#[non_exhaustive]pub struct CreateStreamGroupInputBuilder { /* private fields */ }
Expand description
A builder for CreateStreamGroupInput
.
Implementations§
Source§impl CreateStreamGroupInputBuilder
impl CreateStreamGroupInputBuilder
Sourcepub fn description(self, input: impl Into<String>) -> Self
pub fn description(self, input: impl Into<String>) -> Self
A descriptive label for the stream group.
This field is required.Sourcepub fn set_description(self, input: Option<String>) -> Self
pub fn set_description(self, input: Option<String>) -> Self
A descriptive label for the stream group.
Sourcepub fn get_description(&self) -> &Option<String>
pub fn get_description(&self) -> &Option<String>
A descriptive label for the stream group.
Sourcepub fn stream_class(self, input: StreamClass) -> Self
pub fn stream_class(self, input: StreamClass) -> Self
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
-
Sourcepub fn set_stream_class(self, input: Option<StreamClass>) -> Self
pub fn set_stream_class(self, input: Option<StreamClass>) -> Self
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
-
Sourcepub fn get_stream_class(&self) -> &Option<StreamClass>
pub fn get_stream_class(&self) -> &Option<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:
-
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
-
Sourcepub fn default_application_identifier(self, input: impl Into<String>) -> Self
pub fn default_application_identifier(self, input: impl Into<String>) -> Self
The unique identifier of the Amazon GameLift Streams application that you want to set as the default application in a stream group. The application that you specify must be in READY
status. The default application is pre-cached on always-on compute resources, reducing stream startup times. Other applications are automatically cached as needed.
If you do not link an application when you create a stream group, you will need to link one later, before you can start streaming, using AssociateApplications.
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
.
Sourcepub fn set_default_application_identifier(self, input: Option<String>) -> Self
pub fn set_default_application_identifier(self, input: Option<String>) -> Self
The unique identifier of the Amazon GameLift Streams application that you want to set as the default application in a stream group. The application that you specify must be in READY
status. The default application is pre-cached on always-on compute resources, reducing stream startup times. Other applications are automatically cached as needed.
If you do not link an application when you create a stream group, you will need to link one later, before you can start streaming, using AssociateApplications.
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
.
Sourcepub fn get_default_application_identifier(&self) -> &Option<String>
pub fn get_default_application_identifier(&self) -> &Option<String>
The unique identifier of the Amazon GameLift Streams application that you want to set as the default application in a stream group. The application that you specify must be in READY
status. The default application is pre-cached on always-on compute resources, reducing stream startup times. Other applications are automatically cached as needed.
If you do not link an application when you create a stream group, you will need to link one later, before you can start streaming, using AssociateApplications.
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
.
Sourcepub fn location_configurations(self, input: LocationConfiguration) -> Self
pub fn location_configurations(self, input: LocationConfiguration) -> Self
Appends an item to location_configurations
.
To override the contents of this collection use set_location_configurations
.
A set of one or more locations and the streaming capacity for each location.
Sourcepub fn set_location_configurations(
self,
input: Option<Vec<LocationConfiguration>>,
) -> Self
pub fn set_location_configurations( self, input: Option<Vec<LocationConfiguration>>, ) -> Self
A set of one or more locations and the streaming capacity for each location.
Sourcepub fn get_location_configurations(&self) -> &Option<Vec<LocationConfiguration>>
pub fn get_location_configurations(&self) -> &Option<Vec<LocationConfiguration>>
A set of one or more locations and the streaming capacity for each location.
Adds a key-value pair to tags
.
To override the contents of this collection use set_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.
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.
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.
Sourcepub fn client_token(self, input: impl Into<String>) -> Self
pub fn client_token(self, input: impl Into<String>) -> Self
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.
Sourcepub fn set_client_token(self, input: Option<String>) -> Self
pub fn set_client_token(self, input: Option<String>) -> Self
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.
Sourcepub fn get_client_token(&self) -> &Option<String>
pub fn get_client_token(&self) -> &Option<String>
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.
Sourcepub fn build(self) -> Result<CreateStreamGroupInput, BuildError>
pub fn build(self) -> Result<CreateStreamGroupInput, BuildError>
Consumes the builder and constructs a CreateStreamGroupInput
.
Source§impl CreateStreamGroupInputBuilder
impl CreateStreamGroupInputBuilder
Sourcepub async fn send_with(
self,
client: &Client,
) -> Result<CreateStreamGroupOutput, SdkError<CreateStreamGroupError, HttpResponse>>
pub async fn send_with( self, client: &Client, ) -> Result<CreateStreamGroupOutput, SdkError<CreateStreamGroupError, HttpResponse>>
Sends a request with this input using the given client.
Trait Implementations§
Source§impl Clone for CreateStreamGroupInputBuilder
impl Clone for CreateStreamGroupInputBuilder
Source§fn clone(&self) -> CreateStreamGroupInputBuilder
fn clone(&self) -> CreateStreamGroupInputBuilder
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moreSource§impl Default for CreateStreamGroupInputBuilder
impl Default for CreateStreamGroupInputBuilder
Source§fn default() -> CreateStreamGroupInputBuilder
fn default() -> CreateStreamGroupInputBuilder
Source§impl PartialEq for CreateStreamGroupInputBuilder
impl PartialEq for CreateStreamGroupInputBuilder
Source§fn eq(&self, other: &CreateStreamGroupInputBuilder) -> bool
fn eq(&self, other: &CreateStreamGroupInputBuilder) -> bool
self
and other
values to be equal, and is used by ==
.impl StructuralPartialEq for CreateStreamGroupInputBuilder
Auto Trait Implementations§
impl Freeze for CreateStreamGroupInputBuilder
impl RefUnwindSafe for CreateStreamGroupInputBuilder
impl Send for CreateStreamGroupInputBuilder
impl Sync for CreateStreamGroupInputBuilder
impl Unpin for CreateStreamGroupInputBuilder
impl UnwindSafe for CreateStreamGroupInputBuilder
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