com.amazonaws.services.batch.model

Class ResourceRequirement

java.lang.Object

com.amazonaws.services.batch.model.ResourceRequirement

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class ResourceRequirement
extends Object
implements Serializable, Cloneable, StructuredPojo

The type and amount of a resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors

Constructor and Description
ResourceRequirement()

Method Summary

Modifier and Type	Method and Description
ResourceRequirement	clone()
boolean	equals(Object obj)
String	getType() The type of resource to assign to a container.
String	getValue() The quantity of the specified resource to reserve for the container.
int	hashCode()
void	marshall(ProtocolMarshaller protocolMarshaller)
void	setType(String type) The type of resource to assign to a container.
void	setValue(String value) The quantity of the specified resource to reserve for the container.
String	toString() Returns a string representation of this object.
ResourceRequirement	withType(ResourceType type) The type of resource to assign to a container.
ResourceRequirement	withType(String type) The type of resource to assign to a container.
ResourceRequirement	withValue(String value) The quantity of the specified resource to reserve for the container.

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

ResourceRequirement

public ResourceRequirement()

Method Detail

setValue

public void setValue(String value)

The quantity of the specified resource to reserve for the container. The values vary based on the type specified.

type="GPU"

The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job shouldn't exceed the number of available GPUs on the compute resource that the job is launched on.

GPUs are not available for jobs running on Fargate resources.

type="MEMORY"

The memory hard limit (in MiB) present to the container. This parameter is supported for jobs running on EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run. You must specify at least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run.

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory Management in the AWS Batch User Guide.

For jobs running on Fargate resources, then value is the hard limit (in MiB), and must match one of the supported values and the VCPU values must be one of the values supported for that memory value.

value = 512

VCPU = 0.25

value = 1024

VCPU = 0.25 or 0.5

value = 2048

VCPU = 0.25, 0.5, or 1

value = 3072

VCPU = 0.5, or 1

value = 4096

VCPU = 0.5, 1, or 2

value = 5120, 6144, or 7168

VCPU = 1 or 2

value = 8192

VCPU = 1, 2, or 4

value = 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

VCPU = 2 or 4

value = 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

VCPU = 4

type="VCPU"

The number of vCPUs reserved for the container. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run. Each vCPU is equivalent to 1,024 CPU shares. For EC2 resources, you must specify at least one vCPU. This is required but can be specified in several places; it must be specified for each node at least once.

For jobs running on Fargate resources, then value must match one of the supported values and the MEMORY values must be one of the values supported for that VCPU value. The supported values are 0.25, 0.5, 1, 2, and 4

value = 0.25

MEMORY = 512, 1024, or 2048

value = 0.5

MEMORY = 1024, 2048, 3072, or 4096

value = 1

MEMORY = 2048, 3072, 4096, 5120, 6144, 7168, or 8192

value = 2

MEMORY = 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

value = 4

MEMORY = 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

Parameters:

value - The quantity of the specified resource to reserve for the container. The values vary based on the type specified.

type="GPU"

The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job shouldn't exceed the number of available GPUs on the compute resource that the job is launched on.

GPUs are not available for jobs running on Fargate resources.

type="MEMORY"

The memory hard limit (in MiB) present to the container. This parameter is supported for jobs running on EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run. You must specify at least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run.

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory Management in the AWS Batch User Guide.

For jobs running on Fargate resources, then value is the hard limit (in MiB), and must match one of the supported values and the VCPU values must be one of the values supported for that memory value.

value = 512

VCPU = 0.25

value = 1024

VCPU = 0.25 or 0.5

value = 2048

VCPU = 0.25, 0.5, or 1

value = 3072

VCPU = 0.5, or 1

value = 4096

VCPU = 0.5, 1, or 2

value = 5120, 6144, or 7168

VCPU = 1 or 2

value = 8192

VCPU = 1, 2, or 4

value = 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

VCPU = 2 or 4

value = 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

VCPU = 4

type="VCPU"

The number of vCPUs reserved for the container. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run. Each vCPU is equivalent to 1,024 CPU shares. For EC2 resources, you must specify at least one vCPU. This is required but can be specified in several places; it must be specified for each node at least once.

