github/deprecated-helm-charts
1
0
Fork 0
mirror of https://github.com/helm/charts.git synced 2026-08-23 22:37:45 +00:00
Code Issues Packages Projects Releases Wiki Activity

[stable/dask] Update stable dask with new container versions, better documentation, more options. (#12552)

Browse Source 
* 1) Update API versions to v1, 2) Refactor NOTES.txt to handle different serviceTypes, 3) Create OWNERS file, 4) Add comments for possible serviceType and GPU values in values.yaml, 5) Update README values and add some new sections for serviceTypes and Jupyter password, 6) Lint README, yaml files, and rendered yaml templates, 7) Update container images to v1.1.1

Signed-off-by: Ryan McCormick <rmccormick@nvidia.com>
Signed-off-by: Ryan McCormick <rmccorm4@binghamton.edu>

* address PR #1 comments, 1) Add newline to each EOF, 2) Update YAML comments to have no extra spacing, 3) Add --namespace flag description to README

Signed-off-by: Ryan McCormick <rmccormick@nvidia.com>
Signed-off-by: Ryan McCormick <rmccorm4@binghamton.edu>

* add nodeSelector and imagePullSecrets to deployments

Signed-off-by: Ryan McCormick <rmccorm4@binghamton.edu>

* add nodeSelector and imagePullSecrets to deployments

Signed-off-by: Ryan McCormick <rmccorm4@binghamton.edu>

* change worker arg to variable rather than hardcoded 'dask-worker'

Signed-off-by: Ryan McCormick <rmccorm4@binghamton.edu>

* Add jacobtomlinson to OWNERS

Signed-off-by: Ryan McCormick <rmccorm4@binghamton.edu>

* fix lint error for spaces after comments

Signed-off-by: Ryan McCormick <rmccorm4@binghamton.edu>

* Update README.md

Signed-off-by: Reinhard Nägele <unguiculus@gmail.com>

* apply left whitespace trim and nindent throughout chart templates per unguiculus suggestion

Signed-off-by: Ryan Mccormick <rmccormick@nvidia.com>

* improvement: replace 'default' namespace with '.Release.Namespace' in NOTES.txt output

