# DolphinScheduler [DolphinScheduler](https://dolphinscheduler.apache.org) is a distributed and easy-to-expand visual DAG workflow scheduling system, dedicated to solving the complex dependencies in data processing, making the scheduling system out of the box for data processing. ## Introduction This chart bootstraps a [DolphinScheduler](https://dolphinscheduler.apache.org) distributed deployment on a [Kubernetes](http://kubernetes.io) cluster using the [Helm](https://helm.sh) package manager. ## Prerequisites - [Helm](https://helm.sh/) 3.1.0+ - [Kubernetes](https://kubernetes.io/) 1.12+ - PV provisioner support in the underlying infrastructure ## Installing the Chart To install the chart with the release name `dolphinscheduler`: ```bash $ git clone https://github.com/apache/incubator-dolphinscheduler.git $ cd incubator-dolphinscheduler/docker/kubernetes/dolphinscheduler $ helm repo add bitnami https://charts.bitnami.com/bitnami $ helm dependency update . $ helm install dolphinscheduler . ``` To install the chart with a namespace named `test`: ```bash $ helm install dolphinscheduler . -n test ``` > **Tip**: If a namespace named `test` is used, the option `-n test` needs to be added to the `helm` and `kubectl` command These commands deploy DolphinScheduler on the Kubernetes cluster in the default configuration. The [configuration](#configuration) section lists the parameters that can be configured during installation. > **Tip**: List all releases using `helm list` ## Access DolphinScheduler UI If `ingress.enabled` in `values.yaml` is set to `true`, you just access `http://${ingress.host}/dolphinscheduler` in browser. > **Tip**: If there is a problem with ingress access, please contact the Kubernetes administrator and refer to the [Ingress](https://kubernetes.io/docs/concepts/services-networking/ingress/) Otherwise, you need to execute port-forward command like: ```bash $ kubectl port-forward --address 0.0.0.0 svc/dolphinscheduler-api 12345:12345 $ kubectl port-forward --address 0.0.0.0 -n test svc/dolphinscheduler-api 12345:12345 # with test namespace ``` > **Tip**: If the error of `unable to do port forwarding: socat not found` appears, you need to install `socat` at first And then access the web: http://192.168.xx.xx:12345/dolphinscheduler The default username is `admin` and the default password is `dolphinscheduler123` ## Uninstalling the Chart To uninstall/delete the `dolphinscheduler` deployment: ```bash $ helm uninstall dolphinscheduler ``` The command removes all the Kubernetes components but PVC's associated with the chart and deletes the release. To delete the PVC's associated with `dolphinscheduler`: ```bash $ kubectl delete pvc -l app.kubernetes.io/instance=dolphinscheduler ``` > **Note**: Deleting the PVC's will delete all data as well. Please be cautious before doing it. ## Configuration The Configuration file is `values.yaml`, and the following tables lists the configurable parameters of the DolphinScheduler chart and their default values. | Parameter | Description | Default | | --------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------ | ----------------------------------------------------- | | `nameOverride` | String to partially override common.names.fullname | `nil` | | `fullnameOverride` | String to fully override common.names.fullname | `nil` | | `timezone` | World time and date for cities in all time zones | `Asia/Shanghai` | | `image.registry` | Docker image registry for the DolphinScheduler | `docker.io` | | `image.repository` | Docker image repository for the DolphinScheduler | `apache/dolphinscheduler` | | `image.tag` | Docker image version for the DolphinScheduler | `latest` | | `image.pullPolicy` | Image pull policy. One of Always, Never, IfNotPresent | `IfNotPresent` | | `image.pullSecrets` | Image pull secrets. An optional list of references to secrets in the same namespace to use for pulling any of the images | `[]` | | | | | | `postgresql.enabled` | If not exists external PostgreSQL, by default, the DolphinScheduler will use a internal PostgreSQL | `true` | | `postgresql.postgresqlUsername` | The username for internal PostgreSQL | `root` | | `postgresql.postgresqlPassword` | The password for internal PostgreSQL | `root` | | `postgresql.postgresqlDatabase` | The database for internal PostgreSQL | `dolphinscheduler` | | `postgresql.persistence.enabled` | Set `postgresql.persistence.enabled` to `true` to mount a new volume for internal PostgreSQL | `false` | | `postgresql.persistence.size` | `PersistentVolumeClaim` Size | `20Gi` | | `postgresql.persistence.storageClass` | PostgreSQL data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` | | `externalDatabase.type` | If exists external PostgreSQL, and set `postgresql.enabled` value to false. DolphinScheduler's database type will use it | `postgresql` | | `externalDatabase.driver` | If exists external PostgreSQL, and set `postgresql.enabled` value to false. DolphinScheduler's database driver will use it | `org.postgresql.Driver` | | `externalDatabase.host` | If exists external PostgreSQL, and set `postgresql.enabled` value to false. DolphinScheduler's database host will use it | `localhost` | | `externalDatabase.port` | If exists external PostgreSQL, and set `postgresql.enabled` value to false. DolphinScheduler's database port will use it | `5432` | | `externalDatabase.username` | If exists external PostgreSQL, and set `postgresql.enabled` value to false. DolphinScheduler's database username will use it | `root` | | `externalDatabase.password` | If exists external PostgreSQL, and set `postgresql.enabled` value to false. DolphinScheduler's database password will use it | `root` | | `externalDatabase.database` | If exists external PostgreSQL, and set `postgresql.enabled` value to false. DolphinScheduler's database database will use it | `dolphinscheduler` | | `externalDatabase.params` | If exists external PostgreSQL, and set `postgresql.enabled` value to false. DolphinScheduler's database params will use it | `characterEncoding=utf8` | | | | | | `zookeeper.enabled` | If not exists external Zookeeper, by default, the DolphinScheduler will use a internal Zookeeper | `true` | | `zookeeper.fourlwCommandsWhitelist` | A list of comma separated Four Letter Words commands to use | `srvr,ruok,wchs,cons` | | `zookeeper.service.port` | ZooKeeper port | `2181` | | `zookeeper.persistence.enabled` | Set `zookeeper.persistence.enabled` to `true` to mount a new volume for internal Zookeeper | `false` | | `zookeeper.persistence.size` | `PersistentVolumeClaim` Size | `20Gi` | | `zookeeper.persistence.storageClass` | Zookeeper data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` | | `zookeeper.zookeeperRoot` | Specify dolphinscheduler root directory in Zookeeper | `/dolphinscheduler` | | `externalZookeeper.zookeeperQuorum` | If exists external Zookeeper, and set `zookeeper.enabled` value to false. Specify Zookeeper quorum | `127.0.0.1:2181` | | `externalZookeeper.zookeeperRoot` | If exists external Zookeeper, and set `zookeeper.enabled` value to false. Specify dolphinscheduler root directory in Zookeeper | `/dolphinscheduler` | | | | | | `common.configmap.DOLPHINSCHEDULER_ENV` | System env path, self configuration, please read `values.yaml` | `[]` | | `common.configmap.DOLPHINSCHEDULER_DATA_BASEDIR_PATH` | User data directory path, self configuration, please make sure the directory exists and have read write permissions | `/tmp/dolphinscheduler` | | `common.configmap.RESOURCE_STORAGE_TYPE` | Resource storage type: HDFS, S3, NONE | `HDFS` | | `common.configmap.RESOURCE_UPLOAD_PATH` | Resource store on HDFS/S3 path, please make sure the directory exists on hdfs and have read write permissions | `/dolphinscheduler` | | `common.configmap.FS_DEFAULT_FS` | Resource storage file system like `file:///`, `hdfs://mycluster:8020` or `s3a://dolphinscheduler` | `file:///` | | `common.configmap.FS_S3A_ENDPOINT` | S3 endpoint when `common.configmap.RESOURCE_STORAGE_TYPE` is set to `S3` | `s3.xxx.amazonaws.com` | | `common.configmap.FS_S3A_ACCESS_KEY` | S3 access key when `common.configmap.RESOURCE_STORAGE_TYPE` is set to `S3` | `xxxxxxx` | | `common.configmap.FS_S3A_SECRET_KEY` | S3 secret key when `common.configmap.RESOURCE_STORAGE_TYPE` is set to `S3` | `xxxxxxx` | | `common.fsFileResourcePersistence.enabled` | Set `common.fsFileResourcePersistence.enabled` to `true` to mount a new file resource volume for `api` and `worker` | `false` | | `common.fsFileResourcePersistence.accessModes` | `PersistentVolumeClaim` Access Modes, must be `ReadWriteMany` | `[ReadWriteMany]` | | `common.fsFileResourcePersistence.storageClassName` | Resource Persistent Volume Storage Class, must support the access mode: ReadWriteMany | `-` | | `common.fsFileResourcePersistence.storage` | `PersistentVolumeClaim` Size | `20Gi` | | | | | | `master.podManagementPolicy` | PodManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down | `Parallel` | | `master.replicas` | Replicas is the desired number of replicas of the given Template | `3` | | `master.annotations` | The `annotations` for master server | `{}` | | `master.affinity` | If specified, the pod's scheduling constraints | `{}` | | `master.nodeSelector` | NodeSelector is a selector which must be true for the pod to fit on a node | `{}` | | `master.tolerations` | If specified, the pod's tolerations | `{}` | | `master.resources` | The `resource` limit and request config for master server | `{}` | | `master.configmap.DOLPHINSCHEDULER_OPTS` | The java options for master server | `""` | | `master.configmap.MASTER_EXEC_THREADS` | Master execute thread num | `100` | | `master.configmap.MASTER_EXEC_TASK_NUM` | Master execute task number in parallel | `20` | | `master.configmap.MASTER_HEARTBEAT_INTERVAL` | Master heartbeat interval | `10` | | `master.configmap.MASTER_TASK_COMMIT_RETRYTIMES` | Master commit task retry times | `5` | | `master.configmap.MASTER_TASK_COMMIT_INTERVAL` | Master commit task interval | `1000` | | `master.configmap.MASTER_MAX_CPULOAD_AVG` | Only less than cpu avg load, master server can work. default value : the number of cpu cores * 2 | `100` | | `master.configmap.MASTER_RESERVED_MEMORY` | Only larger than reserved memory, master server can work. default value : physical memory * 1/10, unit is G | `0.1` | | `master.configmap.MASTER_LISTEN_PORT` | Master listen port | `5678` | | `master.livenessProbe.enabled` | Turn on and off liveness probe | `true` | | `master.livenessProbe.initialDelaySeconds` | Delay before liveness probe is initiated | `30` | | `master.livenessProbe.periodSeconds` | How often to perform the probe | `30` | | `master.livenessProbe.timeoutSeconds` | When the probe times out | `5` | | `master.livenessProbe.failureThreshold` | Minimum consecutive successes for the probe | `3` | | `master.livenessProbe.successThreshold` | Minimum consecutive failures for the probe | `1` | | `master.readinessProbe.enabled` | Turn on and off readiness probe | `true` | | `master.readinessProbe.initialDelaySeconds` | Delay before readiness probe is initiated | `30` | | `master.readinessProbe.periodSeconds` | How often to perform the probe | `30` | | `master.readinessProbe.timeoutSeconds` | When the probe times out | `5` | | `master.readinessProbe.failureThreshold` | Minimum consecutive successes for the probe | `3` | | `master.readinessProbe.successThreshold` | Minimum consecutive failures for the probe | `1` | | `master.persistentVolumeClaim.enabled` | Set `master.persistentVolumeClaim.enabled` to `true` to mount a new volume for `master` | `false` | | `master.persistentVolumeClaim.accessModes` | `PersistentVolumeClaim` Access Modes | `[ReadWriteOnce]` | | `master.persistentVolumeClaim.storageClassName` | `Master` logs data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` | | `master.persistentVolumeClaim.storage` | `PersistentVolumeClaim` Size | `20Gi` | | | | | | `worker.podManagementPolicy` | PodManagementPolicy controls how pods are created during initial scale up, when replacing pods on nodes, or when scaling down | `Parallel` | | `worker.replicas` | Replicas is the desired number of replicas of the given Template | `3` | | `worker.annotations` | The `annotations` for worker server | `{}` | | `worker.affinity` | If specified, the pod's scheduling constraints | `{}` | | `worker.nodeSelector` | NodeSelector is a selector which must be true for the pod to fit on a node | `{}` | | `worker.tolerations` | If specified, the pod's tolerations | `{}` | | `worker.resources` | The `resource` limit and request config for worker server | `{}` | | `worker.configmap.DOLPHINSCHEDULER_OPTS` | The java options for worker server | `""` | | `worker.configmap.WORKER_EXEC_THREADS` | Worker execute thread num | `100` | | `worker.configmap.WORKER_HEARTBEAT_INTERVAL` | Worker heartbeat interval | `10` | | `worker.configmap.WORKER_MAX_CPULOAD_AVG` | Only less than cpu avg load, worker server can work. default value : the number of cpu cores * 2 | `100` | | `worker.configmap.WORKER_RESERVED_MEMORY` | Only larger than reserved memory, worker server can work. default value : physical memory * 1/10, unit is G | `0.1` | | `worker.configmap.WORKER_LISTEN_PORT` | Worker listen port | `1234` | | `worker.configmap.WORKER_GROUPS` | Worker groups | `default` | | `worker.configmap.WORKER_WEIGHT` | Worker weight | `100` | | `worker.livenessProbe.enabled` | Turn on and off liveness probe | `true` | | `worker.livenessProbe.initialDelaySeconds` | Delay before liveness probe is initiated | `30` | | `worker.livenessProbe.periodSeconds` | How often to perform the probe | `30` | | `worker.livenessProbe.timeoutSeconds` | When the probe times out | `5` | | `worker.livenessProbe.failureThreshold` | Minimum consecutive successes for the probe | `3` | | `worker.livenessProbe.successThreshold` | Minimum consecutive failures for the probe | `1` | | `worker.readinessProbe.enabled` | Turn on and off readiness probe | `true` | | `worker.readinessProbe.initialDelaySeconds` | Delay before readiness probe is initiated | `30` | | `worker.readinessProbe.periodSeconds` | How often to perform the probe | `30` | | `worker.readinessProbe.timeoutSeconds` | When the probe times out | `5` | | `worker.readinessProbe.failureThreshold` | Minimum consecutive successes for the probe | `3` | | `worker.readinessProbe.successThreshold` | Minimum consecutive failures for the probe | `1` | | `worker.persistentVolumeClaim.enabled` | Set `worker.persistentVolumeClaim.enabled` to `true` to enable `persistentVolumeClaim` for `worker` | `false` | | `worker.persistentVolumeClaim.dataPersistentVolume.enabled` | Set `worker.persistentVolumeClaim.dataPersistentVolume.enabled` to `true` to mount a data volume for `worker` | `false` | | `worker.persistentVolumeClaim.dataPersistentVolume.accessModes` | `PersistentVolumeClaim` Access Modes | `[ReadWriteOnce]` | | `worker.persistentVolumeClaim.dataPersistentVolume.storageClassName` | `Worker` data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` | | `worker.persistentVolumeClaim.dataPersistentVolume.storage` | `PersistentVolumeClaim` Size | `20Gi` | | `worker.persistentVolumeClaim.logsPersistentVolume.enabled` | Set `worker.persistentVolumeClaim.logsPersistentVolume.enabled` to `true` to mount a logs volume for `worker` | `false` | | `worker.persistentVolumeClaim.logsPersistentVolume.accessModes` | `PersistentVolumeClaim` Access Modes | `[ReadWriteOnce]` | | `worker.persistentVolumeClaim.logsPersistentVolume.storageClassName` | `Worker` logs data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` | | `worker.persistentVolumeClaim.logsPersistentVolume.storage` | `PersistentVolumeClaim` Size | `20Gi` | | | | | | `alert.replicas` | Replicas is the desired number of replicas of the given Template | `1` | | `alert.strategy.type` | Type of deployment. Can be "Recreate" or "RollingUpdate" | `RollingUpdate` | | `alert.strategy.rollingUpdate.maxSurge` | The maximum number of pods that can be scheduled above the desired number of pods | `25%` | | `alert.strategy.rollingUpdate.maxUnavailable` | The maximum number of pods that can be unavailable during the update | `25%` | | `alert.annotations` | The `annotations` for alert server | `{}` | | `alert.affinity` | If specified, the pod's scheduling constraints | `{}` | | `alert.nodeSelector` | NodeSelector is a selector which must be true for the pod to fit on a node | `{}` | | `alert.tolerations` | If specified, the pod's tolerations | `{}` | | `alert.resources` | The `resource` limit and request config for alert server | `{}` | | `alert.configmap.DOLPHINSCHEDULER_OPTS` | The java options for alert server | `""` | | `alert.configmap.ALERT_PLUGIN_DIR` | Alert plugin directory | `lib/plugin/alert` | | `alert.livenessProbe.enabled` | Turn on and off liveness probe | `true` | | `alert.livenessProbe.initialDelaySeconds` | Delay before liveness probe is initiated | `30` | | `alert.livenessProbe.periodSeconds` | How often to perform the probe | `30` | | `alert.livenessProbe.timeoutSeconds` | When the probe times out | `5` | | `alert.livenessProbe.failureThreshold` | Minimum consecutive successes for the probe | `3` | | `alert.livenessProbe.successThreshold` | Minimum consecutive failures for the probe | `1` | | `alert.readinessProbe.enabled` | Turn on and off readiness probe | `true` | | `alert.readinessProbe.initialDelaySeconds` | Delay before readiness probe is initiated | `30` | | `alert.readinessProbe.periodSeconds` | How often to perform the probe | `30` | | `alert.readinessProbe.timeoutSeconds` | When the probe times out | `5` | | `alert.readinessProbe.failureThreshold` | Minimum consecutive successes for the probe | `3` | | `alert.readinessProbe.successThreshold` | Minimum consecutive failures for the probe | `1` | | `alert.persistentVolumeClaim.enabled` | Set `alert.persistentVolumeClaim.enabled` to `true` to mount a new volume for `alert` | `false` | | `alert.persistentVolumeClaim.accessModes` | `PersistentVolumeClaim` Access Modes | `[ReadWriteOnce]` | | `alert.persistentVolumeClaim.storageClassName` | `Alert` logs data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` | | `alert.persistentVolumeClaim.storage` | `PersistentVolumeClaim` Size | `20Gi` | | | | | | `api.replicas` | Replicas is the desired number of replicas of the given Template | `1` | | `api.strategy.type` | Type of deployment. Can be "Recreate" or "RollingUpdate" | `RollingUpdate` | | `api.strategy.rollingUpdate.maxSurge` | The maximum number of pods that can be scheduled above the desired number of pods | `25%` | | `api.strategy.rollingUpdate.maxUnavailable` | The maximum number of pods that can be unavailable during the update | `25%` | | `api.annotations` | The `annotations` for api server | `{}` | | `api.affinity` | If specified, the pod's scheduling constraints | `{}` | | `api.nodeSelector` | NodeSelector is a selector which must be true for the pod to fit on a node | `{}` | | `api.tolerations` | If specified, the pod's tolerations | `{}` | | `api.resources` | The `resource` limit and request config for api server | `{}` | | `api.configmap.DOLPHINSCHEDULER_OPTS` | The java options for api server | `""` | | `api.livenessProbe.enabled` | Turn on and off liveness probe | `true` | | `api.livenessProbe.initialDelaySeconds` | Delay before liveness probe is initiated | `30` | | `api.livenessProbe.periodSeconds` | How often to perform the probe | `30` | | `api.livenessProbe.timeoutSeconds` | When the probe times out | `5` | | `api.livenessProbe.failureThreshold` | Minimum consecutive successes for the probe | `3` | | `api.livenessProbe.successThreshold` | Minimum consecutive failures for the probe | `1` | | `api.readinessProbe.enabled` | Turn on and off readiness probe | `true` | | `api.readinessProbe.initialDelaySeconds` | Delay before readiness probe is initiated | `30` | | `api.readinessProbe.periodSeconds` | How often to perform the probe | `30` | | `api.readinessProbe.timeoutSeconds` | When the probe times out | `5` | | `api.readinessProbe.failureThreshold` | Minimum consecutive successes for the probe | `3` | | `api.readinessProbe.successThreshold` | Minimum consecutive failures for the probe | `1` | | `api.persistentVolumeClaim.enabled` | Set `api.persistentVolumeClaim.enabled` to `true` to mount a new volume for `api` | `false` | | `api.persistentVolumeClaim.accessModes` | `PersistentVolumeClaim` Access