Updating a workload secret for Cloudera Data Engineering Spark Jobs using CLI

You can update an existing secret to use it with the Cloudera Data Engineering Spark Jobs.

Interactive mode
JSON file

Specify --workload-cred-key when prompted for secret values multiple times. The values which are sensitive are read as a hidden password field interactively from the CLI.

./cde credential update --name <workload-credential-name> --workload-cred-key <workload-credential_key> --workload-cred-key <workload-credential_key>

For example:

./cde credential update --name workload-cred-1 --workload-cred-key db-pass --workload-cred-key aws-secret --workload-cred-key api-token         
Enter Secret value for Workload Cred key "dbPassword" :
Re-enter Secret value for Workload Cred key "dbPassword" :
Enter Secret value for Workload Cred key "aws-secret" :
Re-enter Secret value for Workload Cred key "aws-secret" :

Update the JSON file with workload secret keys.

For example:

sample.json file – file name

{
    "aws-secret": "secret123",
    "db-pass": "dbpass123"
  }

Run the following command to create the workload secret with updated parameters:

./cde credential update --name <workload-credential-name> --type workload-credential --workload-cred-json-file <workload-credential-json-file-name>

For example:

./cde credential update --name workload-cred-2 --workload-cred-json-file sample.json