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Azure Classic v5.83.0 published on Monday, Jul 8, 2024 by Pulumi

azure.datafactory.Pipeline

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We recommend using Azure Native.

Azure Classic v5.83.0 published on Monday, Jul 8, 2024 by Pulumi

    Manages a Pipeline inside a Azure Data Factory.

    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 examplePipeline = new azure.datafactory.Pipeline("example", {
        name: "example",
        dataFactoryId: exampleFactory.id,
    });
    
    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_pipeline = azure.datafactory.Pipeline("example",
        name="example",
        data_factory_id=example_factory.id)
    
    package main
    
    import (
    	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/core"
    	"github.com/pulumi/pulumi-azure/sdk/v5/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.NewPipeline(ctx, "example", &datafactory.PipelineArgs{
    			Name:          pulumi.String("example"),
    			DataFactoryId: exampleFactory.ID(),
    		})
    		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 examplePipeline = new Azure.DataFactory.Pipeline("example", new()
        {
            Name = "example",
            DataFactoryId = exampleFactory.Id,
        });
    
    });
    
    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.Pipeline;
    import com.pulumi.azure.datafactory.PipelineArgs;
    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 examplePipeline = new Pipeline("examplePipeline", PipelineArgs.builder()
                .name("example")
                .dataFactoryId(exampleFactory.id())
                .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}
      examplePipeline:
        type: azure:datafactory:Pipeline
        name: example
        properties:
          name: example
          dataFactoryId: ${exampleFactory.id}
    

    With Activities

    import * as pulumi from "@pulumi/pulumi";
    import * as azure from "@pulumi/azure";
    
    const test = new azure.datafactory.Pipeline("test", {
        name: "example",
        dataFactoryId: testAzurermDataFactory.id,
        variables: {
            bob: "item1",
        },
        activitiesJson: `[
        {
            "name": "Append variable1",
            "type": "AppendVariable",
            "dependsOn": [],
            "userProperties": [],
            "typeProperties": {
              "variableName": "bob",
              "value": "something"
            }
        }
    ]
    `,
    });
    
    import pulumi
    import pulumi_azure as azure
    
    test = azure.datafactory.Pipeline("test",
        name="example",
        data_factory_id=test_azurerm_data_factory["id"],
        variables={
            "bob": "item1",
        },
        activities_json="""[
        {
            "name": "Append variable1",
            "type": "AppendVariable",
            "dependsOn": [],
            "userProperties": [],
            "typeProperties": {
              "variableName": "bob",
              "value": "something"
            }
        }
    ]
    """)
    
    package main
    
    import (
    	"github.com/pulumi/pulumi-azure/sdk/v5/go/azure/datafactory"
    	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
    )
    
    func main() {
    	pulumi.Run(func(ctx *pulumi.Context) error {
    		_, err := datafactory.NewPipeline(ctx, "test", &datafactory.PipelineArgs{
    			Name:          pulumi.String("example"),
    			DataFactoryId: pulumi.Any(testAzurermDataFactory.Id),
    			Variables: pulumi.StringMap{
    				"bob": pulumi.String("item1"),
    			},
    			ActivitiesJson: pulumi.String(`[
        {
            "name": "Append variable1",
            "type": "AppendVariable",
            "dependsOn": [],
            "userProperties": [],
            "typeProperties": {
              "variableName": "bob",
              "value": "something"
            }
        }
    ]
    `),
    		})
    		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 test = new Azure.DataFactory.Pipeline("test", new()
        {
            Name = "example",
            DataFactoryId = testAzurermDataFactory.Id,
            Variables = 
            {
                { "bob", "item1" },
            },
            ActivitiesJson = @"[
        {
            ""name"": ""Append variable1"",
            ""type"": ""AppendVariable"",
            ""dependsOn"": [],
            ""userProperties"": [],
            ""typeProperties"": {
              ""variableName"": ""bob"",
              ""value"": ""something""
            }
        }
    ]
    ",
        });
    