Signed-off-by: Ryan McCormick <rmccorm4@binghamton.edu>
This commit is contained in:
Ryan McCormick
2019-08-13 00:11:56 -07:00
committed by Kubernetes Prow Robot
parent 22f91ec8cb
commit 387bb25492
10 changed files with 239 additions and 95 deletions
Download Patch File Download Diff File Expand all files Collapse all files
stable/dask/Chart.yaml
+11 -8
View File
@@ -1,14 +1,17 @@
---
apiVersion: v1
name: dask
version: 2.2.1
appVersion: 1.1.0
version: 3.0.0
appVersion: 1.1.5
description: Distributed computation in Python with task scheduling
home: https://dask.pydata.org
home: https://dask.org
icon: https://avatars3.githubusercontent.com/u/17131925?v=3&s=200
sources:
- https://github.com/dask/dask
- https://github.com/dask/dask
maintainers:
- name: danielfrg
email: df.rodriguez143@gmail.com
- name: mrocklin
email: mrocklin@gmail.com
- name: danielfrg
email: df.rodriguez143@gmail.com
- name: mrocklin
email: mrocklin@gmail.com
- name: beberg
email: beberg@gmail.com
stable/dask/OWNERS
+10
View File
@@ -0,0 +1,10 @@
approvers:
- danielfrg
- mrocklin
- beberg
- jacobtomlinson
reviewers:
- danielfrg
- mrocklin
- beberg
- jacobtomlinson
stable/dask/README.md
+88 -27
View File
@@ -2,30 +2,36 @@
Dask allows distributed computation in Python.
- https://dask.pydata.org
- http://jupyter.org/
- <https://dask.org>
- <https://jupyter.org/>
## Chart Details
This chart will deploy 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 (optional) with port 80 exposed on an external LoadBalancer
- All using Kubernetes Deployments
- 1 x Dask scheduler with port 8786 (scheduler) and 80 (Web UI) exposed on an external LoadBalancer (default)
- 3 x Dask workers that connect to the scheduler
- 1 x Jupyter notebook (optional) with port 80 exposed on an external LoadBalancer (default)
- All using Kubernetes Deployments
> **Tip**: See the [Kubernetes Service Type Docs](https://kubernetes.io/docs/concepts/services-networking/service/#publishing-services-service-types)
for the differences between ClusterIP, NodePort, and LoadBalancer.
## Installing the Chart
To install the chart with the release name `my-release`:
```bash
$ helm install --name my-release stable/dask
helm install --name my-release stable/dask
```
## Configuration
Depending on how your cluster was setup, you may also need to specify
a namespace with the following flag: `--namespace my-namespace`.
The following tables list the configurable parameters of the Dask chart and their default values.
## Default Configuration
The following tables list the configurable parameters of the Dask chart and
their default values.
### Dask scheduler
@@ -33,7 +39,7 @@ The following tables list the configurable parameters of the Dask chart and thei
| -------------------------- | -------------------------| -----------------|
| `scheduler.name` | Dask scheduler name | `scheduler` |
| `scheduler.image` | Container image name | `daskdev/dask` |
| `scheduler.imageTag` | Container image tag | `1.1.0` |
| `scheduler.imageTag` | Container image tag | `1.1.5` |
| `scheduler.replicas` | k8s deployment replicas | `1` |
| `scheduler.tolerations` | Tolerations | `[]` |
| `scheduler.nodeSelector` | nodeSelector | `{}` |
@@ -52,22 +58,21 @@ The following tables list the configurable parameters of the Dask chart and thei
| ----------------------- | ---------------------------------| ---------------|
| `worker.name` | Dask worker name | `worker` |
| `worker.image` | Container image name | `daskdev/dask` |
| `worker.imageTag` | Container image tag | `1.1.0` |
| `worker.imageTag` | Container image tag | `1.1.5` |
| `worker.replicas` | k8s hpa and deployment replicas | `3` |
| `worker.resources` | Container resources | `{}` |
| `worker.tolerations` | Tolerations | `[]` |
| `worker.nodeSelector` | nodeSelector | `{}` |
| `worker.affinity` | Container affinity | `{}` |
|
### jupyter
### Jupyter
| Parameter | Description | Default |
|-------------------------|----------------------------------|--------------------------|
