Pipeline

class Pipeline : KotlinCustomResource

Manages a Pipeline inside a Azure Data Factory.

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.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 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 examplePipeline = new Pipeline("examplePipeline", PipelineArgs.builder()
.dataFactoryId(exampleFactory.id())
.build());
}
}

With Activities

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()
.dataFactoryId(azurerm_data_factory.test().id())
.variables(Map.of("bob", "item1"))
.activitiesJson("""
[
{
"name": "Append variable1",
"type": "AppendVariable",
"dependsOn": [],
"userProperties": [],
"typeProperties": {
"variableName": "bob",
"value": "something"
}
}
]
""")
.build());
}
}

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

Properties

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val activitiesJson: Output<String>?

A JSON object that contains the activities that will be associated with the Data Factory Pipeline.

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val annotations: Output<List<String>>?

List of tags that can be used for describing the Data Factory Pipeline.

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val concurrency: Output<Int>?

The max number of concurrent runs for the Data Factory Pipeline. Must be between 1 and 50.

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val dataFactoryId: Output<String>

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

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val description: Output<String>?

The description for the Data Factory Pipeline.

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val folder: Output<String>?

The folder that this Pipeline is in. If not specified, the Pipeline will appear at the root level.

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val id: Output<String>
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The TimeSpan value after which an Azure Monitoring Metric is fired.

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val name: Output<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.

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val parameters: Output<Map<String, String>>?

A map of parameters to associate with the Data Factory Pipeline.

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val pulumiChildResources: Set<KotlinResource>
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val urn: Output<String>
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val variables: Output<Map<String, String>>?

A map of variables to associate with the Data Factory Pipeline.