aws_sdk_batch::types

Struct ComputeResource

Source 
#[non_exhaustive]
pub struct ComputeResource {
Show 17 fields
    pub type: Option<CrType>,
    pub allocation_strategy: Option<CrAllocationStrategy>,
    pub minv_cpus: Option<i32>,
    pub maxv_cpus: Option<i32>,
    pub desiredv_cpus: Option<i32>,
    pub instance_types: Option<Vec<String>>,
    pub image_id: Option<String>,
    pub subnets: Option<Vec<String>>,
    pub security_group_ids: Option<Vec<String>>,
    pub ec2_key_pair: Option<String>,
    pub instance_role: Option<String>,
    pub tags: Option<HashMap<String, String>>,
    pub placement_group: Option<String>,
    pub bid_percentage: Option<i32>,
    pub spot_iam_fleet_role: Option<String>,
    pub launch_template: Option<LaunchTemplateSpecification>,
    pub ec2_configuration: Option<Vec<Ec2Configuration>>,

}
Expand description

An object that represents an Batch compute resource. For more information, see Compute environments in the Batch User Guide.

Fields (Non-exhaustive)§

This struct is marked as non-exhaustive
Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.
§type: Option<CrType>

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.

§allocation_strategy: Option<CrAllocationStrategy>

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.

§minv_cpus: Option<i32>

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.

§maxv_cpus: Option<i32>

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.

§desiredv_cpus: Option<i32>

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.

§instance_types: Option<Vec<String>>

The instances types that can be launched. You can specify instance families to launch any instance type within those families (for example, c5 or p3), or you can specify specific sizes within a family (such as c5.8xlarge). You can also choose optimal to select instance types (from the C4, M4, and R4 instance families) that match the demand of your job queues.

This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it.

When you create a compute environment, the instance types that you select for the compute environment must share the same architecture. For example, you can't mix x86 and ARM instances in the same compute environment.

Currently, optimal uses instance types from the C4, M4, and R4 instance families. In Regions that don't have instance types from those instance families, instance types from the C5, M5, and R5 instance families are used.

§image_id: Option<String>
👎Deprecated: This field is deprecated, use ec2Configuration[].imageIdOverride instead.

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.

§subnets: Option<Vec<String>>

The VPC subnets where the compute resources are launched. These subnets must be within the same VPC. Fargate compute resources can contain up to 16 subnets. For more information, see VPCs and subnets in the Amazon VPC User Guide.

Batch on Amazon EC2 and Batch on Amazon EKS support Local Zones. For more information, see Local Zones in the Amazon EC2 User Guide for Linux Instances, Amazon EKS and Amazon Web Services Local Zones in the Amazon EKS User Guide and Amazon ECS clusters in Local Zones, Wavelength Zones, and Amazon Web Services Outposts in the Amazon ECS Developer Guide.

Batch on Fargate doesn't currently support Local Zones.

§security_group_ids: Option<Vec<String>>

The Amazon EC2 security groups that are associated with instances launched in the compute environment. One or more security groups must be specified, either in securityGroupIds or using a launch template referenced in launchTemplate. This parameter is required for jobs that are running on Fargate resources and must contain at least one security group. Fargate doesn't support launch templates. If security groups are specified using both securityGroupIds and launchTemplate, the values in securityGroupIds are used.

§ec2_key_pair: Option<String>

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.

§instance_role: Option<String>

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:::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.

§tags: Option<HashMap<String, String>>

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.

§placement_group: Option<String>

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.

§bid_percentage: Option<i32>

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.

§spot_iam_fleet_role: Option<String>

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.

§launch_template: Option<LaunchTemplateSpecification>

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.

§ec2_configuration: Option<Vec<Ec2Configuration>>

Provides information that's used to select Amazon Machine Images (AMIs) for Amazon EC2 instances in the compute environment. If Ec2Configuration isn't specified, the default is ECS_AL2.

One or two values can be provided.

This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it.

Implementations§

Source§

impl ComputeResource

Source

pub fn type(&self) -> Option<&CrType>

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.

Source

pub fn allocation_strategy(&self) -> Option<&CrAllocationStrategy>

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.

Source

pub fn minv_cpus(&self) -> Option<i32>

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.

Source

pub fn maxv_cpus(&self) -> Option<i32>

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.

