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tencentcloud 1.81.189 published on Wednesday, Apr 30, 2025 by tencentcloudstack

tencentcloud.AsSchedule

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tencentcloud 1.81.189 published on Wednesday, Apr 30, 2025 by tencentcloudstack

    Provides a resource for an AS (Auto scaling) schedule.

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
    import * as tencentcloud from "@pulumi/tencentcloud";
    
    const zones = tencentcloud.getAvailabilityZonesByProduct({
        product: "as",
    });
    const image = tencentcloud.getImages({
        imageTypes: ["PUBLIC_IMAGE"],
        osName: "TencentOS Server 3.2 (Final)",
    });
    const vpc = new tencentcloud.Vpc("vpc", {cidrBlock: "10.0.0.0/16"});
    const subnet = new tencentcloud.Subnet("subnet", {
        vpcId: vpc.vpcId,
        cidrBlock: "10.0.0.0/16",
        availabilityZone: zones.then(zones => zones.zones?.[0]?.name),
    });
    const exampleAsScalingConfig = new tencentcloud.AsScalingConfig("exampleAsScalingConfig", {
        configurationName: "tf-example",
        imageId: image.then(image => image.images?.[0]?.imageId),
        instanceTypes: [
            "SA1.SMALL1",
            "SA2.SMALL1",
            "SA2.SMALL2",
            "SA2.SMALL4",
        ],
        instanceNameSettings: {
            instanceName: "test-ins-name",
        },
    });
    const exampleAsScalingGroup = new tencentcloud.AsScalingGroup("exampleAsScalingGroup", {
        scalingGroupName: "tf-example",
        configurationId: exampleAsScalingConfig.asScalingConfigId,
        maxSize: 1,
        minSize: 0,
        vpcId: vpc.vpcId,
        subnetIds: [subnet.subnetId],
    });
    const exampleAsSchedule = new tencentcloud.AsSchedule("exampleAsSchedule", {
        scalingGroupId: exampleAsScalingGroup.asScalingGroupId,
        scheduleActionName: "tf-as-schedule",
        maxSize: 10,
        minSize: 0,
        desiredCapacity: 0,
        startTime: "2019-01-01T00:00:00+08:00",
        endTime: "2019-12-01T00:00:00+08:00",
        recurrence: "0 0 * * *",
    });
    
    import pulumi
    import pulumi_tencentcloud as tencentcloud
    
    zones = tencentcloud.get_availability_zones_by_product(product="as")
    image = tencentcloud.get_images(image_types=["PUBLIC_IMAGE"],
        os_name="TencentOS Server 3.2 (Final)")
    vpc = tencentcloud.Vpc("vpc", cidr_block="10.0.0.0/16")
    subnet = tencentcloud.Subnet("subnet",
        vpc_id=vpc.vpc_id,
        cidr_block="10.0.0.0/16",
        availability_zone=zones.zones[0].name)
    example_as_scaling_config = tencentcloud.AsScalingConfig("exampleAsScalingConfig",
        configuration_name="tf-example",
        image_id=image.images[0].image_id,
        instance_types=[
            "SA1.SMALL1",
            "SA2.SMALL1",
            "SA2.SMALL2",
            "SA2.SMALL4",
        ],
        instance_name_settings={
            "instance_name": "test-ins-name",
        })
    example_as_scaling_group = tencentcloud.AsScalingGroup("exampleAsScalingGroup",
        scaling_group_name="tf-example",
        configuration_id=example_as_scaling_config.as_scaling_config_id,
        max_size=1,
        min_size=0,
        vpc_id=vpc.vpc_id,
        subnet_ids=[subnet.subnet_id])
    example_as_schedule = tencentcloud.AsSchedule("exampleAsSchedule",
        scaling_group_id=example_as_scaling_group.as_scaling_group_id,
        schedule_action_name="tf-as-schedule",
        max_size=10,
        min_size=0,
        desired_capacity=0,
        start_time="2019-01-01T00:00:00+08:00",
        end_time="2019-12-01T00:00:00+08:00",
        recurrence="0 0 * * *")
    