| `jupyter.name` | Jupyter name | `jupyter` |
| `jupyter.enabled` | Include optional Jupyter server | `true` |
| `jupyter.image` | Container image name | `daskdev/dask-notebook` |
| `jupyter.imageTag` | Container image tag | `1.1.0` |
| `jupyter.imageTag` | Container image tag | `1.1.5` |
| `jupyter.replicas` | k8s deployment replicas | `1` |
| `jupyter.servicePort` | k8s service port | `80` |
| `jupyter.resources` | Container resources | `{}` |
@@ -75,37 +80,93 @@ The following tables list the configurable parameters of the Dask chart and thei
| `jupyter.nodeSelector` | nodeSelector | `{}` |
| `jupyter.affinity` | Container affinity | `{}` |
Specify each parameter using the `--set key=value[,key=value]` argument to `helm install`.
#### Jupyter Password
Alternatively, a YAML file that specifies the values for the parameters can be provided while installing the chart. For example,
When launching the Jupyter server, you will be prompted for a password. The
default password set in [values.yaml](values.yaml) is `dask`.
```bash
$ helm install --name my-release -f values.yaml stable/dask
```yaml
jupyter:
...
password: 'sha1:aae8550c0a44:9507d45e087d5ee481a5ce9f4f16f37a0867318c' # 'dask'
```
> **Tip**: You can use the default [values.yaml](values.yaml)
To change this password, run `jupyter notebook password` in the command-line,
example below:
```bash
$ jupyter notebook password
Enter password: dask
Verify password: dask
[NotebookPasswordApp] Wrote hashed password to /home/dask/.jupyter/jupyter_notebook_config.json
$ cat /home/dask/.jupyter/jupyter_notebook_config.json
{
"NotebookApp": {
"password": "sha1:aae8550c0a44:9507d45e087d5ee481a5ce9f4f16f37a0867318c"
}
}
```
Replace the `jupyter.password` field in [values.yaml](values.yaml) with the
hash generated for your new password.
## Custom Configuration
If you want to change the default parameters, you can do this in two ways.
### YAML Config Files
You can change the default parameters in `values.yaml`, or create your own
custom YAML config file, and specify this file when installing your chart with
the `-f` flag. Example:
```bash
helm install --name my-release -f values.yaml stable/dask
```
> **Tip**: You can use the default [values.yaml](values.yaml) for reference
### Command-Line Arguments
If you want to change parameters for a specific install without changing
`values.yaml`, you can use the `--set key=value[,key=value]` flag when running
`helm install`, and it will override any default values. Example:
```bash
helm install --name my-release --set jupyter.enabled=false stable/dask
```
### Customizing Python Environment
The default `daskdev/dask` images have a standard Miniconda installation along
with some common packages like NumPy and Pandas. You can install custom packages
with either Conda or Pip using optional environment variables. This happens
when your container starts up. Consider the following config.yaml file as an
example:
when your container starts up.
> **Note**: The `IP:PORT` of this chart's services will not be accessible until
extra packages finish installing. Expect to wait at least a minute for the
Jupyter Server to be accessible if adding packages below, like `numba`. This
time will vary depending on which extra packages you choose to install.
Consider the following YAML config as an example:
```yaml
jupyter:
env:
- EXTRA_PIP_PACKAGES: s3fs git+https://github.com/user/repo.git --upgrade
- EXTRA_CONDA_PACKAGES: scipy matplotlib -c conda-forge
- name: EXTRA_CONDA_PACKAGES
value: numba xarray -c conda-forge
- name: EXTRA_PIP_PACKAGES
value: s3fs dask-ml --upgrade
worker:
env:
- EXTRA_PIP_PACKAGES: s3fs git+https://github.com/user/repo.git --upgrade
- EXTRA_CONDA_PACKAGES: scipy -c conda-forge
- name: EXTRA_CONDA_PACKAGES
value: numba xarray -c conda-forge
- name: EXTRA_PIP_PACKAGES
value: s3fs dask-ml --upgrade
```
Note that the Jupyter and Dask worker environments should have matching
