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tencentcloud 1.82.29 published on Friday, Oct 10, 2025 by tencentcloudstack

tencentcloud.DlcStandardEngineResourceGroup

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tencentcloud 1.82.29 published on Friday, Oct 10, 2025 by tencentcloudstack

    Provides a resource to create a DLC standard engine resource group

    NOTE: If you are creating a machine learning resource group for the first time, you need to contact DLC product for whitelisting.

    NOTE: Field auto_pause_time is meaningful only when the values ​​of fields auto_launch and auto_pause are 0.

    Example Usage

    Only SQL analysis resource group

    import * as pulumi from "@pulumi/pulumi";
    import * as tencentcloud from "@pulumi/tencentcloud";
    
    const example = new tencentcloud.DlcStandardEngineResourceGroup("example", {
        autoLaunch: 0,
        autoPause: 0,
        autoPauseTime: 10,
        dataEngineName: "tf-engine",
        dynamicConfigPairs: [{
            configItem: "key",
            configValue: "value",
        }],
        engineResourceGroupName: "tf-example",
        maxConcurrency: 5,
        resourceGroupScene: "SparkSQL",
        sparkSize: 16,
        sparkSpecMode: "fast",
        staticConfigPairs: [{
            configItem: "key",
            configValue: "value",
        }],
    });
    
    import pulumi
    import pulumi_tencentcloud as tencentcloud
    
    example = tencentcloud.DlcStandardEngineResourceGroup("example",
        auto_launch=0,
        auto_pause=0,
        auto_pause_time=10,
        data_engine_name="tf-engine",
        dynamic_config_pairs=[{
            "config_item": "key",
            "config_value": "value",
        }],
        engine_resource_group_name="tf-example",
        max_concurrency=5,
        resource_group_scene="SparkSQL",
        spark_size=16,
        spark_spec_mode="fast",
        static_config_pairs=[{
            "config_item": "key",
            "config_value": "value",
        }])
    
    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 {
    		_, err := tencentcloud.NewDlcStandardEngineResourceGroup(ctx, "example", &tencentcloud.DlcStandardEngineResourceGroupArgs{
    			AutoLaunch:     pulumi.Float64(0),
    			AutoPause:      pulumi.Float64(0),
    			AutoPauseTime:  pulumi.Float64(10),
    			DataEngineName: pulumi.String("tf-engine"),
    			DynamicConfigPairs: tencentcloud.DlcStandardEngineResourceGroupDynamicConfigPairArray{
    				&tencentcloud.DlcStandardEngineResourceGroupDynamicConfigPairArgs{
    					ConfigItem:  pulumi.String("key"),
    					ConfigValue: pulumi.String("value"),
    				},
    			},
    			EngineResourceGroupName: pulumi.String("tf-example"),
    			MaxConcurrency:          pulumi.Float64(5),
    			ResourceGroupScene:      pulumi.String("SparkSQL"),
    			SparkSize:               pulumi.Float64(16),
    			SparkSpecMode:           pulumi.String("fast"),
    			StaticConfigPairs: tencentcloud.DlcStandardEngineResourceGroupStaticConfigPairArray{
    				&tencentcloud.DlcStandardEngineResourceGroupStaticConfigPairArgs{
    					ConfigItem:  pulumi.String("key"),
    					ConfigValue: pulumi.String("value"),
    				},
    			},
    		})
    		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 example = new Tencentcloud.DlcStandardEngineResourceGroup("example", new()
        {
            AutoLaunch = 0,
            AutoPause = 0,
            AutoPauseTime = 10,
            DataEngineName = "tf-engine",
            DynamicConfigPairs = new[]
            {
                new Tencentcloud.Inputs.DlcStandardEngineResourceGroupDynamicConfigPairArgs
                {
                    ConfigItem = "key",
                    ConfigValue = "value",
                },
            },
            EngineResourceGroupName = "tf-example",
            MaxConcurrency = 5,
            ResourceGroupScene = "SparkSQL",
            SparkSize = 16,
            SparkSpecMode = "fast",
            StaticConfigPairs = new[]
            {
                new Tencentcloud.Inputs.DlcStandardEngineResourceGroupStaticConfigPairArgs
                {
                    ConfigItem = "key",
                    ConfigValue = "value",
                },
            },
        });
    