For jobs running on Fargate resources, then value must match one of the supported values and the MEMORY values must be one of the values supported for that VCPU value. The supported values are 0.25, 0.5, 1, 2, and 4

value = 0.25

MEMORY = 512, 1024, or 2048

value = 0.5

MEMORY = 1024, 2048, 3072, or 4096

value = 1

MEMORY = 2048, 3072, 4096, 5120, 6144, 7168, or 8192

value = 2

MEMORY = 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

value = 4

MEMORY = 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

getValue

public String getValue()

The quantity of the specified resource to reserve for the container. The values vary based on the type specified.

type="GPU"

The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job shouldn't exceed the number of available GPUs on the compute resource that the job is launched on.

GPUs are not available for jobs running on Fargate resources.

type="MEMORY"

The memory hard limit (in MiB) present to the container. This parameter is supported for jobs running on EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run. You must specify at least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run.

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory Management in the AWS Batch User Guide.

For jobs running on Fargate resources, then value is the hard limit (in MiB), and must match one of the supported values and the VCPU values must be one of the values supported for that memory value.

value = 512

VCPU = 0.25

value = 1024

VCPU = 0.25 or 0.5

value = 2048

VCPU = 0.25, 0.5, or 1

value = 3072

VCPU = 0.5, or 1

value = 4096

VCPU = 0.5, 1, or 2

value = 5120, 6144, or 7168

VCPU = 1 or 2

value = 8192

VCPU = 1, 2, or 4

value = 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

VCPU = 2 or 4

value = 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

VCPU = 4

type="VCPU"

The number of vCPUs reserved for the container. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run. Each vCPU is equivalent to 1,024 CPU shares. For EC2 resources, you must specify at least one vCPU. This is required but can be specified in several places; it must be specified for each node at least once.

For jobs running on Fargate resources, then value must match one of the supported values and the MEMORY values must be one of the values supported for that VCPU value. The supported values are 0.25, 0.5, 1, 2, and 4

value = 0.25

MEMORY = 512, 1024, or 2048

value = 0.5

MEMORY = 1024, 2048, 3072, or 4096

value = 1

MEMORY = 2048, 3072, 4096, 5120, 6144, 7168, or 8192

value = 2

MEMORY = 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

value = 4

MEMORY = 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

Returns:

The quantity of the specified resource to reserve for the container. The values vary based on the type specified.

type="GPU"

The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job shouldn't exceed the number of available GPUs on the compute resource that the job is launched on.

GPUs are not available for jobs running on Fargate resources.

type="MEMORY"

The memory hard limit (in MiB) present to the container. This parameter is supported for jobs running on EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run. You must specify at least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run.

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory Management in the AWS Batch User Guide.

For jobs running on Fargate resources, then value is the hard limit (in MiB), and must match one of the supported values and the VCPU values must be one of the values supported for that memory value.

value = 512

VCPU = 0.25

value = 1024

VCPU = 0.25 or 0.5

value = 2048

VCPU = 0.25, 0.5, or 1

value = 3072

VCPU = 0.5, or 1

value = 4096

VCPU = 0.5, 1, or 2

value = 5120, 6144, or 7168

VCPU = 1 or 2

value = 8192

VCPU = 1, 2, or 4

value = 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

VCPU = 2 or 4

value = 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

VCPU = 4

type="VCPU"

The number of vCPUs reserved for the container. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run. Each vCPU is equivalent to 1,024 CPU shares. For EC2 resources, you must specify at least one vCPU. This is required but can be specified in several places; it must be specified for each node at least once.

For jobs running on Fargate resources, then value must match one of the supported values and the MEMORY values must be one of the values supported for that VCPU value. The supported values are 0.25, 0.5, 1, 2, and 4

value = 0.25

MEMORY = 512, 1024, or 2048

value = 0.5

MEMORY = 1024, 2048, 3072, or 4096

value = 1

MEMORY = 2048, 3072, 4096, 5120, 6144, 7168, or 8192

value = 2

MEMORY = 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

value = 4

MEMORY = 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

withValue

public ResourceRequirement withValue(String value)

The quantity of the specified resource to reserve for the container. The values vary based on the type specified.

type="GPU"

The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job shouldn't exceed the number of available GPUs on the compute resource that the job is launched on.

GPUs are not available for jobs running on Fargate resources.

type="MEMORY"

The memory hard limit (in MiB) present to the container. This parameter is supported for jobs running on EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run. You must specify at least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run.

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory Management in the AWS Batch User Guide.

