Configure adectl
  • 01 Feb 2023
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Configure adectl

  • PDF

Configure installation

  1. Run the following command. The adectl_local.json is the name of the file that was created in the previous step.
    adectl config -f adectl_local.json
  2. The above command prompts for the following configuration options.
    1. Local data root directory: Data present in a cloud store(like an S3 bucket) or on the local machine can be featurized and registered with Data Explorer. In case the data is present on the local machine, then the top-level directory where this data is present must be provided.
    2. Enter the application endpoint (optional): By default, the UI is accessible at http://localhost:58086. The application endpoint can be overridden to a custom DNS name and port like https://myhost.mycompany.com:50000. The SSL termination and DNS resolution of myhost.mycompany.com should be created out-of-band. For example, in the AWS environment, the AWS Application load balancer(ALB) can be used for SSL termination, and AWS Route53 can be used to set up DNS resolution.
    3. Do you want to set up authentication for data-explorer UI? [y/n]: If you want to set up username and password based authentication, then specify 'y' for this option.
           If you choose to set authentication, the default username/password would be 'admin'/'admin'
    4. Do you want to increase the system resources limit? [y/n]: Specify 'y' if you will override the default resource limits assigned. Increasing resource assignment helps to speed up data featurization.
  3. A sample set of options is shown below.
    Text
    Local data root directory(mandatory if ingesting data that is on this machine) : /data
    Enter the application endpoint (optional). Use this if you intend to configure custom-domain name based access to the application [http://localhost:58086]: 
    Do you want to setup authentication for data-explorer UI? [y/n] : n
    Do you want to increase system resources limit? [y/n] : y
    Enter memory in Gi,G,Mi,M,% Examples: 10Gi, 50% [7.50Gi]: 7.66Gi
    Enter cpu as #cores or % Examples: 4, 50% [2.00]: 4

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