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 (CDE) Spark Jobs.
- 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