    package main
    
    import (
    	"github.com/pulumi/pulumi-terraform-provider/sdks/go/tencentcloud/tencentcloud"
    	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
    )
    
    func main() {
    	pulumi.Run(func(ctx *pulumi.Context) error {
    		zones, err := tencentcloud.GetAvailabilityZonesByProduct(ctx, &tencentcloud.GetAvailabilityZonesByProductArgs{
    			Product: "as",
    		}, nil)
    		if err != nil {
    			return err
    		}
    		image, err := tencentcloud.GetImages(ctx, &tencentcloud.GetImagesArgs{
    			ImageTypes: []string{
    				"PUBLIC_IMAGE",
    			},
    			OsName: pulumi.StringRef("TencentOS Server 3.2 (Final)"),
    		}, nil)
    		if err != nil {
    			return err
    		}
    		vpc, err := tencentcloud.NewVpc(ctx, "vpc", &tencentcloud.VpcArgs{
    			CidrBlock: pulumi.String("10.0.0.0/16"),
    		})
    		if err != nil {
    			return err
    		}
    		subnet, err := tencentcloud.NewSubnet(ctx, "subnet", &tencentcloud.SubnetArgs{
    			VpcId:            vpc.VpcId,
    			CidrBlock:        pulumi.String("10.0.0.0/16"),
    			AvailabilityZone: pulumi.String(zones.Zones[0].Name),
    		})
    		if err != nil {
    			return err
    		}
    		exampleAsScalingConfig, err := tencentcloud.NewAsScalingConfig(ctx, "exampleAsScalingConfig", &tencentcloud.AsScalingConfigArgs{
    			ConfigurationName: pulumi.String("tf-example"),
    			ImageId:           pulumi.String(image.Images[0].ImageId),
    			InstanceTypes: pulumi.StringArray{
    				pulumi.String("SA1.SMALL1"),
    				pulumi.String("SA2.SMALL1"),
    				pulumi.String("SA2.SMALL2"),
    				pulumi.String("SA2.SMALL4"),
    			},
    			InstanceNameSettings: &tencentcloud.AsScalingConfigInstanceNameSettingsArgs{
    				InstanceName: pulumi.String("test-ins-name"),
    			},
    		})
    		if err != nil {
    			return err
    		}
    		exampleAsScalingGroup, err := tencentcloud.NewAsScalingGroup(ctx, "exampleAsScalingGroup", &tencentcloud.AsScalingGroupArgs{
    			ScalingGroupName: pulumi.String("tf-example"),
    			ConfigurationId:  exampleAsScalingConfig.AsScalingConfigId,
    			MaxSize:          pulumi.Float64(1),
    			MinSize:          pulumi.Float64(0),
    			VpcId:            vpc.VpcId,
    			SubnetIds: pulumi.StringArray{
    				subnet.SubnetId,
    			},
    		})
    		if err != nil {
    			return err
    		}
    		_, err = tencentcloud.NewAsSchedule(ctx, "exampleAsSchedule", &tencentcloud.AsScheduleArgs{
    			ScalingGroupId:     exampleAsScalingGroup.AsScalingGroupId,
    			ScheduleActionName: pulumi.String("tf-as-schedule"),
    			MaxSize:            pulumi.Float64(10),
    			MinSize:            pulumi.Float64(0),
    			DesiredCapacity:    pulumi.Float64(0),
    			StartTime:          pulumi.String("2019-01-01T00:00:00+08:00"),
    			EndTime:            pulumi.String("2019-12-01T00:00:00+08:00"),
    			Recurrence:         pulumi.String("0 0 * * *"),
    		})
    		if err != nil {
    			return err
    		}
    		return nil
    	})
    }
    
    using System.Collections.Generic;
    using System.Linq;
    using Pulumi;
    using Tencentcloud = Pulumi.Tencentcloud;
    
    return await Deployment.RunAsync(() => 
    {
        var zones = Tencentcloud.GetAvailabilityZonesByProduct.Invoke(new()
        {
            Product = "as",
        });
    
        var image = Tencentcloud.GetImages.Invoke(new()
        {
            ImageTypes = new[]
            {
                "PUBLIC_IMAGE",
            },
            OsName = "TencentOS Server 3.2 (Final)",
        });
    
