| Column Name | Column Data Type |
|---|
compute_environments Input Column
A list of up to 100 compute environment names or full Amazon Resource Name (ARN) entries. | VARCHAR[] |
Show child fields- compute_environments[]
|
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT(
"type" VARCHAR,
"name" VARCHAR,
"account_id" VARCHAR,
"via_profile_name" VARCHAR,
"assumed_role_arn" VARCHAR,
"organization" STRUCT(
"account_name" VARCHAR,
"id" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[],
"master_account" STRUCT(
"id" VARCHAR,
"email" VARCHAR
),
"parents" STRUCT(
"type" VARCHAR,
"id" VARCHAR,
"name" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[]
)[]
)
) |
Show child fields- _aws_profile.account_id
The AWS account id - _aws_profile.assumed_role_arn
The ARN of the assumed role - _aws_profile.name
The unique name of the profile. - _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization - _aws_profile.organization.id
The organization id - _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address - _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent - _aws_profile.organization.parents[].name
The name of the parent - _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role' - _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
_aws_region Input Column
The AWS region to use. | VARCHAR |
compute_environment_arn
The Amazon Resource Name (ARN) of the compute environment. | VARCHAR |
compute_environment_name
The name of the compute environment. It can be up to 128 characters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), and underscores (_). | VARCHAR |
compute_resources
The compute resources defined for the compute environment. For more information, see Compute environments in the Batch User Guide. | STRUCT(
"type" VARCHAR,
"allocation_strategy" VARCHAR,
"minv_cpus" BIGINT,
"maxv_cpus" BIGINT,
"desiredv_cpus" BIGINT,
"instance_types" VARCHAR[],
"image_id" VARCHAR,
"subnets" VARCHAR[],
"security_group_ids" VARCHAR[],
"ec2_key_pair" VARCHAR,
"instance_role" VARCHAR,
"tags" MAP(VARCHAR, VARCHAR),
"placement_group" VARCHAR,
"bid_percentage" BIGINT,
"spot_iam_fleet_role" VARCHAR,
"launch_template" STRUCT(
"launch_template_id" VARCHAR,
"launch_template_name" VARCHAR,
"version" VARCHAR
),
"ec2_configuration" STRUCT(
"image_type" VARCHAR,
"image_id_override" VARCHAR,
"image_kubernetes_version" VARCHAR
)[]
) |
Show child fields- compute_resources.allocation_strategy
The allocation strategy to use for the compute resource if not enough instances of the best fitting instance type can be allocated. This might be because of availability of the instance type in the Region or Amazon EC2 service limits. For more information, see Allocation strategies in the Batch User Guide. This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it. - BEST_FIT (default)
-
Batch selects an instance type that best fits the needs of the jobs with a preference for the lowest-cost instance type. If additional instances of the selected instance type aren't available, Batch waits for the additional instances to be available. If there aren't enough instances available or the user is reaching Amazon EC2 service limits, additional jobs aren't run until the currently running jobs are completed. This allocation strategy keeps costs lower but can limit scaling. If you're using Spot Fleets with BEST_FIT, the Spot Fleet IAM Role must be specified. Compute resources that use a BEST_FIT allocation strategy don't support infrastructure updates and can't update some parameters. For more information, see Updating compute environments in the Batch User Guide. - BEST_FIT_PROGRESSIVE
-
Batch selects additional instance types that are large enough to meet the requirements of the jobs in the queue. Its preference is for instance types with lower cost vCPUs. If additional instances of the previously selected instance types aren't available, Batch selects new instance types. - SPOT_CAPACITY_OPTIMIZED
-
Batch selects one or more instance types that are large enough to meet the requirements of the jobs in the queue. Its preference is for instance types that are less likely to be interrupted. This allocation strategy is only available for Spot Instance compute resources. - SPOT_PRICE_CAPACITY_OPTIMIZED
