Class CreateStreamGroupRequest
- All Implemented Interfaces:
SdkPojo
,ToCopyableBuilder<CreateStreamGroupRequest.Builder,
CreateStreamGroupRequest>
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Nested Class Summary
Nested Classes -
Method Summary
Modifier and TypeMethodDescriptionbuilder()
final String
A unique identifier that represents a client request.final String
The unique identifier of the Amazon GameLift Streams application that you want to associate to a stream group as the default application.final String
A descriptive label for the stream group.final boolean
final boolean
equalsBySdkFields
(Object obj) Indicates whether some other object is "equal to" this one by SDK fields.final <T> Optional
<T> getValueForField
(String fieldName, Class<T> clazz) Used to retrieve the value of a field from any class that extendsSdkRequest
.final int
hashCode()
final boolean
For responses, this returns true if the service returned a value for the LocationConfigurations property.final boolean
hasTags()
For responses, this returns true if the service returned a value for the Tags property.final List
<LocationConfiguration> A set of one or more locations and the streaming capacity for each location.static Class
<? extends CreateStreamGroupRequest.Builder> final StreamClass
The target stream quality for sessions that are hosted in this stream group.final String
The target stream quality for sessions that are hosted in this stream group.tags()
A list of labels to assign to the new stream group resource.Take this object and create a builder that contains all of the current property values of this object.final String
toString()
Returns a string representation of this object.Methods inherited from class software.amazon.awssdk.awscore.AwsRequest
overrideConfiguration
Methods inherited from interface software.amazon.awssdk.utils.builder.ToCopyableBuilder
copy
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Method Details
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clientToken
A unique identifier that represents a client request. The request is idempotent, which ensures that an API request completes only once. When users send a request, Amazon GameLift Streams automatically populates this field.
- Returns:
- A unique identifier that represents a client request. The request is idempotent, which ensures that an API request completes only once. When users send a request, Amazon GameLift Streams automatically populates this field.
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defaultApplicationIdentifier
The unique identifier of the Amazon GameLift Streams application that you want to associate to a stream group as the default application. The application must be in
READY
status. By setting the default application identifier, you will optimize startup performance of this application in your stream group. Once set, this application cannot be disassociated from the stream group, unlike applications that are associated using AssociateApplications. If not set when creating a stream group, you will need to call AssociateApplications later, before you can start streaming.This value is an Amazon Resource Name (ARN) or ID that uniquely identifies the application resource. Example ARN:
arn:aws:gameliftstreams:us-west-2:111122223333:application/a-9ZY8X7Wv6
. Example ID:a-9ZY8X7Wv6
.- Returns:
- The unique identifier of the Amazon GameLift Streams application that you want to associate to a stream
group as the default application. The application must be in
READY
status. By setting the default application identifier, you will optimize startup performance of this application in your stream group. Once set, this application cannot be disassociated from the stream group, unlike applications that are associated using AssociateApplications. If not set when creating a stream group, you will need to call AssociateApplications later, before you can start streaming.This value is an Amazon Resource Name (ARN) or ID that uniquely identifies the application resource. Example ARN:
arn:aws:gameliftstreams:us-west-2:111122223333:application/a-9ZY8X7Wv6
. Example ID:a-9ZY8X7Wv6
.
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description
A descriptive label for the stream group.
- Returns:
- A descriptive label for the stream group.
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hasLocationConfigurations
public final boolean hasLocationConfigurations()For responses, this returns true if the service returned a value for the LocationConfigurations property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
locationConfigurations
A set of one or more locations and the streaming capacity for each location.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasLocationConfigurations()
method.- Returns:
- A set of one or more locations and the streaming capacity for each location.
