Sync a GitHub repository in Workflow Orchestration Manager

APPLIES TO: Azure Data Factory Azure Synapse Analytics

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Note

Workflow Orchestration Manager is powered by Apache Airflow.

In this article, you learn how to synchronize your GitHub repository in Azure Data Factory Workflow Orchestration Manager in two different ways:

• By using Enable git sync in the Workflow Orchestration Manager UI.
• By using the Rest API.

Prerequisites

• Azure subscription: If you don't have an Azure subscription, create a free Azure account before you begin. Create or select an existing Data Factory instance in a region where the Workflow Orchestration Manager preview is supported.
• GitHub repository: You need access to a GitHub repository.

Use the Workflow Orchestration Manager UI

To sync your GitHub repository by using the Workflow Orchestration Manager UI:

1. Ensure that your repository contains the necessary folders and files:

   • dags/: For Apache Airflow directed acyclic graphs (dags) (required).

   • Plugins/: For integrating external features to Airflow.

     

2. When you create a Workflow Orchestration Manager integration runtime, select Enable git sync in the Airflow environment setup dialog.

   

3. Select one of the following supported Git service types:

   • GitHub
   • ADO
   • GitLab
   • BitBucket

   

4. Select a credential type:

   • None (for a public repo): When you select this option, make sure that your repository's visibility is public. Then fill out the details:

     • Git repo url (required): The clone URL for the GitHub repository you want.
     • Git branch (required): The current branch, where the Git repository you want is located.

   • Git personal access token: After you select this option for a personal access token (PAT), fill out the remaining fields based on the selected Git service type:

     • GitHub personal access token
     • ADO personal access token
     • GitLab personal access token
     • BitBucket personal access token

     

   • SPN (service principal name): Only ADO supports this credential type. After you select this option, fill out the remaining fields based on the selected Git service type:

     • Git repo url (required): The clone URL to the Git repository to sync.
     • Git branch (required): The branch in the repository to sync.
     • Service principal app id (required): The service principal app ID with access to the ADO repo to sync.
     • Service principal secret (required): A manually generated secret in the service principal whose value is used to authenticate and access the ADO repo.
     • Service principal tenant id (required): The service principal tenant ID.

     

5. Fill in the rest of the fields with the required information.

6. Select Create.

Use the REST API

To sync your GitHub repository by using the Rest API:

• Method: PUT

• URL: https://management.azure.com/subscriptions/<subscriptionid>/resourcegroups/<resourceGroupName>/providers/Microsoft.DataFactory/factories/<datafactoryName>/integrationruntimes/<airflowEnvName>?api-version=2018-06-01

• URI parameters:

  Name	In	Required	Type	Description
  Subscription Id	path	True	string	Subscription identifier
  ResourceGroup Name	path	True	string	Resource group name (Regex pattern: ^[-\w\._\(\)]+$)
  dataFactoryName	path	True	string	Name of the Azure Data Factory (Regex pattern: ^[A-Za-z0-9]+(?:-[A-Za-z0-9]+)*$
  airflowEnvName	path	True	string	Name of the Workflow Orchestration Manager environment
  Api-version	query	True	string	The API version

• Request body (Airflow configuration):

  Name	Type	Description
  name	string	Name of the Airflow environment
  properties	propertyType	Configuration properties for the environment

• Properties type:

  Name	Type	Description
  Type	string	The resource type (Airflow in this scenario)
  typeProperties	typeProperty	Airflow

• Type property:

  Name	Type	Description
  computeProperties	computeProperty	Configuration of the compute type used for the environment
  airflowProperties	airflowProperty	Configuration of the Airflow properties for the environment

• Compute property:

  Name	Type	Description
  location	string	The Airflow integration runtime location defaults to the data factory region. To create an integration runtime in a different region, create a new data factory in the required region.
  computeSize	string	The size of the compute node you want your Airflow environment to run on. Examples are Large or Small. Three nodes are allocated initially.
  extraNodes	integer	Each extra node adds three more workers.

• Airflow property:

  Name	Type	Description
  airflowVersion	string	Supported version Apache Airflow. For example, 2.4.3.
  airflowRequirements	Array<string>	Python libraries you want to use. For example, ["flask-bcrypy=0.7.1"]. Can be a comma-delimited list.
  airflowEnvironmentVariables	Object (Key/Value pair)	Environment variables you want to use. For example, { "SAMPLE_ENV_NAME": "test" }.
  gitSyncProperties	gitSyncProperty	Git configuration properties.
  enableAADIntegration	boolean	Allows Microsoft Entra ID to log in to Workflow Orchestration Manager.
  userName	string or null	Username for Basic Authentication.
  password	string or null	Password for Basic Authentication.

