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deprecated-helm-charts/stable/dask-distributed/README.md
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AdamDang 747b6763ed Typo fix in dask-distributed/README.md (#4307)
* add version for dask-distributed

add version for dask-distributed

* Typo fix in dask-distributed/README.md

Typo fix in dask-distributed/README.md
2018-03-20 20:59:03 -07:00

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# Deprecated
This chart has been deprecated.
See the chart in `stable/dask` instead.
# Dask Distributed Helm Chart
Dask Distributed allows distributed computation in Python the chart also includes a single user Jupyter Notebook.
* https://github.com/dask/distributed
* http://jupyter.org/
## Chart Details
This chart will do the following:
* 1 x Dask scheduler with port 8786 (scheduler) and 80 (Web UI) exposed on an external LoadBalancer
* 3 x Dask workers that connect to the scheduler
* 1 x Jupyter notebook with port 80 exposed on an external LoadBalancer
* All using Kubernetes Deployments
## Installing the Chart
To install the chart with the release name `my-release`:
```bash
$ helm install --name my-release stable/dask-distributed
```
## Configuration
The following tables list the configurable parameters of the Dask chart and their default values.
### Dask scheduler
| Parameter | Description | Default |
| -------------------------- | ---------------------------------- | ---------------------------------------------------------- |
| `scheduler.name` | Dask master name | `dask-master` |
| `scheduler.image` | Container image name | `dask2/dask` |
| `scheduler.imageTag` | Container image tag | `latest` |
| `scheduler.replicas` | k8s deployment replicas | `1` |
| `scheduler.component` | k8s selector key | `dask-scheduler` |
| `scheduler.cpu` | container requested cpu | `500m` |
| `scheduler.containerPort` | Container listening port | `8786` |
| `scheduler.resources` | Container resources | `{}` |
### Dask webUI
| Parameter | Description | Default |
|-----------------------|----------------------------------|----------------------------------------------------------|
| `webUI.name` | Dask webui name | `dask-webui` |
| `webUI.servicePort` | k8s service port | `8787` |
| `webUI.containerPort` | Container listening port | `8787` |
### Dask worker
| Parameter | Description | Default |
| ----------------------- | ------------------------------------ | ---------------------------------------------------------- |
| `worker.name` | Dask worker name | `dask-worker` |
| `worker.image` | Container image name | `daskdev/dask` |
| `worker.imageTag` | Container image tag | `1.5.1_v3` |
| `worker.replicas` | k8s hpa and deployment replicas | `3` |
| `worker.replicasMax` | k8s hpa max replicas | `10` |
| `worker.component` | k8s selector key | `dask-worker` |
| `worker.containerPort` | Container listening port | `7077` |
| `worker.resources` | Container resources | `{}` |
### jupyter
| Parameter | Description | Default |
|-------------------------|----------------------------------|----------------------------------------------------------|
| `jupyter.name` | jupyter name | `jupyter` |
| `jupyter.image` | Container image name | `jupyter/base-notebook` |
| `jupyter.imageTag` | Container image tag | `11be019e4079` |
| `jupyter.replicas` | k8s deployment replicas | `1` |
| `jupyter.component` | k8s selector key | `jupyter` |
| `jupyter.servicePort` | k8s service port | `80` |
| `jupyter.containerPort` | Container listening port | `8888` |
| `jupyter.resources` | Container resources | `{}` |
Specify each parameter using the `--set key=value[,key=value]` argument to `helm install`.
Alternatively, a YAML file that specifies the values for the parameters can be provided while installing the chart. For example,
```bash
$ helm install --name my-release -f values.yaml stable/dask
```
> **Tip**: You can use the default [values.yaml](values.yaml)