    });
    
    package generated_program;
    
    import com.pulumi.Context;
    import com.pulumi.Pulumi;
    import com.pulumi.core.Output;
    import com.pulumi.tencentcloud.DlcStandardEngineResourceGroup;
    import com.pulumi.tencentcloud.DlcStandardEngineResourceGroupArgs;
    import com.pulumi.tencentcloud.inputs.DlcStandardEngineResourceGroupDynamicConfigPairArgs;
    import com.pulumi.tencentcloud.inputs.DlcStandardEngineResourceGroupStaticConfigPairArgs;
    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) {
            var example = new DlcStandardEngineResourceGroup("example", DlcStandardEngineResourceGroupArgs.builder()
                .autoLaunch(0)
                .autoPause(0)
                .autoPauseTime(10)
                .dataEngineName("tf-engine")
                .dynamicConfigPairs(DlcStandardEngineResourceGroupDynamicConfigPairArgs.builder()
                    .configItem("key")
                    .configValue("value")
                    .build())
                .engineResourceGroupName("tf-example")
                .maxConcurrency(5)
                .resourceGroupScene("SparkSQL")
                .sparkSize(16)
                .sparkSpecMode("fast")
                .staticConfigPairs(DlcStandardEngineResourceGroupStaticConfigPairArgs.builder()
                    .configItem("key")
                    .configValue("value")
                    .build())
                .build());
    
        }
    }
    
    resources:
      example:
        type: tencentcloud:DlcStandardEngineResourceGroup
        properties:
          autoLaunch: 0
          autoPause: 0
          autoPauseTime: 10
          dataEngineName: tf-engine
          dynamicConfigPairs:
            - configItem: key
              configValue: value
          engineResourceGroupName: tf-example
          maxConcurrency: 5
          resourceGroupScene: SparkSQL
          sparkSize: 16
          sparkSpecMode: fast
          staticConfigPairs:
            - configItem: key
              configValue: value
    

    Machine learning resource group

    import * as pulumi from "@pulumi/pulumi";
    import * as tencentcloud from "@pulumi/tencentcloud";
    
    const example = new tencentcloud.DlcStandardEngineResourceGroup("example", {
        dataEngineName: "tf-engine",
        engineResourceGroupName: "tf-example",
        frameType: "machine-learning",
        imageName: "pytorch-v2.5.1",
        imageType: "built-in",
        imageVersion: "97319759-0b80-48b4-a7a7-436d9ef3b666",
        maxConcurrency: 5,
        pythonCuSpec: "large",
        resourceGroupScene: "Artificial-Intelligence",
        size: 16,
        sparkSize: 16,
        sparkSpecMode: "fast",
    });
    
    import pulumi
    import pulumi_tencentcloud as tencentcloud
    
    example = tencentcloud.DlcStandardEngineResourceGroup("example",
        data_engine_name="tf-engine",
        engine_resource_group_name="tf-example",
        frame_type="machine-learning",
        image_name="pytorch-v2.5.1",
        image_type="built-in",
        image_version="97319759-0b80-48b4-a7a7-436d9ef3b666",
        max_concurrency=5,
        python_cu_spec="large",
        resource_group_scene="Artificial-Intelligence",
        size=16,
        spark_size=16,
        spark_spec_mode="fast")
    
    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 {
    		_, err := tencentcloud.NewDlcStandardEngineResourceGroup(ctx, "example", &tencentcloud.DlcStandardEngineResourceGroupArgs{
    			DataEngineName:          pulumi.String("tf-engine"),
    			EngineResourceGroupName: pulumi.String("tf-example"),
    			FrameType:               pulumi.String("machine-learning"),
    			ImageName:               pulumi.String("pytorch-v2.5.1"),
    			ImageType:               pulumi.String("built-in"),
    			ImageVersion:            pulumi.String("97319759-0b80-48b4-a7a7-436d9ef3b666"),
    			MaxConcurrency:          pulumi.Float64(5),
    			PythonCuSpec:            pulumi.String("large"),
    			ResourceGroupScene:      pulumi.String("Artificial-Intelligence"),
    			Size:                    pulumi.Float64(16),
    			SparkSize:               pulumi.Float64(16),
    			SparkSpecMode:           pulumi.String("fast"),
    		})
    		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 example = new Tencentcloud.DlcStandardEngineResourceGroup("example", new()
        {
            DataEngineName = "tf-engine",
            EngineResourceGroupName = "tf-example",
            FrameType = "machine-learning",
            ImageName = "pytorch-v2.5.1",
            ImageType = "built-in",
            ImageVersion = "97319759-0b80-48b4-a7a7-436d9ef3b666",
            MaxConcurrency = 5,
            PythonCuSpec = "large",
            ResourceGroupScene = "Artificial-Intelligence",
            Size = 16,
            SparkSize = 16,
            SparkSpecMode = "fast",
        });
    
