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cloudrun-to-bq

README.md

Cloud Run to BQ Sample

This sample shows how to deploy a application to Cloud Run which gets the data over REST API and inserts to BQ.

Prerequisites

  • A project
  • A service account which needs to be associated with cloud run with below permissions on project
    • roles/bigquery.dataEditor
    • roles/logging.logWriter
  • A service account to run CI/CD, with below permissions on project.
    • "roles/run.admin"
    • "roles/storage.admin"
  • A GCR repo to store docker images

Build

gcloud docker -- build -t <GCR_REPO>/cr-to-bq .

Test Locally

# Store default credentials in docker volume
docker run -ti --name gcloud-config gcr.io/google.com/cloudsdktool/cloud-sdk gcloud auth application-default login

# Run container locally, replace dataset and table names with your dataset and table names
docker run --rm --volumes-from gcloud-config -e BQ_DATASET=person -e BQ_TABLE=person -e GCP_PROJECT=<project_id> --network=host  <GCR_REPO>/cr-to-bq

# Send HTTP Request
curl  -X POST  -H 'Content-Type: application/json' http://localhost:8080/events -d '{"Name": "Tom", "Age": 36}'

{"status":"success"}

Push

gcloud docker -- push <GCR_REPO>/cr-to-bq

Deploy

# Set an environment variable with your GCP Project ID
export GOOGLE_CLOUD_PROJECT=<PROJECT_ID>
export SERVICE_ACCOUNT=<CLOUD_RUN_SA>
export CR_IAMGE=<CR_IAMGE>
export DATASET=<DATASET_NAME>
export TABLE=<TABLE_NAME>

# Deploy to Cloud Run
gcloud run deploy cr-to-bq-service --image $CR_IAMGE --region us-central1 --project $GOOGLE_CLOUD_PROJECT --service-account $SERVICE_ACCOUNT \
--set-env-vars=GCP_PROJECT=$GOOGLE_CLOUD_PROJECT,BQ_DATASET=$DATASET,BQ_TABLE=$TABLE,SERVING_PORT=8080,LOG_LEVEL="INFO"

CI/CD

This sample example includes a cloudbuild.yaml file, which can be directly used to run CI/CD using cloud build. _REPO_NAME and _SA_EMAIL substituion variables present in cloudbuild.yaml can be substituted with CI/CD SA and GCR repo as explained in prerequisites section.