Data Science Servers

This section explains server settings for various data science workspaces for the Data Science Workbench plugin of the platform.

• Click the Data Science Servers option from the list of Configurations admin options.

• Various Data Science Servers get listed.

Steps to Create a New R-Server

• Navigate to the Data Science Servers admin option.

• Click the R Server option.

• The R Server page opens.

• Click the Add new server icon.

• The Create R Server scrollable window opens asking basic Information for a new R Server.

• Provide the following information to configure a new R server:

  • IP Address: IP address of the R-server

  • Port: R-Server’s port number

  • Username: Enter a username to log in to the R- server

  • Password: Enter the password for the above username

  • R Server Name: Provide the R- Server address

  • Provide HTTP URL for R-Bokeh: Provide R Visualization URL

  • Elastic Search Port: Provide an elastic search port number

  • R Visualization URL: Provide HTTP URL for R-Bokeh

  • Enable Parallel Processing: Avail this option by using the enable/disable button

  • Set as Default: Select this option by using a checkmark in the box

• Click the Test option to verify the R-Server connection.

• A message appears to assure the connection.

• The Save option gets enabled

• Click the Save option to save the verified R-server configuration details.

• A message appears to ensure the successful updates in Data Science Settings.

• The newly created R-Server gets added to the R-Server list displayed under the R-Server window.

Note:

• The user can click the Edit icon from the R Servers window to modify the R Server settings.
• The user can click the Save from the R Servers window to save the edited R Server settings.

• The Administrator can configure multiple R-Servers, but the process execution happens on a single server at a time. Click the Delete icon to remove the selected server configuration details from the list.

Spark Server Settings

Users can configure a new Spark Server or edit the existing server via the Spark Server Settings.

• Navigate to the Data Science Servers admin option.

• Click the Spark Server option.

• The Spark Server page opens.

• Click the Add New Server icon.

• The Create Spark Server configuration window opens.

• Provide the following information:

  • Host: Host address of the Spark server

  • Port: Spark server’s port number

  • Username: Enter a username to log in to the Spark server

  • Password: Enter the password for the above username

  • Spark Server Name: Provide Spark Server Address

  • Jetty Confirmation URL: Provide Jetty confirmation URL link

  • Application: Provide the application name

  • Spark Server Protocol: Select a protocol option by using the radio option

• Click the Test option to verify the connection.

• A message appears to assure the connection.

• The Save option gets enabled.

• Click the Save option to save the verified Spark server configuration details.

• A confirmation message appears to ensure successful updates in the data science server settings.

• The newly configured Spark server gets added to the Spark Server page.

Python Server

Users can configure the Python Application settings for the Data Science Workbench via the Python Server configuration fields.

• Navigate to the Data Science Servers admin option.

• Click the ‘Python Server’ option.

• The Python Server page opens.

• Click the Add new server icon to add a new Python server configuration.

• The Create Python Server configuration window opens.

• Provide the following information:

  • Host: Host address of the Spark server

  • Port: Spark server’s port number

  • Username: Enter a username to log in to the Spark server

  • Password: Enter the password for the above username

  • Python Server Name: Provide Python Server Address

  • Elastic Search Port: Provide the elastic search port number

  • Web Socket URL: Provide the web socket URL link

  • Visualization URL: Provide the Visualization URL link

  • Python Server Protocol: Select a protocol option by using the radio option.

• Click the Test option to verify the connection.

• A message appears to assure the connection.

• The Save option gets enabled.

• Click the Save option to save the verified Python server information.

• A success message appears to ensure that the data science settings got updated.

• The newly configured Python Server gets added to the Python Servers window.

Note:

• Click the Edit icon to modify an existing Python server configuration.
• Click the Delete icon to remove the selected Python server details from the list.

Process Queue

Users can reset the Predictive process queue through this Predictive Settings option.

• Click the Process Queue option from the Data Science servers.

• The Process Queue page opens.

• Click the Reset Queue option.

• A warning message appears, asking whether the user wants to flush the queue.

• Click the YES option to set the count of currently running processes to Zero for the Data Science Workbench.