Deploy Studio

This topic describes how to deploy Studio locally by RPM, DEB, tar package and Docker.

RPM-based Studio

Prerequisites

Before you deploy RPM-based Studio, you must confirm that:

• The NebulaGraph services are deployed and started. For more information, see NebulaGraph Database Manual.

• The Linux distribution is CentOS, install lsof.

• Before the installation starts, the following ports are not occupied.

  Port	Description
  7001	Web service provided by Studio.

Install

1. Select and download the RPM package according to your needs. It is recommended to select the latest version. Common links are as follows:

   Installation package	Checksum	NebulaGraph version
   nebula-graph-studio-3.10.0.x86_64.rpm	nebula-graph-studio-3.10.0.x86_64.rpm.sha256	3.10.0

2. Use sudo rpm -i <rpm_name> to install RPM package.

   For example, install Studio 3.10.0, use the following command. The default installation path is /usr/local/nebula-graph-studio.

   $ sudo rpm -i nebula-graph-studio-3.10.0.x86_64.rpm

   You can also install it to the specified path using the following command:

   $ sudo rpm -i nebula-graph-studio-3.10.0.x86_64.rpm --prefix=<path> 

   When the screen returns the following message, it means that the PRM-based Studio has been successfully started.

   Start installing NebulaGraph Studio now...
   NebulaGraph Studio has been installed.
   NebulaGraph Studio started automatically.

3. When Studio is started, use http://<ip address>:7001 to get access to Studio.

   If you can see the Config Server page on the browser, Studio is started successfully.

   

Uninstall

You can uninstall Studio using the following command:

$ sudo rpm -e nebula-graph-studio-3.10.0.x86_64

If these lines are returned, PRM-based Studio has been uninstalled.

NebulaGraph Studio removed, bye~

Exception handling

If the automatic start fails during the installation process or you want to manually start or stop the service, use the following command:

• Start the service manually

$ bash /usr/local/nebula-graph-studio/scripts/rpm/start.sh

• Stop the service manually

$ bash /usr/local/nebula-graph-studio/scripts/rpm/stop.sh

If you encounter an error bind EADDRINUSE 0.0.0.0:7001 when starting the service, you can use the following command to check port 7001 usage.

$ lsof -i:7001

If the port is occupied and the process on that port cannot be terminated, you can modify the startup port within the studio configuration and restart the service.

//Modify the studio service configuration. The default path to the configuration file is `/usr/local/nebula-graph-studio`.
$ vi etc/studio-api.yam

//Modify this port number and change it to any 
Port: 7001

//Restart service
$ systemctl restart nebula-graph-studio.service

DEB-based Studio

Prerequisites

Before you deploy DEB-based Studio, you must do a check of these:

• The NebulaGraph services are deployed and started. For more information, see NebulaGraph Database Manual.

• The Linux distribution is Ubuntu.

• Before the installation starts, the following ports are not occupied.

  Port	Description
  7001	Web service provided by Studio

• The path /usr/lib/systemd/system exists in the system. If not, create it manually.

Install

1. Select and download the DEB package according to your needs. It is recommended to select the latest version. Common links are as follows:

   Installation package	Checksum	NebulaGraph version
   nebula-graph-studio-3.10.0.x86_64.deb	nebula-graph-studio-3.10.0.x86_64.deb.sha256	3.12.0

2. Use sudo dpkg -i <deb_name> to install DEB package.

For example, install Studio 3.10.0, use the following command:

$ sudo dpkg -i nebula-graph-studio-3.10.0.x86_64.deb

3. When Studio is started, use http://<ip address>:7001 to get access to Studio.

   If you can see the Config Server page on the browser, Studio is started successfully.

   

Uninstall

You can uninstall Studio using the following command:

$ sudo dpkg -r nebula-graph-studio

tar-based Studio

Prerequisites

Before you deploy tar-based Studio, you must do a check of these:

• The NebulaGraph services are deployed and started. For more information, see NebulaGraph Database Manual.

• Before the installation starts, the following ports are not occupied.