Modes | `[ReadWriteOnce]` | | `api.persistentVolumeClaim.storageClassName` | `api` logs data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` | | `api.persistentVolumeClaim.storage` | `PersistentVolumeClaim` Size | `20Gi` | | | | | | `ingress.enabled` | Enable ingress | `false` | | `ingress.host` | Ingress host | `dolphinscheduler.org` | | `ingress.path` | Ingress path | `/dolphinscheduler` | | `ingress.tls.enabled` | Enable ingress tls | `false` | | `ingress.tls.secretName` | Ingress tls secret name | `dolphinscheduler-tls` | ## FAQ ### How to use MySQL as the DolphinScheduler's database instead of PostgreSQL? > Because of the commercial license, we cannot directly use the driver and client of MySQL. > > If you want to use MySQL, you can build a new image based on the `apache/dolphinscheduler` image as follows. 1. Download the MySQL driver [mysql-connector-java-5.1.49.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.49/mysql-connector-java-5.1.49.jar) (require `>=5.1.47`) 2. Create a new `Dockerfile` to add MySQL driver and client: ``` FROM apache/dolphinscheduler:latest COPY mysql-connector-java-5.1.49.jar /opt/dolphinscheduler/lib RUN apk add --update --no-cache mysql-client ``` 3. Build a new docker image including MySQL driver and client: ``` docker build -t apache/dolphinscheduler:mysql . ``` 4. Push the docker image `apache/dolphinscheduler:mysql` to a docker registry 5. Modify image `registry` and `repository`, and update `tag` to `mysql` in `values.yaml` 6. Modify postgresql `enabled` to `false` 7. Modify externalDatabase (especially modify `host`, `username` and `password`): ``` externalDatabase: type: "mysql" driver: "com.mysql.jdbc.Driver" host: "localhost" port: "3306" username: "root" password: "root" database: "dolphinscheduler" params: "useUnicode=true&characterEncoding=UTF-8" ``` 8. Run a DolphinScheduler release in Kubernetes (See **Installing the Chart**) ### How to support MySQL datasource in `Datasource manage`? > Because of the commercial license, we cannot directly use the driver of MySQL. > > If you want to add MySQL datasource, you can build a new image based on the `apache/dolphinscheduler` image as follows. 1. Download the MySQL driver [mysql-connector-java-5.1.49.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.49/mysql-connector-java-5.1.49.jar) (require `>=5.1.47`) 2. Create a new `Dockerfile` to add MySQL driver: ``` FROM apache/dolphinscheduler:latest COPY mysql-connector-java-5.1.49.jar /opt/dolphinscheduler/lib ``` 3. Build a new docker image including MySQL driver: ``` docker build -t apache/dolphinscheduler:mysql-driver . ``` 4. Push the docker image `apache/dolphinscheduler:mysql-driver` to a docker registry 5. Modify image `registry` and `repository`, and update `tag` to `mysql-driver` in `values.yaml` 6. Run a DolphinScheduler release in Kubernetes (See **Installing the Chart**) 7. Add a MySQL datasource in `Datasource manage` ### How to support Oracle datasource in `Datasource manage`? > Because of the commercial license, we cannot directly use the driver of Oracle. > > If you want to add Oracle datasource, you can build a new image based on the `apache/dolphinscheduler` image as follows. 1. Download the Oracle driver [ojdbc8.jar](https://repo1.maven.org/maven2/com/oracle/database/jdbc/ojdbc8/) (such as `ojdbc8-19.9.0.0.jar`) 2. Create a new `Dockerfile` to add Oracle driver: ``` FROM apache/dolphinscheduler:latest COPY ojdbc8-19.9.0.0.jar /opt/dolphinscheduler/lib ``` 3. Build a new docker image including Oracle driver: ``` docker build -t apache/dolphinscheduler:oracle-driver . ``` 4. Push the docker image `apache/dolphinscheduler:oracle-driver` to a docker registry 5. Modify image `registry` and `repository`, and update `tag` to `oracle-driver` in `values.yaml` 6. Run a DolphinScheduler release in Kubernetes (See **Installing the Chart**) 7. Add a Oracle datasource in `Datasource manage` For more information please refer to the [incubator-dolphinscheduler](https://github.com/apache/incubator-dolphinscheduler.git) documentation.