Merge pull request #20 from mwhitaker/fishtown-v1.0

Update dbt-action to use dbt v1.0 by default

Dockerfile

@@ -1,10 +1,11 @@
-ARG DBT_VERSION=0.21.0
+ARG DBT_VERSION=1.0.0
 FROM fishtownanalytics/dbt:${DBT_VERSION}
 RUN apt-get update && apt-get install libsasl2-dev
 
 # Need to re-declare the ARG to use its default value defined before the FROM
 ARG DBT_VERSION
 RUN pip install --no-cache-dir --upgrade pip && \
+    pip install dbt-databricks && \
     pip install dbt-spark[PyHive]==${DBT_VERSION}
 
 COPY entrypoint.sh /entrypoint.sh

README.md

@@ -3,8 +3,12 @@
 A GitHub Action to run [dbt](https://www.getdbt.com) commands in a Docker container. It uses the official images provided by [Fishtown Analytics](https://hub.docker.com/r/fishtownanalytics/dbt/tags). You can use [dbt commands](https://docs.getdbt.com/reference/dbt-commands) such as `run`, `test` and `debug`. This action captures the dbt console output for use in subsequent steps.
 
 ### dbt version
+The current version of dbt is 1.0.0. Please note that dbt v1.0.0. may require some changes to your dbt project structure compared to v0.x.x. See the [migration](https://docs.getdbt.com/docs/guides/migration-guide/upgrading-to-1-0-0) docs.
+
 dbt updates their [docker images](https://hub.docker.com/r/fishtownanalytics/dbt/tags?page=1&ordering=last_updated) on a frequent basis and the main branch of this Github Action should be close to the last stable tag. If you need to use an earlier version of dbt, you can call this action with a specific [branch](https://github.com/mwhitaker/dbt-action/branches), eg `mwhitaker/[email protected]` or `mwhitaker/[email protected]`.
 
+You can also reference a [tagged](https://github.com/mwhitaker/dbt-action/releases) release, eg `mwhitaker/[email protected]`.
+
 ## Usage
 
 ```yml