How to deploy the Data Product using the CI/CD pipeline?¶

This section walks you through deploying a data product using a Continuous Integration/Continuous Deployment (CI/CD) pipeline. Follow these steps to set up and execute the deployment process seamlessly.

Make sure to follow the steps given in this section before moving on to the below steps.

Add Data Product configuration files¶

After creating the template, you can now update the template with required configuration files to create the Data Product.

Update User Information¶

Open username_mapping.py in your code editor.
Add your Git username, Bitbucket username, and DataOS user ID in the specified order as shown below:
```
'git_username':'dataos userID'
'bitbucket_username':'dataos userID'
```
You can obtain the DataOS user ID by executing the command:
```
dataos-ctl user get
```

Update Pipeline Configuration¶

Open bitbucket-pipelines.yml in your code editor.
Replace occurrences of the branch name main with your actual Bitbucket repository branch name.
Adjust workspace and schema names as per your requirements.
Update the context environment to reflect your actual working context environment (e.g. emerging-hawk).

Set Repository Variables¶

Navigate to your Bitbucket repository settings.
Go to Repository Settings > Repository variables.
Add repository variables as shown in the image provided, ensuring to input the correct credentials obtained from your DataOS specialist.

Push Changes¶

In your code editor terminal, push the changes to the main branch using an app password.
Pushing the changes will trigger the CI/CD pipeline to start deploying automatically. Alternatively, you can manually initiate the deployment by clicking on the Run pipeline option in the Pipelines section of your Bitbucket repository as shown below.

By following the above steps, you'll successfully deploy your data product using the CI/CD pipeline. If you encounter any issues or need further assistance, don't hesitate to reach out to your DataOS specialist.