Schedule DataFlow Job with Google Cloud Scheduler
Today in this article we shall see how Schedule DataFlow Job with Google Cloud Scheduler triggers a Dataflow batch job.
We shall use the Dataflow job template which we created in our previous article.
We shall try to cover the below aspects while setting up Cloud Scheduler,
What is a Cloud scheduler?
Cloud Scheduler is a fully managed cron job service that helps you
- Schedule all types of Jobs. Examples – Streaming jobs, batch, big data jobs, cloud infrastructure operations, etc.
- Automate the job with resiliency, let’s retry in case of failure.
Create Cloud Scheduler Job
Please create a Cloud Scheduler Job
Please visit the link: https://console.cloud.google.com/cloudscheduler
Once you create a Cloud scheduler job, it lets you fill the below forms which are scheduler job properties.
Configure scheduler job
Let’s start filling the above form with the required parameters,
- Name – Name your job
- Frequency – Define the frequency of the run.
Sample schedule for your reference,
| Schedule | Scheduler pattern | |
| Every Sunday at 23.00 | 0 23 * * 0 | |
| Every Monday at 12 | 0 12 * * 1 | |
| Every Minute | * * * * * | |
- URL – Specify the URL location for the job to be run using a dataflow template.
URL Pattern:
- Body
Below is a sample request body that can be set to call Google Dataflow,
Please add any custom arguments like input file path etc. to the ‘Parameters’ section as per your requirements.
Service Account
Please specify the service account details here. This will be your Dataflow service account.
{service-account-name}@{project-id}.iam.gserviceaccount.com
Scope
The scope can be given as below,
https://www.googleapis.com/auth/cloud-platform
Let’s run the Job from the scheduler window,
If you observe the status in Daflow Runner you shall see your job all the logs and performance metrics of the Job.
That’s All!!
References :
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