ray/doc/source/data/big_data_ingestion.yaml

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cluster_name: big_data_ingestion.yaml
max_workers: 86
provider:
type: aws
region: us-west-1
auth:
ssh_user: ubuntu
available_node_types:
head:
node_config:
InstanceType: i3.8xlarge
BlockDeviceMappings:
- DeviceName: /dev/sda1
Ebs:
VolumeSize: 300
resources: { }
gpu_nodes:
min_workers: 16
max_workers: 16
node_config:
InstanceType: i3.8xlarge
BlockDeviceMappings:
- DeviceName: /dev/sda1
Ebs:
VolumeSize: 300
resources:
GPU: 1
memory_nodes:
min_workers: 70
max_workers: 70
node_config:
InstanceType: i3.8xlarge
BlockDeviceMappings:
- DeviceName: /dev/sda1
Ebs:
VolumeSize: 300
resources: { }
head_node_type: head
setup_commands:
- pip install -U ray ray[default] pyarrow pandas
head_start_ray_commands:
- ray start --head --port=6379 --object-manager-port=8076 --object-store-memory=90000000000 --autoscaling-config=~/ray_bootstrap_config.yaml
worker_start_ray_commands:
- ray start --address=$RAY_HEAD_IP:6379 --object-manager-port=8076 --object-store-memory=90000000000