You use parallelism to specify the maximum number of tasks in a job execution
that can run in parallel. By default, tasks will be started as quickly as
possible, up to a maximum that varies depending on how many CPUs
you are using.
Lowering parallelism limits how many tasks run in parallel. This is useful in cases where one of your backing resources, such as a database, has limited scaling and cannot handle a large number of parallel requests.
Required roles
To get the permissions that you need to configure Cloud Run jobs, ask your administrator to grant you the following IAM roles:
- Cloud Run Developer (
roles/run.developer) on the Cloud Run job - Service Account User (
roles/iam.serviceAccountUser) on the service identity
For a list of IAM roles and permissions that are associated with Cloud Run, see Cloud Run IAM roles and Cloud Run IAM permissions. If your Cloud Run job interfaces with Google Cloud APIs, such as Cloud Client Libraries, see the service identity configuration guide. For more information about granting roles, see deployment permissions and manage access.
Configure parallelism
You can configure parallelism for a Cloud Run job using the Google Cloud console, the gcloud CLI, YAML, or Terraform:
Console
In the Google Cloud console, go to the Cloud Run page:
Select Jobs from the Cloud Run navigation menu:
If you are creating a new job, click Deploy container to fill out the initial job settings page.
If you are configuring an existing job, select the job, then click View and edit job configuration.
Click Containers, Connections, Security to expand the job properties page.
In the Parallelism section, select Run as many tasks concurrently as possible for best performance. If you need to lower the number of concurrent tasks, for example, if your backing resources are limited, select Limit the number of concurrent tasks. Then, specify an integer between 0 and the maximum number of tasks running in parallel allowed by quota that don't exceed the number of tasks.
Click Create or Update.
gcloud
To set parallelism when you create a new job, run the following command:
gcloud run jobs create JOB --image IMAGE_URL --parallelism PARALLELISM
Replace the following:
JOB: the name of your Cloud Run job.IMAGE_URL: a reference to the container image—for example,us-docker.pkg.dev/cloudrun/container/job:latest.PARALLELISM: an integer between 0 and the maximum number of tasks running in parallel, allowed by quota, that don't exceed the number of tasks.
To update parallelism for an existing job, run the following command:
gcloud run jobs update JOB --parallelism PARALLELISM
YAML
If you are creating a new job, skip this step. If you are updating an existing job, download its YAML configuration:
gcloud run jobs describe JOB --format export > job.yaml
Update the
parallelism:attribute:apiVersion: run.googleapis.com/v1 kind: Job metadata: name: JOB spec: template: spec: parallelism: PARALLELISM template: spec: containers: - image: IMAGE_URL
Replace the following:
JOB: the name of your Cloud Run job.IMAGE_URL: a reference to the container image—for example,us-docker.pkg.dev/cloudrun/container/job:latest.PARALLELISM: an integer between 0 and the maximum number of tasks running in parallel, allowed by quota, that don't exceed the number of tasks.
You can also specify more configuration such as environment variables or memory limits.
Create or update the job using the following command:
gcloud run jobs replace job.yaml
The
gcloud run jobs replacecommand defaults to usingjob.yamlfile if present.
Terraform
To learn how to apply or remove a Terraform configuration, see Basic Terraform commands.
Add the following to agoogle_cloud_run_v2_job
resource in your Terraform configuration:View parallelism settings
To view the current parallelism settings for your Cloud Run job, use the Google Cloud console or the Google Cloud CLI:
Console
In the Google Cloud console, go to the Cloud Run jobs page:
Click the job to open the Job details page.
Click View and edit job configuration.
Locate the parallelism setting in the configuration details.
gcloud
Run the following command:
gcloud run jobs describe JOB
Locate the parallelism setting in the returned configuration.