Merge pull request #13 from fivetran/MagicBot/databricks-compatibility

Feature: Databricks compatibility

.buildkite/hooks/pre-command

@@ -21,4 +21,5 @@ export CI_SNOWFLAKE_DBT_USER=$(gcloud secrets versions access latest --secret="C
 export CI_SNOWFLAKE_DBT_WAREHOUSE=$(gcloud secrets versions access latest --secret="CI_SNOWFLAKE_DBT_WAREHOUSE" --project="dbt-package-testing-363917")
 export CI_DATABRICKS_DBT_HOST=$(gcloud secrets versions access latest --secret="CI_DATABRICKS_DBT_HOST" --project="dbt-package-testing-363917")
 export CI_DATABRICKS_DBT_HTTP_PATH=$(gcloud secrets versions access latest --secret="CI_DATABRICKS_DBT_HTTP_PATH" --project="dbt-package-testing-363917")
-export CI_DATABRICKS_DBT_TOKEN=$(gcloud secrets versions access latest --secret="CI_DATABRICKS_DBT_TOKEN" --project="dbt-package-testing-363917")
+export CI_DATABRICKS_DBT_TOKEN=$(gcloud secrets versions access latest --secret="CI_DATABRICKS_DBT_TOKEN" --project="dbt-package-testing-363917")
+export CI_DATABRICKS_DBT_CATALOG=$(gcloud secrets versions access latest --secret="CI_DATABRICKS_DBT_CATALOG" --project="dbt-package-testing-363917")

.buildkite/pipeline.yml

@@ -57,3 +57,18 @@ steps:
             - "CI_REDSHIFT_DBT_USER"
     commands: |
       bash .buildkite/scripts/run_models.sh redshift
+
+  - label: ":databricks: Run Tests - Databricks"
+    key: "run_dbt_databricks"
+    plugins:
+      - docker#v3.13.0:
+          image: "python:3.8"
+          shell: [ "/bin/bash", "-e", "-c" ]
+          environment:
+            - "BASH_ENV=/tmp/.bashrc"
+            - "CI_DATABRICKS_DBT_HOST"
+            - "CI_DATABRICKS_DBT_HTTP_PATH"
+            - "CI_DATABRICKS_DBT_TOKEN"
+            - "CI_DATABRICKS_DBT_CATALOG"
+    commands: |
+      bash .buildkite/scripts/run_models.sh databricks

CHANGELOG.md

@@ -1,9 +1,11 @@
-# dbt_pardot_source v0.UPDATE.UPDATE
+# dbt_pardot_source v0.6.0
+## 🎉 Feature Update 🎉
+- Databricks compatibility! ([#13](https://github.com/fivetran/dbt_pardot_source/pull/13))
 
- ## Under the Hood:
+## 🚘 Under the Hood 🚘
+- Incorporated the new `fivetran_utils.drop_schemas_automation` macro into the end of each Buildkite integration test job. ([#11](https://github.com/fivetran/dbt_pardot_source/pull/11))
+- Updated the pull request [templates](/.github). ([#11](https://github.com/fivetran/dbt_pardot_source/pull/11))
 
-- 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_pardot_source v0.5.0
 [PR #9](https://github.com/fivetran/dbt_pardot_source/pull/9) includes the following breaking changes:
 ## 🚨 Breaking Changes 🚨:

README.md

@@ -24,15 +24,15 @@
 ## Step 1: Prerequisites
 To use this dbt package, you must have the following:
 - At least one Fivetran Pardot connector syncing data into your destination. 
-- A **BigQuery**, **Snowflake**, **Redshift**, or **PostgreSQL** destination.
+- A **BigQuery**, **Snowflake**, **Redshift**, **PostgreSQL**, or **Databricks** destination.
 
 ## Step 2: Install the package (skip if also using the `pardot` transformation package)
 If you  are **not** using the [Pardot transformation package](https://github.com/fivetran/dbt_pardot), include the following package version in your `packages.yml` file. If you are installing the transform package, the source package is automatically installed as a dependency.
 > TIP: 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.
 ```yaml
 packages:
   - package: fivetran/pardot_source
-    version: [">=0.5.0", "<0.6.0"]
+    version: [">=0.6.0", "<0.7.0"]
 ```
 ## Step 3: Define database and schema variables
 By default, this package runs using your destination and the `pardot` schema. If this is not where your Pardot data is (for example, if your Pardot schema is named `pardot_fivetran`), add the following configuration to your root `dbt_project.yml` file:

dbt_project.yml

@@ -1,5 +1,5 @@
 name: 'pardot_source'
-version: '0.5.0'
+version: '0.6.0'
 config-version: 2
 require-dbt-version: [">=1.3.0", "<2.0.0"]
 models:

integration_tests/ci/sample.profiles.yml

@@ -45,10 +45,10 @@ integration_tests:
       schema: pardot_source_integration_tests
       threads: 8
     databricks:
-      catalog: null
+      catalog: "{{ env_var('CI_DATABRICKS_DBT_CATALOG') }}"
       host: "{{ env_var('CI_DATABRICKS_DBT_HOST') }}"
       http_path: "{{ env_var('CI_DATABRICKS_DBT_HTTP_PATH') }}"
       schema: pardot_source_integration_tests
-      threads: 2
+      threads: 8
       token: "{{ env_var('CI_DATABRICKS_DBT_TOKEN') }}"
       type: databricks

integration_tests/dbt_project.yml

@@ -1,5 +1,5 @@
 name: 'pardot_source_integration_tests'
-version: '0.5.0'
+version: '0.6.0'
 profile: 'integration_tests'
 config-version: 2
 vars:
@@ -15,3 +15,7 @@ vars:
     pardot_opportunity_prospect_identifier: "pardot_opportunity_prospect_data"
 seeds:
   +quote_columns: "{{ true if target.type == 'redshift' else false }}"
+
+dispatch:
+  - macro_namespace: dbt_utils
+    search_order: ['spark_utils', 'dbt_utils']

models/src_pardot.yml

@@ -3,7 +3,7 @@ version: 2
 sources:
   - name: pardot
     schema: "{{ var('pardot_schema', 'pardot') }}"
-    database: "{{ var('pardot_database', target.database) }}"
+    database: "{% if target.type != 'spark' %}{{ var('pardot_database', target.database)}}{% endif %}"
     loader: Fivetran
     loaded_at_field: _fivetran_synced