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streamClass
The target stream quality for sessions that are hosted in this stream group. Set a stream class that is appropriate to the type of content that you're streaming. Stream class determines the type of computing resources Amazon GameLift Streams uses and impacts the cost of streaming. The following options are available:
A stream class can be one of the following:
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gen5n_win2022
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.4, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
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Reference frame rate: 60 fps
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Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
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Tenancy: Supports 1 concurrent stream session
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gen5n_high
(NVIDIA, high) Supports applications with moderate to high 3D scene complexity. Uses NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
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Reference frame rate: 60 fps
-
Workload specifications: 4 vCPUs, 16 GB RAM, 12 GB VRAM
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Tenancy: Supports up to 2 concurrent stream sessions
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gen5n_ultra
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Uses dedicated NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
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gen4n_win2022
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.4, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
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Tenancy: Supports 1 concurrent stream session
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gen4n_high
(NVIDIA, high) Supports applications with moderate to high 3D scene complexity. Uses NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 4 vCPUs, 16 GB RAM, 8 GB VRAM
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Tenancy: Supports up to 2 concurrent stream sessions
-
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gen4n_ultra
(NVIDIA, ultra) Supports applications with high 3D scene complexity. Uses dedicated NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
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Tenancy: Supports 1 concurrent stream session
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If the service returns an enum value that is not available in the current SDK version,
streamClass
will returnStreamClass.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromstreamClassAsString()
.- Returns:
- The target stream quality for sessions that are hosted in this stream group. Set a stream class that is
appropriate to the type of content that you're streaming. Stream class determines the type of computing
resources Amazon GameLift Streams uses and impacts the cost of streaming. The following options are
available:
A stream class can be one of the following:
-
gen5n_win2022
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.4, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
-
-
gen5n_high
(NVIDIA, high) Supports applications with moderate to high 3D scene complexity. Uses NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 4 vCPUs, 16 GB RAM, 12 GB VRAM
-
Tenancy: Supports up to 2 concurrent stream sessions
-
-
gen5n_ultra
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Uses dedicated NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
-
-
gen4n_win2022
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.4, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
-
-
gen4n_high
(NVIDIA, high) Supports applications with moderate to high 3D scene complexity. Uses NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 4 vCPUs, 16 GB RAM, 8 GB VRAM
-
Tenancy: Supports up to 2 concurrent stream sessions
-
-
gen4n_ultra
(NVIDIA, ultra) Supports applications with high 3D scene complexity. Uses dedicated NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
-
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- See Also:
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streamClassAsString
The target stream quality for sessions that are hosted in this stream group. Set a stream class that is appropriate to the type of content that you're streaming. Stream class determines the type of computing resources Amazon GameLift Streams uses and impacts the cost of streaming. The following options are available:
A stream class can be one of the following:
-
gen5n_win2022
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.4, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
-
-
gen5n_high
(NVIDIA, high) Supports applications with moderate to high 3D scene complexity. Uses NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 4 vCPUs, 16 GB RAM, 12 GB VRAM
-
Tenancy: Supports up to 2 concurrent stream sessions
-
-
gen5n_ultra
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Uses dedicated NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
-
-
gen4n_win2022
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.4, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
-
-
gen4n_high
(NVIDIA, high) Supports applications with moderate to high 3D scene complexity. Uses NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 4 vCPUs, 16 GB RAM, 8 GB VRAM
-
Tenancy: Supports up to 2 concurrent stream sessions
-
-
gen4n_ultra
(NVIDIA, ultra) Supports applications with high 3D scene complexity. Uses dedicated NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
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If the service returns an enum value that is not available in the current SDK version,
streamClass
will returnStreamClass.UNKNOWN_TO_SDK_VERSION
. The raw value returned by the service is available fromstreamClassAsString()
.- Returns:
- The target stream quality for sessions that are hosted in this stream group. Set a stream class that is
