How severe does this issue affect your experience of using Ray?
- Low: It annoys or frustrates me for a moment.
Hi there! so I have kubernetes cluster, and I deploy two pods:
notebook-pods → one that deploy my notebook to cluster
cluster-pods → using KubeRay operator, running the cluster example in the website
- The only difference is that I’m not using
rayproject:rayimage, instead I’m using my own image (let’s call this image A) which already has all python dependencies, including ray[default, data, tune] that I need.
- in the notebook pods yaml file I already declared env variables
I open jupyter lab from notebook-pods, then I want to connect to ray cluster, and run the first few lines of data example here
With the following code in jupyter lab
import ray ray.init(address=ray://<ray-cluster-name>.<mynamespace>.svc.cluster.local:10001') ds = ray.data.range(10000) ds.take(5)
It works just fine, but that kinda defeat the purpose of declaring the
RAY_ADDRESS in the pod yaml file isn’t?
So I thought I don’t need to run
ray.init() and just run
ds = ray.data.range(10000), but it breaks
2023-01-27 06:02:18,939 INFO worker.py:1230 -- Using address ray://<ray-cluster-name>.<mynamespace>.svc.cluster.local:10001 set in the environment variable RAY_ADDRESS . . (truncated) . . TypeError: 'str' object cannot be interpreted as an integer
why does it break? despite it seems like to be able to connect to remote ray cluster?