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Azure v6.21.0 published on Friday, Mar 7, 2025 by Pulumi
pulumi/pulumi-azure

azure.datafactory.IntegrationRuntimeRule

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Azure v6.21.0 published on Friday, Mar 7, 2025 by Pulumi
pulumi/pulumi-azure

    Manages a Data Factory Azure Integration Runtime.

    Example Usage

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

const example = new azure.core.ResourceGroup("example", {
    name: "example-resources",
    location: "West Europe",
});
const exampleFactory = new azure.datafactory.Factory("example", {
    name: "example",
    location: example.location,
    resourceGroupName: example.name,
});
const exampleIntegrationRuntimeRule = new azure.datafactory.IntegrationRuntimeRule("example", {
    name: "example",
    dataFactoryId: exampleFactory.id,
    location: example.location,
});

    import pulumi
import pulumi_azure as azure

example = azure.core.ResourceGroup("example",
    name="example-resources",
    location="West Europe")
example_factory = azure.datafactory.Factory("example",
    name="example",
    location=example.location,
    resource_group_name=example.name)
example_integration_runtime_rule = azure.datafactory.IntegrationRuntimeRule("example",
    name="example",
    data_factory_id=example_factory.id,
    location=example.location)

    package main

import (
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/core"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/datafactory"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		example, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
			Name:     pulumi.String("example-resources"),
			Location: pulumi.String("West Europe"),
		})
		if err != nil {
			return err
		}
		exampleFactory, err := datafactory.NewFactory(ctx, "example", &datafactory.FactoryArgs{
			Name:              pulumi.String("example"),
			Location:          example.Location,
			ResourceGroupName: example.Name,
		})
		if err != nil {
			return err
		}
		_, err = datafactory.NewIntegrationRuntimeRule(ctx, "example", &datafactory.IntegrationRuntimeRuleArgs{
			Name:          pulumi.String("example"),
			DataFactoryId: exampleFactory.ID(),
			Location:      example.Location,
		})
		if err != nil {
			return err
		}
		return nil
	})
}

    using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;

return await Deployment.RunAsync(() => 
{
    var example = new Azure.Core.ResourceGroup("example", new()
    {
        Name = "example-resources",
        Location = "West Europe",
    });

    var exampleFactory = new Azure.DataFactory.Factory("example", new()
    {
        Name = "example",
        Location = example.Location,
        ResourceGroupName = example.Name,
    });

    var exampleIntegrationRuntimeRule = new Azure.DataFactory.IntegrationRuntimeRule("example", new()
    {
        Name = "example",
        DataFactoryId = exampleFactory.Id,
        Location = example.Location,
    });

});

    package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.core.ResourceGroup;
import com.pulumi.azure.core.ResourceGroupArgs;
import com.pulumi.azure.datafactory.Factory;
import com.pulumi.azure.datafactory.FactoryArgs;
import com.pulumi.azure.datafactory.IntegrationRuntimeRule;
import com.pulumi.azure.datafactory.IntegrationRuntimeRuleArgs;
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 ResourceGroup("example", ResourceGroupArgs.builder()
            .name("example-resources")
            .location("West Europe")
            .build());

        var exampleFactory = new Factory("exampleFactory", FactoryArgs.builder()
            .name("example")
            .location(example.location())
            .resourceGroupName(example.name())
            .build());

        var exampleIntegrationRuntimeRule = new IntegrationRuntimeRule("exampleIntegrationRuntimeRule", IntegrationRuntimeRuleArgs.builder()
            .name("example")
            .dataFactoryId(exampleFactory.id())
            .location(example.location())
            .build());

    }
}

    resources:
  example:
    type: azure:core:ResourceGroup
    properties:
      name: example-resources
      location: West Europe
  exampleFactory:
    type: azure:datafactory:Factory
    name: example
    properties:
      name: example
      location: ${example.location}
      resourceGroupName: ${example.name}
  exampleIntegrationRuntimeRule:
    type: azure:datafactory:IntegrationRuntimeRule
    name: example
    properties:
      name: example
      dataFactoryId: ${exampleFactory.id}
      location: ${example.location}

    Create IntegrationRuntimeRule Resource

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

    Constructor syntax

    new IntegrationRuntimeRule(name: string, args: IntegrationRuntimeRuleArgs, opts?: CustomResourceOptions);
    @overload
def IntegrationRuntimeRule(resource_name: str,
                           args: IntegrationRuntimeRuleArgs,
                           opts: Optional[ResourceOptions] = None)

