This page walks you through setting up a virtual environment for developing and debugging a global application. It is the third section of the Develop and Deploy a Global Application tutorial. In this section, you will set up a demo CockroachDB cluster, initialize the database, and set up a virtual development environment.
Before you begin
Complete the previous section of the tutorial, Create a Multi-Region Database Schema.
Make sure that you have the following installed on your local machine:
movr-flaskrepository. We'll reference the source code in this repository throughout the tutorial.
Set up a demo multi-region CockroachDB cluster
For debugging and development purposes, you can use the
cockroach demo command. This command starts up a secure, nine-node demo cluster.
To set up the demo multi-region cluster, run
cockroach demo, with the
--demo-localityflags. The localities specified below assume GCP region names.
$ cockroach demo \ --nodes=9 \ --demo-locality=region=gcp-us-east1:region=gcp-us-east1:region=gcp-us-east1:\ region=gcp-us-west1:region=gcp-us-west1:region=gcp-us-west1:\ region=gcp-europe-west1:region=gcp-europe-west1:region=gcp-europe-west1 \ --empty
Keep this terminal window open. Closing it will shut down the demo cluster.
Open another terminal window. In the new window, run the following command to load
dbinit.sqlto the demo database. This file contains the
movrdatabase schema that we covered in Create a Multi-Region Database Schema.
$ cockroach sql --url='postgres://demo:<demo_password>@127.0.0.1:26257?sslmode=require' -f dbinit.sql
In the demo cluster terminal, verify that the database schema loaded properly:
> SHOW TABLES;
table_name +------------+ rides users vehicles (3 rows)
In production, you want to start a secure CockroachDB cluster, with nodes on machines located in different areas of the world. For instructions on deploying a multi-region CockroachDB cluster for this application, using CockroachDB Dedicated, see Deploy a Global, Serverless Application.
Set up a virtual development environment
For debugging, use
pipenv, a tool that manages dependencies with
pip and creates virtual environments with
Run the following command to initialize the project's virtual environment:
$ pipenv --three
Pipfilein the current directory, with the requirements needed for the app.
Run the following command to install the packages listed in the
$ pipenv install
Activate the virtual environment:
$ pipenv shell
From this shell, you can run any Python 3 application with the required dependencies that you listed in the
Pipfile, and the environment variables that you listed in the
.envfile. You can exit the shell subprocess at any time with a simple
To test out the application, you can run the server file:
$ python server.py
Navigate to the URL provided to test out the application. By default, this should be http://127.0.0.1:5000/.
In production, you want to containerize your application and deploy it with a deployment orchestration tool, like Kubernetes, or with a serverless deployment service, like Google Cloud Run. We cover deploying the application with Google Cloud Run in Deploy a Global Application.
Now that you've set up a development environment, you can start developing and debugging the application.