[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.
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.
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.
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:
The Configuration file is `values.yaml`, and the following tables lists the configurable parameters of the DolphinScheduler chart and their default values.
| `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.persistence.storageClass` | Zookeeper data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` |
| `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_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_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.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 | `-` |
| `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.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.persistentVolumeClaim.storageClassName` | `Master` logs data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` |
| `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.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.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.storageClassName` | `Worker` data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` |
| `worker.persistentVolumeClaim.logsPersistentVolume.enabled` | Set `worker.persistentVolumeClaim.logsPersistentVolume.enabled` to `true` to mount a logs volume for `worker` | `false` |
| `worker.persistentVolumeClaim.logsPersistentVolume.storageClassName` | `Worker` logs data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` |
| `alert.persistentVolumeClaim.storageClassName` | `Alert` logs data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` |
| `api.persistentVolumeClaim.storageClassName` | `api` logs data Persistent Volume Storage Class. If set to "-", storageClassName: "", which disables dynamic provisioning | `-` |
### 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:
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`)