> **Note**: The Jupyter and Dask-worker environments should have matching
software environments, at least where a user is likely to distribute that
functionality.
stable/dask/templates/NOTES.txt
Regular → Executable
+51 -7
View File
@@ -9,16 +9,60 @@ This release includes a Dask scheduler, {{ .Values.worker.replicas }} Dask worke
The Jupyter notebook server and Dask scheduler expose external services to
which you can connect to manage notebooks, or connect directly to the Dask
cluster. You can get these addresses by running the following:
cluster. You can get these addresses by running the following:
{{- if contains "NodePort" .Values.scheduler.serviceType }}
export DASK_SCHEDULER=$(kubectl get nodes --namespace {{ .Release.Namespace }} -o jsonpath='{.items[0].status.addresses[0].address}')
export DASK_SCHEDULER_UI_IP=$(kubectl get nodes --namespace {{ .Release.Namespace }} -o jsonpath='{.items[0].status.addresses[0].address}')
export DASK_SCHEDULER_PORT=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ template "dask.fullname" . }}-scheduler -o jsonpath='{.spec.ports[?(@.name=="{{ template "dask.fullname" . }}-{{ .Values.scheduler.name }}")].nodePort}')
export DASK_SCHEDULER_UI_PORT=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ template "dask.fullname" . }}-scheduler -o jsonpath='{.spec.ports[?(@.name=="{{ template "dask.fullname" . }}-{{ .Values.webUI.name }}")].nodePort}')
{{- else if contains "LoadBalancer" .Values.scheduler.serviceType }}
export DASK_SCHEDULER=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ template "dask.fullname" . }}-scheduler -o jsonpath='{.status.loadBalancer.ingress[0].ip}')
export DASK_SCHEDULER_UI_IP=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ template "dask.fullname" . }}-scheduler -o jsonpath='{.status.loadBalancer.ingress[0].ip}')
export DASK_SCHEDULER_PORT={{ .Values.scheduler.servicePort }}
export DASK_SCHEDULER_UI_PORT={{ .Values.webUI.servicePort }}
{{- else if contains "ClusterIP" .Values.scheduler.serviceType }}
export DASK_SCHEDULER="127.0.0.1"
export DASK_SCHEDULER_UI_IP="127.0.0.1"
export DASK_SCHEDULER_PORT=8080
export DASK_SCHEDULER_UI_PORT=8081
kubectl port-forward --namespace {{ .Release.Namespace }} svc/{{ template "dask.fullname" . }}-scheduler $DASK_SCHEDULER_PORT:{{ .Values.scheduler.servicePort }} &
kubectl port-forward --namespace {{ .Release.Namespace }} svc/{{ template "dask.fullname" . }}-scheduler $DASK_SCHEDULER_UI_PORT:{{ .Values.webUI.servicePort }} &
{{- end }}
{{- if contains "NodePort" .Values.jupyter.serviceType }}
export JUPYTER_NOTEBOOK_IP=$(kubectl get nodes --namespace {{ .Release.Namespace }} -o jsonpath='{.items[0].status.addresses[0].address}')
export JUPYTER_NOTEBOOK_PORT=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ template "dask.fullname" . }}-jupyter -o jsonpath='{.spec.ports[0].nodePort}')
{{- else if contains "LoadBalancer" .Values.jupyter.serviceType }}
export JUPYTER_NOTEBOOK_IP=$(kubectl get svc --namespace {{ .Release.Namespace }} {{ template "dask.fullname" . }}-jupyter -o jsonpath='{.status.loadBalancer.ingress[0].ip}')
echo http://$JUPYTER_NOTEBOOK_IP:{{ .Values.jupyter.servicePort }} -- Jupyter notebook
echo http://$DASK_SCHEDULER_UI_IP:{{ .Values.webUI.servicePort }} -- Dask dashboard
echo http://$DASK_SCHEDULER:{{ .Values.scheduler.servicePort }} -- Dask Client connection
export JUPYTER_NOTEBOOK_PORT={{ .Values.jupyter.servicePort }}
NOTE: The default password to login to the notebook server is `dask`.
{{- else if contains "ClusterIP" .Values.jupyter.serviceType }}
NOTE: It may take a few minutes for the LoadBalancer IP to be available, until that the commands below will not work.
You can watch the status by running 'kubectl get svc --namespace {{ .Release.Namespace }} -w {{ template "dask.fullname" . }}-jupyter'
export JUPYTER_NOTEBOOK_IP="127.0.0.1"
export JUPYTER_NOTEBOOK_PORT=8082
kubectl port-forward --namespace {{ .Release.Namespace }} svc/{{ template "dask.fullname" . }}-jupyter $JUPYTER_NOTEBOOK_PORT:{{ .Values.jupyter.servicePort }} &