        var vpc = new Tencentcloud.Vpc("vpc", new()
        {
            CidrBlock = "10.0.0.0/16",
        });
    
        var subnet = new Tencentcloud.Subnet("subnet", new()
        {
            VpcId = vpc.VpcId,
            CidrBlock = "10.0.0.0/16",
            AvailabilityZone = zones.Apply(getAvailabilityZonesByProductResult => getAvailabilityZonesByProductResult.Zones[0]?.Name),
        });
    
        var exampleAsScalingConfig = new Tencentcloud.AsScalingConfig("exampleAsScalingConfig", new()
        {
            ConfigurationName = "tf-example",
            ImageId = image.Apply(getImagesResult => getImagesResult.Images[0]?.ImageId),
            InstanceTypes = new[]
            {
                "SA1.SMALL1",
                "SA2.SMALL1",
                "SA2.SMALL2",
                "SA2.SMALL4",
            },
            InstanceNameSettings = new Tencentcloud.Inputs.AsScalingConfigInstanceNameSettingsArgs
            {
                InstanceName = "test-ins-name",
            },
        });
    
        var exampleAsScalingGroup = new Tencentcloud.AsScalingGroup("exampleAsScalingGroup", new()
        {
            ScalingGroupName = "tf-example",
            ConfigurationId = exampleAsScalingConfig.AsScalingConfigId,
            MaxSize = 1,
            MinSize = 0,
            VpcId = vpc.VpcId,
            SubnetIds = new[]
            {
                subnet.SubnetId,
            },
        });
    
        var exampleAsSchedule = new Tencentcloud.AsSchedule("exampleAsSchedule", new()
        {
            ScalingGroupId = exampleAsScalingGroup.AsScalingGroupId,
            ScheduleActionName = "tf-as-schedule",
            MaxSize = 10,
            MinSize = 0,
            DesiredCapacity = 0,
            StartTime = "2019-01-01T00:00:00+08:00",
            EndTime = "2019-12-01T00:00:00+08:00",
            Recurrence = "0 0 * * *",
        });
    
    });
    
    package generated_program;
    
    import com.pulumi.Context;
    import com.pulumi.Pulumi;
    import com.pulumi.core.Output;
    import com.pulumi.tencentcloud.TencentcloudFunctions;
    import com.pulumi.tencentcloud.inputs.GetAvailabilityZonesByProductArgs;
    import com.pulumi.tencentcloud.inputs.GetImagesArgs;
    import com.pulumi.tencentcloud.Vpc;
    import com.pulumi.tencentcloud.VpcArgs;
    import com.pulumi.tencentcloud.Subnet;
    import com.pulumi.tencentcloud.SubnetArgs;
    import com.pulumi.tencentcloud.AsScalingConfig;
    import com.pulumi.tencentcloud.AsScalingConfigArgs;
    import com.pulumi.tencentcloud.inputs.AsScalingConfigInstanceNameSettingsArgs;
    import com.pulumi.tencentcloud.AsScalingGroup;
    import com.pulumi.tencentcloud.AsScalingGroupArgs;
    import com.pulumi.tencentcloud.AsSchedule;
    import com.pulumi.tencentcloud.AsScheduleArgs;
    import java.util.List;
    import java.util.ArrayList;
    import java.util.Map;
    import java.io.File;
    import java.nio.file.Files;
    import java.nio.file.Paths;
    
    public class App {
        public static void main(String[] args) {
            Pulumi.run(App::stack);
        }
    
        public static void stack(Context ctx) {
            final var zones = TencentcloudFunctions.getAvailabilityZonesByProduct(GetAvailabilityZonesByProductArgs.builder()
                .product("as")
                .build());
    
            final var image = TencentcloudFunctions.getImages(GetImagesArgs.builder()
                .imageTypes("PUBLIC_IMAGE")
                .osName("TencentOS Server 3.2 (Final)")
                .build());
    
            var vpc = new Vpc("vpc", VpcArgs.builder()
                .cidrBlock("10.0.0.0/16")
                .build());
    