• Git sync property:

  Name	Type	Description
  gitServiceType	string	The Git service where your desired repository is located. Values are GitHub, ADO, GitLab, or BitBucket.
  gitCredentialType	string	Type of Git credential. Values are PAT (for personal access token), SPN (supported only by ADO), and None.
  repo	string	Repository link.
  branch	string	Branch to use in the repository.
  username	string	GitHub username.
  Credential	string	Value of the PAT.
  tenantId	string	The service principal tenant ID (supported only by ADO).

• Responses:

  Name	Status code	Type	Description
  Accepted	200	Factory	OK
  Unauthorized	401	Cloud Error	Array with more error details

Examples

Review the following examples.

Sample request:

HTTP
PUT https://management.azure.com/subscriptions/222f1459-6ebd-4896-82ab-652d5f6883cf/resourcegroups/abnarain-rg/providers/Microsoft.DataFactory/factories/ambika-df/integrationruntimes/sample-2?api-version=2018-06-01

Sample body:

{
   "name": "sample-2",
   "properties": {
      "type": "Airflow",
      "typeProperties": {
         "computeProperties": {
            "location": "East US",
            "computeSize": "Large",
            "extraNodes": 0
         },
         "airflowProperties": {
            "airflowVersion": "2.4.3",
            "airflowEnvironmentVariables": {
               "AIRFLOW__TEST__TEST": "test"
            },
            "airflowRequirements": [
               "apache-airflow-providers-microsoft-azure"
            ],
            "enableAADIntegration": true,
            "userName": null,
            "password": null,
            "airflowEntityReferences": []
         }
      }
   }
}

Sample response:

Status code: 200 OK

Response body:

{
   "id": "/subscriptions/xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx/resourceGroups/your-rg/providers/Microsoft.DataFactory/factories/your-df/integrationruntimes/sample-2",
   "name": "sample-2",
   "type": "Microsoft.DataFactory/factories/integrationruntimes",
   "properties": {
      "type": "Airflow",
      "typeProperties": {
         "computeProperties": {
            "location": "East US",
            "computeSize": "Large",
            "extraNodes": 0
         },
         "airflowProperties": {
            "airflowVersion": "2.4.3",
            "pythonVersion": "3.8",
            "airflowEnvironmentVariables": {
               "AIRFLOW__TEST__TEST": "test"
            },
            "airflowWebUrl": "https://e57f7409041692.eastus.airflow.svc.datafactory.azure.com/login/",
            "airflowRequirements": [
               "apache-airflow-providers-microsoft-azure"
            ],
            "airflowEntityReferences": [],
            "packageProviderPath": "plugins",
            "enableAADIntegration": true,
            "enableTriggerers": false
         }
      },
      "state": "Initial"
   },
   "etag": "3402279e-0000-0100-0000-64ecb1cb0000"
}

Here are some API payload examples:

• Git sync properties for GitHub with PAT:

  "gitSyncProperties":  {
          "gitServiceType": "Github",
          "gitCredentialType": "PAT",
          "repo":  <repo url>,
          "branch": <repo branch to sync>,
          "username": <username>,
          "credential": <personal access token>
  }
  

• Git sync properties for ADO with PAT:

  "gitSyncProperties":  {
          "gitServiceType": "ADO",
          "gitCredentialType": "PAT",
          "repo":  <repo url>,
          "branch": <repo branch to sync>,
          "username": <username>,
          "credential": <personal access token>
  }
  

• Git sync properties for ADO with service principal:

  "gitSyncProperties":  {
          "gitServiceType": "ADO",
          "gitCredentialType": "SPN",
          "repo":  <repo url>,
          "branch": <repo branch to sync>,
          "username": < service principal app id >,
          "credential": <service principal secret value>
          "tenantId": <service principal tenant id>
  }
  

• Git sync properties for a GitHub public repo:

  "gitSyncProperties":  {
          "gitServiceType": "Github",
          "gitCredentialType": "None",
          "repo":  <repo url>,
          "branch": <repo branch to sync>
  }
  

Import a private package with Git sync

This optional process only applies when you use private packages.

This process assumes that your private package was autosynced via Git sync. You add the package as a requirement in the Workflow Orchestration Manager UI along with the path prefix /opt/airflow/git/\<repoName\>/, if you're connecting to an ADO repo. Use /opt/airflow/git/\<repoName\>.git/ for all other Git services.

For example, if your private package is in /dags/test/private.whl in a GitHub repo, you should add the requirement /opt/airflow/git/\<repoName\>.git/dags/test/private.whl in the Workflow Orchestration Manager environment.

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