-
The price and capacity optimized allocation strategy looks at both price and capacity to select the Spot Instance pools that are the least likely to be interrupted and have the lowest possible price. This allocation strategy is only available for Spot Instance compute resources. With BEST_FIT_PROGRESSIVE,SPOT_CAPACITY_OPTIMIZED and SPOT_PRICE_CAPACITY_OPTIMIZED (recommended) strategies using On-Demand or Spot Instances, and the BEST_FIT strategy using Spot Instances, Batch might need to exceed maxvCpus to meet your capacity requirements. In this event, Batch never exceeds maxvCpus by more than a single instance. - compute_resources.bid_percentage
The maximum percentage that a Spot Instance price can be when compared with the On-Demand price for that instance type before instances are launched. For example, if your maximum percentage is 20%, then the Spot price must be less than 20% of the current On-Demand price for that Amazon EC2 instance. You always pay the lowest (market) price and never more than your maximum percentage. If you leave this field empty, the default value is 100% of the On-Demand price. For most use cases, we recommend leaving this field empty. This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it. - compute_resources.desiredv_cpus
The desired number of vCPUS in the compute environment. Batch modifies this value between the minimum and maximum values based on job queue demand. This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it. - compute_resources.ec2_configuration[]
Show child fields- compute_resources.ec2_configuration[].image_id_override
The AMI ID used for instances launched in the compute environment that match the image type. This setting overrides the imageId set in the computeResource object. The AMI that you choose for a compute environment must match the architecture of the instance types that you intend to use for that compute environment. For example, if your compute environment uses A1 instance types, the compute resource AMI that you choose must support ARM instances. Amazon ECS vends both x86 and ARM versions of the Amazon ECS-optimized Amazon Linux 2 AMI. For more information, see Amazon ECS-optimized Amazon Linux 2 AMI in the Amazon Elastic Container Service Developer Guide. - compute_resources.ec2_configuration[].image_kubernetes_version
The Kubernetes version for the compute environment. If you don't specify a value, the latest version that Batch supports is used. - compute_resources.ec2_configuration[].image_type
The image type to match with the instance type to select an AMI. The supported values are different for ECS and EKS resources. - ECS
-
If the imageIdOverride parameter isn't specified, then a recent Amazon ECS-optimized Amazon Linux 2 AMI (ECS_AL2) is used. If a new image type is specified in an update, but neither an imageId nor a imageIdOverride parameter is specified, then the latest Amazon ECS optimized AMI for that image type that's supported by Batch is used. - ECS_AL2
-
Amazon Linux 2: Default for all non-GPU instance families. - ECS_AL2_NVIDIA
-
Amazon Linux 2 (GPU): Default for all GPU instance families (for example P4 and G4) and can be used for all non Amazon Web Services Graviton-based instance types. - ECS_AL2023
-
Amazon Linux 2023: Batch supports Amazon Linux 2023. Amazon Linux 2023 does not support A1 instances. - ECS_AL1
-
Amazon Linux. Amazon Linux has reached the end-of-life of standard support. For more information, see Amazon Linux AMI. - EKS
-
If the imageIdOverride parameter isn't specified, then a recent Amazon EKS-optimized Amazon Linux AMI (EKS_AL2) is used. If a new image type is specified in an update, but neither an imageId nor a imageIdOverride parameter is specified, then the latest Amazon EKS optimized AMI for that image type that Batch supports is used. - EKS_AL2
-
Amazon Linux 2: Default for all non-GPU instance families. - EKS_AL2_NVIDIA
-
Amazon Linux 2 (accelerated): Default for all GPU instance families (for example, P4 and G4) and can be used for all non Amazon Web Services Graviton-based instance types.