    });
    
    package generated_program;
    
    import com.pulumi.Context;
    import com.pulumi.Pulumi;
    import com.pulumi.core.Output;
    import com.pulumi.tencentcloud.DlcStandardEngineResourceGroup;
    import com.pulumi.tencentcloud.DlcStandardEngineResourceGroupArgs;
    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) {
            var example = new DlcStandardEngineResourceGroup("example", DlcStandardEngineResourceGroupArgs.builder()
                .dataEngineName("tf-engine")
                .engineResourceGroupName("tf-example")
                .frameType("machine-learning")
                .imageName("pytorch-v2.5.1")
                .imageType("built-in")
                .imageVersion("97319759-0b80-48b4-a7a7-436d9ef3b666")
                .maxConcurrency(5)
                .pythonCuSpec("large")
                .resourceGroupScene("Artificial-Intelligence")
                .size(16)
                .sparkSize(16)
                .sparkSpecMode("fast")
                .build());
    
        }
    }
    
    resources:
      example:
        type: tencentcloud:DlcStandardEngineResourceGroup
        properties:
          dataEngineName: tf-engine
          engineResourceGroupName: tf-example
          frameType: machine-learning
          imageName: pytorch-v2.5.1
          imageType: built-in
          imageVersion: 97319759-0b80-48b4-a7a7-436d9ef3b666
          maxConcurrency: 5
          pythonCuSpec: large
          resourceGroupScene: Artificial-Intelligence
          size: 16
          sparkSize: 16
          sparkSpecMode: fast
    

    Create DlcStandardEngineResourceGroup Resource

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

    Constructor syntax

    new DlcStandardEngineResourceGroup(name: string, args: DlcStandardEngineResourceGroupArgs, opts?: CustomResourceOptions);
    @overload
    def DlcStandardEngineResourceGroup(resource_name: str,
                                       args: DlcStandardEngineResourceGroupArgs,
                                       opts: Optional[ResourceOptions] = None)
    
    @overload
    def DlcStandardEngineResourceGroup(resource_name: str,
                                       opts: Optional[ResourceOptions] = None,
                                       data_engine_name: Optional[str] = None,
                                       engine_resource_group_name: Optional[str] = None,
                                       image_version: Optional[str] = None,
                                       executor_cu_spec: Optional[str] = None,
                                       dlc_standard_engine_resource_group_id: Optional[str] = None,
                                       driver_cu_spec: Optional[str] = None,
                                       dynamic_config_pairs: Optional[Sequence[DlcStandardEngineResourceGroupDynamicConfigPairArgs]] = None,
                                       auto_pause: Optional[float] = None,
                                       max_concurrency: Optional[float] = None,
                                       frame_type: Optional[str] = None,
                                       image_name: Optional[str] = None,
                                       image_type: Optional[str] = None,
                                       auto_pause_time: Optional[float] = None,
                                       auto_launch: Optional[float] = None,
                                       python_cu_spec: Optional[str] = None,
                                       min_executor_nums: Optional[float] = None,
                                       network_config_names: Optional[Sequence[str]] = None,
                                       public_domain: Optional[str] = None,
                                       max_executor_nums: Optional[float] = None,
                                       region_name: Optional[str] = None,
                                       registry_id: Optional[str] = None,
                                       resource_group_scene: Optional[str] = None,
                                       size: Optional[float] = None,
                                       spark_size: Optional[float] = None,
                                       spark_spec_mode: Optional[str] = None,
                                       static_config_pairs: Optional[Sequence[DlcStandardEngineResourceGroupStaticConfigPairArgs]] = None)
    func NewDlcStandardEngineResourceGroup(ctx *Context, name string, args DlcStandardEngineResourceGroupArgs, opts ...ResourceOption) (*DlcStandardEngineResourceGroup, error)
    public DlcStandardEngineResourceGroup(string name, DlcStandardEngineResourceGroupArgs args, CustomResourceOptions? opts = null)
    public DlcStandardEngineResourceGroup(String name, DlcStandardEngineResourceGroupArgs args)
    public DlcStandardEngineResourceGroup(String name, DlcStandardEngineResourceGroupArgs args, CustomResourceOptions options)
    
    type: tencentcloud:DlcStandardEngineResourceGroup
    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 DlcStandardEngineResourceGroupArgs
    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 DlcStandardEngineResourceGroupArgs
    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 DlcStandardEngineResourceGroupArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args DlcStandardEngineResourceGroupArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args DlcStandardEngineResourceGroupArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    DlcStandardEngineResourceGroup 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 DlcStandardEngineResourceGroup resource accepts the following input properties:

    DataEngineName string
    Standard engine name.
    EngineResourceGroupName string
    Standard engine resource group name.
    AutoLaunch double
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    AutoPause double
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    AutoPauseTime double
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    DlcStandardEngineResourceGroupId string
    ID of the resource.
    DriverCuSpec string
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    DynamicConfigPairs List<DlcStandardEngineResourceGroupDynamicConfigPair>
    Dynamic parameters of the resource group, effective in the next task.
    ExecutorCuSpec string
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    FrameType string
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    ImageName string
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    ImageType string
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    ImageVersion string
    Image ID.
    MaxConcurrency double
    The number of concurrent tasks is 5 by default.
    MaxExecutorNums double
    Maximum number of executors.
    MinExecutorNums double
    Minimum number of executors.
    NetworkConfigNames List<string>
    Network configuration name.
    PublicDomain string
    Customized mirror domain name.
    PythonCuSpec string
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    RegionName string
    Custom image location.
    RegistryId string
    Custom image instance ID.
    ResourceGroupScene string
    Resource group scenario.
    Size double
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    SparkSize double
    Only the SQL resource group resource limit, only used for the express module.
    SparkSpecMode string
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    StaticConfigPairs List<DlcStandardEngineResourceGroupStaticConfigPair>
    Static parameters of the resource group, which require restarting the resource group to take effect.
    DataEngineName string
    Standard engine name.
    EngineResourceGroupName string
    Standard engine resource group name.
    AutoLaunch float64
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    AutoPause float64
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    AutoPauseTime float64
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    DlcStandardEngineResourceGroupId string
    ID of the resource.
    DriverCuSpec string
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    DynamicConfigPairs []DlcStandardEngineResourceGroupDynamicConfigPairArgs
    Dynamic parameters of the resource group, effective in the next task.
    ExecutorCuSpec string
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    FrameType string
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    ImageName string
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    ImageType string
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    ImageVersion string
    Image ID.
    MaxConcurrency float64
    The number of concurrent tasks is 5 by default.
    MaxExecutorNums float64
    Maximum number of executors.
    MinExecutorNums float64
    Minimum number of executors.
    NetworkConfigNames []string
    Network configuration name.
    PublicDomain string
    Customized mirror domain name.
    PythonCuSpec string
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    RegionName string
    Custom image location.
    RegistryId string
    Custom image instance ID.
    ResourceGroupScene string
    Resource group scenario.
    Size float64
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    SparkSize float64
    Only the SQL resource group resource limit, only used for the express module.
    SparkSpecMode string
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    StaticConfigPairs []DlcStandardEngineResourceGroupStaticConfigPairArgs
    Static parameters of the resource group, which require restarting the resource group to take effect.
    dataEngineName String
    Standard engine name.
    engineResourceGroupName String
    Standard engine resource group name.
    autoLaunch Double
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    autoPause Double
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    autoPauseTime Double
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    dlcStandardEngineResourceGroupId String
    ID of the resource.
    driverCuSpec String
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    dynamicConfigPairs List<DlcStandardEngineResourceGroupDynamicConfigPair>
    Dynamic parameters of the resource group, effective in the next task.
    executorCuSpec String
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    frameType String
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    imageName String
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    imageType String
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    imageVersion String
    Image ID.
    maxConcurrency Double
    The number of concurrent tasks is 5 by default.
    maxExecutorNums Double
    Maximum number of executors.
    minExecutorNums Double
    Minimum number of executors.
    networkConfigNames List<String>
    Network configuration name.
    publicDomain String
    Customized mirror domain name.
    pythonCuSpec String
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    regionName String
    Custom image location.
    registryId String
    Custom image instance ID.
    resourceGroupScene String
    Resource group scenario.
    size Double
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    sparkSize Double
    Only the SQL resource group resource limit, only used for the express module.
    sparkSpecMode String
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    staticConfigPairs List<DlcStandardEngineResourceGroupStaticConfigPair>
    Static parameters of the resource group, which require restarting the resource group to take effect.
