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activity

GitHub Action

Run Elementary

v1.12 Latest version

Run Elementary

activity

Run Elementary

Monitor your dbt project and be the first to know of data issues

Installation

Copy and paste the following snippet into your .yml file.

              

- name: Run Elementary

uses: elementary-data/run-elementary-action@v1.12

Learn more about this action in elementary-data/run-elementary-action

Choose a version

Elementary GitHub Action

This action allows you to run edr as a GitHub Action.
In order to use this action, you will need to create a workflow within your repository.
To create a new workflow, simply create .github/workflows/elementary.yml within your repository.

If you have not yet installed Elementary's dbt package, please refer to this guide.

Setup

edr requires a dbt connection profile called elementary that points to your Elementary schema in the warehouse. More information on that can be found here. Accordingly, we'll need to provide the action with that profile.

In addition, we recommend that you integrate edr with your dbt project. This will make sure that the used data is kept up-to-date by running Elementary's models ahead of time. Accordingly, we'll need to checkout the dbt project before running the action, and provide its connection profile.

If you already have a profiles.yml in your repository, checkout the repository and pass the environment variables that are used within it to the action. edr will automatically pick up on the profiles.yml file.

- name: Checkout dbt project
  uses: actions/checkout@v3

- name: Run Elementary
  uses: elementary-data/run-elementary-action@v1.12
  env:
    USER: ${{ secrets.USER }} # Used in profiles.yml.
    PASSWORD: ${{ secrets.PASSWORD }}
  with:
    edr-command: ...

If you do not have a profiles.yml in your repository, you can pass the credentials directly to the action. In order to generate the profiles.yml that is needed by edr to operate, run the following command within your dbt project:

dbt run-operation --args '{"method": "github-actions"}' elementary.generate_elementary_cli_profile

Afterwards, fill in the missing fields and copy the output to a secret in your repository. Once you've done that, you can pass the secret to the action.

- name: Checkout dbt project
  uses: actions/checkout@v3

- name: Run Elementary
  uses: elementary-data/run-elementary-action@v1.11
  with:
    profiles-yml: ${{ secrets.ELEMENTARY_PROFILES_YML }}
    edr-command: ...

Usage

Below is a basic example of an Elementary workflow file.
For more information on how to use GitHub workflows.

name: Run Elementary
on:
  # Run the action when a push to the main branch of the repository is made.
  push:
    branches: [ "main", "master" ]

  # Run the action when a pull request to the main branch is opened.
  pull_request:
    branches: [ "main", "master" ]

  # Run the action in a scheduled manner every hour.
  schedule:
    - cron: '0 * * * *'

  # Allows you to run this workflow manually from the Actions tab.
  workflow_dispatch:

jobs:
  elementary:
    runs-on: ubuntu-latest
    steps:
      - name: Checkout dbt project
        uses: actions/checkout@v3

      - name: Run Elementary
        uses: elementary-data/run-elementary-action@v1.11
        with:
          warehouse-type: bigquery # Type of warehouse to use (bigquery, snowflake, redshift, etc.)
          adapter-version: 1.5.0 # The dbt-adapter version that should be used (If not provided the latest version will be used). 
          profiles-yml: ${{ secrets.ELEMENTARY_PROFILES_YML }} # Content of ~/.dbt/profiles.yml, should have an `elementary` profile.
          edr-command:
            edr monitor
              --slack-token "${{ secrets.SLACK_TOKEN }}"
              --slack-channel-name "${{ secrets.SLACK_CHANNEL_NAME }}"
            &&
            edr report
              --file-path "report.html"
            &&
            edr send-report
              --slack-token "${{ secrets.SLACK_TOKEN }}"
              --slack-channel-name "${{ secrets.SLACK_CHANNEL_NAME }}"
              --aws-access-key-id "${{ secrets.AWS_ACCESS_KEY_ID }}"
              --aws-secret-access-key "${{ secrets.AWS_SECRET_ACCESS_KEY }}"
              --s3-bucket-name "${{ secrets.S3_BUCKET_NAME }}"
              --google-service-account-path "/tmp/gcs_keyfile.json"
              --gcs-bucket-name "${{ secrets.GCS_BUCKET_NAME }}"
              --update-bucket-website "true"

          bigquery-keyfile: ${{ secrets.BIGQUERY_KEYFILE }} # If using BigQuery, the content of its keyfile.
          gcs-keyfile: ${{ secrets.GCS_KEYFILE }} # If using GCS, the content of its keyfile.

      - name: Upload report
        uses: actions/upload-artifact@v3
        with:
          name: report.html
          path: report.html

      - name: Upload log
        if: always()
        uses: actions/upload-artifact@v3
        with:
          name: edr.log
          path: edr.log

Configuration

Elementary Profile

Note that the profiles-yml argument needs to be the content of profiles.yml rather than a path to it.
You can create a secret and then pass it.

profiles-yml: ${{ secrets.PROFILES_YML }}

Please make sure to quote any field that may contain special characters (For instance '#$Password\&^').

image

BigQuery Keyfile Authentication

If you're using BigQuery with a key file, supply the bigquery-keyfile argument to the action and make sure your keyfile in the profiles-yml is /tmp/bigquery_keyfile.json.

Snowflake Keyfile Authentication

If you're using Snowflake with a key file, supply the snowflake-keyfile argument to the action and make sure your private_key_path in the profiles-yml is /tmp/snowflake_keyfile.key.

Google Cloud Storage Keyfile

If you want to upload your report to a Google Cloud Storage bucket using send-report, supply the gcs-keyfile argument to the action with the content of your Google service account keyfile. Afterwards, use edr monitor send-report --google-service-account-path /tmp/gcs_keyfile.json to upload the report.

Having trouble?

Please contact us on Slack, we're here to help!