- compute_resources.ec2_key_pair
The Amazon EC2 key pair that's used for instances launched in the compute environment. You can use this key pair to log in to your instances with SSH. This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it. - compute_resources.image_id
The Amazon Machine Image (AMI) ID used for instances launched in the compute environment. This parameter is overridden by the imageIdOverride member of the Ec2Configuration structure. This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it. The AMI that you choose for a compute environment must match the architecture of the instance types that you intend to use for that compute environment. For example, if your compute environment uses A1 instance types, the compute resource AMI that you choose must support ARM instances. Amazon ECS vends both x86 and ARM versions of the Amazon ECS-optimized Amazon Linux 2 AMI. For more information, see Amazon ECS-optimized Amazon Linux 2 AMI in the Amazon Elastic Container Service Developer Guide. - compute_resources.instance_role
The Amazon ECS instance profile applied to Amazon EC2 instances in a compute environment. This parameter is required for Amazon EC2 instances types. You can specify the short name or full Amazon Resource Name (ARN) of an instance profile. For example, ecsInstanceRole or arn:aws:iam::<aws_account_id>:instance-profile/ecsInstanceRole . For more information, see Amazon ECS instance role in the Batch User Guide. This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it. - compute_resources.instance_types[]
- compute_resources.launch_template
The launch template to use for your compute resources. Any other compute resource parameters that you specify in a CreateComputeEnvironment API operation override the same parameters in the launch template. You must specify either the launch template ID or launch template name in the request, but not both. For more information, see Launch template support in the Batch User Guide. This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it. Show child fields- compute_resources.launch_template.launch_template_id
The ID of the launch template. - compute_resources.launch_template.launch_template_name
The name of the launch template. - compute_resources.launch_template.version
The version number of the launch template, $Latest, or $Default. If the value is $Latest, the latest version of the launch template is used. If the value is $Default, the default version of the launch template is used. If the AMI ID that's used in a compute environment is from the launch template, the AMI isn't changed when the compute environment is updated. It's only changed if the updateToLatestImageVersion parameter for the compute environment is set to true. During an infrastructure update, if either $Latest or $Default is specified, Batch re-evaluates the launch template version, and it might use a different version of the launch template. This is the case even if the launch template isn't specified in the update. When updating a compute environment, changing the launch template requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide. Default: $Default.
- compute_resources.maxv_cpus
The maximum number of vCPUs that a compute environment can support. With BEST_FIT_PROGRESSIVE,SPOT_CAPACITY_OPTIMIZED and SPOT_PRICE_CAPACITY_OPTIMIZED (recommended) strategies using On-Demand or Spot Instances, and the BEST_FIT strategy using Spot Instances, Batch might need to exceed maxvCpus to meet your capacity requirements. In this event, Batch never exceeds maxvCpus by more than a single instance. - compute_resources.minv_cpus
The minimum number of vCPUs that a compute environment should maintain (even if the compute environment is DISABLED). This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it. - compute_resources.placement_group
The Amazon EC2 placement group to associate with your compute resources. If you intend to submit multi-node parallel jobs to your compute environment, you should consider creating a cluster placement group and associate it with your compute resources. This keeps your multi-node parallel job on a logical grouping of instances within a single Availability Zone with high network flow potential. For more information, see Placement groups in the Amazon EC2 User Guide for Linux Instances. This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it. - compute_resources.security_group_ids[]
- compute_resources.spot_iam_fleet_role
The Amazon Resource Name (ARN) of the Amazon EC2 Spot Fleet IAM role applied to a SPOT compute environment. This role is required if the allocation strategy set to BEST_FIT or if the allocation strategy isn't specified. For more information, see Amazon EC2 spot fleet role in the Batch User Guide. This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it. To tag your Spot Instances on creation, the Spot Fleet IAM role specified here must use the newer AmazonEC2SpotFleetTaggingRole managed policy. The previously recommended AmazonEC2SpotFleetRole managed policy doesn't have the required permissions to tag Spot Instances. For more information, see Spot instances not tagged on creation in the Batch User Guide. - compute_resources.subnets[]
- compute_resources.tags
Key-value pair tags to be applied to Amazon EC2 resources that are launched in the compute environment. For Batch, these take the form of "String1": "String2", where String1 is the tag key and String2 is the tag value-for example, { "Name": "Batch Instance - C4OnDemand" }. This is helpful for recognizing your Batch instances in the Amazon EC2 console. Updating these tags requires an infrastructure update to the compute environment. For more information, see Updating compute environments in the Batch User Guide. These tags aren't seen when using the Batch ListTagsForResource API operation. This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it. - compute_resources.type
The type of compute environment: EC2, SPOT, FARGATE, or FARGATE_SPOT. For more information, see Compute environments in the Batch User Guide. If you choose SPOT, you must also specify an Amazon EC2 Spot Fleet role with the spotIamFleetRole parameter. For more information, see Amazon EC2 spot fleet role in the Batch User Guide.