    dataEngineName string
    Standard engine name.
    engineResourceGroupName string
    Standard engine resource group name.
    autoLaunch number
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    autoPause number
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    autoPauseTime number
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    dlcStandardEngineResourceGroupId string
    ID of the resource.
    driverCuSpec string
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    dynamicConfigPairs DlcStandardEngineResourceGroupDynamicConfigPair[]
    Dynamic parameters of the resource group, effective in the next task.
    executorCuSpec string
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    frameType string
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    imageName string
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    imageType string
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    imageVersion string
    Image ID.
    maxConcurrency number
    The number of concurrent tasks is 5 by default.
    maxExecutorNums number
    Maximum number of executors.
    minExecutorNums number
    Minimum number of executors.
    networkConfigNames string[]
    Network configuration name.
    publicDomain string
    Customized mirror domain name.
    pythonCuSpec string
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    regionName string
    Custom image location.
    registryId string
    Custom image instance ID.
    resourceGroupScene string
    Resource group scenario.
    size number
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    sparkSize number
    Only the SQL resource group resource limit, only used for the express module.
    sparkSpecMode string
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    staticConfigPairs DlcStandardEngineResourceGroupStaticConfigPair[]
    Static parameters of the resource group, which require restarting the resource group to take effect.
    data_engine_name str
    Standard engine name.
    engine_resource_group_name str
    Standard engine resource group name.
    auto_launch float
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    auto_pause float
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    auto_pause_time float
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    dlc_standard_engine_resource_group_id str
    ID of the resource.
    driver_cu_spec str
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    dynamic_config_pairs Sequence[DlcStandardEngineResourceGroupDynamicConfigPairArgs]
    Dynamic parameters of the resource group, effective in the next task.
    executor_cu_spec str
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    frame_type str
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    image_name str
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    image_type str
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    image_version str
    Image ID.
    max_concurrency float
    The number of concurrent tasks is 5 by default.
    max_executor_nums float
    Maximum number of executors.
    min_executor_nums float
    Minimum number of executors.
    network_config_names Sequence[str]
    Network configuration name.
    public_domain str
    Customized mirror domain name.
    python_cu_spec str
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    region_name str
    Custom image location.
    registry_id str
    Custom image instance ID.
    resource_group_scene str
    Resource group scenario.
    size float
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    spark_size float
    Only the SQL resource group resource limit, only used for the express module.
    spark_spec_mode str
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    static_config_pairs Sequence[DlcStandardEngineResourceGroupStaticConfigPairArgs]
    Static parameters of the resource group, which require restarting the resource group to take effect.
    dataEngineName String
    Standard engine name.
    engineResourceGroupName String
    Standard engine resource group name.
    autoLaunch Number
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    autoPause Number
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    autoPauseTime Number
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    dlcStandardEngineResourceGroupId String
    ID of the resource.
    driverCuSpec String
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    dynamicConfigPairs List<Property Map>
    Dynamic parameters of the resource group, effective in the next task.
    executorCuSpec String
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    frameType String
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    imageName String
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    imageType String
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    imageVersion String
    Image ID.
    maxConcurrency Number
    The number of concurrent tasks is 5 by default.
    maxExecutorNums Number
    Maximum number of executors.
    minExecutorNums Number
    Minimum number of executors.
    networkConfigNames List<String>
    Network configuration name.
    publicDomain String
    Customized mirror domain name.
    pythonCuSpec String
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    regionName String
    Custom image location.
    registryId String
    Custom image instance ID.
    resourceGroupScene String
    Resource group scenario.
    size Number
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    sparkSize Number
    Only the SQL resource group resource limit, only used for the express module.
    sparkSpecMode String
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    staticConfigPairs List<Property Map>
    Static parameters of the resource group, which require restarting the resource group to take effect.

