Rename redis-port to port and add default (#8406)

python/ray/autoscaler/aws/development-example.yaml

@@ -111,7 +111,7 @@ worker_setup_commands: []
 # Command to start ray on the head node. You don't need to change this.
 head_start_ray_commands:
     - ray stop
-    - ulimit -n 65536; ray start --head --num-redis-shards=10 --redis-port=6379 --autoscaling-config=~/ray_bootstrap_config.yaml
+    - ulimit -n 65536; ray start --head --num-redis-shards=10 --port=6379 --autoscaling-config=~/ray_bootstrap_config.yaml
 
 # Command to start ray on worker nodes. You don't need to change this.
 worker_start_ray_commands:

python/ray/autoscaler/aws/example-full.yaml

@@ -134,7 +134,7 @@ worker_setup_commands: []
 # Command to start ray on the head node. You don't need to change this.
 head_start_ray_commands:
     - ray stop
-    - ulimit -n 65536; ray start --head --redis-port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml
+    - ulimit -n 65536; ray start --head --port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml
 
 # Command to start ray on worker nodes. You don't need to change this.
 worker_start_ray_commands:

python/ray/autoscaler/aws/example-gpu-docker.yaml

@@ -119,7 +119,7 @@ worker_setup_commands: []
 # Command to start ray on the head node. You don't need to change this.
 head_start_ray_commands:
     - ray stop
-    - ulimit -n 65536; ray start --head --redis-port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml
+    - ulimit -n 65536; ray start --head --port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml
 
 # Command to start ray on worker nodes. You don't need to change this.
 worker_start_ray_commands:

python/ray/autoscaler/azure/example-full.yaml

@@ -122,7 +122,7 @@ worker_setup_commands: []
 # Command to start ray on the head node. You don't need to change this.
 head_start_ray_commands:
     - ray stop
-    - ulimit -n 65536; ray start --head --redis-port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml
+    - ulimit -n 65536; ray start --head --port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml
 
 # Command to start ray on worker nodes. You don't need to change this.
 worker_start_ray_commands:

python/ray/autoscaler/azure/example-gpu-docker.yaml

@@ -92,7 +92,7 @@ worker_setup_commands: []
 # Command to start ray on the head node. You don't need to change this.
 head_start_ray_commands:
     - ray stop
-    - ulimit -n 65536; ray start --head --redis-port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml
+    - ulimit -n 65536; ray start --head --port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml
 
 # Command to start ray on worker nodes. You don't need to change this.
 worker_start_ray_commands:

python/ray/autoscaler/azure/example-gpu.yaml

@@ -124,7 +124,7 @@ worker_setup_commands: []
 # Command to start ray on the head node. You don't need to change this.
 head_start_ray_commands:
     - ray stop
-    - ulimit -n 65536; ray start --head --redis-port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml
+    - ulimit -n 65536; ray start --head --port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml
 
 # Command to start ray on worker nodes. You don't need to change this.
 worker_start_ray_commands:

python/ray/autoscaler/gcp/example-full.yaml

@@ -149,7 +149,7 @@ head_start_ray_commands:
       ulimit -n 65536;
       ray start
       --head
-      --redis-port=6379
+      --port=6379
       --object-manager-port=8076
       --autoscaling-config=~/ray_bootstrap_config.yaml
 

python/ray/autoscaler/gcp/example-gpu-docker.yaml

@@ -158,7 +158,7 @@ head_start_ray_commands:
       ulimit -n 65536;
       ray start
       --head
-      --redis-port=6379
+      --port=6379
       --object-manager-port=8076
       --autoscaling-config=~/ray_bootstrap_config.yaml
 

python/ray/autoscaler/kubernetes/example-full.yaml

@@ -238,7 +238,7 @@ worker_setup_commands: []
 # Note webui-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 --num-cpus=$MY_CPU_REQUEST --redis-port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml --webui-host 0.0.0.0
+    - ulimit -n 65536; ray start --head --num-cpus=$MY_CPU_REQUEST --port=6379 --object-manager-port=8076 --autoscaling-config=~/ray_bootstrap_config.yaml --webui-host 0.0.0.0
 
 # Command to start ray on worker nodes. You don't need to change this.
 worker_start_ray_commands:

python/ray/autoscaler/local/development-example.yaml

@@ -26,7 +26,7 @@ setup_commands:
 #    - source activate ray && cd ray/python && pip install -e .
 head_start_ray_commands:
     - source activate ray && ray stop
-    - source activate ray && ulimit -c unlimited && ray start --head --redis-port=6379 --autoscaling-config=~/ray_bootstrap_config.yaml
+    - source activate ray && ulimit -c unlimited && ray start --head --port=6379 --autoscaling-config=~/ray_bootstrap_config.yaml
 worker_start_ray_commands:
     - source activate ray && ray stop
     - source activate ray && ray start --address=$RAY_HEAD_IP:6379

python/ray/autoscaler/local/example-full.yaml

@@ -75,7 +75,7 @@ worker_setup_commands: []
 # Command to start ray on the head node. You don't need to change this.
 head_start_ray_commands:
     - ray stop
-    - ulimit -c unlimited && ray start --head --redis-port=6379 --autoscaling-config=~/ray_bootstrap_config.yaml
+    - ulimit -c unlimited && ray start --head --port=6379 --autoscaling-config=~/ray_bootstrap_config.yaml
 
 # Command to start ray on worker nodes. You don't need to change this.
 worker_start_ray_commands: