CreateStreamGroupInput

aws_sdk_gameliftstreams::operation::create_stream_group

Struct CreateStreamGroupInput 

Source 
#[non_exhaustive]
pub struct CreateStreamGroupInput {
    pub description: Option<String>,
    pub stream_class: Option<StreamClass>,
    pub default_application_identifier: Option<String>,
    pub location_configurations: Option<Vec<LocationConfiguration>>,
    pub tags: Option<HashMap<String, String>>,
    pub client_token: Option<String>,
}

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.
§description: Option<String>

A descriptive label for the stream group.

§stream_class: 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

§default_application_identifier: 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.

§location_configurations: Option<Vec<LocationConfiguration>>

A set of one or more locations and the streaming capacity for each location.

§tags: Option<HashMap<String, String>>

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.

§client_token: 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.

Implementations§

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impl CreateStreamGroupInput

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

A descriptive label for the stream group.

Source

pub fn 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

Source

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

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.

Source

pub fn location_configurations(&self) -> &[LocationConfiguration]

A set of one or more locations and the streaming capacity for each location.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .location_configurations.is_none().

Source

pub fn tags(&self) -> Option<&HashMap<String, String>>

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.

Source

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

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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impl CreateStreamGroupInput

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pub fn builder() -> CreateStreamGroupInputBuilder

Creates a new builder-style object to manufacture CreateStreamGroupInput.

Trait Implementations§

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impl Clone for CreateStreamGroupInput

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fn clone(&self) -> CreateStreamGroupInput

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 CreateStreamGroupInput

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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 CreateStreamGroupInput

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

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