<@U06TM7M40RK> how to override the values in .datahubenv file when it is set to read only ?
I’m not able to find any data sources to answer your question. Could you provide more details about your deployment environment or specific configurations you’re trying to override? If this doesn’t help, please reach out to the DataHub support team for further assistance. 0 button 0 button Hint: Mention @runllm in the thread for followups.
<@U06TM7M40RK> the existing .datahubenv file has outdated access token. I need to update this token with current one but the file is set to read only mode. My datahub is deployed on kubernetes cluster using helm charts. How do I include deployment of .datahubenv as part of datahub component or prerequisite deployment ?
To update the .datahubenv
file with a new access token in a Kubernetes deployment using Helm charts, you can follow these steps:
- Create a Kubernetes Secret: Store the updated
.datahubenv
file in a Kubernetes Secret. - Mount the Secret as a Volume: Configure your Helm chart to mount this Secret as a volume in the DataHub components that require it.
Step-by-Step Process
1. Create a Kubernetes Secret
First, create a Kubernetes Secret from your updated .datahubenv
file. You can do this using the kubectl
command:
kubectl create secret generic datahub-env-secret --from-file=.datahubenv=./path-to-your-updated-datahubenv
2. Update Helm Chart to Mount the Secret
Next, update your Helm chart to mount this Secret as a volume in the DataHub components. You will need to modify the values.yaml
file and the deployment templates.
Example values.yaml
Configuration:
datahub-frontend:
extraVolumes:
- name: datahub-env
secret:
secretName: datahub-env-secret
extraVolumeMounts:
- name: datahub-env
mountPath: /path/to/.datahubenv
subPath: .datahubenv
datahub-gms:
extraVolumes:
- name: datahub-env
secret:
secretName: datahub-env-secret
extraVolumeMounts:
- name: datahub-env
mountPath: /path/to/.datahubenv
subPath: .datahubenv
Example Deployment Template Update:
Ensure that the deployment templates for datahub-frontend
and datahub-gms
include the volume and volume mount configurations. Here is an example snippet for the datahub-frontend
deployment:
apiVersion: apps/v1
kind: Deployment
metadata:
name: datahub-frontend
spec:
template:
spec:
containers:
- name: datahub-frontend
volumeMounts:
- name: datahub-env
mountPath: /path/to/.datahubenv
subPath: .datahubenv
volumes:
- name: datahub-env
secret:
secretName: datahub-env-secret
Repeat similar configurations for the datahub-gms
deployment.
3. Deploy the Helm Chart
Finally, deploy the Helm chart with the updated configurations:
helm upgrade --install datahub datahub/datahub -f values.yaml
This setup will ensure that the .datahubenv
file with the updated access token is mounted as a volume in the DataHub components, making the process seamless and automated.
Would you like more detailed steps or have any specific questions about this process?
Sources:
- <Slack Slack Discussion> 0 button 0 button Hint: Mention @runllm in the thread for followups.
Hi ! Did this interaction resolve your issue or do you still require assistance ?
Please tag @ RunLLM if you still need further assistance !
Or tag @Datahub Community Support if you require a person to take a look
Hope this helps ! ><