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Version: 3.5 (unsupported)

How to install ScalarDL in your local environment with Docker

This document shows how to set up a local environment that runs ScalarDL along with the back-end Cassandra server using Docker Compose.


Clone scalardl-samples repository

scalar-labs/scalardl-samples repository is a project for users to start working on ScalarDL instantly.

Determine the location on your local machine where you want to run the scalardl-samples app. Then open the terminal and cd to the directory and run the following commands:

$ git clone
$ cd scalardl-samples

Docker login

docker login is required to start the ScalarDL Docker image. Because the scalar-ledger repository on GitHub Container Registry is currently private, your GitHub account needs to be set with permissions to access the container images. Ask a person in charge to get your account ready. Note also that you need to use a personal access token (PAT) as a password to login Please read the official document for more detail.

# read:packages scope needs to be selected in a personal access token to login
$ echo $CR_PAT | docker login -u USERNAME --password-stdin

Start up ScalarDL Ledger

The following command starts up ScalarDL Ledger along with the back-end Cassandra server in the Docker containers. At the first time you run the command, the required Docker images will be downloaded from GitHub Container Registry.

$ docker-compose up

You may want to run the containers in the background. Add the -d (--detach) option:

$ docker-compose up -d

When you want to use Auditor component, run the following command.

$ docker-compose -f docker-compose.yml -f docker-compose-auditor.yml up -d

Shut down ScalarDL Ledger

To shut down the containers:

  • If you started the containers in the foreground, type Ctrl+C in the terminal where docker-compose is running.
  • If you started the containers in the background, run the following command.
$ docker-compose down

# When Auditor is running
$ docker-compose -f docker-compose.yml -f docker-compose-auditor.yml down