You can integrate your Git server with IBM DataStage. This integration allows you to publish jobs and related artifacts to different Git branches and load other versions of a job from Git onto the IBM DataStage Flow Designer canvas.
Using IBM DataStage Flow Designer with Git provides the following benefits:
Helps with Continuous Integration Continuous Delivery (CICD) pipeline automation. Your assets are easily available in Git and you can move them from the development (DEV) branch to quality assurance (QA) to production.
Helps with auditing requirements. You can simply tell who changed what.
You can map a version of a job in the XMETA repository to a version in Git.
You can work on multiple versions of a job by creating temporary branches.
You can easily roll back to a prior version of a job.
The following Git repositories are supported:
Microsoft Team Foundation Server
For more info check out the Managing source control with Git documentation.
In this lab we'll learn how to integrate DataStage with BitBucket Cloud, a free to register BitBucket platform available at https://bitbucket.org/.
This lab consists of the following steps:
Navigate to https://bitbucket.org/ and click on the "Get it free" button and create an account.
Create a new repo, we'll call it
datastage-jobs. Ensure the option to create a
README.md file is selected.
Your new repo should look like this:
Generate an "App Password" by going to your "Personal Settings". Remmeber to give the application password the read/write permission for repositories.
Before we start the lab, let's switch to the
iis-client VM and launch
Classic Launchpad in the Bookmarks tab. The first time you try this out, you might see a certificate error. To get past it, click on
Advanced... and then click
Accept the Risk and Continue.
DataStage Flow Designer.
Login with the credentials
This brings up the
DataStage Flow Designer. Click
From the IBM DataStage Flow Designer, click on the username bubble on the top right. Choose the
Setup option. We'll be configuring the
Server click on the
Git tab and input the following:
Git repo: Your new repo, i.e.
Clone repo path: A new folder name, i.e.
User configuration input the following:
Email address: Your BitBucket email
Username: Your BitBucket username
Personal access token: Your BitBucket app password from the previous step
Load up any existing job or create a new one. Once loaded, click on the
Export button that looks like an upload arrow.
The entire DataStage project will be saved and exported to your configured BitBucket. Enter a specific commit message.
There will be a success message if everything was exported correctly.
Navigate back to your BitBucket repository to see the exported files.
CONGRATULATIONS!! You have completed this lab!