Lab: DataStage: Configure a Git server (BitBucket)
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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:
Bitbucket
GitHub
GitLab
Microsoft Team Foundation Server
For more info check out the documentation.
In this lab we'll learn how to integrate DataStage with BitBucket Cloud, a free to register BitBucket platform available at .
This lab consists of the following steps:
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:
Before we start the lab, let's switch to the iis-client
VM and launch Firefox
.
Click on 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
.
Click on DataStage Flow Designer
.
Login with the credentials isadmin
/inf0Xerver
.
This brings up the DataStage Flow Designer
. Click OK
.
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
and User
options.
For the Server
click on the Git
tab and input the following:
Git repo: Your new repo, i.e. https://bitbucket.org:stevemart/datastage-jobs.git
Clone repo path: A new folder name, i.e. bitbucket/stevemart/datastage-jobs
Vendor: BitBucket
For the 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!
Navigate to and click on the "Get it free" button and create an account.
Generate an "App Password" by going to your . Remmeber to give the application password the read/write permission for repositories.