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How to Install ScalarDB Analytics with PostgreSQL in Your Local Environment by Using Docker

This document explains how to set up a local environment that runs ScalarDB Analytics with PostgreSQL using the multi-storage back-end of Cassandra, PostgreSQL, and DynamoDB local server using Docker Compose.

Prerequisites​

Follow the instructions on the Docker website according to your platform.

Step 1. Clone the scalardb-samples repository​

scalardb-samples/scalardb-analytics-postgresql-sample repository is a project containing a sample configuration to set up ScalarDB Analytics with PostgreSQL.

Determine the location on your local machine where you want to run the scalardb-analytics-postgresql-sample app. Then, open Terminal, go to the location by using the cd command, and run the following commands:

git clone https://github.com/scalar-labs/scalardb-samples.git
cd scalardb-samples/scalardb-analytics-postgresql-sample

Step 2. Start up the ScalarDB Analytics with PostgreSQL services​

The following command starts up the PostgreSQL instance that serves ScalarDB Analytics with PostgreSQL along with the back-end servers of Cassandra, PostgreSQL, and DynamoDB local in the Docker containers. When you first run the command, the required Docker images will be downloaded from the GitHub Container Registry.

docker-compose up

If you want to run the containers in the background, add the -d (--detach) option:

docker-compose up -d

If you already have your own ScalarDB database and want to use it as a back-end service, you can launch only the PostgreSQL instance without starting additional back-end servers in the container.

docker-compose up analytics

Step 3. Run your analytical queries​

Now, you should have all the required services running. To run analytical queries, see Getting Started with ScalarDB Analytics with PostgreSQL.

Step 4. Shut down the ScalarDB Analytics with PostgreSQL services​

To shut down the containers, do one of the following in Terminal, depending on how you:

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