This example shows how to take an embarrasingly parallel job and run it on Cloud Batch job using C++.

If you are not familiar with the Batch API, we recommend you first read the API overview before starting this guide.

The following steps are included:

1. Create a docker image
2. Upload it to Artifact registry
3. Create the Cloud Batch job

1. Install the gcloud CLI.
2. Install docker.

The instructions are here.

1. [If it does not already exist] Create the artifact repository
2. Build the image locally
3. Tag and push the image to the artifact repository

To run this example, replace the [PROJECT ID] placeholder with the id of your project:

Authorize via gcloud cli

PROJECT_ID=[PROJECT_ID]
LOCATION="us-central1"
REPOSITORY="parallel-repo"

gcloud auth login
gcloud config set project ${PROJECT_ID}
# Create the repository
gcloud artifacts repositories create ${REPOSITORY} \
    --repository-format=docker \
    --location=${LOCATION} \
    --description="Store the example parallel C++ application" \
    --async

parallel-repo                DOCKER  STANDARD_REPOSITORY  Store the example parallel C++ application  us-central1          Google-managed key  2024-05-21T12:39:54  2024-05-21T12:39:54  0

cd batch/parallel/application
docker build --tag=fimsim-image:latest .

cd batch/parallel/application
gcloud builds submit --region=${LOCATION} --tag ${LOCATION}-docker.pkg.dev/${PROJECT_ID}/${REPOSITORY}/finsim-image:latest

1. Replace the imageURI field in application.json

  "runnables": [
      {
          "container": {
              "imageUri": "${LOCATION_ID}-docker.pkg.dev/${PROJECT_ID}/{REPOSITORY}/finsim-image:latest",
          }
      }
  ],

2. Submit the job

gcloud batch jobs submit cpp-finsim-cli-run \
    --config=finsim.json \
    --location=us-central1

3. Check on the job status

gcloud batch jobs describe cpp-finsim-cli-run  --location=us-central1