pulumi-azure-kotlin/com.pulumi.azure.datafactory.kotlin/IntegrationRuntimeRule

IntegrationRuntimeRule

class IntegrationRuntimeRule : KotlinCustomResource

Manages a Data Factory Azure Integration Runtime.

Example Usage

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 exampleResourceGroup = new ResourceGroup("exampleResourceGroup", ResourceGroupArgs.builder()
            .location("West Europe")
            .build());
        var exampleFactory = new Factory("exampleFactory", FactoryArgs.builder()
            .location(exampleResourceGroup.location())
            .resourceGroupName(exampleResourceGroup.name())
            .build());
        var exampleIntegrationRuntimeRule = new IntegrationRuntimeRule("exampleIntegrationRuntimeRule", IntegrationRuntimeRuleArgs.builder()
            .dataFactoryId(exampleFactory.id())
            .location(exampleResourceGroup.location())
            .build());
    }
}

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

Properties

cleanupEnabled

val cleanupEnabled: Output<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. Default is true.

computeType

val computeType: Output<String>?

Compute type of the cluster which will execute data flow job. Valid values are General, ComputeOptimized and MemoryOptimized. Defaults to General.

coreCount

val coreCount: Output<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

val dataFactoryId: Output<String>

The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.

description

val description: Output<String>?

Integration runtime description.

val id: Output<String>

location

val location: Output<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

val name: Output<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.

pulumiChildResources

val pulumiChildResources: Set<KotlinResource>

pulumiResourceName

val pulumiResourceName: String

pulumiResourceType

val pulumiResourceType: String

timeToLiveMin

val timeToLiveMin: Output<Int>?

Time to live (in minutes) setting of the cluster which will execute data flow job. Defaults to 0.

urn

val urn: Output<String>

virtualNetworkEnabled

val virtualNetworkEnabled: Output<Boolean>?

Is Integration Runtime compute provisioned within Managed Virtual Network? Changing this forces a new resource to be created.