000-cbdb-sandbox

title
Sandbox of Cloudberry Database

Install Cloudberry Database With Docker

This document guides you on how to quickly set up and connect to a Cloudberry Database in a Docker environment. You can try out Cloudberry Database by performing some basic operations and running SQL commands.

Warning

This guide is intended for testing or development. DO NOT use it for production.

Prerequisites

Make sure that your environment meets the following requirements:

• Platform requirement: Any platform with Docker runtime. For details, refer to Get Started with Docker.
• Other dependencies: Git, SSH, and internet connection

Build the Sandbox

When building and deploying Cloudberry in Docker, you will have 2 different deployment options as well as different build options.

Deployment Options

1. Single Container (Default) - With the single container option, you will have the coordinator as well as the Cloudberry segments all running on a single container. This is the default behavior when deploying using the run.sh script provided.
2. Multi-Container - Deploying with the multi-container option will give you a more realistic deployment of what actual production Cloudberry clusters look like. With multi-node, you will have the coordinator, the standby coordinator, and 2 segment hosts all on their own respective containers. This is to both highlight the distributed nature of Cloudberry Database as well as highlight how high availability (HA) features work in the event of a server (or in this case a container) failing. This is enabled by passing the -m flag to the run.sh script which will be highlighted below.

Build Options

1. Compile with the source code of the latest Cloudberry Database (released in Cloudberry Database Release Page). The base OS will be Rocky Linux 9 Docker image.
2. Method 2 - Compile with the latest Cloudberry Database main branch. The base OS will be Rocky Linux 9 Docker image.

Build and deploy steps:

1. Start Docker Desktop and make sure it is running properly on your host platform.

2. Download this repository (which is cloudberrydb/bootcamp) to the target machine.

   git clone https://github.com/cloudberrydb/bootcamp.git

3. Enter the repository and run the run.sh script to start the Docker container. This will start the automatic installation process. Depending on your environment, you may need to run this with 'sudo' command.

   • For latest Cloudberry DB release running on a single container

   cd bootcamp/000-cbdb-sandbox
   ./run.sh

   • For latest Cloudberry DB release running across multiple containers

   cd bootcamp/000-cbdb-sandbox
   ./run.sh -m

   • For latest main branch running on a single container

   cd bootcamp/000-cbdb-sandbox
   ./run.sh -c main

   • For latest main branch running across multiple containers

   cd bootcamp/000-cbdb-sandbox
   ./run.sh -c main -m

   Once the script finishes without error, the sandbox is built and running successfully. The docker run and docker compose commands use the --detach option allowing you to ssh or access the running CBDB instance remotely.

   Please review run.sh script for additional options (e.g. setting Timezone in running container, only building container). You can also execute ./run.sh -h to see the usage.

Connect to the database

Note

When deploying the multi-container Cloudberry environment it may take extra time for the database to initialize, so you may need to wait a few minutes before you can execute the psql prompt successfully. You can run docker logs cbdb-mdw -f to see the current state of the database initialization process, you'll know the process is finished when you see the "Deployment Successful" output.

You can now connect to the database and try some basic operations.

1. Connect to the Docker container from the host machine:

   docker exec -it cbdb-mdw /bin/bash

   If it is successful, you will see the following prompt:

   [gpadmin@mdw /]$

2. Log into Cloudberry Database in Docker. See the following commands and example outputs:

   [gpadmin@mdw ~]$ psql  # Connects to the database with the default database name "gpadmin".
   
   # psql (14.4, server 14.4)
   # Type "help" for help.

   gpadmin=# SELECT VERSION();  -- Checks the database version.
           
   PostgreSQL 14.4 (Cloudberry Database 1.0.0 build dev) on aarch64-unknown-linux-gnu, compiled by gcc (GCC) 10.2.1 20210130 (Red Hat 10.2.1-11), 64-bit compiled on Oct 24 2023 10:24:28
   (1 row)

In addition to using the docker exec command, you can also use the ssh command. This command will connect to the database with the default database name gpadmin:

ssh gpadmin@localhost # Password: cbdb@123

Now you have a Cloudberry Database and can continue with Cloudberry Database Tutorials Based on Docker Installation! Enjoy!

Working with your Cloudberry Docker environment

When working with the Cloudberry Docker environment there are a few commands that will be useful to you.

Stopping Your Single Container Deployment With Docker

To stop the single container deployment while keeping the data and state within the container, you can run the command below. This means that you can later start the container again and any changes you made to the containers will be persisted between runs.

docker stop cbdb-mdw

To stop the single container deployment and also remove the volume that belongs to the container, you can run the following command. Keep in mind this will remove the volume as well as the container associated which means any changes you've made inside of the container or any database state will be wiped and unrecoverable.

docker rm -f cbdb-mdw

Stopping Your Multi-Container Deployment With Docker

To stop the multi-container deployment while keeping the data and state within the container, you can run the command below. This means that you can later start the container again and any changes you made to the containers will be persisted between runs.

docker compose -f docker-compose-rockylinux9.yml stop

To stop the multi-container deployment and also remove the network and volumes that belong to the containers, you can run the command below. Running this command means it will delete the containers as well as remove the volumes that the containers are associated with. This means any changes you've made inside of the containers or any database state will be wiped and unrecoverable.

docker compose -f docker-compose-rockylinux9.yml down -v

Starting A Stopped Single Container Cloudberry Docker Deployment

If you've run any of the commands above that keep the Docker volumes persisted between shutting the containers down, you can use the following commands to bring that same deployment back up with it's previous state.

To start a single container deployment after it was shut down, you can simply run the following

docker start cbdb-mdw

Starting A Stopped Multi-Container Cloudberry Docker Deployment

To start a multi-container deployment after it was shut down, you can run the following command.

docker compose -f docker-compose-rockylinux9.yml start

Note

When starting a previously stopped Cloudberry Docker environment, you'll need to manually start the database back up. To do this, just run the following commands once the container(s) are back up and running. The gpstart command is used for starting the database, and -a is a flag saying to start the database without prompting (non-interactive).

docker exec -it cbdb-mdw /bin/bash

[gpadmin@mdw /] gpstart -a