aws_sdk_batch::types

Struct ComputeResourceUpdate

Source 
#[non_exhaustive]
pub struct ComputeResourceUpdate {
Show 17 fields
    pub minv_cpus: Option<i32>,
    pub maxv_cpus: Option<i32>,
    pub desiredv_cpus: Option<i32>,
    pub subnets: Option<Vec<String>>,
    pub security_group_ids: Option<Vec<String>>,
    pub allocation_strategy: Option<CrUpdateAllocationStrategy>,
    pub instance_types: 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 launch_template: Option<LaunchTemplateSpecification>,
    pub ec2_configuration: Option<Vec<Ec2Configuration>>,
    pub update_to_latest_image_version: Option<bool>,
    pub type: Option<CrType>,
    pub image_id: Option<String>,

}
Expand description

An object that represents the attributes of a compute environment that can be updated. For more information, see Updating 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.
§minv_cpus: Option<i32>

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

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.

Batch doesn't support changing the desired number of vCPUs of an existing compute environment. Don't specify this parameter for compute environments using Amazon EKS clusters.

When you update the desiredvCpus setting, the value must be between the minvCpus and maxvCpus values.

Additionally, the updated desiredvCpus value must be greater than or equal to the current desiredvCpus value. For more information, see Troubleshooting Batch in the Batch User Guide.

§subnets: Option<Vec<String>>

The VPC subnets where the compute resources are launched. Fargate compute resources can contain up to 16 subnets. For Fargate compute resources, providing an empty list will be handled as if this parameter wasn't specified and no change is made. For Amazon EC2 compute resources, providing an empty list removes the VPC subnets from the compute resource. For more information, see VPCs and subnets in the Amazon VPC User Guide.

When updating a compute environment, changing the VPC subnets requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch 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. This parameter is required for Fargate compute resources, where it can contain up to 5 security groups. For Fargate compute resources, providing an empty list is handled as if this parameter wasn't specified and no change is made. For Amazon EC2 compute resources, providing an empty list removes the security groups from the compute resource.

When updating a compute environment, changing the Amazon EC2 security groups requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

§allocation_strategy: Option<CrUpdateAllocationStrategy>

The allocation strategy to use for the compute resource if there's not enough instances of the best fitting instance type that 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.

When updating a compute environment, changing the allocation strategy requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide. BEST_FIT isn't supported when updating a compute environment.

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

§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.

When updating a compute environment, changing this setting requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

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.

§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. To remove the Amazon EC2 key pair, set this value to an empty string.

When updating a compute environment, changing the Amazon EC2 key pair requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

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. Required for Amazon EC2 instances. 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.

When updating a compute environment, changing this setting requires an infrastructure update of the compute environment. For more information, see Updating compute environments 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. These tags aren't seen when using the Batch ListTagsForResource API operation.

When updating a compute environment, changing this setting requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

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.

When updating a compute environment, changing the placement group requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

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%, 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. For most use cases, we recommend leaving this field empty.

When updating a compute environment, changing the bid percentage requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

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

§launch_template: Option<LaunchTemplateSpecification>

The updated launch template to use for your compute resources. 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. To remove the custom launch template and use the default launch template, set launchTemplateId or launchTemplateName member of the launch template specification to an empty string. Removing the launch template from a compute environment will not remove the AMI specified in the launch template. In order to update the AMI specified in a launch template, the updateToLatestImageVersion parameter must be set to true.

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.

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

§ec2_configuration: Option<Vec<Ec2Configuration>>

Provides information 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.

When updating a compute environment, changing this setting requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide. To remove the Amazon EC2 configuration and any custom AMI ID specified in imageIdOverride, set this value to an empty string.

One or two values can be provided.

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

§update_to_latest_image_version: Option<bool>

Specifies whether the AMI ID is updated to the latest one that's supported by Batch when the compute environment has an infrastructure update. The default value is false.

An AMI ID can either be specified in the imageId or imageIdOverride parameters or be determined by the launch template that's specified in the launchTemplate parameter. If an AMI ID is specified any of these ways, this parameter is ignored. For more information about to update AMI IDs during an infrastructure update, see Updating the AMI ID in the Batch User Guide.

When updating a compute environment, changing this setting requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

§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.

When updating a compute environment, changing the type of a compute environment requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

§image_id: Option<String>

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. To remove the custom AMI ID and use the default AMI ID, set this value to an empty string.

When updating a compute environment, changing the AMI ID requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

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.

Implementations§

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impl ComputeResourceUpdate

Source

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

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

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.