    Outputs

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

    EngineResourceGroupId string
    Standard engine resource group ID.
    Id string
    The provider-assigned unique ID for this managed resource.
    EngineResourceGroupId string
    Standard engine resource group ID.
    Id string
    The provider-assigned unique ID for this managed resource.
    engineResourceGroupId String
    Standard engine resource group ID.
    id String
    The provider-assigned unique ID for this managed resource.
    engineResourceGroupId string
    Standard engine resource group ID.
    id string
    The provider-assigned unique ID for this managed resource.
    engine_resource_group_id str
    Standard engine resource group ID.
    id str
    The provider-assigned unique ID for this managed resource.
    engineResourceGroupId String
    Standard engine resource group ID.
    id String
    The provider-assigned unique ID for this managed resource.

    Look up Existing DlcStandardEngineResourceGroup Resource

    Get an existing DlcStandardEngineResourceGroup 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?: DlcStandardEngineResourceGroupState, opts?: CustomResourceOptions): DlcStandardEngineResourceGroup
    @staticmethod
    def get(resource_name: str,
            id: str,
            opts: Optional[ResourceOptions] = None,
            auto_launch: Optional[float] = None,
            auto_pause: Optional[float] = None,
            auto_pause_time: Optional[float] = None,
            data_engine_name: Optional[str] = None,
            dlc_standard_engine_resource_group_id: Optional[str] = None,
            driver_cu_spec: Optional[str] = None,
            dynamic_config_pairs: Optional[Sequence[DlcStandardEngineResourceGroupDynamicConfigPairArgs]] = None,
            engine_resource_group_id: Optional[str] = None,
            engine_resource_group_name: Optional[str] = None,
            executor_cu_spec: Optional[str] = None,
            frame_type: Optional[str] = None,
            image_name: Optional[str] = None,
            image_type: Optional[str] = None,
            image_version: Optional[str] = None,
            max_concurrency: Optional[float] = None,
            max_executor_nums: Optional[float] = None,
            min_executor_nums: Optional[float] = None,
            network_config_names: Optional[Sequence[str]] = None,
            public_domain: Optional[str] = None,
            python_cu_spec: Optional[str] = None,
            region_name: Optional[str] = None,
            registry_id: Optional[str] = None,
            resource_group_scene: Optional[str] = None,
            size: Optional[float] = None,
            spark_size: Optional[float] = None,
            spark_spec_mode: Optional[str] = None,
            static_config_pairs: Optional[Sequence[DlcStandardEngineResourceGroupStaticConfigPairArgs]] = None) -> DlcStandardEngineResourceGroup
    func GetDlcStandardEngineResourceGroup(ctx *Context, name string, id IDInput, state *DlcStandardEngineResourceGroupState, opts ...ResourceOption) (*DlcStandardEngineResourceGroup, error)
    public static DlcStandardEngineResourceGroup Get(string name, Input<string> id, DlcStandardEngineResourceGroupState? state, CustomResourceOptions? opts = null)
    public static DlcStandardEngineResourceGroup get(String name, Output<String> id, DlcStandardEngineResourceGroupState state, CustomResourceOptions options)
    resources:  _:    type: tencentcloud:DlcStandardEngineResourceGroup    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:
    AutoLaunch double
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    AutoPause double
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    AutoPauseTime double
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    DataEngineName string
    Standard engine name.
    DlcStandardEngineResourceGroupId string
    ID of the resource.
    DriverCuSpec string
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    DynamicConfigPairs List<DlcStandardEngineResourceGroupDynamicConfigPair>
    Dynamic parameters of the resource group, effective in the next task.
    EngineResourceGroupId string
    Standard engine resource group ID.
    EngineResourceGroupName string
    Standard engine resource group name.
    ExecutorCuSpec string
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    FrameType string
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    ImageName string
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    ImageType string
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    ImageVersion string
    Image ID.
    MaxConcurrency double
    The number of concurrent tasks is 5 by default.
    MaxExecutorNums double
    Maximum number of executors.
    MinExecutorNums double
    Minimum number of executors.
    NetworkConfigNames List<string>
    Network configuration name.
    PublicDomain string
    Customized mirror domain name.
    PythonCuSpec string
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    RegionName string
    Custom image location.
    RegistryId string
    Custom image instance ID.
    ResourceGroupScene string
    Resource group scenario.
    Size double
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    SparkSize double
    Only the SQL resource group resource limit, only used for the express module.
    SparkSpecMode string
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    StaticConfigPairs List<DlcStandardEngineResourceGroupStaticConfigPair>
    Static parameters of the resource group, which require restarting the resource group to take effect.
    AutoLaunch float64
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    AutoPause float64
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    AutoPauseTime float64
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    DataEngineName string
    Standard engine name.
    DlcStandardEngineResourceGroupId string
    ID of the resource.
    DriverCuSpec string
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    DynamicConfigPairs []DlcStandardEngineResourceGroupDynamicConfigPairArgs
    Dynamic parameters of the resource group, effective in the next task.
