Regulus JupyterLab Magic Command Reference
Author: Thripti Aravind
Last updated: May 16th, 2023
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Overview
Regulus JupyterLab supports the following magic commands in addition to the existing Teradata SQL Kernel magic commands. See Teradata JupyterLab Getting Started Guide.
%workspaces_config
Description: One-time configuration to bind with the Workspaces service.
Usage:
%workspaces_config host=<RPC_Service_URL>, apikey=<Workspace_API_Key>, withtls=F
Where:
-
host: Name or IP address of the query engine service.
-
apikey: API Key value from the Workspaces Profile page.
-
[Optional] withTLS: If False (F), the default client-server communication does not use TLS.
Output:
Workspace configured for host=<RPC_Service_URL>
%project_create
Description: Create a new project. This command also creates a new repository with the project name in your GitHub account. The configurations are stored in the engine.yml file.
Usage:
%project_create project=<Project_Name>, env=<CSP>, team=<Project_Team>
Where:
-
project: Name of the project to be created.
-
env: Cloud environment where the project is hosted. The value can be aws, azure, gcp, or vsphere. For the current release, only AWS is supported.
-
[Optional] team: Name of the team collaborating on the project.
Output:
Project <Project_Name> created
%project_delete
Description: Delete a project.
Running this command removes the GitHub repository containing the objects created using Regulus. |
Usage:
%project_delete project=<Project_Name>, team=<Project_Team>
Where:
-
project: Name of the project to be deleted.
-
[Optional] team: Name of the team collaborating on the project.
Output:
Project <Project_Name> deleted
%project_list
Description: List the details of the projects.
Use the project parameter to get the details of a specific project. All the projects are listed if you run the command without any parameters.
Usage:
%project_list project=<Project_Name>
Where:
-
project: Name of the project to be listed.
Output:
%project_auth_create
Description: Create an authorization object to store object store credentials.
You must create the authorization object before deploying the query engine. The authorization details are retained and are included while redeploying the project. Optionally, you can create authorizations manually using the CREATE AUTHORIZATION
SQL command after deploying the query engine. In this case, the authorization details are not retained.
Usage:
%project_auth_create project=<Project_Name>, name=<Auth_Name>, key=<Auth_Key>, secret=<Auth_Secret>, region=<ObjectStore_Region>
Where:
-
project: Name of the project.
-
name: Authorization name for the object store.
-
key: Authorization key of the object store.
-
secret: Authorization secret access ID of the object store.
-
region: Region of the object store; local for the local object store.
Output:
Authorization 'name' created
%project_auth_delete
Description: Remove an object store authorization.
Usage:
%project_auth_delete project=<Project_Name>, name=<Auth_Name>
Where:
-
project: Name of the project.
-
name: Authorization name for the object store.
Output:
Authorization 'name' deleted
%project_auth_list
Description: List object store authorizations that are created for a project.
Usage:
%project_auth_list project=<Project_Name>
Where:
-
project: Name of the project.
Output:
%project_engine_deploy
Description: Deploy a query engine for the project. The deployment process will take a few minutes to complete. On successful deployment, a password is generated.
Usage:
%project_engine_deploy project=<Project_Name>, size=<Size_of_Engine>, node=<Number_of_Nodes>, subnet=<Subnet_id>, region=<Region>, secgroups=<Security_Group>, cidrs=<CIDR>
Where:
-
project: Name of the project.
-
size: Size of the query engine. The value can be:
-
small
-
medium
-
large
-
extralarge
-
-
[Optional] node: Number of query engine nodes to be deployed. The default value is 1.
-
[Optional] subnet: Subnet used for the query engine if there are no default values from the service.
-
[Optional] region: Region used for the query engine if there are no default values from service.
-
[Optional] secgroups: List of security groups for the VPC in each region. If you don’t specify a security group, the query engine is automatically associated with the default security group for the VPC.
-
[Optional] cidr: List of CIDR addresses used for the query engine.
Output:
Started deploying. Success: Compute Engine setup, look at the connection manager
%project_engine_suspend
Description: Stop the query engine after you’re done with your work.
Usage:
%project_engine_suspend <Project_Name>
Where:
-
project: Name of the project.
Output:
Started suspend. Success: connection removed Success: Suspending Compute Engine
%project_engine_list
Description: View the list of query engines deployed for your project.
Usage:
%project_engine_list project=<Project_Name>
Where:
-
project: Name of the project.
Output:
%project_user_list
Description: View the list of collaborators assigned to the project.
Usage:
%project_user_list project=<Project_Name>
Where:
-
[Optional] project: Name of the project.
Output:
%project_backup
Description: Back up your project metadata and object definition inside the query engine.
Usage:
%project_backup project=<Project_Name>
Where:
-
project: Name of the project.
Output:
Backup of the object definitions created
%project_restore
Description: Restore your project metadata and object definition from your GitHub repository.
Usage:
%project_restore project=<Project_Name>, gitref=<Git_Reference>
Where:
-
project: Name of the project.
-
[Optional] gitref: Git reference.
Output:
Restore of the object definitions done
%help
Description: View the list of magics provided with Regulus-Teradata SQL CE Kernel.
Usage:
%help
Additionally, you can see detailed help messages per command.
Usage:
%help <command>
If you have any questions or need further assistance, please visit our community forum where you can get support and interact with other community members. |