1. Packages
  2. Tencentcloud Provider
  3. API Docs
  4. getDlcDescribeUpdatableDataEngines
tencentcloud 1.82.35 published on Friday, Nov 7, 2025 by tencentcloudstack
tencentcloudstack/terraform-provider-tencentcloud

tencentcloud.getDlcDescribeUpdatableDataEngines

Start a Neo task
Explain and create a tencentcloud.getDlcDescribeUpdatableDataEngines resource
tencentcloud logo
tencentcloud 1.82.35 published on Friday, Nov 7, 2025 by tencentcloudstack
tencentcloudstack/terraform-provider-tencentcloud

    Use this data source to query detailed information of DLC describe updatable data engines

    Example Usage

    import * as pulumi from "@pulumi/pulumi";
import * as tencentcloud from "@pulumi/tencentcloud";

const example = tencentcloud.getDlcDescribeUpdatableDataEngines({
    dataEngineConfigCommand: "UpdateSparkSQLLakefsPath",
});

    import pulumi
import pulumi_tencentcloud as tencentcloud

example = tencentcloud.get_dlc_describe_updatable_data_engines(data_engine_config_command="UpdateSparkSQLLakefsPath")

    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.GetDlcDescribeUpdatableDataEngines(ctx, &tencentcloud.GetDlcDescribeUpdatableDataEnginesArgs{
			DataEngineConfigCommand: "UpdateSparkSQLLakefsPath",
		}, nil)
		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 = Tencentcloud.GetDlcDescribeUpdatableDataEngines.Invoke(new()
    {
        DataEngineConfigCommand = "UpdateSparkSQLLakefsPath",
    });

});

    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.GetDlcDescribeUpdatableDataEnginesArgs;
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 example = TencentcloudFunctions.getDlcDescribeUpdatableDataEngines(GetDlcDescribeUpdatableDataEnginesArgs.builder()
            .dataEngineConfigCommand("UpdateSparkSQLLakefsPath")
            .build());

    }
}

    variables:
  example:
    fn::invoke:
      function: tencentcloud:getDlcDescribeUpdatableDataEngines
      arguments:
        dataEngineConfigCommand: UpdateSparkSQLLakefsPath

    Or

    import * as pulumi from "@pulumi/pulumi";
import * as tencentcloud from "@pulumi/tencentcloud";

const example = tencentcloud.getDlcDescribeUpdatableDataEngines({
    dataEngineConfigCommand: "UpdateSparkSQLResultPath",
});

    import pulumi
import pulumi_tencentcloud as tencentcloud

example = tencentcloud.get_dlc_describe_updatable_data_engines(data_engine_config_command="UpdateSparkSQLResultPath")

    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.GetDlcDescribeUpdatableDataEngines(ctx, &tencentcloud.GetDlcDescribeUpdatableDataEnginesArgs{
			DataEngineConfigCommand: "UpdateSparkSQLResultPath",
		}, nil)
		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 = Tencentcloud.GetDlcDescribeUpdatableDataEngines.Invoke(new()
    {
        DataEngineConfigCommand = "UpdateSparkSQLResultPath",
    });

});

    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.GetDlcDescribeUpdatableDataEnginesArgs;
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 example = TencentcloudFunctions.getDlcDescribeUpdatableDataEngines(GetDlcDescribeUpdatableDataEnginesArgs.builder()
            .dataEngineConfigCommand("UpdateSparkSQLResultPath")
            .build());

    }
}

    variables:
  example:
    fn::invoke:
      function: tencentcloud:getDlcDescribeUpdatableDataEngines
      arguments:
        dataEngineConfigCommand: UpdateSparkSQLResultPath

    Using getDlcDescribeUpdatableDataEngines

    Two invocation forms are available. The direct form accepts plain arguments and either blocks until the result value is available, or returns a Promise-wrapped result. The output form accepts Input-wrapped arguments and returns an Output-wrapped result.