            var subnet = new Subnet("subnet", SubnetArgs.builder()
                .vpcId(vpc.vpcId())
                .cidrBlock("10.0.0.0/16")
                .availabilityZone(zones.applyValue(getAvailabilityZonesByProductResult -> getAvailabilityZonesByProductResult.zones()[0].name()))
                .build());
    
            var exampleAsScalingConfig = new AsScalingConfig("exampleAsScalingConfig", AsScalingConfigArgs.builder()
                .configurationName("tf-example")
                .imageId(image.applyValue(getImagesResult -> getImagesResult.images()[0].imageId()))
                .instanceTypes(            
                    "SA1.SMALL1",
                    "SA2.SMALL1",
                    "SA2.SMALL2",
                    "SA2.SMALL4")
                .instanceNameSettings(AsScalingConfigInstanceNameSettingsArgs.builder()
                    .instanceName("test-ins-name")
                    .build())
                .build());
    
            var exampleAsScalingGroup = new AsScalingGroup("exampleAsScalingGroup", AsScalingGroupArgs.builder()
                .scalingGroupName("tf-example")
                .configurationId(exampleAsScalingConfig.asScalingConfigId())
                .maxSize(1)
                .minSize(0)
                .vpcId(vpc.vpcId())
                .subnetIds(subnet.subnetId())
                .build());
    
            var exampleAsSchedule = new AsSchedule("exampleAsSchedule", AsScheduleArgs.builder()
                .scalingGroupId(exampleAsScalingGroup.asScalingGroupId())
                .scheduleActionName("tf-as-schedule")
                .maxSize(10)
                .minSize(0)
                .desiredCapacity(0)
                .startTime("2019-01-01T00:00:00+08:00")
                .endTime("2019-12-01T00:00:00+08:00")
                .recurrence("0 0 * * *")
                .build());
    
        }
    }
    
    resources:
      vpc:
        type: tencentcloud:Vpc
        properties:
          cidrBlock: 10.0.0.0/16
      subnet:
        type: tencentcloud:Subnet
        properties:
          vpcId: ${vpc.vpcId}
          cidrBlock: 10.0.0.0/16
          availabilityZone: ${zones.zones[0].name}
      exampleAsScalingConfig:
        type: tencentcloud:AsScalingConfig
        properties:
          configurationName: tf-example
          imageId: ${image.images[0].imageId}
          instanceTypes:
            - SA1.SMALL1
            - SA2.SMALL1
            - SA2.SMALL2
            - SA2.SMALL4
          instanceNameSettings:
            instanceName: test-ins-name
      exampleAsScalingGroup:
        type: tencentcloud:AsScalingGroup
        properties:
          scalingGroupName: tf-example
          configurationId: ${exampleAsScalingConfig.asScalingConfigId}
          maxSize: 1
          minSize: 0
          vpcId: ${vpc.vpcId}
          subnetIds:
            - ${subnet.subnetId}
      exampleAsSchedule:
        type: tencentcloud:AsSchedule
        properties:
          scalingGroupId: ${exampleAsScalingGroup.asScalingGroupId}
          scheduleActionName: tf-as-schedule
          maxSize: 10
          minSize: 0
          desiredCapacity: 0
          startTime: 2019-01-01T00:00:00+08:00
          endTime: 2019-12-01T00:00:00+08:00
          recurrence: 0 0 * * *
    variables:
      zones:
        fn::invoke:
          function: tencentcloud:getAvailabilityZonesByProduct
          arguments:
            product: as
      image:
        fn::invoke:
          function: tencentcloud:getImages
          arguments:
            imageTypes:
              - PUBLIC_IMAGE
            osName: TencentOS Server 3.2 (Final)
    

    Create AsSchedule Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new AsSchedule(name: string, args: AsScheduleArgs, opts?: CustomResourceOptions);
    @overload
    def AsSchedule(resource_name: str,
                   args: AsScheduleArgs,
                   opts: Optional[ResourceOptions] = None)
    
