How to run gcloud, gsutil and bq using Google Cloud SDK docker image

Pre-requisites

1. (Optional) Visual Studio Code https://code.visualstudio.com/download - You can use Powershell/Command Prompt (Windows) or Bash (MAC OS) but I prefer to use this as it works well for both Windows and MAC OS.
2. Docker https://www.docker.com/products/docker-desktop

Steps

Source

https://cloud.google.com/sdk/docs/downloads-docker

Assume you have installed Docker and Visual Studio Code Open Visual Studio Code → Click on Terminal → New Terminal

Pull the docker image (Version 357.0.0 is used for performance consistency throughout the course, pull the latest if you prefer). It will take a while since the file is quite large (~1GB)

# Pull the docker image

docker pull gcr.io/google.com/cloudsdktool/cloud-sdk:357.0.0

# To check the docker image exists 

docker image ls

Verify the installation

# Check the gcloud version without saving its container file system 
# Refer here fore more info https://docs.docker.com/engine/reference/run/#clean-up---rm 

docker run --rm gcr.io/google.com/cloudsdktool/cloud-sdk:357.0.0 gcloud version

Authenticate

# Run the docker and create a container called "gcloud-config" to store your credentials 

docker run -ti --name gcloud-config gcr.io/google.com/cloudsdktool/cloud-sdk:357.0.0 gcloud auth login 

# Check that container created 

docker ps -a

Run some basic gcloud command, refer here for more tips https://cloud.google.com/sdk/gcloud/reference

# Run a new docker based on volume from the container created above for credential purposes 
# List projects 

docker run --rm --volumes-from gcloud-config gcr.io/google.com/cloudsdktool/cloud-sdk:357.0.0 gcloud projects list

Run some basic gsutil command, refer here for more tips https://cloud.google.com/storage/docs/gsutil/commands/help

# Run a new docker based on volume from the container created above for credential purposes 
# List files in a bucket 

docker run --rm --volumes-from gcloud-config gcr.io/google.com/cloudsdktool/cloud-sdk:357.0.0 gsutil ls gs://chenmingyong_udemy

Run some basic bq command, refer here for more tips https://cloud.google.com/bigquery/docs/bq-command-line-tool

# List the projects 

docker run --rm --volumes-from gcloud-config gcr.io/google.com/cloudsdktool/cloud-sdk:357.0.0 gcloud projects list

# Set your project based on the project id

docker run --rm --volumes-from gcloud-config gcr.io/google.com/cloudsdktool/cloud-sdk:357.0.0 gcloud config set project udemy-325708

# Run sample bq command

docker run --rm --volumes-from gcloud-config gcr.io/google.com/cloudsdktool/cloud-sdk:357.0.0 bq query --nouse_legacy_sql 'SELECT COUNT(*) FROM `bigquery-public-data`.samples.shakespeare'

This is part of my online course on how to kickstart data engineering workflows in Google Cloud Platform (GCP) for beginners, sign up here to watch detailed video explanation! 🤗