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https://github.com/gaocegege/ray-operator-deprecated
Not Maintained Please have a look at https://github.com/ray-project/ray/pull/5492
https://github.com/gaocegege/ray-operator-deprecated
Last synced: 9 days ago
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Not Maintained Please have a look at https://github.com/ray-project/ray/pull/5492
- Host: GitHub
- URL: https://github.com/gaocegege/ray-operator-deprecated
- Owner: gaocegege
- Created: 2019-07-26T07:37:30.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2019-08-19T10:10:21.000Z (about 5 years ago)
- Last Synced: 2024-10-07T12:20:49.227Z (about 1 month ago)
- Language: Go
- Homepage:
- Size: 4.57 MB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ray-operator
This operator is still in early stage, do not use it in prod.
Table of Contents
=================
* [ray-operator](#ray-operator)
* [Clone](#clone)
* [Build](#build)
* [HOWTO](#howto)
* [Design](#design)
* [LoC](#loc)
Created by [gh-md-toc](https://github.com/ekalinin/github-markdown-toc)
## Clone
```
git clone https://github.com/gaocegege/ray-operator
mkdir -p $GOPATH/src/github.com/kubeflow/
mv ./ray-operator $GOPATH/src/github.com/kubeflow/
```
## Build
```sh
cd $GOPATH/src/github.com/kubeflow/ray-operator
build
```
## HOWTO
```yaml
apiVersion: ray.kubeflow.org/v1
kind: Ray
metadata:
name: sample-cluster
spec:
head:
replicas: 1
template:
spec:
containers:
- name: ray-head
image: rayproject/examples
command: [ "/bin/bash", "-c", "--" ]
args: ["ray start --head --redis-port=6379 --redis-shard-ports=6380,6381 --object-manager-port=12345 --node-manager-port=12346 --node-ip-address=$RAY_NODE_IP --block"]
ports:
- containerPort: 6379
- containerPort: 6380
- containerPort: 6381
- containerPort: 12345
- containerPort: 12346
resources:
requests:
cpu: 500m
limit:
cpu: 1
worker:
replicas: 3
template:
spec:
containers:
- name: ray-worker
image: rayproject/examples
command: ["/bin/bash", "-c", "--"]
args: ["ray start --node-ip-address=$RAY_NODE_IP --redis-address=$(python -c 'import socket;import sys;import os; sys.stdout.write(socket.gethostbyname(os.environ[\"RAY_HEAD_SERVICE\"]));sys.stdout.flush()'):6379 --object-manager-port=12345 --node-manager-port=12346 --block"]
ports:
- containerPort: 12345
- containerPort: 12346
resources:
requests:
cpu: 500m
limit:
cpu: 1
```
Then you could run `kubectl describe ray`.
```
$ kubectl describe ray
...
Status:
Conditions:
Last Transition Time: 2019-08-17T10:41:54Z
Last Update Time: 2019-08-17T10:42:28Z
Status: Unknown
Type: RayWorkerDeploymentReplicaFailure
Last Transition Time: 2019-08-17T10:41:54Z
Last Update Time: 2019-08-17T10:42:28Z
Status: Unknown
Type: RayHeadDeploymentReplicaFailure
Last Transition Time: 2019-08-17T10:42:28Z
Last Update Time: 2019-08-17T10:42:28Z
Status: True
Type: Health
Last Transition Time: 2019-08-17T10:41:54Z
Last Update Time: 2019-08-17T10:42:28Z
Message: ReplicaSet "sample-cluster-head-8684888b99" has successfully progressed.
Reason: NewReplicaSetAvailable
Status: True
Type: RayHeadDeploymentProgressing
Last Transition Time: 2019-08-17T10:41:54Z
Last Update Time: 2019-08-17T10:42:28Z
Message: ReplicaSet "sample-cluster-worker-7447bd5cbc" has successfully progressed.
Reason: NewReplicaSetAvailable
Status: True
Type: RayWorkerDeploymentProgressing
Last Transition Time: 2019-08-17T10:41:57Z
Last Update Time: 2019-08-17T10:42:28Z
Status: True
Type: RayHeadDeploymentAvailable
Last Transition Time: 2019-08-17T10:42:28Z
Last Update Time: 2019-08-17T10:42:28Z
Status: True
Type: RayWorkerDeploymentAvailable
Head:
Available Replicas: 1
Ready Replicas: 1
Replicas: 1
Updated Replicas: 1
Last Reconcile Time: 2019-08-17T10:42:28Z
Observed Generation: 1
Start Time: 2019-08-17T10:41:54Z
Worker:
Available Replicas: 3
Ready Replicas: 3
Replicas: 3
Updated Replicas: 3
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal SuccessfullyCreate 3m30s ray-operator Successfully create the service sample-cluster-head
Normal SuccessfullyCreate 3m30s ray-operator Successfully create the deployment sample-cluster-head
Normal SuccessfullyCreate 3m30s ray-operator Successfully create the deployment sample-cluster-worker
```
There is a condition `Health`, which shows if all components are ready in the Ray cluster. Besides this, you can get the status of the Head and Worker in `status.head` and `status.worker`:
```
Status:
Head:
Available Replicas: 1
Ready Replicas: 1
Replicas: 1
Updated Replicas: 1
Worker:
Available Replicas: 3
Ready Replicas: 3
Replicas: 3
Updated Replicas: 3
```
It shows the the most recently observed status of the Head and Worker. In this case, we get 3 available workers and 1 available head.
## Design
[Design Document](./docs/design.md)
## LoC
```sh
cloc . --exclude-dir=vendor,docs,config,hack --exclude-lang=Markdown,make,Dockerfile
21 text files.
21 unique files.
8 files ignored.
github.com/AlDanial/cloc v 1.74 T=0.04 s (324.6 files/s, 31442.0 lines/s)
-------------------------------------------------------------------------------
Language files blank comment code
-------------------------------------------------------------------------------
Go 14 188 196 972
-------------------------------------------------------------------------------
SUM: 14 188 196 972
-------------------------------------------------------------------------------
```