{{- end }}
echo tcp://$DASK_SCHEDULER:$DASK_SCHEDULER_PORT -- Dask Client connection
echo http://$DASK_SCHEDULER_UI_IP:$DASK_SCHEDULER_UI_PORT -- Dask dashboard
echo http://$JUPYTER_NOTEBOOK_IP:$JUPYTER_NOTEBOOK_PORT -- Jupyter notebook
NOTE: It may take a few minutes for the LoadBalancer IP to be available. Until then, the commands above will not work for the LoadBalancer service type.
You can watch the status by running 'kubectl get svc --namespace {{ .Release.Namespace }} -w {{ template "dask.fullname" . }}-scheduler'
NOTE: It may take a few minutes for the URLs above to be available if any EXTRA_PIP_PACKAGES or EXTRA_CONDA_PACKAGES were specified,
because they are installed before their respective services start.
NOTE: The default password to login to the notebook server is `dask`. To change this password, refer to the Jupyter password section in values.yaml, or in the README.md.
stable/dask/templates/dask-jupyter-config.yaml
+1 -1
View File
@@ -1,5 +1,5 @@
{{ if .Values.jupyter.enabled -}}
---
apiVersion: v1
kind: ConfigMap
metadata:
stable/dask/templates/dask-jupyter-deployment.yaml
+12 -8
View File
@@ -1,6 +1,6 @@
{{ if .Values.jupyter.enabled -}}
apiVersion: apps/v1beta2
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{ template "dask.fullname" . }}-jupyter
@@ -26,6 +26,8 @@ spec:
release: {{ .Release.Name | quote }}
component: jupyter
spec:
imagePullSecrets:
{{- toYaml .Values.jupyter.image.pullSecrets | nindent 8 }}
containers:
- name: {{ template "dask.fullname" . }}-jupyter
image: "{{ .Values.jupyter.image.repository }}:{{ .Values.jupyter.image.tag }}"
@@ -33,30 +35,32 @@ spec:
ports:
- containerPort: 8888
resources:
{{ toYaml .Values.jupyter.resources | indent 12 }}
{{- toYaml .Values.jupyter.resources | nindent 12 }}
volumeMounts:
- name: config-volume
mountPath: /home/jovyan/.jupyter
env:
- name: DASK_SCHEDULER_ADDRESS
value: {{ template "dask.fullname" . }}-scheduler:{{ .Values.scheduler.servicePort }}
{{- if .Values.jupyter.env }}
{{ toYaml .Values.jupyter.env | indent 12 }}
{{- end }}
{{- if .Values.jupyter.env }}
{{- toYaml .Values.jupyter.env | nindent 12 }}
{{- end }}
nodeSelector:
{{- toYaml .Values.jupyter.nodeSelector | nindent 8 }}
volumes:
- name: config-volume
configMap:
name: {{ template "dask.fullname" . }}-jupyter-config
{{- with .Values.jupyter.nodeSelector }}
nodeSelector:
{{ toYaml . | indent 8 }}
{{- toYaml . | nindent 8 }}
{{- end }}
{{- with .Values.jupyter.affinity }}
affinity:
{{ toYaml . | indent 8 }}
{{- toYaml . | nindent 8 }}
{{- end }}
{{- with .Values.jupyter.tolerations }}
tolerations:
{{ toYaml . | indent 8 }}
{{- toYaml . | nindent 8 }}
{{- end }}
{{- end }}
stable/dask/templates/dask-jupyter-service.yaml
+2 -1
View File
@@ -12,7 +12,8 @@ metadata:
component: jupyter
spec:
ports:
- port: {{ .Values.jupyter.servicePort }}
- name: {{ template "dask.fullname" . }}-jupyter
port: {{ .Values.jupyter.servicePort }}
targetPort: 8888
selector:
app: {{ template "dask.name" . }}
stable/dask/templates/dask-scheduler-deployment.yaml
+8 -6
View File
@@ -1,4 +1,4 @@
apiVersion: apps/v1beta2
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{ template "dask.fullname" . }}-scheduler
@@ -24,6 +24,8 @@ spec:
release: {{ .Release.Name | quote }}
component: scheduler
spec:
imagePullSecrets:
{{- toYaml .Values.scheduler.image.pullSecrets | nindent 8 }}
containers:
- name: {{ template "dask.fullname" . }}-scheduler
image: "{{ .Values.scheduler.image.repository }}:{{ .Values.scheduler.image.tag }}"
@@ -38,18 +40,18 @@ spec:
- containerPort: 8786
- containerPort: 8787
resources:
{{ toYaml .Values.scheduler.resources | indent 12 }}
{{- toYaml .Values.scheduler.resources | nindent 12 }}
env:
{{ toYaml .Values.scheduler.env | indent 12 }}
{{- toYaml .Values.scheduler.env | nindent 12 }}
{{- with .Values.scheduler.nodeSelector }}
nodeSelector:
{{ toYaml . | indent 8 }}
{{- toYaml . | nindent 8 }}
{{- end }}
{{- with .Values.scheduler.affinity }}
