Change client port from 50051 to 10001. Remove ray-client-server arg.

Ray client now runs on the head node by default using port 10001.
ray-project · Feb 6, 2021 · 0b96c84 · 0b96c84
1 parent 0dee6e0
commit 0b96c84
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Showing 6 changed files with 16 additions and 16 deletions.
diff --git a/python/ray/autoscaler/kubernetes/defaults.yaml b/python/ray/autoscaler/kubernetes/defaults.yaml
@@ -86,8 +86,8 @@ provider:
             ports:
                 - name: client
                   protocol: TCP
-                  port: 50051
-                  targetPort: 50051
+                  port: 10001
+                  targetPort: 10001
                 - name: dashboard
                   protocol: TCP
                   port: 8265
@@ -138,7 +138,7 @@ head_node:
           args: ["trap : TERM INT; sleep infinity & wait;"]
           ports:
           - containerPort: 6379  # Redis port
-          - containerPort: 50051  # Used by Ray Client
+          - containerPort: 10001  # Used by Ray Client
           - containerPort: 8265  # Used by Ray Dashboard
 
           # This volume allocates shared memory for Ray to use for its plasma
@@ -253,7 +253,7 @@ worker_setup_commands: []
 # Note dashboard-host is set to 0.0.0.0 so that kubernetes can port forward.
 head_start_ray_commands:
     - ray stop
-    - ulimit -n 65536; ray start --head --autoscaling-config=~/ray_bootstrap_config.yaml --dashboard-host 0.0.0.0 --ray-client-server-port 50051
+    - ulimit -n 65536; ray start --head --autoscaling-config=~/ray_bootstrap_config.yaml --dashboard-host 0.0.0.0
 
 # Command to start ray on worker nodes. You don't need to change this.
 worker_start_ray_commands:

diff --git a/python/ray/autoscaler/kubernetes/example-full.yaml b/python/ray/autoscaler/kubernetes/example-full.yaml
@@ -86,8 +86,8 @@ provider:
             ports:
                 - name: client
                   protocol: TCP
-                  port: 50051
-                  targetPort: 50051
+                  port: 10001
+                  targetPort: 10001
                 - name: dashboard
                   protocol: TCP
                   port: 8265
@@ -138,7 +138,7 @@ head_node:
           args: ["trap : TERM INT; sleep infinity & wait;"]
           ports:
           - containerPort: 6379  # Redis port
-          - containerPort: 50051  # Used by Ray Client
+          - containerPort: 10001  # Used by Ray Client
           - containerPort: 8265  # Used by Ray Dashboard
 
           # This volume allocates shared memory for Ray to use for its plasma
@@ -253,7 +253,7 @@ worker_setup_commands: []
 # Note dashboard-host is set to 0.0.0.0 so that kubernetes can port forward.
 head_start_ray_commands:
     - ray stop
-    - ulimit -n 65536; ray start --head --autoscaling-config=~/ray_bootstrap_config.yaml --dashboard-host 0.0.0.0 --ray-client-server-port 50051
+    - ulimit -n 65536; ray start --head --autoscaling-config=~/ray_bootstrap_config.yaml --dashboard-host 0.0.0.0
 
 # Command to start ray on worker nodes. You don't need to change this.
 worker_start_ray_commands:

diff --git a/python/ray/autoscaler/kubernetes/example-minimal.yaml b/python/ray/autoscaler/kubernetes/example-minimal.yaml
@@ -73,8 +73,8 @@ provider:
             ports:
                 - name: client
                   protocol: TCP
-                  port: 50051
-                  targetPort: 50051
+                  port: 10001
+                  targetPort: 10001
                 - name: dashboard
                   protocol: TCP
                   port: 8265

diff --git a/python/ray/autoscaler/kubernetes/example_scripts/run_local_example.py b/python/ray/autoscaler/kubernetes/example_scripts/run_local_example.py
@@ -7,11 +7,11 @@
 
 Before running this script, you must port-forward from the local host to
 the relevant Kubernetes head service e.g.
-kubectl -n ray port-forward service/example-cluster-ray-head 50051:50051.
+kubectl -n ray port-forward service/example-cluster-ray-head 10001:10001.
 
 Set the constant LOCAL_PORT below to the local port being forwarded.
 """
-LOCAL_PORT = 50051
+LOCAL_PORT = 10001
 
 
 @ray.remote

diff --git a/python/ray/autoscaler/kubernetes/operator_configs/example_cluster.yaml b/python/ray/autoscaler/kubernetes/operator_configs/example_cluster.yaml
@@ -43,7 +43,7 @@ spec:
           args: ['trap : TERM INT; sleep infinity & wait;']
           ports:
           - containerPort: 6379  # Redis port
-          - containerPort: 50051  # Used by Ray Client
+          - containerPort: 10001  # Used by Ray Client
           - containerPort: 8265  # Used by Ray Dashboard
 
           # This volume allocates shared memory for Ray to use for its plasma
@@ -114,7 +114,7 @@ spec:
   # Note dashboard-host is set to 0.0.0.0 so that Kubernetes can port forward.
   headStartRayCommands:
     - ray stop
-    - ulimit -n 65536; ray start --head --no-monitor --dashboard-host 0.0.0.0 --ray-client-server-port 50051
+    - ulimit -n 65536; ray start --head --no-monitor --dashboard-host 0.0.0.0
   # Commands to start Ray on worker nodes. You don't need to change this.
   workerStartRayCommands:
     - ray stop

diff --git a/python/ray/autoscaler/kubernetes/operator_configs/example_cluster2.yaml b/python/ray/autoscaler/kubernetes/operator_configs/example_cluster2.yaml
@@ -43,7 +43,7 @@ spec:
           args: ['trap : TERM INT; sleep infinity & wait;']
           ports:
           - containerPort: 6379  # Redis port
-          - containerPort: 50051  # Used by Ray Client
+          - containerPort: 10001  # Used by Ray Client
           - containerPort: 8265  # Used by Ray Dashboard
 
           # This volume allocates shared memory for Ray to use for its plasma
@@ -114,7 +114,7 @@ spec:
   # Note dashboard-host is set to 0.0.0.0 so that Kubernetes can port forward.
   headStartRayCommands:
     - ray stop
-    - ulimit -n 65536; ray start --head --no-monitor --dashboard-host 0.0.0.0 --ray-client-server-port 50051
+    - ulimit -n 65536; ray start --head --no-monitor --dashboard-host 0.0.0.0
   # Commands to start Ray on worker nodes. You don't need to change this.
   workerStartRayCommands:
     - ray stop