    EngineResourceGroupId string
    Standard engine resource group ID.
    EngineResourceGroupName string
    Standard engine resource group name.
    ExecutorCuSpec string
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    FrameType string
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    ImageName string
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    ImageType string
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    ImageVersion string
    Image ID.
    MaxConcurrency float64
    The number of concurrent tasks is 5 by default.
    MaxExecutorNums float64
    Maximum number of executors.
    MinExecutorNums float64
    Minimum number of executors.
    NetworkConfigNames []string
    Network configuration name.
    PublicDomain string
    Customized mirror domain name.
    PythonCuSpec string
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    RegionName string
    Custom image location.
    RegistryId string
    Custom image instance ID.
    ResourceGroupScene string
    Resource group scenario.
    Size float64
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    SparkSize float64
    Only the SQL resource group resource limit, only used for the express module.
    SparkSpecMode string
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    StaticConfigPairs []DlcStandardEngineResourceGroupStaticConfigPairArgs
    Static parameters of the resource group, which require restarting the resource group to take effect.
    autoLaunch Double
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    autoPause Double
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    autoPauseTime Double
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    dataEngineName String
    Standard engine name.
    dlcStandardEngineResourceGroupId String
    ID of the resource.
    driverCuSpec String
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    dynamicConfigPairs List<DlcStandardEngineResourceGroupDynamicConfigPair>
    Dynamic parameters of the resource group, effective in the next task.
    engineResourceGroupId String
    Standard engine resource group ID.
    engineResourceGroupName String
    Standard engine resource group name.
    executorCuSpec String
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    frameType String
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    imageName String
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    imageType String
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    imageVersion String
    Image ID.
    maxConcurrency Double
    The number of concurrent tasks is 5 by default.
    maxExecutorNums Double
    Maximum number of executors.
    minExecutorNums Double
    Minimum number of executors.
    networkConfigNames List<String>
    Network configuration name.
    publicDomain String
    Customized mirror domain name.
    pythonCuSpec String
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    regionName String
    Custom image location.
    registryId String
    Custom image instance ID.
    resourceGroupScene String
    Resource group scenario.
    size Double
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    sparkSize Double
    Only the SQL resource group resource limit, only used for the express module.
    sparkSpecMode String
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    staticConfigPairs List<DlcStandardEngineResourceGroupStaticConfigPair>
    Static parameters of the resource group, which require restarting the resource group to take effect.
    autoLaunch number
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    autoPause number
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    autoPauseTime number
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    dataEngineName string
    Standard engine name.
    dlcStandardEngineResourceGroupId string
    ID of the resource.
    driverCuSpec string
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    dynamicConfigPairs DlcStandardEngineResourceGroupDynamicConfigPair[]
    Dynamic parameters of the resource group, effective in the next task.
    engineResourceGroupId string
    Standard engine resource group ID.
    engineResourceGroupName string
    Standard engine resource group name.
    executorCuSpec string
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    frameType string
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    imageName string
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    imageType string
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    imageVersion string
    Image ID.
    maxConcurrency number
    The number of concurrent tasks is 5 by default.
    maxExecutorNums number
    Maximum number of executors.
    minExecutorNums number
    Minimum number of executors.
    networkConfigNames string[]
    Network configuration name.
    publicDomain string
    Customized mirror domain name.
    pythonCuSpec string
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    regionName string
    Custom image location.
    registryId string
    Custom image instance ID.
    resourceGroupScene string
    Resource group scenario.
    size number
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    sparkSize number
    Only the SQL resource group resource limit, only used for the express module.
    sparkSpecMode string
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    staticConfigPairs DlcStandardEngineResourceGroupStaticConfigPair[]
    Static parameters of the resource group, which require restarting the resource group to take effect.
    auto_launch float
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    auto_pause float
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    auto_pause_time float
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    data_engine_name str
    Standard engine name.
    dlc_standard_engine_resource_group_id str
    ID of the resource.
    driver_cu_spec str
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    dynamic_config_pairs Sequence[DlcStandardEngineResourceGroupDynamicConfigPairArgs]
    Dynamic parameters of the resource group, effective in the next task.