Batch doesn't support changing the desired number of vCPUs of an existing compute environment. Don't specify this parameter for compute environments using Amazon EKS clusters.

When you update the desiredvCpus setting, the value must be between the minvCpus and maxvCpus values.

Additionally, the updated desiredvCpus value must be greater than or equal to the current desiredvCpus value. For more information, see Troubleshooting Batch in the Batch User Guide.

Source

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

The VPC subnets where the compute resources are launched. Fargate compute resources can contain up to 16 subnets. For Fargate compute resources, providing an empty list will be handled as if this parameter wasn't specified and no change is made. For Amazon EC2 compute resources, providing an empty list removes the VPC subnets from the compute resource. For more information, see VPCs and subnets in the Amazon VPC User Guide.

When updating a compute environment, changing the VPC subnets requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch 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. This parameter is required for Fargate compute resources, where it can contain up to 5 security groups. For Fargate compute resources, providing an empty list is handled as if this parameter wasn't specified and no change is made. For Amazon EC2 compute resources, providing an empty list removes the security groups from the compute resource.

When updating a compute environment, changing the Amazon EC2 security groups requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

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 allocation_strategy(&self) -> Option<&CrUpdateAllocationStrategy>

The allocation strategy to use for the compute resource if there's not enough instances of the best fitting instance type that 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.

When updating a compute environment, changing the allocation strategy requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide. BEST_FIT isn't supported when updating a compute environment.

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

When updating a compute environment, changing this setting requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

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 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. To remove the Amazon EC2 key pair, set this value to an empty string.

When updating a compute environment, changing the Amazon EC2 key pair requires an infrastructure update of the compute environment. For more information, see Updating compute environments 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 instance_role(&self) -> Option<&str>

The Amazon ECS instance profile applied to Amazon EC2 instances in a compute environment. Required for Amazon EC2 instances. 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.

When updating a compute environment, changing this setting requires an infrastructure update of the compute environment. For more information, see Updating compute environments 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. These tags aren't seen when using the Batch ListTagsForResource API operation.

When updating a compute environment, changing this setting requires an infrastructure update of the compute environment. For more information, see Updating compute environments 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 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.

When updating a compute environment, changing the placement group requires an infrastructure update of the compute environment. For more information, see Updating compute environments 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 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%, 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. For most use cases, we recommend leaving this field empty.

When updating a compute environment, changing the bid percentage requires an infrastructure update of the compute environment. For more information, see Updating compute environments 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 launch_template(&self) -> Option<&LaunchTemplateSpecification>

The updated launch template to use for your compute resources. 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. To remove the custom launch template and use the default launch template, set launchTemplateId or launchTemplateName member of the launch template specification to an empty string. Removing the launch template from a compute environment will not remove the AMI specified in the launch template. In order to update the AMI specified in a launch template, the updateToLatestImageVersion parameter must be set to true.

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.

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 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.

When updating a compute environment, changing this setting requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide. To remove the Amazon EC2 configuration and any custom AMI ID specified in imageIdOverride, set this value to an empty string.

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

pub fn update_to_latest_image_version(&self) -> Option<bool>

Specifies whether the AMI ID is updated to the latest one that's supported by Batch when the compute environment has an infrastructure update. The default value is false.

An AMI ID can either be specified in the imageId or imageIdOverride parameters or be determined by the launch template that's specified in the launchTemplate parameter. If an AMI ID is specified any of these ways, this parameter is ignored. For more information about to update AMI IDs during an infrastructure update, see Updating the AMI ID in the Batch User Guide.

When updating a compute environment, changing this setting requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

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.

When updating a compute environment, changing the type of a compute environment requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

Source

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

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. To remove the custom AMI ID and use the default AMI ID, set this value to an empty string.

When updating a compute environment, changing the AMI ID requires an infrastructure update of the compute environment. For more information, see Updating compute environments in the Batch User Guide.

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.

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impl ComputeResourceUpdate

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pub fn builder() -> ComputeResourceUpdateBuilder

Creates a new builder-style object to manufacture ComputeResourceUpdate.

Trait Implementations§

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impl Clone for ComputeResourceUpdate

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fn clone(&self) -> ComputeResourceUpdate

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 ComputeResourceUpdate

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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 ComputeResourceUpdate

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fn eq(&self, other: &ComputeResourceUpdate) -> 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 ComputeResourceUpdate

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use yansi::{Paint, Color};

painted.fg(Color::White);

Set foreground color to white using white().

use yansi::Paint;

painted.white();
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fn primary(&self) -> Painted<&T>

Returns self with the fg() set to [Color :: Primary].

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println!("{}", value.primary());
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fn fixed(&self, color: u8) -> Painted<&T>

Returns self with the fg() set to [Color :: Fixed].

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println!("{}", value.fixed(color));
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fn rgb(&self, r: u8, g: u8, b: u8) -> Painted<&T>

Returns self with the fg() set to [Color :: Rgb].

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println!("{}", value.rgb(r, g, b));
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fn black(&self) -> Painted<&T>

Returns self with the fg() set to [Color :: Black].

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println!("{}", value.black());
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fn red(&self) -> Painted<&T>

Returns self with the fg() set to [Color :: Red].

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println!("{}", value.red());
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fn green(&self) -> Painted<&T>

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

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println!("{}", value.green());
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fn yellow(&self) -> Painted<&T>

Returns self with the fg() set to [Color :: Yellow].

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println!("{}", value.yellow());
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fn blue(&self) -> Painted<&T>

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

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println!("{}", value.blue());
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fn magenta(&self) -> Painted<&T>

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

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println!("{}", value.magenta());
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fn cyan(&self) -> Painted<&T>

Returns self with the fg() set to [Color :: Cyan].

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println!("{}", value.cyan());
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fn white(&self) -> Painted<&T>

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

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println!("{}", value.white());
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fn bright_black(&self) -> Painted<&T>

Returns self with the fg() set to [Color :: BrightBlack].

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println!("{}", value.bright_black());
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fn bright_red(&self) -> Painted<&T>

Returns self with the fg() set to [Color :: BrightRed].

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println!("{}", value.bright_red());
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fn bright_green(&self) -> Painted<&T>

Returns self with the fg() set to [Color :: BrightGreen].

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println!("{}", value.bright_green());
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fn bright_yellow(&self) -> Painted<&T>

Returns self with the fg() set to [Color :: BrightYellow].

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println!("{}", value.bright_yellow());
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fn bright_blue(&self) -> Painted<&T>

Returns self with the fg() set to [Color :: BrightBlue].

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println!("{}", value.bright_blue());
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fn bright_magenta(&self) -> Painted<&T>

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

§Example
println!("{}", value.bright_magenta());
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fn bright_cyan(&self) -> Painted<&T>

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

§Example
println!("{}", value.bright_cyan());
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fn bright_white(&self) -> Painted<&T>

Returns self with the fg() set to [Color :: BrightWhite].

§Example
println!("{}", value.bright_white());
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fn bg(&self, value: Color) -> Painted<&T>

Returns a styled value derived from self with the background set to value.

This method should be used rarely. Instead, prefer to use color-specific builder methods like on_red() and on_green(), which have the same functionality but are pithier.

§Example

Set background color to red using fg():

use yansi::{Paint, Color};

painted.bg(Color::Red);

Set background color to red using on_red().

use yansi::Paint;

painted.on_red();
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fn on_primary(&self) -> Painted<&T>

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

§Example
println!("{}", value.on_primary());
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fn on_fixed(&self, color: u8) -> Painted<&T>

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

§Example
println!("{}", value.on_fixed(color));
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fn on_rgb(&self, r: u8, g: u8, b: u8) -> Painted<&T>

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

§Example
println!("{}", value.on_rgb(r, g, b));
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fn on_black(&self) -> Painted<&T>

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

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println!("{}", value.on_black());
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fn on_red(&self) -> Painted<&T>

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

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println!("{}", value.on_red());
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fn on_green(&self) -> Painted<&T>

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

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println!("{}", value.on_green());
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fn on_yellow(&self) -> Painted<&T>

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

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println!("{}", value.on_yellow());
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fn on_blue(&self) -> Painted<&T>

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

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println!("{}", value.on_blue());
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fn on_magenta(&self) -> Painted<&T>

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

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println!("{}", value.on_magenta());
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fn on_cyan(&self) -> Painted<&T>

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

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println!("{}", value.on_cyan());
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fn on_white(&self) -> Painted<&T>

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

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println!("{}", value.on_white());
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fn on_bright_black(&self) -> Painted<&T>

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

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println!("{}", value.on_bright_black());
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fn on_bright_red(&self) -> Painted<&T>

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

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println!("{}", value.on_bright_red());
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fn on_bright_green(&self) -> Painted<&T>

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

§Example
println!("{}", value.on_bright_green());
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fn on_bright_yellow(&self) -> Painted<&T>

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

§Example
println!("{}", value.on_bright_yellow());
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fn on_bright_blue(&self) -> Painted<&T>

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

§Example
println!("{}", value.on_bright_blue());
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fn on_bright_magenta(&self) -> Painted<&T>

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

§Example
println!("{}", value.on_bright_magenta());
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fn on_bright_cyan(&self) -> Painted<&T>

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

§Example
println!("{}", value.on_bright_cyan());
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fn on_bright_white(&self) -> Painted<&T>

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

§Example
println!("{}", value.on_bright_white());
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fn attr(&self, value: Attribute) -> Painted<&T>

Enables the styling Attribute value.

