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I'm running in to this also. Would like to be able to run experiments with different dependent libraries (and send them to the workers with an env_var) without having to change the base image of my ray cluster.
When we use
ray.init(runtime_env={"env_vars":"xxx"})
, executors cannot get "env_vars" while it is critical for executors in many scenarios.It is because
RayAppMaster
will raise a new job which is separated from the worker pod ofRayDPSparkMaster
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