    engine_resource_group_id str
    Standard engine resource group ID.
    engine_resource_group_name str
    Standard engine resource group name.
    executor_cu_spec str
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    frame_type str
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    image_name str
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    image_type str
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    image_version str
    Image ID.
    max_concurrency float
    The number of concurrent tasks is 5 by default.
    max_executor_nums float
    Maximum number of executors.
    min_executor_nums float
    Minimum number of executors.
    network_config_names Sequence[str]
    Network configuration name.
    public_domain str
    Customized mirror domain name.
    python_cu_spec str
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    region_name str
    Custom image location.
    registry_id str
    Custom image instance ID.
    resource_group_scene str
    Resource group scenario.
    size float
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    spark_size float
    Only the SQL resource group resource limit, only used for the express module.
    spark_spec_mode str
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    static_config_pairs Sequence[DlcStandardEngineResourceGroupStaticConfigPairArgs]
    Static parameters of the resource group, which require restarting the resource group to take effect.
    autoLaunch Number
    Automatic start (task submission automatically pulls up the resource group) 0-automatic start, 1-not automatic start.
    autoPause Number
    Automatically suspend resource groups. 0 - Automatically suspend, 1 - Not automatically suspend.
    autoPauseTime Number
    Automatic suspension time, in minutes, with a value range of 1-999 (after no tasks have reached AutoPauseTime, the resource group will automatically suspend).
    dataEngineName String
    Standard engine name.
    dlcStandardEngineResourceGroupId String
    ID of the resource.
    driverCuSpec String
    Driver CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    dynamicConfigPairs List<Property Map>
    Dynamic parameters of the resource group, effective in the next task.
    engineResourceGroupId String
    Standard engine resource group ID.
    engineResourceGroupName String
    Standard engine resource group name.
    executorCuSpec String
    Executor CU specifications: Currently supported: small (default, 1 CU), medium (2 CU), large (4 CU), xlarge (8 CU). Memory CUs are CPUs with a ratio of 1:8, m.small (1 CU memory), m.medium (2 CU memory), m.large (4 CU memory), and m.xlarge (8 CU memory).
    frameType String
    The framework type of the AI type resource group, machine-learning, python, spark-ml, if not filled in, the default is machine-learning.
    imageName String
    Image Name. Example value: image-xxx. If using a built-in image (ImageType is built-in), the ImageName for different frameworks is: machine-learning: pytorch-v2.5.1, scikit-learn-v1.6.0, tensorflow-v2.18.0, python: python-v3.10, spark-m: Standard-S 1.1.
    imageType String
    Image type, build-in: built-in, custom: custom, if not filled in, the default is build-in.
    imageVersion String
    Image ID.
    maxConcurrency Number
    The number of concurrent tasks is 5 by default.
    maxExecutorNums Number
    Maximum number of executors.
    minExecutorNums Number
    Minimum number of executors.
    networkConfigNames List<String>
    Network configuration name.
    publicDomain String
    Customized mirror domain name.
    pythonCuSpec String
    The resource limit for a Python stand-alone node in a Python resource group must be smaller than the resource limit for the resource group. Small: 1cu Medium: 2cu Large: 4cu Xlarge: 8cu 4xlarge: 16cu 8xlarge: 32cu 16xlarge: 64cu. If the resource type is high memory, add m before the type.
    regionName String
    Custom image location.
    registryId String
    Custom image instance ID.
    resourceGroupScene String
    Resource group scenario.
    size Number
    The AI resource group is valid, and the upper limit of available resources in the resource group must be less than the upper limit of engine resources.
    sparkSize Number
    Only the SQL resource group resource limit, only used for the express module.
    sparkSpecMode String
    Only SQL resource group resource configuration mode, fast: fast mode, custom: custom mode.
    staticConfigPairs List<Property Map>
    Static parameters of the resource group, which require restarting the resource group to take effect.

    Supporting Types

    DlcStandardEngineResourceGroupDynamicConfigPair, DlcStandardEngineResourceGroupDynamicConfigPairArgs

    ConfigItem string
    Configuration items.
    ConfigValue string
    Configuration values.
    ConfigItem string
    Configuration items.
    ConfigValue string
    Configuration values.
    configItem String
    Configuration items.
    configValue String
    Configuration values.
    configItem string
    Configuration items.
    configValue string
    Configuration values.
    config_item str
    Configuration items.
    config_value str
    Configuration values.
    configItem String
    Configuration items.
    configValue String
    Configuration values.

    DlcStandardEngineResourceGroupStaticConfigPair, DlcStandardEngineResourceGroupStaticConfigPairArgs

    ConfigItem string
    Configuration items.
    ConfigValue string
    Configuration values.
    ConfigItem string
    Configuration items.
    ConfigValue string
    Configuration values.
    configItem String
    Configuration items.
    configValue String
    Configuration values.
    configItem string
    Configuration items.
    configValue string
    Configuration values.
    config_item str
    Configuration items.
    config_value str
    Configuration values.
    configItem String
    Configuration items.
    configValue String
    Configuration values.

    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 1.82.29 published on Friday, Oct 10, 2025 by tencentcloudstack
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