@overload
def IntegrationRuntimeRule(resource_name: str,
                           opts: Optional[ResourceOptions] = None,
                           data_factory_id: Optional[str] = None,
                           cleanup_enabled: Optional[bool] = None,
                           compute_type: Optional[str] = None,
                           core_count: Optional[int] = None,
                           description: Optional[str] = None,
                           location: Optional[str] = None,
                           name: Optional[str] = None,
                           time_to_live_min: Optional[int] = None,
                           virtual_network_enabled: Optional[bool] = None)
    func NewIntegrationRuntimeRule(ctx *Context, name string, args IntegrationRuntimeRuleArgs, opts ...ResourceOption) (*IntegrationRuntimeRule, error)
    public IntegrationRuntimeRule(string name, IntegrationRuntimeRuleArgs args, CustomResourceOptions? opts = null)
    public IntegrationRuntimeRule(String name, IntegrationRuntimeRuleArgs args)
public IntegrationRuntimeRule(String name, IntegrationRuntimeRuleArgs args, CustomResourceOptions options)

    type: azure:datafactory:IntegrationRuntimeRule
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 IntegrationRuntimeRuleArgs
    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 IntegrationRuntimeRuleArgs
    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 IntegrationRuntimeRuleArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args IntegrationRuntimeRuleArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args IntegrationRuntimeRuleArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var integrationRuntimeRuleResource = new Azure.DataFactory.IntegrationRuntimeRule("integrationRuntimeRuleResource", new()
{
    DataFactoryId = "string",
    CleanupEnabled = false,
    ComputeType = "string",
    CoreCount = 0,
    Description = "string",
    Location = "string",
    Name = "string",
    TimeToLiveMin = 0,
    VirtualNetworkEnabled = false,
});

    example, err := datafactory.NewIntegrationRuntimeRule(ctx, "integrationRuntimeRuleResource", &datafactory.IntegrationRuntimeRuleArgs{
	DataFactoryId:         pulumi.String("string"),
	CleanupEnabled:        pulumi.Bool(false),
	ComputeType:           pulumi.String("string"),
	CoreCount:             pulumi.Int(0),
	Description:           pulumi.String("string"),
	Location:              pulumi.String("string"),
	Name:                  pulumi.String("string"),
	TimeToLiveMin:         pulumi.Int(0),
	VirtualNetworkEnabled: pulumi.Bool(false),
})

    var integrationRuntimeRuleResource = new IntegrationRuntimeRule("integrationRuntimeRuleResource", IntegrationRuntimeRuleArgs.builder()
    .dataFactoryId("string")
    .cleanupEnabled(false)
    .computeType("string")
    .coreCount(0)
    .description("string")
    .location("string")
    .name("string")
    .timeToLiveMin(0)
    .virtualNetworkEnabled(false)
    .build());

    integration_runtime_rule_resource = azure.datafactory.IntegrationRuntimeRule("integrationRuntimeRuleResource",
    data_factory_id="string",
    cleanup_enabled=False,
    compute_type="string",
    core_count=0,
    description="string",
    location="string",
    name="string",
    time_to_live_min=0,
    virtual_network_enabled=False)

    const integrationRuntimeRuleResource = new azure.datafactory.IntegrationRuntimeRule("integrationRuntimeRuleResource", {
    dataFactoryId: "string",
    cleanupEnabled: false,
    computeType: "string",
    coreCount: 0,
    description: "string",
    location: "string",
    name: "string",
    timeToLiveMin: 0,
    virtualNetworkEnabled: false,
});

    type: azure:datafactory:IntegrationRuntimeRule
properties:
    cleanupEnabled: false
    computeType: string
    coreCount: 0
    dataFactoryId: string
    description: string
    location: string
    name: string
    timeToLiveMin: 0
    virtualNetworkEnabled: false

    IntegrationRuntimeRule 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 IntegrationRuntimeRule resource accepts the following input properties:

    DataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    CleanupEnabled bool
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    ComputeType string
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    CoreCount int
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    Description string
    Integration runtime description.
    Location string
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    Name string
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    TimeToLiveMin int
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    VirtualNetworkEnabled bool
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.
    DataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    CleanupEnabled bool
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    ComputeType string
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    CoreCount int
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    Description string
    Integration runtime description.
    Location string
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    Name string
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    TimeToLiveMin int
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    VirtualNetworkEnabled bool
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    cleanupEnabled Boolean
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    computeType String
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    coreCount Integer
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    description String
    Integration runtime description.
    location String
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    name String
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    timeToLiveMin Integer
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    virtualNetworkEnabled Boolean
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.
    dataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    cleanupEnabled boolean
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    computeType string
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    coreCount number
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    description string
    Integration runtime description.
    location string
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    name string
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    timeToLiveMin number
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    virtualNetworkEnabled boolean
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.
    data_factory_id str
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    cleanup_enabled bool
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    compute_type str
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    core_count int
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    description str
    Integration runtime description.
    location str
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    name str
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    time_to_live_min int
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    virtual_network_enabled bool
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    cleanupEnabled Boolean
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    computeType String
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    coreCount Number
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    description String
    Integration runtime description.
    location String
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    name String
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    timeToLiveMin Number
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    virtualNetworkEnabled Boolean
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the IntegrationRuntimeRule 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 IntegrationRuntimeRule Resource

    Get an existing IntegrationRuntimeRule 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?: IntegrationRuntimeRuleState, opts?: CustomResourceOptions): IntegrationRuntimeRule
    @staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        cleanup_enabled: Optional[bool] = None,
        compute_type: Optional[str] = None,
        core_count: Optional[int] = None,
        data_factory_id: Optional[str] = None,
        description: Optional[str] = None,
        location: Optional[str] = None,
        name: Optional[str] = None,
        time_to_live_min: Optional[int] = None,
        virtual_network_enabled: Optional[bool] = None) -> IntegrationRuntimeRule
    func GetIntegrationRuntimeRule(ctx *Context, name string, id IDInput, state *IntegrationRuntimeRuleState, opts ...ResourceOption) (*IntegrationRuntimeRule, error)
    public static IntegrationRuntimeRule Get(string name, Input<string> id, IntegrationRuntimeRuleState? state, CustomResourceOptions? opts = null)
    public static IntegrationRuntimeRule get(String name, Output<String> id, IntegrationRuntimeRuleState state, CustomResourceOptions options)
    resources:  _:    type: azure:datafactory:IntegrationRuntimeRule    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:
    CleanupEnabled bool
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    ComputeType string
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    CoreCount int
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    DataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    Description string
    Integration runtime description.
    Location string
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    Name string
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    TimeToLiveMin int
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    VirtualNetworkEnabled bool
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.
    CleanupEnabled bool
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    ComputeType string
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    CoreCount int
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    DataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    Description string
    Integration runtime description.
    Location string
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    Name string
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    TimeToLiveMin int
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    VirtualNetworkEnabled bool
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.
    cleanupEnabled Boolean
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    computeType String
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    coreCount Integer
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description String
    Integration runtime description.
    location String
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    name String
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    timeToLiveMin Integer
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    virtualNetworkEnabled Boolean
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.
    cleanupEnabled boolean
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    computeType string
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    coreCount number
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    dataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description string
    Integration runtime description.
    location string
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    name string
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    timeToLiveMin number
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    virtualNetworkEnabled boolean
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.
    cleanup_enabled bool
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    compute_type str
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    core_count int
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    data_factory_id str
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description str
    Integration runtime description.
    location str
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    name str
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    time_to_live_min int
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    virtual_network_enabled bool
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.
    cleanupEnabled Boolean
    Cluster will not be recycled and it will be used in next data flow activity run until TTL (time to live) is reached if this is set as false. Defaults to true.
    computeType String
    Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.
    coreCount Number
    Core count of the cluster which will execute data flow job. Valid values are 8, 16, 32, 48, 80, 144 and 272. Defaults to 8.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description String
    Integration runtime description.
    location String
    Specifies the supported Azure location where the resource exists. Use AutoResolve to create an auto-resolve integration runtime. Changing this forces a new resource to be created.
    name String
    Specifies the name of the Managed Integration Runtime. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    timeToLiveMin Number
    Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.
    virtualNetworkEnabled Boolean
    Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.

    Import

    Data Factory Azure Integration Runtimes can be imported using the resource id, e.g.

    $ pulumi import azure:datafactory/integrationRuntimeRule:IntegrationRuntimeRule example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/example/providers/Microsoft.DataFactory/factories/example/integrationruntimes/example

    To learn more about importing existing cloud resources, see Importing resources.

    Package Details

    Repository
    Azure Classic pulumi/pulumi-azure
    License
    Apache-2.0
    Notes
    This Pulumi package is based on the azurerm Terraform Provider.
    azure logo

    We recommend using Azure Native.

    Azure v6.21.0 published on Friday, Mar 7, 2025 by Pulumi
    pulumi/pulumi-azure