "label": "Approximate Size", "value": 882.0, "include": true, "description": "Approximate size of table as reported by BigQuery"}, "num_rows": {"id": "num_rows", "label": "# Rows", "value": 14.0, "include": true, "description": "Approximate count of rows in this table"}, "has_stats": {"id": "has_stats", "label": "Has Stats?", "value": true, "include": false, "description": "Indicates whether there are statistics for this table"}}, "unique_id": "seed.linkedin_source_integration_tests.linkedin_account_history_data"}, "seed.linkedin_source_integration_tests.linkedin_ad_analytics_by_campaign_data": {"metadata": {"type": "table", "schema": "linkedin_integration_tests_2", "name": "linkedin_ad_analytics_by_campaign_data", "database": "dbt-package-testing", "comment": null, "owner": null}, "columns": {"campaign_id": {"type": "INT64", "index": 1, "name": "campaign_id", "comment": null}, "day": {"type": "DATETIME", "index": 2, "name": "day", "comment": null}, "action_clicks": {"type": "INT64", "index": 3, "name": "action_clicks", "comment": null}, "ad_unit_clicks": {"type": "INT64", "index": 4, "name": "ad_unit_clicks", "comment": null}, "approximate_unique_impressions": {"type": "INT64", "index": 5, "name": "approximate_unique_impressions", "comment": null}, "card_clicks": {"type": "INT64", "index": 6, "name": "card_clicks", "comment": null}, "card_impressions": {"type": "INT64", "index": 7, "name": "card_impressions", "comment": null}, "clicks": {"type": "INT64", "index": 8, "name": "clicks", "comment": null}, "comment_likes": {"type": "INT64", "index": 9, "name": "comment_likes", "comment": null}, "comments": {"type": "INT64", "index": 10, "name": "comments", "comment": null}, "company_page_clicks": {"type": "INT64", "index": 11, "name": "company_page_clicks", "comment": null}, 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null}, "landing_page_clicks": {"type": "INT64", "index": 21, "name": "landing_page_clicks", "comment": null}, "lead_generation_mail_contact_info_shares": {"type": "INT64", "index": 22, "name": "lead_generation_mail_contact_info_shares", "comment": null}, "lead_generation_mail_interested_clicks": {"type": "INT64", "index": 23, "name": "lead_generation_mail_interested_clicks", "comment": null}, "likes": {"type": "INT64", "index": 24, "name": "likes", "comment": null}, "one_click_lead_form_opens": {"type": "INT64", "index": 25, "name": "one_click_lead_form_opens", "comment": null}, "one_click_leads": {"type": "INT64", "index": 26, "name": "one_click_leads", "comment": null}, "opens": {"type": "INT64", "index": 27, "name": "opens", "comment": null}, "other_engagements": {"type": "INT64", "index": 28, "name": "other_engagements", "comment": null}, "shares": {"type": "INT64", "index": 29, "name": "shares", "comment": null}, "text_url_clicks": {"type": "INT64", "index": 30, "name": 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"viral_clicks": {"type": "INT64", "index": 40, "name": "viral_clicks", "comment": null}, "viral_comment_likes": {"type": "INT64", "index": 41, "name": "viral_comment_likes", "comment": null}, "viral_comments": {"type": "INT64", "index": 42, "name": "viral_comments", "comment": null}, "viral_company_page_clicks": {"type": "INT64", "index": 43, "name": "viral_company_page_clicks", "comment": null}, "viral_external_website_conversions": {"type": "INT64", "index": 44, "name": "viral_external_website_conversions", "comment": null}, "viral_external_website_post_click_conversions": {"type": "INT64", "index": 45, "name": "viral_external_website_post_click_conversions", "comment": null}, "viral_external_website_post_view_conversions": {"type": "INT64", "index": 46, "name": "viral_external_website_post_view_conversions", "comment": null}, "viral_follows": {"type": "INT64", "index": 47, "name": "viral_follows", "comment": null}, "viral_full_screen_plays": {"type": "INT64", "index": 48, "name": 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