    @overload
    def AsSchedule(resource_name: str,
                   opts: Optional[ResourceOptions] = None,
                   desired_capacity: Optional[float] = None,
                   max_size: Optional[float] = None,
                   min_size: Optional[float] = None,
                   scaling_group_id: Optional[str] = None,
                   schedule_action_name: Optional[str] = None,
                   start_time: Optional[str] = None,
                   as_schedule_id: Optional[str] = None,
                   end_time: Optional[str] = None,
                   recurrence: Optional[str] = None)
    func NewAsSchedule(ctx *Context, name string, args AsScheduleArgs, opts ...ResourceOption) (*AsSchedule, error)
    public AsSchedule(string name, AsScheduleArgs args, CustomResourceOptions? opts = null)
    public AsSchedule(String name, AsScheduleArgs args)
    public AsSchedule(String name, AsScheduleArgs args, CustomResourceOptions options)
    
    type: tencentcloud:AsSchedule
    properties: # The arguments to resource properties.
    options: # Bag of options to control resource's behavior.
    
    

    Parameters

    name string
    The unique name of the resource.
    args AsScheduleArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args AsScheduleArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args AsScheduleArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args AsScheduleArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args AsScheduleArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    AsSchedule Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The AsSchedule resource accepts the following input properties:

    DesiredCapacity double
    The desired number of CVM instances that should be running in the group.
    MaxSize double
    The maximum size for the Auto Scaling group.
    MinSize double
    The minimum size for the Auto Scaling group.
    ScalingGroupId string
    ID of a scaling group.
    ScheduleActionName string
    The name of this scaling action.
    StartTime string
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    AsScheduleId string
    ID of the resource.
    EndTime string
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    Recurrence string
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.
    DesiredCapacity float64
    The desired number of CVM instances that should be running in the group.
    MaxSize float64
    The maximum size for the Auto Scaling group.
    MinSize float64
    The minimum size for the Auto Scaling group.
    ScalingGroupId string
    ID of a scaling group.
    ScheduleActionName string
    The name of this scaling action.
    StartTime string
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    AsScheduleId string
    ID of the resource.
    EndTime string
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    Recurrence string
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.
    desiredCapacity Double
    The desired number of CVM instances that should be running in the group.
    maxSize Double
    The maximum size for the Auto Scaling group.
    minSize Double
    The minimum size for the Auto Scaling group.
    scalingGroupId String
    ID of a scaling group.
    scheduleActionName String
    The name of this scaling action.
    startTime String
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    asScheduleId String
    ID of the resource.
    endTime String
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    recurrence String
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.
    desiredCapacity number
    The desired number of CVM instances that should be running in the group.
    maxSize number
    The maximum size for the Auto Scaling group.
    minSize number
    The minimum size for the Auto Scaling group.
    scalingGroupId string
    ID of a scaling group.
    scheduleActionName string
    The name of this scaling action.
    startTime string
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    asScheduleId string
    ID of the resource.
    endTime string
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    recurrence string
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.
    desired_capacity float
    The desired number of CVM instances that should be running in the group.
    max_size float
    The maximum size for the Auto Scaling group.
    min_size float
    The minimum size for the Auto Scaling group.
    scaling_group_id str
    ID of a scaling group.
    schedule_action_name str
    The name of this scaling action.
    start_time str
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    as_schedule_id str
    ID of the resource.
    end_time str
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    recurrence str
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.
    desiredCapacity Number
    The desired number of CVM instances that should be running in the group.
    maxSize Number
    The maximum size for the Auto Scaling group.
    minSize Number
    The minimum size for the Auto Scaling group.
    scalingGroupId String
    ID of a scaling group.
    scheduleActionName String
    The name of this scaling action.
    startTime String
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    asScheduleId String
    ID of the resource.
    endTime String
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    recurrence String
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the AsSchedule resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    Id string
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.
    id string
    The provider-assigned unique ID for this managed resource.
    id str
    The provider-assigned unique ID for this managed resource.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing AsSchedule Resource

