GetResource-阿里云帮助中心

Queries the information about a Lingjun cluster, including resource usage, machine type, and node details.

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RAM authorization

The table below describes the authorization required to call this API. You can define it in a Resource Access Management (RAM) policy. The table's columns are detailed below:

Action: The actions can be used in the Action element of RAM permission policy statements to grant permissions to perform the operation.
API: The API that you can call to perform the action.
Access level: The predefined level of access granted for each API. Valid values: create, list, get, update, and delete.
Resource type: The type of the resource that supports authorization to perform the action. It indicates if the action supports resource-level permission. The specified resource must be compatible with the action. Otherwise, the policy will be ineffective.
- For APIs with resource-level permissions, required resource types are marked with an asterisk (*). Specify the corresponding Alibaba Cloud Resource Name (ARN) in the Resource element of the policy.
- For APIs without resource-level permissions, it is shown as All Resources. Use an asterisk (*) in the Resource element of the policy.
Condition key: The condition keys defined by the service. The key allows for granular control, applying to either actions alone or actions associated with specific resources. In addition to service-specific condition keys, Alibaba Cloud provides a set of common condition keys applicable across all RAM-supported services.
Dependent action: The dependent actions required to run the action. To complete the action, the RAM user or the RAM role must have the permissions to perform all dependent actions.

Action

Access level

Resource type

Condition key

Dependent action

eflo:GetResource

get

*Resource

acs:eflo:{#regionId}:{#accountId}:resource/{#ClusterId}

None

Request parameters

Parameter	Type	Required	Description	Example
ClusterId	string	Yes	The Lingjun cluster ID.	ehpc-bj-uo8f26cpmo

Response elements

Element	Type	Description	Example
	object	The response body.
Data	object	The cluster details.
ResourceId	integer	The cluster ID.	189
ClusterId	string	The cluster ID.	3123121223
ClusterName	string	The cluster name.	main_cluster
ClusterDesc	string	The cluster description.	test
CpuCoreLimit	integer	The CPU limit of the cluster.	90
GpuLimit	integer	The GPU limit of the cluster.	8
MemoryLimit	integer	The memory limit of the cluster.	500
MaxGpu	integer	The maximum number of GPUs.	8
MaxCpuCore	integer	The maximum number of CPU cores.	90
MaxMemory	integer	The maximum memory size.	500
UserAccessParam	object	The user authorization parameters.
AccessId	string	The user ID.	dev
AccessKey	string	The user key.	test
WorkspaceId	string	The workspace ID.	test
Endpoint	string	The endpoint URL.	test
MachineType	object	The machine type information.
MemoryInfo	string	The memory specifications.	32x 64GB DDR4 4800 Memory
Type	string	The machine type.	Private
BondNum	integer	The number of network bonds.	5
NodeCount	integer	The number of nodes.	1
CpuInfo	string	The CPU specifications.	2x Intel Saphhire Rapid 8469C 48C CPU
NetworkInfo	string	The network specifications.	1x 200Gbps Dual Port BF3 DPU for VPC\n4x 200Gbps Dual Port EIC
GpuInfo	string	The GPU specifications.	8x OAM 810 GPU
DiskInfo	string	The disk specifications.	2x 480GB SATA SSD\n4x 3.84TB NVMe SSD
NetworkMode	string	The network mode.	2
Name	string	The specification name.	efg2.p8en
ResourceNodes	array<object>	The list of resource nodes.
	object
NodeName	string	The node name.	lingj19q90jp66nq-mg2pa0p2l2bipnsi-17
RequestId	string	The request ID.	25859897-35C8-5015-8365-7A3CE52F4854
AccessDeniedDetail	string	The access denied details.	{}
TotalCount	integer	The total number of entries returned.	0

Examples

Success response

JSON format

{
  "Data": {
    "ResourceId": 189,
    "ClusterId": "3123121223",
    "ClusterName": "main_cluster",
    "ClusterDesc": "test",
    "CpuCoreLimit": 90,
    "GpuLimit": 8,
    "MemoryLimit": 500,
    "MaxGpu": 8,
    "MaxCpuCore": 90,
    "MaxMemory": 500,
    "UserAccessParam": {
      "AccessId": "dev",
      "AccessKey": "test",
      "WorkspaceId": "test",
      "Endpoint": "test"
    },
    "MachineType": {
      "MemoryInfo": "32x 64GB DDR4 4800 Memory",
      "Type": "Private",
      "BondNum": 5,
      "NodeCount": 1,
      "CpuInfo": "2x Intel Saphhire Rapid 8469C 48C CPU",
      "NetworkInfo": "1x 200Gbps Dual Port BF3 DPU for VPC\\n4x 200Gbps Dual Port EIC",
      "GpuInfo": "8x OAM 810 GPU",
      "DiskInfo": "2x 480GB SATA SSD\\n4x 3.84TB NVMe SSD",
      "NetworkMode": "2",
      "Name": "efg2.p8en"
    },
    "ResourceNodes": [
      {
        "NodeName": "lingj19q90jp66nq-mg2pa0p2l2bipnsi-17"
      }
    ]
  },
  "RequestId": "25859897-35C8-5015-8365-7A3CE52F4854",
  "AccessDeniedDetail": "{}",
  "TotalCount": 0
}

Error codes

HTTP status code	Error code	Error message	Description
400	NotFound	not found.	Data does not exist

See Error Codes for a complete list.

Release notes

See Release Notes for a complete list.