Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.Pipes.Types.BatchResourceRequirement

Description

Synopsis

Documentation

data BatchResourceRequirement Source #

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

See: newBatchResourceRequirement smart constructor.

Constructors

BatchResourceRequirement'

Fields

type' :: BatchResourceRequirementType
The type of resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.
value :: Text
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. Make sure that the number of GPUs reserved for all containers in a job doesn't exceed the number of available GPUs on the compute resource that the job is launched on.
GPUs aren't available for jobs that are running on Fargate resources.
type="MEMORY"
The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are 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 Batch User Guide.
For jobs that are 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, 4, or 8
value = 9216, 10240, 11264, 12288, 13312, 14336, or 15360
VCPU = 2 or 4
value = 16384
VCPU = 2, 4, or 8
value = 17408, 18432, 19456, 21504, 22528, 23552, 25600, 26624, 27648, 29696, or 30720
VCPU = 4
value = 20480, 24576, or 28672
VCPU = 4 or 8
value = 36864, 45056, 53248, or 61440
VCPU = 8
value = 32768, 40960, 49152, or 57344
VCPU = 8 or 16
value = 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880
VCPU = 16
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.
The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about Fargate quotas, see Fargate quotas in the Amazon Web Services General Reference.
For jobs that are 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, 4, 8, and 16
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
value = 8
MEMORY = 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or 61440
value = 16
MEMORY = 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880

Instances

Instances details

FromJSON BatchResourceRequirement Source #
Instance details Defined in Amazonka.Pipes.Types.BatchResourceRequirement Methods parseJSON :: Value -> Parser BatchResourceRequirement # parseJSONList :: Value -> Parser [BatchResourceRequirement] #
ToJSON BatchResourceRequirement Source #
Instance details Defined in Amazonka.Pipes.Types.BatchResourceRequirement Methods toJSON :: BatchResourceRequirement -> Value # toEncoding :: BatchResourceRequirement -> Encoding # toJSONList :: [BatchResourceRequirement] -> Value # toEncodingList :: [BatchResourceRequirement] -> Encoding #
Generic BatchResourceRequirement Source #
Instance details Defined in Amazonka.Pipes.Types.BatchResourceRequirement Associated Types type Rep BatchResourceRequirement :: Type -> Type # Methods from :: BatchResourceRequirement -> Rep BatchResourceRequirement x # to :: Rep BatchResourceRequirement x -> BatchResourceRequirement #
Read BatchResourceRequirement Source #
Instance details Defined in Amazonka.Pipes.Types.BatchResourceRequirement Methods readsPrec :: Int -> ReadS BatchResourceRequirement # readList :: ReadS [BatchResourceRequirement] # readPrec :: ReadPrec BatchResourceRequirement # readListPrec :: ReadPrec [BatchResourceRequirement] #
Show BatchResourceRequirement Source #
Instance details Defined in Amazonka.Pipes.Types.BatchResourceRequirement Methods showsPrec :: Int -> BatchResourceRequirement -> ShowS # show :: BatchResourceRequirement -> String # showList :: [BatchResourceRequirement] -> ShowS #
NFData BatchResourceRequirement Source #
Instance details Defined in Amazonka.Pipes.Types.BatchResourceRequirement Methods rnf :: BatchResourceRequirement -> () #
Eq BatchResourceRequirement Source #
Instance details Defined in Amazonka.Pipes.Types.BatchResourceRequirement Methods (==) :: BatchResourceRequirement -> BatchResourceRequirement -> Bool # (/=) :: BatchResourceRequirement -> BatchResourceRequirement -> Bool #
Hashable BatchResourceRequirement Source #
Instance details Defined in Amazonka.Pipes.Types.BatchResourceRequirement Methods hashWithSalt :: Int -> BatchResourceRequirement -> Int # hash :: BatchResourceRequirement -> Int #
type Rep BatchResourceRequirement Source #
Instance details Defined in Amazonka.Pipes.Types.BatchResourceRequirement type Rep BatchResourceRequirement = D1 ('MetaData "BatchResourceRequirement" "Amazonka.Pipes.Types.BatchResourceRequirement" "amazonka-pipes-2.0-DDuNjbjVfgsJFLlibzr06i" 'False) (C1 ('MetaCons "BatchResourceRequirement'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 BatchResourceRequirementType) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newBatchResourceRequirement Source #

Arguments

:: BatchResourceRequirementType	`$sel:type':BatchResourceRequirement'`
-> Text	`$sel:value:BatchResourceRequirement'`
-> BatchResourceRequirement

Create a value of BatchResourceRequirement with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:type':BatchResourceRequirement', batchResourceRequirement_type - The type of resource to assign to a container. The supported resources include GPU, MEMORY, and VCPU.

$sel:value:BatchResourceRequirement', batchResourceRequirement_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. Make sure that the number of GPUs reserved for all containers in a job doesn't exceed the number of available GPUs on the compute resource that the job is launched on.

GPUs aren't available for jobs that are running on Fargate resources.

type="MEMORY"

The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are 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 Batch User Guide.

For jobs that are 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, 4, or 8
value = 9216, 10240, 11264, 12288, 13312, 14336, or 15360: VCPU = 2 or 4
value = 16384: VCPU = 2, 4, or 8
value = 17408, 18432, 19456, 21504, 22528, 23552, 25600, 26624, 27648, 29696, or 30720: VCPU = 4
value = 20480, 24576, or 28672: VCPU = 4 or 8
value = 36864, 45056, 53248, or 61440: VCPU = 8
value = 32768, 40960, 49152, or 57344: VCPU = 8 or 16
value = 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880: VCPU = 16

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.

The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about Fargate quotas, see Fargate quotas in the Amazon Web Services General Reference.

For jobs that are 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, 4, 8, and 16

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
value = 8: MEMORY = 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or 61440
value = 16: MEMORY = 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880

batchResourceRequirement_type :: Lens' BatchResourceRequirement BatchResourceRequirementType Source #

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

batchResourceRequirement_value :: Lens' BatchResourceRequirement Text Source #

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. Make sure that the number of GPUs reserved for all containers in a job doesn't exceed the number of available GPUs on the compute resource that the job is launched on.

GPUs aren't available for jobs that are running on Fargate resources.

type="MEMORY"

The memory hard limit (in MiB) present to the container. This parameter is supported for jobs that are 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 Batch User Guide.

For jobs that are 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, 4, or 8
value = 9216, 10240, 11264, 12288, 13312, 14336, or 15360: VCPU = 2 or 4
value = 16384: VCPU = 2, 4, or 8
value = 17408, 18432, 19456, 21504, 22528, 23552, 25600, 26624, 27648, 29696, or 30720: VCPU = 4
value = 20480, 24576, or 28672: VCPU = 4 or 8
value = 36864, 45056, 53248, or 61440: VCPU = 8
value = 32768, 40960, 49152, or 57344: VCPU = 8 or 16
value = 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880: VCPU = 16

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.

The default for the Fargate On-Demand vCPU resource count quota is 6 vCPUs. For more information about Fargate quotas, see Fargate quotas in the Amazon Web Services General Reference.

For jobs that are 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, 4, 8, and 16

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
value = 8: MEMORY = 16384, 20480, 24576, 28672, 32768, 36864, 40960, 45056, 49152, 53248, 57344, or 61440
value = 16: MEMORY = 32768, 40960, 49152, 57344, 65536, 73728, 81920, 90112, 98304, 106496, 114688, or 122880