affinity:
{{ toYaml . | indent 8 }}
{{- toYaml . | nindent 8 }}
{{- end }}
{{- with .Values.scheduler.tolerations }}
tolerations:
{{ toYaml . | indent 8 }}
{{- toYaml . | nindent 8 }}
{{- end }}
stable/dask/templates/dask-worker-deployment.yaml
+9 -7
View File
@@ -1,4 +1,4 @@
apiVersion: apps/v1beta2
apiVersion: apps/v1
kind: Deployment
metadata:
name: {{ template "dask.fullname" . }}-worker
@@ -24,12 +24,14 @@ spec:
release: {{ .Release.Name | quote }}
component: worker
spec:
imagePullSecrets:
{{- toYaml .Values.worker.image.pullSecrets | nindent 8 }}
containers:
- name: {{ template "dask.fullname" . }}-worker
image: "{{ .Values.worker.image.repository }}:{{ .Values.worker.image.tag }}"
imagePullPolicy: {{ .Values.worker.image.pullPolicy }}
args:
- dask-worker
- {{ .Values.worker.image.dask_worker }}
- {{ template "dask.fullname" . }}-scheduler:{{ .Values.scheduler.servicePort }}
{{- if .Values.worker.resources.limits }}
- --nthreads
@@ -41,18 +43,18 @@ spec:
ports:
- containerPort: 8789
resources:
{{ toYaml .Values.worker.resources | indent 12 }}
{{- toYaml .Values.worker.resources | nindent 12 }}
env:
{{ toYaml .Values.worker.env | indent 12 }}
{{- toYaml .Values.worker.env | nindent 12 }}
{{- with .Values.worker.nodeSelector }}
nodeSelector:
{{ toYaml . | indent 8 }}
{{- toYaml . | nindent 8 }}
{{- end }}
{{- with .Values.worker.affinity }}
affinity:
{{ toYaml . | indent 8 }}
{{- toYaml . | nindent 8 }}
{{- end }}
{{- with .Values.worker.tolerations }}
tolerations:
{{ toYaml . | indent 8 }}
{{- toYaml . | nindent 8 }}
{{- end }}
stable/dask/values.yaml
+47 -30
View File
@@ -1,3 +1,4 @@
---
# nameOverride: dask
# fullnameOverride: dask
@@ -5,18 +6,23 @@ scheduler:
name: scheduler
image:
repository: "daskdev/dask"
tag: 1.1.0
tag: 1.1.5
pullPolicy: IfNotPresent
# See https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
pullSecrets:
# - name: regcred
replicas: 1
# serviceType: "ClusterIP"
# serviceType: "NodePort"
serviceType: "LoadBalancer"
servicePort: 8786
resources: {}
# limits:
# cpu: 1.8
# memory: 6G
# requests:
# cpu: 1.8
# memory: 6G
# limits:
# cpu: 1.8
# memory: 6G
# requests:
# cpu: 1.8
# memory: 6G
tolerations: []
nodeSelector: {}
affinity: {}
@@ -29,25 +35,31 @@ worker:
name: worker
image:
repository: "daskdev/dask"
tag: 1.1.0
tag: 1.1.5
pullPolicy: IfNotPresent
# dask_worker: "dask-cuda-worker"
dask_worker: "dask-worker"
pullSecrets:
# - name: regcred
replicas: 3
aptPackages: >-
default_resources: # overwritten by resource limits if they exist
cpu: 1
memory: "4GiB"
env:
# - name: EXTRA_CONDA_PACKAGES
# value: numba xarray -c conda-forge
# - name: EXTRA_PIP_PACKAGES
# value: s3fs dask-ml --upgrade
# - name: EXTRA_CONDA_PACKAGES
# value: numba xarray -c conda-forge
# - name: EXTRA_PIP_PACKAGES
# value: s3fs dask-ml --upgrade
resources: {}
# limits:
# cpu: 1
# memory: 3G
# requests:
# cpu: 1
# memory: 3G
# limits:
# cpu: 1
# memory: 3G
# nvidia.com/gpu: 1
# requests:
# cpu: 1
# memory: 3G
# nvidia.com/gpu: 1
tolerations: []
nodeSelector: {}
affinity: {}
@@ -57,24 +69,29 @@ jupyter:
enabled: true
image:
repository: "daskdev/dask-notebook"
tag: 1.1.0
tag: 1.1.5
pullPolicy: IfNotPresent
pullSecrets:
# - name: regcred
replicas: 1
# serviceType: "ClusterIP"
# serviceType: "NodePort"
serviceType: "LoadBalancer"
servicePort: 80
password: 'sha1:aae8550c0a44:9507d45e087d5ee481a5ce9f4f16f37a0867318c' # 'dask'
# This hash corresponds to the password 'dask'
password: 'sha1:aae8550c0a44:9507d45e087d5ee481a5ce9f4f16f37a0867318c'
env:
# - name: EXTRA_CONDA_PACKAGES
# value: numba xarray -c conda-forge
# - name: EXTRA_PIP_PACKAGES
# value: s3fs dask-ml --upgrade
# - name: EXTRA_CONDA_PACKAGES
# value: "numba xarray -c conda-forge"
# - name: EXTRA_PIP_PACKAGES
# value: "s3fs dask-ml --upgrade"
resources: {}
# limits:
# cpu: 2
# memory: 6G
# requests:
# cpu: 2
# memory: 6G
# limits:
# cpu: 2
# memory: 6G
# requests:
# cpu: 2
# memory: 6G
tolerations: []
nodeSelector: {}
affinity: {}