|
container_orchestration_type
The orchestration type of the compute environment. The valid values are ECS (default) or EKS. | VARCHAR |
context
Reserved. | VARCHAR |
ecs_cluster_arn
The Amazon Resource Name (ARN) of the underlying Amazon ECS cluster that the compute environment uses. | VARCHAR |
eks_configuration
The configuration for the Amazon EKS cluster that supports the Batch compute environment. Only specify this parameter if the containerOrchestrationType is EKS. | STRUCT(
"eks_cluster_arn" VARCHAR,
"kubernetes_namespace" VARCHAR
) |
Show child fields- eks_configuration.eks_cluster_arn
The Amazon Resource Name (ARN) of the Amazon EKS cluster. An example is arn:aws:eks:us-east-1:123456789012:cluster/ClusterForBatch . - eks_configuration.kubernetes_namespace
The namespace of the Amazon EKS cluster. Batch manages pods in this namespace. The value can't left empty or null. It must be fewer than 64 characters long, can't be set to default, can't start with "kube-," and must match this regular expression: ^[a-z0-9]([-a-z0-9]*[a-z0-9])?$. For more information, see Namespaces in the Kubernetes documentation.
|
service_role
The service role that's associated with the compute environment that allows Batch to make calls to Amazon Web Services API operations on your behalf. For more information, see Batch service IAM role in the Batch User Guide. | VARCHAR |
state
The state of the compute environment. The valid values are ENABLED or DISABLED. If the state is ENABLED, then the Batch scheduler can attempt to place jobs from an associated job queue on the compute resources within the environment. If the compute environment is managed, then it can scale its instances out or in automatically based on the job queue demand. If the state is DISABLED, then the Batch scheduler doesn't attempt to place jobs within the environment. Jobs in a STARTING or RUNNING state continue to progress normally. Managed compute environments in the DISABLED state don't scale out. Compute environments in a DISABLED state may continue to incur billing charges. To prevent additional charges, turn off and then delete the compute environment. For more information, see State in the Batch User Guide. When an instance is idle, the instance scales down to the minvCpus value. However, the instance size doesn't change. For example, consider a c5.8xlarge instance with a minvCpus value of 4 and a desiredvCpus value of 36. This instance doesn't scale down to a c5.large instance. | VARCHAR |
status
The current status of the compute environment (for example, CREATING or VALID). | VARCHAR |
status_reason
A short, human-readable string to provide additional details for the current status of the compute environment. | VARCHAR |
tags
The tags applied to the compute environment. | MAP(VARCHAR, VARCHAR) |
type
The type of the compute environment: MANAGED or UNMANAGED. For more information, see Compute environments in the Batch User Guide. | VARCHAR |
unmanagedv_cpus
The maximum number of VCPUs expected to be used for an unmanaged compute environment. | BIGINT |
update_policy
Specifies the infrastructure update policy for the compute environment. For more information about infrastructure updates, see Updating compute environments in the Batch User Guide. | STRUCT(
"terminate_jobs_on_update" BOOLEAN,
"job_execution_timeout_minutes" BIGINT
) |
Show child fields- update_policy.job_execution_timeout_minutes
Specifies the job timeout (in minutes) when the compute environment infrastructure is updated. The default value is 30. - update_policy.terminate_jobs_on_update
Specifies whether jobs are automatically terminated when the computer environment infrastructure is updated. The default value is false.
|
uuid
Unique identifier for the compute environment. | VARCHAR |