    function getDlcDescribeUpdatableDataEngines(args: GetDlcDescribeUpdatableDataEnginesArgs, opts?: InvokeOptions): Promise<GetDlcDescribeUpdatableDataEnginesResult>
function getDlcDescribeUpdatableDataEnginesOutput(args: GetDlcDescribeUpdatableDataEnginesOutputArgs, opts?: InvokeOptions): Output<GetDlcDescribeUpdatableDataEnginesResult>
    def get_dlc_describe_updatable_data_engines(data_engine_config_command: Optional[str] = None,
                                            id: Optional[str] = None,
                                            result_output_file: Optional[str] = None,
                                            opts: Optional[InvokeOptions] = None) -> GetDlcDescribeUpdatableDataEnginesResult
def get_dlc_describe_updatable_data_engines_output(data_engine_config_command: Optional[pulumi.Input[str]] = None,
                                            id: Optional[pulumi.Input[str]] = None,
                                            result_output_file: Optional[pulumi.Input[str]] = None,
                                            opts: Optional[InvokeOptions] = None) -> Output[GetDlcDescribeUpdatableDataEnginesResult]
    func GetDlcDescribeUpdatableDataEngines(ctx *Context, args *GetDlcDescribeUpdatableDataEnginesArgs, opts ...InvokeOption) (*GetDlcDescribeUpdatableDataEnginesResult, error)
func GetDlcDescribeUpdatableDataEnginesOutput(ctx *Context, args *GetDlcDescribeUpdatableDataEnginesOutputArgs, opts ...InvokeOption) GetDlcDescribeUpdatableDataEnginesResultOutput

    > Note: This function is named GetDlcDescribeUpdatableDataEngines in the Go SDK.

    public static class GetDlcDescribeUpdatableDataEngines 
{
    public static Task<GetDlcDescribeUpdatableDataEnginesResult> InvokeAsync(GetDlcDescribeUpdatableDataEnginesArgs args, InvokeOptions? opts = null)
    public static Output<GetDlcDescribeUpdatableDataEnginesResult> Invoke(GetDlcDescribeUpdatableDataEnginesInvokeArgs args, InvokeOptions? opts = null)
}
    public static CompletableFuture<GetDlcDescribeUpdatableDataEnginesResult> getDlcDescribeUpdatableDataEngines(GetDlcDescribeUpdatableDataEnginesArgs args, InvokeOptions options)
public static Output<GetDlcDescribeUpdatableDataEnginesResult> getDlcDescribeUpdatableDataEngines(GetDlcDescribeUpdatableDataEnginesArgs args, InvokeOptions options)

    fn::invoke:
  function: tencentcloud:index/getDlcDescribeUpdatableDataEngines:getDlcDescribeUpdatableDataEngines
  arguments:
    # arguments dictionary

    The following arguments are supported:

    DataEngineConfigCommand string
    Operation commands of engine configuration. UpdateSparkSQLLakefsPath updates the path of managed tables, and UpdateSparkSQLResultPath updates the path of result buckets.
    Id string
    ResultOutputFile string
    Used to save results.
    DataEngineConfigCommand string
    Operation commands of engine configuration. UpdateSparkSQLLakefsPath updates the path of managed tables, and UpdateSparkSQLResultPath updates the path of result buckets.
    Id string
    ResultOutputFile string
    Used to save results.
    dataEngineConfigCommand String
    Operation commands of engine configuration. UpdateSparkSQLLakefsPath updates the path of managed tables, and UpdateSparkSQLResultPath updates the path of result buckets.
    id String
    resultOutputFile String
    Used to save results.
    dataEngineConfigCommand string
    Operation commands of engine configuration. UpdateSparkSQLLakefsPath updates the path of managed tables, and UpdateSparkSQLResultPath updates the path of result buckets.
    id string
    resultOutputFile string
    Used to save results.
    data_engine_config_command str
    Operation commands of engine configuration. UpdateSparkSQLLakefsPath updates the path of managed tables, and UpdateSparkSQLResultPath updates the path of result buckets.
    id str
    result_output_file str
    Used to save results.
    dataEngineConfigCommand String
    Operation commands of engine configuration. UpdateSparkSQLLakefsPath updates the path of managed tables, and UpdateSparkSQLResultPath updates the path of result buckets.
    id String
    resultOutputFile String
    Used to save results.

