Troubleshooting Kafka Broker Connection Issues with AWS MSK Configuration

[user-3]

The location of the truststore.jks file in a DataHub Helm installation depends on how you have configured your Kubernetes environment. Here are the general steps to create and use a truststore.jks file within a Kubernetes setup:

1. Generate the Truststore: You can create a truststore.jks file using the Java keytool command. Here’s an example command to create a truststore and import a certificate:

   keytool -import -alias mycert -file mycert.crt -keystore truststore.jks -storepass changeit
   

2. Store the Truststore in Kubernetes: Create a Kubernetes secret to store the truststore.jks file:

   kubectl create secret generic datahub-truststore --from-file=truststore.jks
   

3. Mount the Truststore in DataHub Pods: Modify your values.yaml file to mount the truststore and configure the environment variables to use it. Here’s an example configuration:

   datahub:
     gms:
       extraEnvs:
         - name: ELASTICSEARCH_SSL_TRUSTSTORE_FILE
           value: "/certs/truststore.jks"
         - name: ELASTICSEARCH_SSL_TRUSTSTORE_TYPE
           value: "JKS"
         - name: ELASTICSEARCH_SSL_TRUSTSTORE_PASSWORD
           valueFrom:
             secretKeyRef:
               name: datahub-truststore
               key: truststore.jks
       volumes:
         - name: certs
           secret:
             secretName: datahub-truststore
       volumeMounts:
         - name: certs
           mountPath: /certs
     frontend:
       extraEnvs:
         - name: SSL_TRUSTSTORE_FILE
           value: "/certs/truststore.jks"
         - name: SSL_TRUSTSTORE_TYPE
           value: "JKS"
         - name: SSL_TRUSTSTORE_PASSWORD
           valueFrom:
             secretKeyRef:
               name: datahub-truststore
               key: truststore.jks
       volumes:
         - name: certs
           secret:
             secretName: datahub-truststore
       volumeMounts:
         - name: certs
           mountPath: /certs
   

4. Apply the Helm Chart: Use the following command to apply the Helm chart with the updated values:

   helm upgrade --install datahub datahub/datahub --values values.yaml
   

This setup ensures that the truststore.jks file is available to the DataHub components and is used for SSL connections.

If you need more detailed guidance on any specific part of this process, please let me know.

Sources:

• https://forum.datahubproject.io/t/troubleshooting-ssl-configuration-and-kafka-topic-error-in-systemupdate-job/810|https://forum.datahubproject.io/t/troubleshooting-ssl-configuration-and-kafka-topic-error-in-systemupdate-job/810
• https://datahubspace.slack.com/archives/CV2KB471C/p1719500327.652289|https://datahubspace.slack.com/archives/CV2KB471C/p1719500327.652289 0 button 0 button Hint: Mention @runllm in the thread for followups.

[user-2]

<@U06TM7M40RK> the problem with the handshake is only from datahub-acryl-datahub-actions. There’s no issue from DahubSetupJob, the handshake succeed and the topics get created

[user-3]

If the SSL handshake issue is specific to the datahub-acryl-datahub-actions component, while the DatahubSetupJob works fine, it suggests that there might be a configuration discrepancy or an environment-specific issue affecting only the datahub-acryl-datahub-actions. Here are some steps to troubleshoot and resolve this issue:

1. Verify Configuration Consistency: Ensure that the SSL and SASL configurations for datahub-acryl-datahub-actions are consistent with those used in DatahubSetupJob. Double-check the environment variables and configuration files for any discrepancies.

2. Check Environment Variables: Make sure that the necessary environment variables for SSL and SASL are correctly set for the datahub-acryl-datahub-actions component. This includes variables like KAFKA_PROPERTIES_SECURITY_PROTOCOL, KAFKA_PROPERTIES_SASL_MECHANISM, and any SSL-related settings.

3. Truststore Access: Verify that the datahub-acryl-datahub-actions component has access to the truststore file. Ensure that the truststore is correctly mounted and the path is specified in the configuration.

4. Logs for Detailed Errors: Examine the logs of the datahub-acryl-datahub-actions component for any detailed error messages related to the SSL handshake. These logs can provide insights into what might be going wrong.