    });
    
    package generated_program;
    
    import com.pulumi.Context;
    import com.pulumi.Pulumi;
    import com.pulumi.core.Output;
    import com.pulumi.azure.datafactory.Pipeline;
    import com.pulumi.azure.datafactory.PipelineArgs;
    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 test = new Pipeline("test", PipelineArgs.builder()
                .name("example")
                .dataFactoryId(testAzurermDataFactory.id())
                .variables(Map.of("bob", "item1"))
                .activitiesJson("""
    [
        {
            "name": "Append variable1",
            "type": "AppendVariable",
            "dependsOn": [],
            "userProperties": [],
            "typeProperties": {
              "variableName": "bob",
              "value": "something"
            }
        }
    ]
                """)
                .build());
    
        }
    }
    
    resources:
      test:
        type: azure:datafactory:Pipeline
        properties:
          name: example
          dataFactoryId: ${testAzurermDataFactory.id}
          variables:
            bob: item1
          activitiesJson: |
            [
                {
                    "name": "Append variable1",
                    "type": "AppendVariable",
                    "dependsOn": [],
                    "userProperties": [],
                    "typeProperties": {
                      "variableName": "bob",
                      "value": "something"
                    }
                }
            ]        
    

    Create Pipeline Resource

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

    Constructor syntax

    new Pipeline(name: string, args: PipelineArgs, opts?: CustomResourceOptions);
    @overload
    def Pipeline(resource_name: str,
                 args: PipelineArgs,
                 opts: Optional[ResourceOptions] = None)
    
    @overload
    def Pipeline(resource_name: str,
                 opts: Optional[ResourceOptions] = None,
                 data_factory_id: Optional[str] = None,
                 activities_json: Optional[str] = None,
                 annotations: Optional[Sequence[str]] = None,
                 concurrency: Optional[int] = None,
                 description: Optional[str] = None,
                 folder: Optional[str] = None,
                 moniter_metrics_after_duration: Optional[str] = None,
                 name: Optional[str] = None,
                 parameters: Optional[Mapping[str, str]] = None,
                 variables: Optional[Mapping[str, str]] = None)
    func NewPipeline(ctx *Context, name string, args PipelineArgs, opts ...ResourceOption) (*Pipeline, error)
    public Pipeline(string name, PipelineArgs args, CustomResourceOptions? opts = null)
    public Pipeline(String name, PipelineArgs args)
    public Pipeline(String name, PipelineArgs args, CustomResourceOptions options)
    
    type: azure:datafactory:Pipeline
    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 PipelineArgs
    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 PipelineArgs
    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 PipelineArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args PipelineArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args PipelineArgs
    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 pipelineResource = new Azure.DataFactory.Pipeline("pipelineResource", new()
    {
        DataFactoryId = "string",
        ActivitiesJson = "string",
        Annotations = new[]
        {
            "string",
        },
        Concurrency = 0,
        Description = "string",
        Folder = "string",
        MoniterMetricsAfterDuration = "string",
        Name = "string",
        Parameters = 
        {
            { "string", "string" },
        },
        Variables = 
        {
            { "string", "string" },
        },
    });
    
    example, err := datafactory.NewPipeline(ctx, "pipelineResource", &datafactory.PipelineArgs{
    	DataFactoryId:  pulumi.String("string"),
    	ActivitiesJson: pulumi.String("string"),
    	Annotations: pulumi.StringArray{
    		pulumi.String("string"),
    	},
    	Concurrency:                 pulumi.Int(0),
    	Description:                 pulumi.String("string"),
    	Folder:                      pulumi.String("string"),
    	MoniterMetricsAfterDuration: pulumi.String("string"),
    	Name:                        pulumi.String("string"),
    	Parameters: pulumi.StringMap{
    		"string": pulumi.String("string"),
    	},
    	Variables: pulumi.StringMap{
    		"string": pulumi.String("string"),
    	},
    })
    
    var pipelineResource = new Pipeline("pipelineResource", PipelineArgs.builder()
        .dataFactoryId("string")
        .activitiesJson("string")
        .annotations("string")
        .concurrency(0)
        .description("string")
        .folder("string")
        .moniterMetricsAfterDuration("string")
        .name("string")
        .parameters(Map.of("string", "string"))
        .variables(Map.of("string", "string"))
        .build());
    