appropriate to the type of content that you're streaming. Stream class determines the type of computing
resources Amazon GameLift Streams uses and impacts the cost of streaming. The following options are
available:
A stream class can be one of the following:
-
gen5n_win2022
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.4, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
-
-
gen5n_high
(NVIDIA, high) Supports applications with moderate to high 3D scene complexity. Uses NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 4 vCPUs, 16 GB RAM, 12 GB VRAM
-
Tenancy: Supports up to 2 concurrent stream sessions
-
-
gen5n_ultra
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Uses dedicated NVIDIA A10G Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 24 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
-
-
gen4n_win2022
(NVIDIA, ultra) Supports applications with extremely high 3D scene complexity. Runs applications on Microsoft Windows Server 2022 Base and supports DirectX 12. Compatible with Unreal Engine versions up through 5.4, 32 and 64-bit applications, and anti-cheat technology. Uses NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
-
-
gen4n_high
(NVIDIA, high) Supports applications with moderate to high 3D scene complexity. Uses NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 4 vCPUs, 16 GB RAM, 8 GB VRAM
-
Tenancy: Supports up to 2 concurrent stream sessions
-
-
gen4n_ultra
(NVIDIA, ultra) Supports applications with high 3D scene complexity. Uses dedicated NVIDIA T4 Tensor GPU.-
Reference resolution: 1080p
-
Reference frame rate: 60 fps
-
Workload specifications: 8 vCPUs, 32 GB RAM, 16 GB VRAM
-
Tenancy: Supports 1 concurrent stream session
-
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- See Also:
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hasTags
public final boolean hasTags()For responses, this returns true if the service returned a value for the Tags property. This DOES NOT check that the value is non-empty (for which, you should check theisEmpty()
method on the property). This is useful because the SDK will never return a null collection or map, but you may need to differentiate between the service returning nothing (or null) and the service returning an empty collection or map. For requests, this returns true if a value for the property was specified in the request builder, and false if a value was not specified. -
tags
A list of labels to assign to the new stream group resource. Tags are developer-defined key-value pairs. Tagging Amazon Web Services resources is useful for resource management, access management and cost allocation. See Tagging Amazon Web Services Resources in the Amazon Web Services General Reference. You can use TagResource to add tags, UntagResource to remove tags, and ListTagsForResource to view tags on existing resources.
Attempts to modify the collection returned by this method will result in an UnsupportedOperationException.
This method will never return null. If you would like to know whether the service returned this field (so that you can differentiate between null and empty), you can use the
hasTags()
method.- Returns:
- A list of labels to assign to the new stream group resource. Tags are developer-defined key-value pairs. Tagging Amazon Web Services resources is useful for resource management, access management and cost allocation. See Tagging Amazon Web Services Resources in the Amazon Web Services General Reference. You can use TagResource to add tags, UntagResource to remove tags, and ListTagsForResource to view tags on existing resources.
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toBuilder
Description copied from interface:ToCopyableBuilder
Take this object and create a builder that contains all of the current property values of this object.- Specified by:
toBuilder
in interfaceToCopyableBuilder<CreateStreamGroupRequest.Builder,
CreateStreamGroupRequest> - Specified by:
toBuilder
in classGameLiftStreamsRequest
- Returns:
- a builder for type T
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builder
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serializableBuilderClass
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hashCode
public final int hashCode()- Overrides:
hashCode
in classAwsRequest
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equals
- Overrides:
equals
in classAwsRequest
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equalsBySdkFields
Description copied from interface:SdkPojo
Indicates whether some other object is "equal to" this one by SDK fields. An SDK field is a modeled, non-inherited field in anSdkPojo
class, and is generated based on a service model.If an
SdkPojo
class does not have any inherited fields,equalsBySdkFields
andequals
are essentially the same.- Specified by:
equalsBySdkFields
in interfaceSdkPojo
- Parameters:
obj
- the object to be compared with- Returns:
- true if the other object equals to this object by sdk fields, false otherwise.
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toString
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getValueForField
Description copied from class:SdkRequest
Used to retrieve the value of a field from any class that extendsSdkRequest
. The field name specified should match the member name from the corresponding service-2.json model specified in the codegen-resources folder for a given service. The class specifies what class to cast the returned value to. If the returned value is also a modeled class, theSdkRequest.getValueForField(String, Class)
method will again be available.- Overrides:
getValueForField
in classSdkRequest
- Parameters:
fieldName
- The name of the member to be retrieved.clazz
- The class to cast the returned object to.- Returns:
- Optional containing the casted return value
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sdkFields
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sdkFieldNameToField
- Specified by:
sdkFieldNameToField
in interfaceSdkPojo
- Returns:
- The mapping between the field name and its corresponding field.
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