Struct ComputeResource 

pub struct ComputeResource {

    pub allocation_strategy: Option<String>,
    pub bid_percentage: Option<i64>,
    pub desiredv_cpus: Option<i64>,
    pub ec_2_key_pair: Option<String>,
    pub image_id: Option<String>,
    pub instance_role: String,
    pub instance_types: Vec<String>,
    pub launch_template: Option<LaunchTemplateSpecification>,
    pub maxv_cpus: i64,
    pub minv_cpus: i64,
    pub placement_group: Option<String>,
    pub security_group_ids: Option<Vec<String>>,
    pub spot_iam_fleet_role: Option<String>,
    pub subnets: Vec<String>,
    pub tags: Option<HashMap<String, String>>,
    pub type_: String,
}

An object representing an AWS Batch compute resource.

Fields

allocation_strategy: Option<String>

The allocation strategy to use for the compute resource in case not enough instances of the best fitting instance type can be allocated. This could be due to availability of the instance type in the region or Amazon EC2 service limits. If this is not specified, the default is BEST_FIT, which will use only the best fitting instance type, waiting for additional capacity if it's not available. This allocation strategy keeps costs lower but can limit scaling. If you are using Spot Fleets with BEST_FIT then the Spot Fleet IAM Role must be specified. BEST_FIT_PROGRESSIVE will select additional instance types that are large enough to meet the requirements of the jobs in the queue, with a preference for instance types with a lower cost per vCPU. SPOT_CAPACITY_OPTIMIZED is only available for Spot Instance compute resources and will select additional instance types that are large enough to meet the requirements of the jobs in the queue, with a preference for instance types that are less likely to be interrupted. For more information, see Allocation Strategies in the AWS Batch User Guide.

bid_percentage: Option<i64>

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 below 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.

desiredv_cpus: Option<i64>

The desired number of Amazon EC2 vCPUS in the compute environment.

ec_2_key_pair: Option<String>

The Amazon EC2 key pair that is used for instances launched in the compute environment.

image_id: Option<String>

The Amazon Machine Image (AMI) ID used for instances launched in the compute environment.

instance_role: String

The Amazon ECS instance profile applied to Amazon EC2 instances in a compute environment. 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 AWS Batch User Guide.

instance_types: Vec<String>

The instances types that may 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 pick instance types (from the C, M, and R instance families) on the fly that match the demand of your job queues.

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 AWS Batch User Guide.

maxv_cpus: i64

The maximum number of Amazon EC2 vCPUs that an environment can reach.

minv_cpus: i64

The minimum number of Amazon EC2 vCPUs that an environment should maintain (even if the compute environment is DISABLED).

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.

security_group_ids: Option<Vec<String>>

The Amazon EC2 security groups 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. If security groups are specified using both securityGroupIds and launchTemplate, the values in securityGroupIds will be used.

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 is not specified. For more information, see Amazon EC2 Spot Fleet Role in the AWS Batch User Guide.

subnets: Vec<String>

The VPC subnets into which the compute resources are launched. For more information, see VPCs and Subnets in the Amazon VPC User Guide.

tags: Option<HashMap<String, String>>

Key-value pair tags to be applied to resources that are launched in the compute environment. For AWS Batch, these take the form of "String1": "String2", where String1 is the tag key and String2 is the tag value—for example, { "Name": "AWS Batch Instance - C4OnDemand" }.

type_: String

The type of compute environment: EC2 or SPOT.

Trait Implementations

impl Clone for ComputeResource

fn clone(&self) -> ComputeResource

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ComputeResource

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

Formats the value using the given formatter.

impl Default for ComputeResource

fn default() -> ComputeResource

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for ComputeResource

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for ComputeResource

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl Serialize for ComputeResource

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for ComputeResource