1. What is nebula
NebulaGraph is an open source, distributed, and easily scalable native graph database that can host extremely large data sets containing hundreds of billions of points and trillions of edges, and provides millisecond-level queries.
2. Use docker-compose to install the Nebula database
1. Prerequisites
- Docker is installed on the host
- Docker Compose is installed on the host computer.
Download the executable file of Docker Compose. The latest version can be downloaded with the following command:
curl -L "https://ghproxy.com/https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose
Give executable permission
chmod +x /usr/local/bin/docker-compose
#查看版本号
docker-compose version
2. Use Git to copy the nebula-docker-compose library to the local
$ git clone -b release-3.6 https://github.com/vesoft-inc/nebula-docker-compose.git
After downloading, copy the nebula-docker-compose folder to the /data directory of the host.
In fact, this yaml is executed during installation.
3. Enter the nebula-docker-compose directory on the host where nebula is installed.
cd /data/nebula-docker-compose
4. Execute the following command to start the NebulaGraph service.
docker-compose up -d
5. View service status
docker-compose ps
There is no problem if they are all in the running state
6. Connect NebulaGraph
Log in to the container where NebulaGraph Console is installed, and then connect to the Graph service. This method is introduced here to verify whether you can log in
- Use the docker-compose ps command to view the NebulaGraph Console container name.
$ docker-compose ps
Name Command State Ports
----------------------------------------------------------------------------------------------
nebula-dockercompose-console-1 sh -c sleep 3 && Up
nebula-co ...
......
- Enter the NebulaGraph Console container.
$ docker exec -it nebula-dockercompose-console-1 /bin/sh
/ #
- Connect to NebulaGraph through NebulaGraph Console.
/ # ./usr/local/bin/nebula-console -u root -p nebula --address=graphd --port=9669
By default, the authentication function is turned off, and you can only log in using an existing username (default is root) and any password.
- Check the status of the cluster.
nebula> SHOW HOSTS;
+-------------+------+----------+--------------+----------------------+------------------------+---------+
| Host | Port | Status | Leader count | Leader distribution | Partition distribution | Version |
+-------------+------+----------+--------------+----------------------+------------------------+---------+
| "storaged0" | 9779 | "ONLINE" | 0 | "No valid partition" | "No valid partition" | "3.6.0" |
| "storaged1" | 9779 | "ONLINE" | 0 | "No valid partition" | "No valid partition" | "3.6.0" |
| "storaged2" | 9779 | "ONLINE" | 0 | "No valid partition" | "No valid partition" | "3.6.0" |
+-------------+------+----------+--------------+----------------------+------------------------+---------+
Execute exit twice to exit the container.
2. Use docker-compose to install and manage the client Nebula Graph Studio
1. Download nebula-graph-studio-3.7.0.tar.gz
https://oss-cdn.nebula-graph.com.cn/nebula-graph-studio/3.7.0/nebula-graph-studio-3.7.0.tar.gz
2. Upload to the host and decompress
mkdir nebula-graph-studio-3.7.0 && tar -zxvf nebula-graph-studio-3.7.0.tar.gz -C nebula-graph-studio-3.7.0
3. After decompression, enter the nebula-graph-studio-3.7.0 directory.
cd nebula-graph-studio-3.7.0
4. Pull the Docker image of Studio.
docker-compose pull
5. Build and start the Studio service. Among them, -d means running the service container in the background.
docker-compose up -d
6. Check the running status of the container
docker-compose ps
If it is running state, it means normal
7. Connection test
Enter http://:7001 in the browser address bar.
If you can see the following login interface in the browser window, it means that the Studio has been successfully deployed and started, and you can log in
by entering the ip:9669
username and password.