    pipeline_resource = azure.datafactory.Pipeline("pipelineResource",
        data_factory_id="string",
        activities_json="string",
        annotations=["string"],
        concurrency=0,
        description="string",
        folder="string",
        moniter_metrics_after_duration="string",
        name="string",
        parameters={
            "string": "string",
        },
        variables={
            "string": "string",
        })
    
    const pipelineResource = new azure.datafactory.Pipeline("pipelineResource", {
        dataFactoryId: "string",
        activitiesJson: "string",
        annotations: ["string"],
        concurrency: 0,
        description: "string",
        folder: "string",
        moniterMetricsAfterDuration: "string",
        name: "string",
        parameters: {
            string: "string",
        },
        variables: {
            string: "string",
        },
    });
    
    type: azure:datafactory:Pipeline
    properties:
        activitiesJson: string
        annotations:
            - string
        concurrency: 0
        dataFactoryId: string
        description: string
        folder: string
        moniterMetricsAfterDuration: string
        name: string
        parameters:
            string: string
        variables:
            string: string
    

    Pipeline Resource Properties

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

    Inputs

    The Pipeline 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.
    ActivitiesJson string
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    Annotations List<string>
    List of tags that can be used for describing the Data Factory Pipeline.
    Concurrency int
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    Description string
    The description for the Data Factory Pipeline.
    Folder string
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    MoniterMetricsAfterDuration string
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    Name string
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    Parameters Dictionary<string, string>
    A map of parameters to associate with the Data Factory Pipeline.
    Variables Dictionary<string, string>
    A map of variables to associate with the Data Factory Pipeline.
    DataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    ActivitiesJson string
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    Annotations []string
    List of tags that can be used for describing the Data Factory Pipeline.
    Concurrency int
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    Description string
    The description for the Data Factory Pipeline.
    Folder string
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    MoniterMetricsAfterDuration string
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    Name string
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    Parameters map[string]string
    A map of parameters to associate with the Data Factory Pipeline.
    Variables map[string]string
    A map of variables to associate with the Data Factory Pipeline.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    activitiesJson String
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    annotations List<String>
    List of tags that can be used for describing the Data Factory Pipeline.
    concurrency Integer
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    description String
    The description for the Data Factory Pipeline.
    folder String
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    moniterMetricsAfterDuration String
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    name String
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    parameters Map<String,String>
    A map of parameters to associate with the Data Factory Pipeline.
    variables Map<String,String>
    A map of variables to associate with the Data Factory Pipeline.
    dataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    activitiesJson string
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    annotations string[]
    List of tags that can be used for describing the Data Factory Pipeline.
    concurrency number
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    description string
    The description for the Data Factory Pipeline.
    folder string
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    moniterMetricsAfterDuration string
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    name string
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    parameters {[key: string]: string}
    A map of parameters to associate with the Data Factory Pipeline.
    variables {[key: string]: string}
    A map of variables to associate with the Data Factory Pipeline.
    data_factory_id str
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    activities_json str
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    annotations Sequence[str]
    List of tags that can be used for describing the Data Factory Pipeline.
    concurrency int
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    description str
    The description for the Data Factory Pipeline.
    folder str
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    moniter_metrics_after_duration str
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    name str
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    parameters Mapping[str, str]
    A map of parameters to associate with the Data Factory Pipeline.
    variables Mapping[str, str]
    A map of variables to associate with the Data Factory Pipeline.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    activitiesJson String
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    annotations List<String>
    List of tags that can be used for describing the Data Factory Pipeline.
    concurrency Number
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    description String
    The description for the Data Factory Pipeline.
    folder String
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    moniterMetricsAfterDuration String
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    name String
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    parameters Map<String>
    A map of parameters to associate with the Data Factory Pipeline.
    variables Map<String>
    A map of variables to associate with the Data Factory Pipeline.

