Merge pull request #13 from fivetran/MagicBot_01f5094dee

[MagicBot] Bumping package version

README.md

@@ -1,3 +1,4 @@
+[![Apache License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0) ![dbt logo and version](https://img.shields.io/static/v1?logo=dbt&label=dbt-version&message=0.20.x&color=orange)
 # LinkedIn Ad Analytics ([docs](https://fivetran-dbt-linkedin.netlify.app/#!/overview))
 
 This package models LinkedIn Ad Analytics data from [Fivetran's connector](https://fivetran.com/docs/applications/linkedin-ads). It uses data in the format described by [this ERD](https://fivetran.com/docs/applications/linkedin-ads#schemainformation).
@@ -18,6 +19,14 @@ This package contains transformation models, designed to work simultaneously wit
 ## Installation Instructions
 Check [dbt Hub](https://hub.getdbt.com/) for the latest installation instructions, or [read the dbt docs](https://docs.getdbt.com/docs/package-management) for more information on installing packages.
 
+Include in your `packages.yml`
+
+```yaml
+packages:
+  - package: fivetran/linkedin
+    version: [">=0.3.0", "<0.4.0"]
+```
+
 ## Configuration
 By default, this package will look for your LinkedIn Ad Analytics data in the `linkedin_ads` schema of your [target database](https://docs.getdbt.com/docs/running-a-dbt-project/using-the-command-line-interface/configure-your-profile). If this is not where your LinkedIn Ad Analytics data is, please add the following configuration to your `dbt_project.yml` file:
 
@@ -81,6 +90,16 @@ on the best workflow for contributing to a package.
 ## Database Support
 This package has been tested on BigQuery, Snowflake, Redshift, Postgres, and Databricks.
 
+### Databricks Dispatch Configuration
+dbt `v0.20.0` introduced a new project-level dispatch configuration that enables an "override" setting for all dispatched macros. If you are using a Databricks destination with this package you will need to add the below (or a variation of the below) dispatch configuration within your `dbt_project.yml`. This is required in order for the package to accurately search for macros within the `dbt-labs/spark_utils` then the `dbt-labs/dbt_utils` packages respectively.
+```yml
+# dbt_project.yml
+
+dispatch:
+  - macro_namespace: dbt_utils
+    search_order: ['spark_utils', 'dbt_utils']
+```
+
 ## Resources:
 - Provide [feedback](https://www.surveymonkey.com/r/DQ7K7WW) on our existing dbt packages or what you'd like to see next
 - Have questions, feedback, or need help? Book a time during our office hours [using Calendly](https://calendly.com/fivetran-solutions-team/fivetran-solutions-team-office-hours) or email us at [email protected]

dbt_project.yml

@@ -1,22 +1,16 @@
-
 name: 'linkedin'
-version: '0.3.1'
+version: '0.3.0'
 config-version: 2
-require-dbt-version: [">=0.18.0", "<0.20.0"]
-
+require-dbt-version: [">=0.20.0"]
 vars:
-    linkedin: 
-        ad_analytics_by_creative: "{{ ref('stg_linkedin__ad_analytics_by_creative') }}"
-        creative_history: "{{ ref('stg_linkedin__creative_history') }}"
-        campaign_history: "{{ ref('stg_linkedin__campaign_history') }}"
-        campaign_group_history: "{{ ref('stg_linkedin__campaign_group_history') }}"
-        account_history: "{{ ref('stg_linkedin__account_history') }}"
-    dbt_utils_dispatch_list: ['spark_utils', 'fivetran_utils']
-    fivetran_utils_dispatch_list: ['spark_utils']
-
-    linkedin__passthrough_metrics: [] 
-
+  linkedin:
+    ad_analytics_by_creative: "{{ ref('stg_linkedin__ad_analytics_by_creative') }}"
+    creative_history: "{{ ref('stg_linkedin__creative_history') }}"
+    campaign_history: "{{ ref('stg_linkedin__campaign_history') }}"
+    campaign_group_history: "{{ ref('stg_linkedin__campaign_group_history') }}"
+    account_history: "{{ ref('stg_linkedin__account_history') }}"
+  linkedin__passthrough_metrics: []
 models:
-    linkedin:
-        +materialized: table
-        +schema: linkedin
+  linkedin:
+    +materialized: table
+    +schema: linkedin

integration_tests/dbt_project.yml

@@ -1,5 +1,5 @@
 name: 'linkedin_integration_tests'
-version: '0.3.1'
+version: '0.3.0'
 profile: 'integration_tests'
 config-version: 2
 
@@ -36,4 +36,7 @@ seeds:
     linkedin_creative_history_data:
       +column_types:
         created_time: timestamp
-        last_modified_time: timestamp
+        last_modified_time: timestamp
+dispatch:
+  - macro_namespace: dbt_utils
+    search_order: ['spark_utils', 'dbt_utils']

integration_tests/requirements.txt

@@ -1,3 +1,3 @@
-dbt==0.19.1
-dbt-spark==0.19.1
-dbt-spark[PyHive]==0.19.1
+dbt==0.20.0
+dbt-spark==0.20.0
+dbt-spark[PyHive]==0.20.0

packages.yml

@@ -1,3 +1,3 @@
-packages:  
-  - package: fivetran/linkedin_source
-    version: [">=0.2.0", "<0.3.0"]
+packages:
+- package: fivetran/linkedin_source
+  version: [">=0.3.0", "<0.4.0"]