  Port	Description
  7001	Web service provided by Studio

Install and deploy

1. Select and download the tar package according to your needs. It is recommended to select the latest version. Common links are as follows:

   Installation package	Studio version
   nebula-graph-studio-3.10.0.x86_64.tar.gz	3.10.0

2. Use tar -xvf to decompress the tar package.

   $ tar -xvf nebula-graph-studio-3.10.0.x86_64.tar.gz

3. Deploy and start nebula-graph-studio.

   $ cd nebula-graph-studio
   $ ./server

4. When Studio is started, use http://<ip address>:7001 to get access to Studio.

   If you can see the Config Server page on the browser, Studio is started successfully.

   

Stop Service

You can use kill pid to stop the service:

$ kill $(lsof -t -i :7001) #stop nebula-graph-studio

Docker-based Studio

Prerequisites

Before you deploy Docker-based Studio, you must do a check of these:

• The NebulaGraph services are deployed and started. For more information, see NebulaGraph Database Manual.

• On the machine where Studio will run, Docker Compose is installed and started. For more information, see Docker Compose Documentation.

• Before the installation starts, the following ports are not occupied.

  Port	Description
  7001	Web service provided by Studio

Procedure

To deploy and start Docker-based Studio, run the following commands. Here we use NebulaGraph v3.10.0 for demonstration:

1. Download the configuration files for the deployment.

   Installation package	NebulaGraph version
   nebula-graph-studio-3.10.0.tar.gz	3.10.0

2. Create the nebula-graph-studio-3.10.0 directory and decompress the installation package to the directory.

   $ mkdir nebula-graph-studio-3.10.0 -zxvf nebula-graph-studio-3.10.0.gz -C nebula-graph-studio-3.10.0

3. Change to the nebula-graph-studio-3.10.0 directory.

   $ cd nebula-graph-studio-3.10.0

4. Pull the Docker image of Studio.

   $ docker-compose pull

5. Build and start Docker-based Studio. In this command, -d is to run the containers in the background.

   $ docker-compose up -d

   If these lines are returned, Docker-based Studio v3.x is deployed and started.

   Creating docker_web_1      ... done

6. When Docker-based Studio is started, use http://<ip address>:7001 to get access to Studio.

note

Run ifconfig or ipconfig to get the IP address of the machine where Docker-based Studio is running. On the machine running Docker-based Studio, you can use http://localhost:7001 to get access to Studio.

If you can see the Config Server page on the browser, Docker-based Studio is started successfully.

Helm-based Studio

This section describes how to deploy Studio with Helm.

Prerequisites

Before installing Studio, you need to install the following software and ensure the correct version of the software:

Software	Requirement
Kubernetes	>= 1.14
Helm	>= 3.2.0

Install

1. Use Git to clone the source code of Studio to the host.

   $ git clone https://github.com/vesoft-inc/nebula-studio.git

2. Make the nebula-studio directory the current working directory.

    $ cd nebula-studio

3. Assume using release name:my-studio, installed Studio in Helm Chart.

   $ helm upgrade --install my-studio --set service.type=NodePort --set service.port=30070 deployment/helm

The configuration parameters of the Helm Chart are described below.

Parameter	Default value	Description
replicaCount	0	The number of replicas for Deployment.
image.nebulaStudio.name	vesoft/nebula-graph-studio	The image name of nebula-graph-studio.
image.nebulaStudio.version	v3.10.0	The image version of nebula-graph-studio.
service.type	ClusterIP	The service type, which should be one of NodePort, ClusterIP, and LoadBalancer.
service.port	7001	The expose port for nebula-graph-studio's web.
service.nodePort	32701	The proxy port for accessing nebula-studio outside kubernetes cluster.
resources.nebulaStudio		The resource limits/requests for nebula-studio.
persistent.storageClassName	""	The name of storageClass. The default value will be used if not specified.
persistent.size	5Gi	The persistent volume size.

4. When Studio is started, use http://<node_address>:30070/ to get access to Studio.

   If you can see the Config Server page on the browser, Studio is started successfully.

   

Uninstall

 $ helm uninstall my-studio

Next to do

On the Config Server page, connect Docker-based Studio to NebulaGraph. For more information, see Connect to NebulaGraph.