5. Network and Permissions: Ensure that there are no network issues or permission problems specific to the datahub-acryl-datahub-actions component that might be affecting the SSL handshake.

6. Version Compatibility: Check if there are any version compatibility issues between the Kafka client used by datahub-acryl-datahub-actions and the Kafka broker.

If you need more detailed guidance on any specific part of this process, please let me know.

Sources:

• <Issues · datahub-project/datahub · GitHub Issue on DataHub Actions> 0 button 0 button Hint: Mention @runllm in the thread for followups.

[user-2]

<@U06TM7M40RK> With this configuration:

     security.protocol: SASL_SSL
     sasl.mechanism: AWS_MSK_IAM
     oauth_cb: "oauth_cb.oauth_cb"```
How do I add the file oauth_cb.py using kubernetes to the datahub actions? (edited)

[user-3]

To add the oauth_cb.py file to the DataHub Actions component in a Kubernetes environment, you can use a ConfigMap to store the Python script and then mount it into the appropriate container. Here’s a step-by-step guide on how to achieve this:

1. Create a ConfigMap for the Python Script: First, create a ConfigMap that contains your oauth_cb.py file. You can do this using the kubectl command:

   kubectl create configmap oauth-callback-script --from-file=oauth_cb.py
   

2. Modify the Deployment to Mount the ConfigMap: Update the Kubernetes deployment for the DataHub Actions component to mount the ConfigMap. You will need to edit the deployment YAML to include the volume and volume mount.

   Here is an example of how you might modify the deployment:

   apiVersion: apps/v1
   kind: Deployment
   metadata:
     name: datahub-actions
   spec:
     template:
       spec:
         containers:
         - name: datahub-actions
           image: <datahub-actions-image>
           volumeMounts:
           - name: oauth-callback-volume
             mountPath: /app/oauth_cb.py
             subPath: oauth_cb.py
         volumes:
         - name: oauth-callback-volume
           configMap:
             name: oauth-callback-script
   

3. Set the PYTHONPATH: Ensure that the directory where oauth_cb.py is mounted is included in the PYTHONPATH. You can set this as an environment variable in the container:

   env:
   - name: PYTHONPATH
     value: /app
   

4. Deploy the Changes: Apply the changes to your Kubernetes cluster:

   kubectl apply -f <your-deployment-file>.yaml
   

This setup will ensure that the oauth_cb.py file is available to the DataHub Actions component and can be used for the OAuth callback function.

If you need more detailed guidance on any specific part of this process, please let me know.

Sources:

• <Slack Discussion on MSK IAM Configuration> 0 button 0 button Hint: Mention @runllm in the thread for followups.

[user-2]

<@U06TM7M40RK> how can I do the same in the kubernettes values.yaml in the section acryl-datahub-actions?

[user-3]

To include the oauth_cb.py file in the acryl-datahub-actions section of your values.yaml file for a Kubernetes deployment, you can use the extraVolumes and extraVolumeMounts fields to mount the ConfigMap containing your Python script. Here’s how you can do it:

1. Create a ConfigMap for the Python Script: First, create a ConfigMap that contains your oauth_cb.py file using the kubectl command:

   kubectl create configmap oauth-callback-script --from-file=oauth_cb.py
   

2. Modify the values.yaml File: Update your values.yaml file to include the extraVolumes and extraVolumeMounts for the acryl-datahub-actions component. Here’s an example configuration:

   acryl-datahub-actions:
     enabled: true
     extraVolumes:
       - name: oauth-callback-volume
         configMap:
           name: oauth-callback-script
     extraVolumeMounts:
       - name: oauth-callback-volume
         mountPath: /app/oauth_cb.py
         subPath: oauth_cb.py
     extraEnvs:
       - name: PYTHONPATH
         value: /app
   

3. Apply the Helm Chart: Use the following command to apply the Helm chart with the updated values.yaml:

   helm upgrade --install datahub datahub/datahub --values values.yaml
   

This setup will ensure that the oauth_cb.py file is available to the acryl-datahub-actions component and can be used for the OAuth callback function.

If you need more detailed guidance on any specific part of this process, please let me know.

Sources:

• <Slack Discussion on MSK IAM Configuration> 0 button 0 button Hint: Mention @runllm in the thread for followups.

[datahub_team]

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 ! ><