Add deprecation notices to Dask chart (#18419)

* Add deprecation notices to Dask chart

Signed-off-by: Jacob Tomlinson <jacob@tomlinson.email>

* Update stable/dask/Chart.yaml

Co-Authored-By: Scott Rigby <scott@r6by.com>
Signed-off-by: Jacob Tomlinson <jacob@tomlinson.email>
This commit is contained in:
Jacob Tomlinson
2019-12-19 08:49:57 -08:00
committed by Kubernetes Prow Robot
co-authored by Scott Rigby
parent 7103e65f00
commit 663b7151c0
3 changed files with 28 additions and 13 deletions
+7 -9
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@@ -1,17 +1,15 @@
---
apiVersion: v1
name: dask
version: 3.1.0
version: 3.1.1
appVersion: 1.1.5
description: Distributed computation in Python with task scheduling
# This chart is deprecated and no longer maintained. For details deprecation,
# including how to un-deprecate a chart see the PROCESSES.md file.
# New charts can be found at https://github.com/dask/helm-chart
deprecated: true
description: DEPRECATED Distributed computation in Python with task scheduling
home: https://dask.org
icon: https://avatars3.githubusercontent.com/u/17131925?v=3&s=200
sources:
- https://github.com/dask/dask
maintainers:
- name: danielfrg
email: df.rodriguez143@gmail.com
- name: mrocklin
email: mrocklin@gmail.com
- name: beberg
email: beberg@gmail.com
maintainers: []
+10 -1
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@@ -1,4 +1,13 @@
# Dask Helm Chart
# Dask Helm Chart - DEPRECATED
**This chart is deprecated! You can find the new chart in:**
- **Sources:** https://github.com/dask/helm-chart
- **Charts repository:** https://helm.dask.org/
```bash
helm repo add dask https://helm.dask.org/
```
Dask allows distributed computation in Python.
+11 -3
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@@ -1,3 +1,11 @@
DEPRECATION WARNING
-------------------
This chart is now deprecated and will not receive further updates!
You can find the new chart at https://helm.dask.org/.
--------------------
Thank you for installing {{ .Chart.Name | upper }}, released at name: {{ .Release.Name }}.
To learn more about the release, try:
@@ -5,7 +13,7 @@ To learn more about the release, try:
$ helm status {{ .Release.Name }} # information about running pods and this message
$ helm get {{ .Release.Name }} # get full Kubernetes specification
This release includes a Dask scheduler, {{ .Values.worker.replicas }} Dask workers, and {{ .Values.jupyter.replicas }} Jupyter servers.
This release includes a Dask scheduler, {{ .Values.worker.replicas }} Dask workers, and {{ .Values.jupyter.replicas }} Jupyter servers.
The Jupyter notebook server and Dask scheduler expose external services to
which you can connect to manage notebooks, or connect directly to the Dask
@@ -33,7 +41,7 @@ cluster. You can get these addresses by running the following:
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 $DASK_SCHEDULER_UI_PORT:{{ .Values.webUI.servicePort }} &
{{- end }}
@@ -59,7 +67,7 @@ cluster. You can get these addresses by running the following:
echo http://$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.
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,