98 lines
3.7 KiB
TypeScript
98 lines
3.7 KiB
TypeScript
import type { Construct } from 'constructs';
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import type { PlacementConstraint, PlacementStrategy } from '../../../aws-ecs';
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import { Ec2Service, Ec2TaskDefinition } from '../../../aws-ecs';
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import type { QueueProcessingServiceBaseProps } from '../base/queue-processing-service-base';
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import { QueueProcessingServiceBase } from '../base/queue-processing-service-base';
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/**
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* The properties for the QueueProcessingEc2Service service.
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*/
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export interface QueueProcessingEc2ServiceProps extends QueueProcessingServiceBaseProps {
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/**
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* The number of cpu units used by the task.
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*
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* Valid values, which determines your range of valid values for the memory parameter:
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*
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* 256 (.25 vCPU) - Available memory values: 0.5GB, 1GB, 2GB
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*
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* 512 (.5 vCPU) - Available memory values: 1GB, 2GB, 3GB, 4GB
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*
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* 1024 (1 vCPU) - Available memory values: 2GB, 3GB, 4GB, 5GB, 6GB, 7GB, 8GB
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*
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* 2048 (2 vCPU) - Available memory values: Between 4GB and 16GB in 1GB increments
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*
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* 4096 (4 vCPU) - Available memory values: Between 8GB and 30GB in 1GB increments
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*
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* This default is set in the underlying FargateTaskDefinition construct.
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*
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* @default none
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*/
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readonly cpu?: number;
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/**
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* The hard limit (in MiB) of memory to present to the container.
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*
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* If your container attempts to exceed the allocated memory, the container
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* is terminated.
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*
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* At least one of memoryLimitMiB and memoryReservationMiB is required for non-Fargate services.
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*
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* @default - No memory limit.
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*/
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readonly memoryLimitMiB?: number;
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/**
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* The soft limit (in MiB) of memory to reserve for the container.
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*
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* When system memory is under contention, Docker attempts to keep the
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* container memory within the limit. If the container requires more memory,
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* it can consume up to the value specified by the Memory property or all of
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* the available memory on the container instance—whichever comes first.
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*
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* At least one of memoryLimitMiB and memoryReservationMiB is required for non-Fargate services.
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*
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* @default - No memory reserved.
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*/
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readonly memoryReservationMiB?: number;
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/**
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* Gpu count for container in task definition. Set this if you want to use gpu based instances.
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*
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* @default - No GPUs assigned.
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*/
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readonly gpuCount?: number;
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/**
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* Optional name for the container added
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*
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* @default - QueueProcessingContainer
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*/
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readonly containerName?: string;
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/**
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* The placement constraints to use for tasks in the service. For more information, see
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* [Amazon ECS Task Placement Constraints](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-placement-constraints.html).
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*
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* @default - No constraints.
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*/
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readonly placementConstraints?: PlacementConstraint[];
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/**
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* The placement strategies to use for tasks in the service. For more information, see
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* [Amazon ECS Task Placement Strategies](https://docs.aws.amazon.com/AmazonECS/latest/developerguide/task-placement-strategies.html).
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*
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* @default - No strategies.
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*/
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readonly placementStrategies?: PlacementStrategy[];
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}
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/**
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* Class to create a queue processing EC2 service.
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*/
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export declare class QueueProcessingEc2Service extends QueueProcessingServiceBase {
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/**
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* The EC2 service in this construct.
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*/
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readonly service: Ec2Service;
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/**
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* The EC2 task definition in this construct
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*/
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readonly taskDefinition: Ec2TaskDefinition;
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/**
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* Constructs a new instance of the QueueProcessingEc2Service class.
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*/
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constructor(scope: Construct, id: string, props?: QueueProcessingEc2ServiceProps);
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}
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