This method should be used rarely. Instead, prefer to use attribute-specific builder methods like bold() and underline(), which have the same functionality but are pithier.

§Example

Make text bold using attr():

use yansi::{Paint, Attribute};

painted.attr(Attribute::Bold);

Make text bold using using bold().

use yansi::Paint;

painted.bold();
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fn bold(&self) -> Painted<&T>

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

§Example
println!("{}", value.bold());
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fn dim(&self) -> Painted<&T>

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

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println!("{}", value.dim());
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fn italic(&self) -> Painted<&T>

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

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println!("{}", value.italic());
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fn underline(&self) -> Painted<&T>

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

§Example
println!("{}", value.underline());

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

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println!("{}", value.blink());

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

§Example
println!("{}", value.rapid_blink());
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fn invert(&self) -> Painted<&T>

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

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println!("{}", value.invert());
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fn conceal(&self) -> Painted<&T>

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

§Example
println!("{}", value.conceal());
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fn strike(&self) -> Painted<&T>

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

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println!("{}", value.strike());
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fn quirk(&self, value: Quirk) -> Painted<&T>

Enables the yansi Quirk value.

This method should be used rarely. Instead, prefer to use quirk-specific builder methods like mask() and wrap(), which have the same functionality but are pithier.

§Example

Enable wrapping using .quirk():

use yansi::{Paint, Quirk};

painted.quirk(Quirk::Wrap);

Enable wrapping using wrap().

use yansi::Paint;

painted.wrap();
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fn mask(&self) -> Painted<&T>

Returns self with the quirk() set to [Quirk :: Mask].

§Example
println!("{}", value.mask());
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fn wrap(&self) -> Painted<&T>

Returns self with the quirk() set to [Quirk :: Wrap].

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println!("{}", value.wrap());
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fn linger(&self) -> Painted<&T>

Returns self with the quirk() set to [Quirk :: Linger].

§Example
println!("{}", value.linger());
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fn clear(&self) -> Painted<&T>

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

Returns self with the quirk() set to [Quirk :: Clear].

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println!("{}", value.clear());
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fn resetting(&self) -> Painted<&T>

Returns self with the quirk() set to [Quirk :: Resetting].

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println!("{}", value.resetting());
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fn bright(&self) -> Painted<&T>

Returns self with the quirk() set to [Quirk :: Bright].

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println!("{}", value.bright());
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fn on_bright(&self) -> Painted<&T>

Returns self with the quirk() set to [Quirk :: OnBright].

§Example
println!("{}", value.on_bright());
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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.

See the crate level docs for more details.

§Example

Enable styling painted only when both stdout and stderr are TTYs:

use yansi::{Paint, Condition};

painted.red().on_yellow().whenever(Condition::STDOUTERR_ARE_TTY);
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fn new(self) -> Painted<Self>
where Self: Sized,

Create a new Painted with a default Style. Read more
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fn paint<S>(&self, style: S) -> Painted<&Self>
where S: Into<Style>,

Apply a style wholesale to self. Any previous style is replaced. Read more
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impl<T> Same for T

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type Output = T

Should always be Self
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impl<T> ToOwned for T
where T: Clone,

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type Owned = T

The resulting type after obtaining ownership.
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fn to_owned(&self) -> T

Creates owned data from borrowed data, usually by cloning. Read more
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fn clone_into(&self, target: &mut T)

Uses borrowed data to replace owned data, usually by cloning. Read more
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impl<T, U> TryFrom<U> for T
where U: Into<T>,

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type Error = Infallible

The type returned in the event of a conversion error.
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fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

Performs the conversion.
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impl<T, U> TryInto<U> for T
where U: TryFrom<T>,

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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

Performs the conversion.
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impl<T> WithSubscriber for T

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fn with_subscriber<S>(self, subscriber: S) -> WithDispatch<Self>
where S: Into<Dispatch>,

Attaches the provided Subscriber to this type, returning a WithDispatch wrapper. Read more
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fn with_current_subscriber(self) -> WithDispatch<Self>

Attaches the current default Subscriber to this type, returning a WithDispatch wrapper. Read more
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impl<T> ErasedDestructor for T
where T: 'static,