    Outputs

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

    Get an existing Pipeline 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?: PipelineState, opts?: CustomResourceOptions): Pipeline
    @staticmethod
    def get(resource_name: str,
            id: str,
            opts: Optional[ResourceOptions] = None,
            activities_json: Optional[str] = None,
            annotations: Optional[Sequence[str]] = None,
            concurrency: Optional[int] = None,
            data_factory_id: Optional[str] = None,
            description: Optional[str] = None,
            folder: Optional[str] = None,
            moniter_metrics_after_duration: Optional[str] = None,
            name: Optional[str] = None,
            parameters: Optional[Mapping[str, str]] = None,
            variables: Optional[Mapping[str, str]] = None) -> Pipeline
    func GetPipeline(ctx *Context, name string, id IDInput, state *PipelineState, opts ...ResourceOption) (*Pipeline, error)
    public static Pipeline Get(string name, Input<string> id, PipelineState? state, CustomResourceOptions? opts = null)
    public static Pipeline get(String name, Output<String> id, PipelineState state, CustomResourceOptions options)
    Resource lookup is not supported in YAML
    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:
    ActivitiesJson string
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    Annotations List<string>
    List of tags that can be used for describing the Data Factory Pipeline.
    Concurrency int
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    DataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    Description string
    The description for the Data Factory Pipeline.
    Folder string
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    MoniterMetricsAfterDuration string
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    Name string
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    Parameters Dictionary<string, string>
    A map of parameters to associate with the Data Factory Pipeline.
    Variables Dictionary<string, string>
    A map of variables to associate with the Data Factory Pipeline.
    ActivitiesJson string
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    Annotations []string
    List of tags that can be used for describing the Data Factory Pipeline.
    Concurrency int
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    DataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    Description string
    The description for the Data Factory Pipeline.
    Folder string
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    MoniterMetricsAfterDuration string
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    Name string
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    Parameters map[string]string
    A map of parameters to associate with the Data Factory Pipeline.
    Variables map[string]string
    A map of variables to associate with the Data Factory Pipeline.
    activitiesJson String
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    annotations List<String>
    List of tags that can be used for describing the Data Factory Pipeline.
    concurrency Integer
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description String
    The description for the Data Factory Pipeline.
    folder String
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    moniterMetricsAfterDuration String
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    name String
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    parameters Map<String,String>
    A map of parameters to associate with the Data Factory Pipeline.
    variables Map<String,String>
    A map of variables to associate with the Data Factory Pipeline.
    activitiesJson string
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    annotations string[]
    List of tags that can be used for describing the Data Factory Pipeline.
    concurrency number
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    dataFactoryId string
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description string
    The description for the Data Factory Pipeline.
    folder string
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    moniterMetricsAfterDuration string
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    name string
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    parameters {[key: string]: string}
    A map of parameters to associate with the Data Factory Pipeline.
    variables {[key: string]: string}
    A map of variables to associate with the Data Factory Pipeline.
    activities_json str
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    annotations Sequence[str]
    List of tags that can be used for describing the Data Factory Pipeline.
    concurrency int
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    data_factory_id str
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description str
    The description for the Data Factory Pipeline.
    folder str
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    moniter_metrics_after_duration str
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    name str
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    parameters Mapping[str, str]
    A map of parameters to associate with the Data Factory Pipeline.
    variables Mapping[str, str]
    A map of variables to associate with the Data Factory Pipeline.
    activitiesJson String
    A JSON object that contains the activities that will be associated with the Data Factory Pipeline.
    annotations List<String>
    List of tags that can be used for describing the Data Factory Pipeline.
    concurrency Number
    The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.
    dataFactoryId String
    The Data Factory ID in which to associate the Linked Service with. Changing this forces a new resource.
    description String
    The description for the Data Factory Pipeline.
    folder String
    The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.
    moniterMetricsAfterDuration String
    The TimeSpan value after which an Azure Monitoring Metric is fired.
    name String
    Specifies the name of the Data Factory Pipeline. Changing this forces a new resource to be created. Must be globally unique. See the Microsoft documentation for all restrictions.
    parameters Map<String>
    A map of parameters to associate with the Data Factory Pipeline.
    variables Map<String>
    A map of variables to associate with the Data Factory Pipeline.

    Import

    Data Factory Pipeline’s can be imported using the resource id, e.g.

    $ pulumi import azure:datafactory/pipeline:Pipeline example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/example/providers/Microsoft.DataFactory/factories/example/pipelines/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.
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    We recommend using Azure Native.

    Azure Classic v5.83.0 published on Monday, Jul 8, 2024 by Pulumi