    Get an existing AsSchedule resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

    public static get(name: string, id: Input<ID>, state?: AsScheduleState, opts?: CustomResourceOptions): AsSchedule
    @staticmethod
    def get(resource_name: str,
            id: str,
            opts: Optional[ResourceOptions] = None,
            as_schedule_id: Optional[str] = None,
            desired_capacity: Optional[float] = None,
            end_time: Optional[str] = None,
            max_size: Optional[float] = None,
            min_size: Optional[float] = None,
            recurrence: Optional[str] = None,
            scaling_group_id: Optional[str] = None,
            schedule_action_name: Optional[str] = None,
            start_time: Optional[str] = None) -> AsSchedule
    func GetAsSchedule(ctx *Context, name string, id IDInput, state *AsScheduleState, opts ...ResourceOption) (*AsSchedule, error)
    public static AsSchedule Get(string name, Input<string> id, AsScheduleState? state, CustomResourceOptions? opts = null)
    public static AsSchedule get(String name, Output<String> id, AsScheduleState state, CustomResourceOptions options)
    resources:  _:    type: tencentcloud:AsSchedule    get:      id: ${id}
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    resource_name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    name
    The unique name of the resulting resource.
    id
    The unique provider ID of the resource to lookup.
    state
    Any extra arguments used during the lookup.
    opts
    A bag of options that control this resource's behavior.
    The following state arguments are supported:
    AsScheduleId string
    ID of the resource.
    DesiredCapacity double
    The desired number of CVM instances that should be running in the group.
    EndTime string
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    MaxSize double
    The maximum size for the Auto Scaling group.
    MinSize double
    The minimum size for the Auto Scaling group.
    Recurrence string
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.
    ScalingGroupId string
    ID of a scaling group.
    ScheduleActionName string
    The name of this scaling action.
    StartTime string
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    AsScheduleId string
    ID of the resource.
    DesiredCapacity float64
    The desired number of CVM instances that should be running in the group.
    EndTime string
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    MaxSize float64
    The maximum size for the Auto Scaling group.
    MinSize float64
    The minimum size for the Auto Scaling group.
    Recurrence string
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.
    ScalingGroupId string
    ID of a scaling group.
    ScheduleActionName string
    The name of this scaling action.
    StartTime string
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    asScheduleId String
    ID of the resource.
    desiredCapacity Double
    The desired number of CVM instances that should be running in the group.
    endTime String
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    maxSize Double
    The maximum size for the Auto Scaling group.
    minSize Double
    The minimum size for the Auto Scaling group.
    recurrence String
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.
    scalingGroupId String
    ID of a scaling group.
    scheduleActionName String
    The name of this scaling action.
    startTime String
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    asScheduleId string
    ID of the resource.
    desiredCapacity number
    The desired number of CVM instances that should be running in the group.
    endTime string
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    maxSize number
    The maximum size for the Auto Scaling group.
    minSize number
    The minimum size for the Auto Scaling group.
    recurrence string
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.
    scalingGroupId string
    ID of a scaling group.
    scheduleActionName string
    The name of this scaling action.
    startTime string
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    as_schedule_id str
    ID of the resource.
    desired_capacity float
    The desired number of CVM instances that should be running in the group.
    end_time str
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    max_size float
    The maximum size for the Auto Scaling group.
    min_size float
    The minimum size for the Auto Scaling group.
    recurrence str
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.
    scaling_group_id str
    ID of a scaling group.
    schedule_action_name str
    The name of this scaling action.
    start_time str
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    asScheduleId String
    ID of the resource.
    desiredCapacity Number
    The desired number of CVM instances that should be running in the group.
    endTime String
    The time for this action to end, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).
    maxSize Number
    The maximum size for the Auto Scaling group.
    minSize Number
    The minimum size for the Auto Scaling group.
    recurrence String
    The time when recurring future actions will start. Start time is specified by the user following the Unix cron syntax format. And this argument should be set with end_time together.
    scalingGroupId String
    ID of a scaling group.
    scheduleActionName String
    The name of this scaling action.
    startTime String
    The time for this action to start, in "YYYY-MM-DDThh:mm:ss+08:00" format (UTC+8).

    Package Details

    Repository
    tencentcloud tencentcloudstack/terraform-provider-tencentcloud
    License
    Notes
    This Pulumi package is based on the tencentcloud Terraform Provider.
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    tencentcloud 1.81.189 published on Wednesday, Apr 30, 2025 by tencentcloudstack