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

@@ -42,3 +42,33 @@ steps:
             - "CI_REDSHIFT_DBT_USER"
     commands: |
       bash .buildkite/scripts/run_models.sh redshift
+
+  - label: ":postgres: Run Tests - Postgres"
+    key: "run-dbt-postgres"
+    plugins:
+      - docker#v3.13.0:
+          image: "python:3.8"
+          shell: [ "/bin/bash", "-e", "-c" ]
+          environment:
+            - "BASH_ENV=/tmp/.bashrc"
+            - "CI_POSTGRES_DBT_DBNAME"
+            - "CI_POSTGRES_DBT_HOST"
+            - "CI_POSTGRES_DBT_PASS"
+            - "CI_POSTGRES_DBT_USER"
+    commands: |
+      bash .buildkite/scripts/run_models.sh postgres
+
+  - 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_greenhouse_source v0.UPDATE.UPDATE
+# dbt_greenhouse_source v0.6.0
+## 🎉 Feature Update 🎉
+- Databricks and PostgreSQL compatibility! ([#25](https://github.com/fivetran/dbt_greenhouse_source/pull/25))
 
- ## Under the Hood:
+## 🚘 Under the Hood 🚘
+- Incorporated the new `fivetran_utils.drop_schemas_automation` macro into the end of each Buildkite integration test job. ([#23](https://github.com/fivetran/dbt_greenhouse_source/pull/23))
+- Updated the pull request [templates](/.github). ([#23](https://github.com/fivetran/dbt_greenhouse_source/pull/23))
 
-- 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_greenhouse_source v0.5.0
 [PR #20](https://github.com/fivetran/dbt_greenhouse_source/pull/20) includes the following breaking changes:
 ## 🚨 Breaking Changes 🚨:

README.md

@@ -24,16 +24,16 @@
 ## Step 1: Prerequisites
 To use this dbt package, you must have the following:
 - At least one Fivetran Greenhouse connector syncing data into your destination. 
-- A **BigQuery**, **Snowflake**, or **Redshift** destination.
+- A **BigQuery**, **Snowflake**, **Redshift**, **PostgreSQL**, or **Databricks** destination.
 
-## Step 2: Install the package
+## Step 2: Install the package (skip if also using the `greenhouse` transformation package)
 Include the following greenhouse_source package version in your `packages.yml` file.
 > 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/greenhouse_source
-    version: [">=0.5.0", "<0.6.0"]
+    version: [">=0.6.0", "<0.7.0"] # we recommend using ranges to capture non-breaking changes automatically
 ```
 
 ## Step 3: Define database and schema variables

dbt_project.yml

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

integration_tests/ci/sample.profiles.yml

@@ -45,10 +45,10 @@ integration_tests:
       schema: greenhouse_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: greenhouse_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: 'greenhouse_source_integration_tests'
-version: '0.5.0'
+version: 0.6.0
 config-version: 2
 profile: 'integration_tests'
 vars:
@@ -236,3 +236,7 @@ seeds:
     user_email:
       +column_types:
         user_id: "{{ 'int64' if target.type == 'bigquery' else 'bigint' }}"
+
+dispatch:
+  - macro_namespace: dbt_utils
+    search_order: ['spark_utils', 'dbt_utils']

models/src_greenhouse.yml

@@ -2,7 +2,7 @@ version: 2
 
 sources:
   - name: greenhouse 
-    database: "{{ var ('greenhouse_database', target.database) }}"
+    database: "{% if target.type != 'spark' %}{{ var('greenhouse_database', target.database)}}{% endif %}"
     schema: "{{ var ('greenhouse_schema', 'greenhouse') }}"
 
     loader: fivetran