    getDlcDescribeUpdatableDataEngines Result

    The following output properties are available:

    Supporting Types

    GetDlcDescribeUpdatableDataEnginesDataEngineBasicInfo

    AppId double
    User ID.
    CreateTime double
    Create time.
    DataEngineId string
    Engine ID.
    DataEngineName string
    DataEngine name.
    DataEngineType string
    Engine types, and the valid values are PrestoSQL, SparkSQL, and SparkBatch.
    Message string
    Returned information.
    State double
    EData engine status: -2: deleted; -1: failed; 0: initializing; 1: suspended; 2: running; 3: ready to delete; 4: deleting.
    UpdateTime double
    Update time.
    UserUin string
    Account uin.
    AppId float64
    User ID.
    CreateTime float64
    Create time.
    DataEngineId string
    Engine ID.
    DataEngineName string
    DataEngine name.
    DataEngineType string
    Engine types, and the valid values are PrestoSQL, SparkSQL, and SparkBatch.
    Message string
    Returned information.
    State float64
    EData engine status: -2: deleted; -1: failed; 0: initializing; 1: suspended; 2: running; 3: ready to delete; 4: deleting.
    UpdateTime float64
    Update time.
    UserUin string
    Account uin.
    appId Double
    User ID.
    createTime Double
    Create time.
    dataEngineId String
    Engine ID.
    dataEngineName String
    DataEngine name.
    dataEngineType String
    Engine types, and the valid values are PrestoSQL, SparkSQL, and SparkBatch.
    message String
    Returned information.
    state Double
    EData engine status: -2: deleted; -1: failed; 0: initializing; 1: suspended; 2: running; 3: ready to delete; 4: deleting.
    updateTime Double
    Update time.
    userUin String
    Account uin.
    appId number
    User ID.
    createTime number
    Create time.
    dataEngineId string
    Engine ID.
    dataEngineName string
    DataEngine name.
    dataEngineType string
    Engine types, and the valid values are PrestoSQL, SparkSQL, and SparkBatch.
    message string
    Returned information.
    state number
    EData engine status: -2: deleted; -1: failed; 0: initializing; 1: suspended; 2: running; 3: ready to delete; 4: deleting.
    updateTime number
    Update time.
    userUin string
    Account uin.
    app_id float
    User ID.
    create_time float
    Create time.
    data_engine_id str
    Engine ID.
    data_engine_name str
    DataEngine name.
    data_engine_type str
    Engine types, and the valid values are PrestoSQL, SparkSQL, and SparkBatch.
    message str
    Returned information.
    state float
    EData engine status: -2: deleted; -1: failed; 0: initializing; 1: suspended; 2: running; 3: ready to delete; 4: deleting.
    update_time float
    Update time.
    user_uin str
    Account uin.
    appId Number
    User ID.
    createTime Number
    Create time.
    dataEngineId String
    Engine ID.
    dataEngineName String
    DataEngine name.
    dataEngineType String
    Engine types, and the valid values are PrestoSQL, SparkSQL, and SparkBatch.
    message String
    Returned information.
    state Number
    EData engine status: -2: deleted; -1: failed; 0: initializing; 1: suspended; 2: running; 3: ready to delete; 4: deleting.
    updateTime Number
    Update time.
    userUin String
    Account uin.

    Package Details

    Repository
    tencentcloud tencentcloudstack/terraform-provider-tencentcloud
    License
    Notes
    This Pulumi package is based on the tencentcloud Terraform Provider.
    tencentcloud logo
    tencentcloud 1.82.35 published on Friday, Nov 7, 2025 by tencentcloudstack
    tencentcloudstack/terraform-provider-tencentcloud
      Meet Neo: Your AI Platform Teammate