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Oracle Database Operator for Kubernetes

Make Oracle Database Kubernetes Native

As part of Oracle's resolution to make Oracle Database Kubernetes native (that is, observable and operable by Kubernetes), Oracle released Oracle Database Operator for Kubernetes (OraOperator or the operator). OraOperator extends the Kubernetes API with custom resources and controllers for automating Oracle Database lifecycle management.

In this v1.1.0 production release, OraOperator supports the following database configurations and infrastructure:

  • Oracle Autonomous Database:
    • Oracle Autonomous Database shared Oracle Cloud Infrastructure (OCI) (ADB-S)
    • Oracle Autonomous Database on dedicated Cloud infrastructure (ADB-D)
    • Oracle Autonomous Container Database (ACD) (infrastructure) is the infrastructure for provisioning Autonomous Databases.
  • Containerized Single Instance databases (SIDB) deployed in the Oracle Kubernetes Engine (OKE) and any k8s where OraOperator is deployed
  • Containerized Oracle Globally Distributed Databases(GDD) deployed in OKE and any k8s where OraOperator is deployed
  • Oracle Multitenant Databases (CDB/PDBs)
  • Oracle Base Database Cloud Service (BDBCS)
  • Oracle Data Guard (Preview status)
  • Oracle Database Observability (Preview status)

Oracle will continue to extend OraOperator to support additional Oracle Database configurations.

New in V1.1.0 Release

  • Namespace scope deployment option
  • Enhanced security with namespace scope deployment option
  • Support for Oracle Database 23ai Free (with SIDB)
  • Automatic Storage Expansion for SIDB and Oracle Globally Distributed Database
  • User-Defined Sharding
  • TCPS support customer provided certs
  • Execute custom scripts during DB setup/startup
  • Patching for SIDB Primary/Standby in Data Guard
  • Long-term backup for Autonomous Databases (ADB): Support for long-term retention backup and removed support for the deprecated mandatory backup
  • Wallet expiry date for ADB: A user-friendly enhancement to display the wallet expiry date in the status of the associated ADB
  • Wait-for-Completion option for ADB: Supports kubectl wait command that allows the user to wait for a specific condition on ADB
  • OKE workload Identify: Supports OKE workload identity authentication method (i.e., uses OKE credentials). For more details, refer to Oracle Autonomous Database (ADB) Prerequisites
  • Database Observability (Preview - Metrics)

Features Summary

This release of Oracle Database Operator for Kubernetes (the operator) supports the following lifecycle operations:

  • ADB-S/ADB-D: Provision, bind, start, stop, terminate (soft/hard), scale (up/down), long-term backup, manual restore
  • ACD: provision, bind, restart, terminate (soft/hard)
  • SIDB: Provision, clone, patch (in-place/out-of-place), update database initialization parameters, update database configuration (Flashback, archiving), Oracle Enterprise Manager (EM) Express (a basic observability console), Oracle REST Data Service (ORDS) to support REST based SQL, PDB management, SQL Developer Web, and Application Express (Apex)
  • GDD: Provision/deploy Oracle Globally Distributed Databases and the GDD topology, Add a new shard, Delete an existing shard
  • Oracle Multitenant Database: Bind to a CDB, Create a  PDB, Plug a  PDB, Unplug a PDB, Delete a PDB, Clone a PDB, Open/Close a PDB
  • Oracle Base Database Cloud Service (BDBCS): provision, bind, scale shape Up/Down, Scale Storage Up, Terminate and Update License
  • Oracle Data Guard: Provision a Standby for the SIDB resource, Create a Data Guard Configuration, Perform a Switchover, Patch Primary and Standby databases in Data Guard Configuration
  • Oracle Database Observability: create, patch, delete databaseObserver resources
  • Watch over a set of namespaces or all the namespaces in the cluster using the "WATCH_NAMESPACE" env variable of the operator deployment

The upcoming releases will support new configurations, operations, and capabilities.

Release Status

This production release has been installed and tested on the following Kubernetes platforms:

Prerequisites

Oracle strongly recommends that you ensure your system meets the following Prerequisites.

  • Install cert-manager

    The operator uses webhooks for validating user input before persisting it in etcd. Webhooks require TLS certificates that are generated and managed by a certificate manager.

    Install the certificate manager with the following command:

    kubectl apply -f https://github.com/cert-manager/cert-manager/releases/download/v1.14.4/cert-manager.yaml

  • Create Role Bindings for Access Management

    OraOperator supports the following two modes of deployment:

    1. Cluster Scoped Deployment

    This is the default mode, in which OraOperator is deployed to operate in a cluster, and to monitor all the namespaces in the cluster.

    • Grant the serviceaccount:oracle-database-operator-system:default cluster wide access for the resources by applying cluster-role-binding.yaml

        kubectl apply -f rbac/cluster-role-binding.yaml

    • Next, apply the oracle-database-operator.yaml to deploy the Operator

        kubectl apply -f oracle-database-operator.yaml
    2. Namespace Scoped Deployment

    In this mode, OraOperator can be deployed to operate in a namespace, and to monitor one or many namespaces.

