Running Spark Jobs in Different Namespaces

This guide explains how to configure Ilum to run Spark jobs in namespaces different from the default application deployment namespace. By default, Ilum creates a default cluster that runs jobs within the same namespace as the Ilum deployment, but you can modify Helm values to enable job execution in arbitrary namespaces.

সংক্ষিপ্ত বিবরণ ​

By default, Ilum:

• Creates a default Kubernetes cluster for running Spark jobs
• Deploys all Spark resources (drivers, executors, ConfigMaps, etc.) in the same namespace as the Ilum installation
• Uses the namespaces of application deployment from helm {{ . {{পতাকা|রিলিজ.নেমস্পেস}} value for running spark resources within default cluster

However, there are scenarios where you might want to run Spark jobs in different namespaces:

• Multi-tenancy: Isolating different teams or projects
• Resource management: Applying different resource quotas and limits per namespace
• নিরাপত্তা : Implementing namespace-level RBAC policies
• Compliance: Meeting organizational namespace separation requirements

Key Configuration Parameters​

The primary Helm values that control namespace behavior are:

Minimal Configuration for Different Namespaces​

Basic Setup​

To enable Spark jobs to run in a different namespace, use the following minimal Helm configuration:

হেলম আপগ্রেড ইলুম ইলুম / ইলুম \ 
--set ilum-core.kubernetes.upgradeClusterOnStartup=true \ 
  --set ilum-core.kubernetes.s3.host=ilum-minio.{ILUM_DEPLOYMENT_NAMESPACE} \
  --set ilum-core.job.openLineage.transport.serverUrl="http://ilum-marquez.{ILUM_DEPLOYMENT_NAMESPACE}:9555" \
  --set ilum-core.metastore.hive.address="thrift://ilum-hive-metastore.{ILUM_DEPLOYMENT_NAMESPACE}:9083" \
  --set ilum-core.historyServer.address="http://ilum-history-server.{ILUM_DEPLOYMENT_NAMESPACE}:9666" \
  --set ilum-core.grpc.job.host="ilum-grpc.{ILUM_DEPLOYMENT_NAMESPACE}" \
--পুনঃব্যবহার-মান 

This configuration ensures correct hosts resolution in spark jobs

And then change the default cluster namespace on ilum-ui edit cluster form

Namespace Creation and Management​

Automatic Namespace Creation​

Important: Ilum's automatic namespace creation feature may conflict with ilum-core restricted RBAC Helm configuration being enabled (it is disabled by default). When using restricted RBAC, you need to:

1. Manually create the target namespace before running jobs:

   kubectl create namespace spark-jobs
   

2. Create spark related RBAC resources like ClusterRole and ClusterRoleBinding according to your needs and then configure your default cluster to use created resources

সমস্যা সমাধান ​

Common Issues and Solutions​

1. Jobs Fail to Start in Target Namespace​

Symptoms: Spark jobs fail with permission errors or "namespace not found" errors.

Solutions:

• Verify the namespace exists: kubectl get namespace <namespace-name>
• Check RBAC permissions for the Ilum service account
• Ensure kubernetes.upgradeClusterOnStartup=true is set

2. Storage Access Issues​

Symptoms: Jobs fail with storage access errors or "bucket not found" errors.

Solutions:

• Verify storage configuration parameters are correct
• Check that storage buckets/containers exist and are accessible
• Ensure storage credentials are properly configured

3. Resource Quota Exceeded​

Symptoms: Jobs fail with "exceeded quota" errors.

Solutions:

• Check namespace resource quotas: kubectl describe quota -n <namespace>
• Adjust resource requests in job configurations
• Increase namespace resource limits if needed

4. Configuration Not Applied​

Symptoms: Jobs still run in the default namespace despite configuration changes.

Solutions:

• Ensure kubernetes.upgradeClusterOnStartup=true is set
• Restart Ilum core pods to apply configuration changes:

  kubectl rollout restart deployment/ilum-core
  
• Verify configuration in Ilum UI under Clusters section

5. Network Connectivity Issues​

Symptoms: Jobs fail with network timeouts or connection refused errors.

Solutions:

• Verify network policies allow communication between namespaces
• Check service discovery and DNS resolution
• Ensure required services are accessible from the target namespace

Verification Commands​

Use these commands to verify your configuration:

# Check if namespace exists
kubectl get namespace <target-namespace>

# Verify RBAC permissions
kubectl auth can-i create pods --namespace=<target-namespace> --as=system:serviceaccount:<ilum-namespace>:ilum-core

# Check resource quotas and limits
kubectl describe quota -n <target-namespace>
kubectl describe limitrange -n <target-namespace>

# Monitor job creation
kubectl get pods -n <target-namespace> -w

# Check Ilum core logs
kubectl logs -f deployment/ilum-core -n <ilum-namespace>

সর্বোত্তম অনুশীলন ​

1. Namespace Naming: Use descriptive names that reflect the purpose (e.g., spark-production, spark-dev, team-alpha-spark)

2. Resource Planning: Set appropriate resource quotas and limits based on expected workload

3. নিরাপত্তা : Implement proper RBAC policies and network policies for namespace isolation

4. নজরদারি : Set up monitoring and alerting for namespace-specific metrics

5. ডকুমেন্টেশন : Document namespace purposes and configurations for team reference

6. পরীক্ষা : Test namespace configurations in development environments before applying to production

Related Configuration​

For additional configuration options, refer to:

• Ilum Core Configuration - Complete Helm values reference
• রিসোর্স কন্ট্রোল - Kubernetes resource management
• Production Deployment - Production environment setup
• Security Configuration - RBAC and security settings

This configuration enables flexible namespace management while maintaining the full functionality of Ilum's Spark job execution capabilities.