im trying to deploy some synapse artifacts to a synapse workspace with devops repo integration via a python runbook. By using the azure-synapse-artifacts library of the python azure sdk the artifacts are published directly to the live mode of the synapse workspace. Is there any way to deploy artifacts to a devops repo branch for synapse? Didnt find any devops repo apis or libaries, just for the direct integration of git.
We can use CICD in this case, as this process will help to move entities from one environment to others, and for this we need to configure our synapse work space as source in GIT.
Below are few straight steps we can follow:
Set up Azure Synapse workspace and configure pipeline in Azure Devops.
Under staging while creating DevOps project, we can select Add Artifacts and select GIT.
Configure the workflow file and add workflow.
You can refer to MS Docs for detailed explanation of each step in achieving this task
Related
I have an Azure Repos project with IaC code and ci/cd yaml pipelines to set up Azure Synapse infrastructure. Can you recommend what is right approach when I integrate the workspace to connect to git? Should I create a new project in Azure Repos for the Synapse artifacts or should I use the same repository as the infrastructure project?
I will be setting up ci/cd pipelines to deploy the azure synapse artifacts as well.
Thanks!
Here's an answer to a similar question I posted:
You'll want to follow Microsoft's guide on CI/CD with Synapse. This is a great walkthrough video for the process.
Work in your development environment and commit to your collaboration branch.
A pipeline triggers off of your workspace_publish branch, releasing your code to your next environment (preferably with an approval gate)
Continue releasing the same code to higher environments, again with approval gates.
For Azure DevOps, you can use variable groups to parameterize your pipeline. Also make sure to read through the custom parameters section on that link to parameterize parts of the template that are not parameterized by default.
I want to do CICD of my Databricks Notebook. Steps I followed.
I have integrated my Databricks with Azure Repos.
Created a Build Artifact using YAML script which will hold my Notebook.
Deployed Build Artifact into Databricks workspace in YAML.
Now I want to
Execute and Schedule the Databricks notebook from the Azure DevOps pipeline itself.
How can setup multiple Environments like Stage, Dev, and Prod using YAML.
My Notebook itself call other notebooks. can I do this?
How can I solve this?
It's doable, and with Databricks Repos you really don't need to create build artifact & deploy it - it's better to use Repos API or databricks repos to update another checkout that will be used for tests.
For testing of notebooks I always recommend to use Nutter library from Microsoft that simplifies testing of notebooks by allowing to trigger their execution from the command-line.
You can include other notebooks using %run directive - it's important to use relative paths instead of absolute paths. You can organize dev/staging/prod either as folders inside the Repos, or as a fully separated environments - it's up to you.
I have a demo of notebooks testing & Repos integration with CI/CD - it contains all necessary instructions how to setup dev/staging/prod + Azure DevOps pipeline that will test notebook & trigger release pipeline.
The only one thing that I want to mention explicitly - for Azure DevOps you will need to use Azure DevOps personal access token because identity passthrough doesn't work with APIs yet.
I want to deploy Azure Resources using GitLab pipelines. resources e.g. Resource Group, storage account, etc. using ARM/Powershell stored in GitLab CI and using GitLab pipelines how can I deploy any Azure resources?
You've to setup gitlab-ci.yml and use it in CI / CD on GitLab.
Please follow this video tutorial from Azure DevOps explaining the process.
This tutorial covers all the steps you mentioned from 1-5.
I am looking for a sample ARM template which can setup my Azure DevOps repository into Azure Databricks. This will help me deploy my Master branch directly on ADB workspace.
I tried to do manually on portal and it works, but the repos path for the notebooks shows my email_id, which is not good in Production.
I want to configure through a Powershell OR an ARM template while creating Databricks. The same problem I am facing on Azure dataFactory as well.
Please help me resolve it.
It's not possible as of today - there is no API for creating a checkout. It will be possible only when Databricks Repos will start to provide corresponding API for creating the checkouts of repositories, not only "Update checkout" API that is available right now.
If you're concerned with the checkout created in your own folder, you can just create a Folder inside Repos, call it like "Production", and then do checkout inside that folder (pictures are taken from my demo of Repos with Azure DevOps):
To deploy Notebooks from your master branch to another workspace, I would recommend to trigger a deployment pipeline from the master branch onto the target databricks worskpace.
That way, no need to setup Repos in the target environment.
You use Repos in your development workspace (with your email in path)
You commit to the branch you work on and eventually merge / PR to master
Once on Master branch, a DevOps pipeline is triggered and deploys the notebook to your target workspace on the path you want
Azure DevOps Pipeline : How to release Project binary file into Azure.
How can I deploy project binary files into server using Azure Pipeline, don't want to release project full source code?
You would do something like this.
create a deployment group
create a build, configure it
create a release, configure it (get artifacts from build, deploy to deployment group)
These are the steps you need to perform. link has more information on this matter