For jobs running on Fargate resources, then value is the hard limit (in MiB), and must match one of the supported values and the VCPU values must be one of the values supported for that memory value.

value = 512

VCPU = 0.25

value = 1024

VCPU = 0.25 or 0.5

value = 2048

VCPU = 0.25, 0.5, or 1

value = 3072

VCPU = 0.5, or 1

value = 4096

VCPU = 0.5, 1, or 2

value = 5120, 6144, or 7168

VCPU = 1 or 2

value = 8192

VCPU = 1, 2, or 4

value = 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

VCPU = 2 or 4

value = 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

VCPU = 4

type="VCPU"

The number of vCPUs reserved for the container. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run. Each vCPU is equivalent to 1,024 CPU shares. For EC2 resources, you must specify at least one vCPU. This is required but can be specified in several places; it must be specified for each node at least once.

For jobs running on Fargate resources, then value must match one of the supported values and the MEMORY values must be one of the values supported for that VCPU value. The supported values are 0.25, 0.5, 1, 2, and 4

value = 0.25

MEMORY = 512, 1024, or 2048

value = 0.5

MEMORY = 1024, 2048, 3072, or 4096

value = 1

MEMORY = 2048, 3072, 4096, 5120, 6144, 7168, or 8192

value = 2

MEMORY = 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

value = 4

MEMORY = 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

Parameters:

value - The quantity of the specified resource to reserve for the container. The values vary based on the type specified.

type="GPU"

The number of physical GPUs to reserve for the container. The number of GPUs reserved for all containers in a job shouldn't exceed the number of available GPUs on the compute resource that the job is launched on.

GPUs are not available for jobs running on Fargate resources.

type="MEMORY"

The memory hard limit (in MiB) present to the container. This parameter is supported for jobs running on EC2 resources. If your container attempts to exceed the memory specified, the container is terminated. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run. You must specify at least 4 MiB of memory for a job. This is required but can be specified in several places for multi-node parallel (MNP) jobs. It must be specified for each node at least once. This parameter maps to Memory in the Create a container section of the Docker Remote API and the --memory option to docker run.

If you're trying to maximize your resource utilization by providing your jobs as much memory as possible for a particular instance type, see Memory Management in the AWS Batch User Guide.

For jobs running on Fargate resources, then value is the hard limit (in MiB), and must match one of the supported values and the VCPU values must be one of the values supported for that memory value.

value = 512

VCPU = 0.25

value = 1024

VCPU = 0.25 or 0.5

value = 2048

VCPU = 0.25, 0.5, or 1

value = 3072

VCPU = 0.5, or 1

value = 4096

VCPU = 0.5, 1, or 2

value = 5120, 6144, or 7168

VCPU = 1 or 2

value = 8192

VCPU = 1, 2, or 4

value = 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

VCPU = 2 or 4

value = 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

VCPU = 4

type="VCPU"

The number of vCPUs reserved for the container. This parameter maps to CpuShares in the Create a container section of the Docker Remote API and the --cpu-shares option to docker run. Each vCPU is equivalent to 1,024 CPU shares. For EC2 resources, you must specify at least one vCPU. This is required but can be specified in several places; it must be specified for each node at least once.

For jobs running on Fargate resources, then value must match one of the supported values and the MEMORY values must be one of the values supported for that VCPU value. The supported values are 0.25, 0.5, 1, 2, and 4

value = 0.25

MEMORY = 512, 1024, or 2048

value = 0.5

MEMORY = 1024, 2048, 3072, or 4096

value = 1

MEMORY = 2048, 3072, 4096, 5120, 6144, 7168, or 8192

value = 2

MEMORY = 4096, 5120, 6144, 7168, 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, or 16384

value = 4

MEMORY = 8192, 9216, 10240, 11264, 12288, 13312, 14336, 15360, 16384, 17408, 18432, 19456, 20480, 21504, 22528, 23552, 24576, 25600, 26624, 27648, 28672, 29696, or 30720

Returns:

Returns a reference to this object so that method calls can be chained together.

setType

public void setType(String type)

The type of resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.

Parameters:

type - The type of resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.

See Also:

ResourceType

getType

public String getType()

The type of resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.

Returns:

The type of resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.

See Also:

ResourceType

withType

public ResourceRequirement withType(String type)

The type of resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.

Parameters:

type - The type of resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

ResourceType

withType

public ResourceRequirement withType(ResourceType type)

The type of resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.

Parameters:

type - The type of resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

ResourceType

toString

public String toString()

Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.

Overrides:

toString in class Object

Returns:

A string representation of this object.

See Also:

Object.toString()

equals

public boolean equals(Object obj)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

clone

public ResourceRequirement clone()

Overrides:

clone in class Object

marshall

public void marshall(ProtocolMarshaller protocolMarshaller)

Specified by:

marshall in interface StructuredPojo