Batch / Paginator / DescribeServiceEnvironments
DescribeServiceEnvironments¶
- class Batch.Paginator.DescribeServiceEnvironments¶
paginator = client.get_paginator('describe_service_environments')
- paginate(**kwargs)¶
Creates an iterator that will paginate through responses from
Batch.Client.describe_service_environments()
.See also: AWS API Documentation
Request Syntax
response_iterator = paginator.paginate( serviceEnvironments=[ 'string', ], PaginationConfig={ 'MaxItems': 123, 'PageSize': 123, 'StartingToken': 'string' } )
- Parameters:
serviceEnvironments (list) –
An array of service environment names or ARN entries.
(string) –
PaginationConfig (dict) –
A dictionary that provides parameters to control pagination.
MaxItems (integer) –
The total number of items to return. If the total number of items available is more than the value specified in max-items then a
NextToken
will be provided in the output that you can use to resume pagination.PageSize (integer) –
The size of each page.
StartingToken (string) –
A token to specify where to start paginating. This is the
NextToken
from a previous response.
- Return type:
dict
- Returns:
Response Syntax
{ 'serviceEnvironments': [ { 'serviceEnvironmentName': 'string', 'serviceEnvironmentArn': 'string', 'serviceEnvironmentType': 'SAGEMAKER_TRAINING', 'state': 'ENABLED'|'DISABLED', 'status': 'CREATING'|'UPDATING'|'DELETING'|'DELETED'|'VALID'|'INVALID', 'capacityLimits': [ { 'maxCapacity': 123, 'capacityUnit': 'string' }, ], 'tags': { 'string': 'string' } }, ], 'NextToken': 'string' }
Response Structure
(dict) –
serviceEnvironments (list) –
The list of service environments that match the request.
(dict) –
Detailed information about a service environment, including its configuration, state, and capacity limits.
serviceEnvironmentName (string) –
The name of the service environment.
serviceEnvironmentArn (string) –
The Amazon Resource Name (ARN) of the service environment.
serviceEnvironmentType (string) –
The type of service environment. For SageMaker Training jobs, this value is
SAGEMAKER_TRAINING
.state (string) –
The state of the service environment. Valid values are
ENABLED
andDISABLED
.status (string) –
The current status of the service environment.
capacityLimits (list) –
The capacity limits for the service environment. This defines the maximum resources that can be used by service jobs in this environment.
(dict) –
Defines the capacity limit for a service environment. This structure specifies the maximum amount of resources that can be used by service jobs in the environment.
maxCapacity (integer) –
The maximum capacity available for the service environment. This value represents the maximum amount of resources that can be allocated to service jobs.
For example,
maxCapacity=50
,capacityUnit=NUM_INSTANCES
. This indicates that the maximum number of instances that can be run on this service environment is 50. You could then run 5 SageMaker Training jobs that each use 10 instances. However, if you submit another job that requires 10 instances, it will wait in the queue.capacityUnit (string) –
The unit of measure for the capacity limit. This defines how the maxCapacity value should be interpreted. For
SAGEMAKER_TRAINING
jobs, useNUM_INSTANCES
.
tags (dict) –
The tags associated with the service environment. Each tag consists of a key and an optional value. For more information, see Tagging your Batch resources.
(string) –
(string) –
NextToken (string) –
A token to resume pagination.