    • Grant serviceaccount:oracle-database-operator-system:default service account with resource access in the required namespaces. For example, to monitor only the default namespace, apply the default-ns-role-binding.yaml

        kubectl apply -f rbac/default-ns-role-binding.yaml

      To watch additional namespaces, create different role binding files for each namespace, using default-ns-role-binding.yaml as a template, and changing the metadata.name and metadata.namespace fields

    • Next, edit the oracle-database-operator.yaml to add the required namespaces under WATCH_NAMESPACE. Use comma-delimited values for multiple namespaces.

      - name: WATCH_NAMESPACE
  value: "default"

    • Finally, apply the edited oracle-database-operator.yaml to deploy the Operator

        kubectl apply -f oracle-database-operator.yaml

  • ClusterRole and ClusterRoleBinding for NodePort services

    To expose services on each node's IP and port (the NodePort) apply the node-rbac.yaml. Note that this step is not required for LoadBalancer services.

      kubectl apply -f rbac/node-rbac.yaml

Installation

Install Oracle DB Operator

After you have completed the preceding prerequisite changes, you can install the operator. To install the operator in the cluster quickly, you can apply the modified oracle-database-operator.yaml file from the preceding step.

Run the following command

kubectl apply -f oracle-database-operator.yaml

Ensure that the operator pods are up and running. For high availability, Operator pod replicas are set to a default of 3. You can scale this setting up or down.

$ kubectl get pods -n oracle-database-operator-system

  NAME                                                                 READY   STATUS    RESTARTS   AGE
  pod/oracle-database-operator-controller-manager-78666fdddb-s4xcm     1/1     Running   0          11d
  pod/oracle-database-operator-controller-manager-78666fdddb-5k6n4     1/1     Running   0          11d
  pod/oracle-database-operator-controller-manager-78666fdddb-t6bzb     1/1     Running   0          11d
  • Check the resources

You should see that the operator is up and running, along with the shipped controllers.

For more details, see Oracle Database Operator Installation Instructions.

Documentation

Getting Started with the Operator (Quickstart)

The following quickstarts are designed for specific database configurations:

The following quickstart is designed for non-database configurations:

Examples

YAML file templates are available under /config/samples. You can copy and edit these template files to configure them for your use cases.

Uninstall the Operator

To uninstall the operator, the final step consists of deciding whether you want to delete the custom resource definitions (CRDs) and Kubernetes APIServices introduced into the cluster by the operator. Choose one of the following options:

  • Delete the CRDs and APIServices

    To delete all the CRD instances deployed to cluster by the operator, run the following commands, where is the namespace of the cluster object:

    kubectl delete oraclerestdataservice.database.oracle.com --all -n <namespace>
kubectl delete singleinstancedatabase.database.oracle.com --all -n <namespace>
kubectl delete shardingdatabase.database.oracle.com --all -n <namespace>
kubectl delete dbcssystem.database.oracle.com --all -n <namespace>
kubectl delete autonomousdatabase.database.oracle.com --all -n <namespace>
kubectl delete autonomousdatabasebackup.database.oracle.com --all -n <namespace>
kubectl delete autonomousdatabaserestore.database.oracle.com --all -n <namespace>
kubectl delete autonomouscontainerdatabase.database.oracle.com --all -n <namespace>
kubectl delete cdb.database.oracle.com --all -n <namespace>
kubectl delete pdb.database.oracle.com --all -n <namespace>
kubectl delete dataguardbrokers.database.oracle.com --all -n <namespace>
kubectl delete databaseobserver.observability.oracle.com --all -n <namespace>

  • Delete the RBACs

    cat rbac/* | kubectl delete -f -

  • Delete the Deployment

    After all CRD instances are deleted, it is safe to remove the CRDs, APIServices and operator deployment. To remove these files, use the following command:

    kubectl delete -f oracle-database-operator.yaml --ignore-not-found=true

    Note: If the CRD instances are not deleted, and the operator is deleted by using the preceding command, then operator deployment and instance objects (pods, services, PVCs, and so on) are deleted. However, if that happens, then the CRD deletion stops responding. This is because the CRD instances have properties that prevent their deletion, and that can only be removed by the operator pod, which is deleted when the APIServices are deleted.

Documentation for the supported Oracle Database configurations

Contributing

This project welcomes contributions from the community. Before submitting a pull request, please review our contribution guide

Help

You can submit a GitHub issue, oir submit an issue and then file an Oracle Support service request. To file an issue or a service request, use the following product ID: 14430.

Security

Please consult the security guide for our responsible security vulnerability disclosure process

Managing Sensitive Data

Kubernetes secrets are the usual means for storing credentials or passwords input for access. The operator reads the Secrets programmatically, which limits exposure of sensitive data. However, to protect your sensitive data, Oracle strongly recommends that you set and get sensitive data from Oracle Cloud Infrastructure Vault, or from third-party Vaults.

The following is an example of a YAML file fragment for specifying Oracle Cloud Infrastructure Vault as the repository for the admin password.

 adminPassword:
      ociSecretOCID: ocid1.vaultsecret.oc1...

Examples in this repository where passwords are entered on the command line are for demonstration purposes only.

License

Copyright (c) 2022, 2024 Oracle and/or its affiliates. Released under the Universal Permissive License v1.0 as shown at https://oss.oracle.com/licenses/upl/