Source

pub fn desiredv_cpus(&self) -> Option<i32>

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.

Source

pub fn instance_types(&self) -> &[String]

The instances types that can be launched. You can specify instance families to launch any instance type within those families (for example, c5 or p3), or you can specify specific sizes within a family (such as c5.8xlarge). You can also choose optimal to select instance types (from the C4, M4, and R4 instance families) that match the demand of your job queues.

This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it.

When you create a compute environment, the instance types that you select for the compute environment must share the same architecture. For example, you can't mix x86 and ARM instances in the same compute environment.

Currently, optimal uses instance types from the C4, M4, and R4 instance families. In Regions that don't have instance types from those instance families, instance types from the C5, M5, and R5 instance families are used.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .instance_types.is_none().

Source

pub fn image_id(&self) -> Option<&str>

👎Deprecated: This field is deprecated, use ec2Configuration[].imageIdOverride instead.

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.

Source

pub fn subnets(&self) -> &[String]

The VPC subnets where the compute resources are launched. These subnets must be within the same VPC. Fargate compute resources can contain up to 16 subnets. For more information, see VPCs and subnets in the Amazon VPC User Guide.

Batch on Amazon EC2 and Batch on Amazon EKS support Local Zones. For more information, see Local Zones in the Amazon EC2 User Guide for Linux Instances, Amazon EKS and Amazon Web Services Local Zones in the Amazon EKS User Guide and Amazon ECS clusters in Local Zones, Wavelength Zones, and Amazon Web Services Outposts in the Amazon ECS Developer Guide.

Batch on Fargate doesn't currently support Local Zones.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .subnets.is_none().

Source

pub fn security_group_ids(&self) -> &[String]

The Amazon EC2 security groups that are associated with instances launched in the compute environment. One or more security groups must be specified, either in securityGroupIds or using a launch template referenced in launchTemplate. This parameter is required for jobs that are running on Fargate resources and must contain at least one security group. Fargate doesn't support launch templates. If security groups are specified using both securityGroupIds and launchTemplate, the values in securityGroupIds are used.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .security_group_ids.is_none().

Source

pub fn ec2_key_pair(&self) -> Option<&str>

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.

Source

pub fn instance_role(&self) -> Option<&str>

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:::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.

Source

pub fn tags(&self) -> Option<&HashMap<String, String>>

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.

Source

pub fn placement_group(&self) -> Option<&str>

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.

Source

pub fn bid_percentage(&self) -> Option<i32>

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.

Source

pub fn spot_iam_fleet_role(&self) -> Option<&str>

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.

Source

pub fn launch_template(&self) -> Option<&LaunchTemplateSpecification>

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.

Source

pub fn ec2_configuration(&self) -> &[Ec2Configuration]

Provides information that's used to select Amazon Machine Images (AMIs) for Amazon EC2 instances in the compute environment. If Ec2Configuration isn't specified, the default is ECS_AL2.

One or two values can be provided.

This parameter isn't applicable to jobs that are running on Fargate resources. Don't specify it.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .ec2_configuration.is_none().

Source§

impl ComputeResource

Source

pub fn builder() -> ComputeResourceBuilder

Creates a new builder-style object to manufacture ComputeResource.

Trait Implementations§

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impl Clone for ComputeResource

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fn clone(&self) -> ComputeResource

Returns a duplicate of the value. Read more
1.0.0 · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for ComputeResource

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl PartialEq for ComputeResource

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fn eq(&self, other: &ComputeResource) -> bool

Tests for self and other values to be equal, and is used by ==.
1.0.0 · Source§

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for ComputeResource

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Returns self with the bg() set to [Color :: Green].

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Returns self with the bg() set to [Color :: Blue].

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Returns self with the bg() set to [Color :: Magenta].

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Returns self with the bg() set to [Color :: White].

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Returns self with the bg() set to [Color :: BrightMagenta].

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Returns self with the bg() set to [Color :: BrightCyan].

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Enables the styling Attribute value.

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Returns self with the attr() set to [Attribute :: Dim].

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Enables the yansi Quirk value.

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👎Deprecated since 1.0.1: renamed to resetting() due to conflicts with Vec::clear(). The clear() method will be removed in a future release.

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fn whenever(&self, value: Condition) -> Painted<&T>

Conditionally enable styling based on whether the Condition value applies. Replaces any previous condition.

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