Data
data class DataFlowArgs(val dataflowName: Output<String>? = null, val dataflowProfileName: Output<String>? = null, val extendedLocation: Output<ExtendedLocationArgs>? = null, val instanceName: Output<String>? = null, val properties: Output<DataFlowPropertiesArgs>? = null, val resourceGroupName: Output<String>? = null) : ConvertibleToJava<DataFlowArgs>
Instance dataflowProfile dataflow resource Uses Azure REST API version 2024-07-01-preview.
Example Usage
DataFlow_CreateOrUpdate
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using AzureNative = Pulumi.AzureNative;
return await Deployment.RunAsync(() =>
{
var dataFlow = new AzureNative.IoTOperations.DataFlow("dataFlow", new()
{
DataflowName = "aio-dataflow",
DataflowProfileName = "aio-dataflowprofile",
ExtendedLocation = new AzureNative.IoTOperations.Inputs.ExtendedLocationArgs
{
Name = "ycsyubcxttlusbhfdqaynmkaatnbyv",
Type = AzureNative.IoTOperations.ExtendedLocationType.CustomLocation,
},
InstanceName = "aio-instance",
Properties = new AzureNative.IoTOperations.Inputs.DataFlowPropertiesArgs
{
Mode = AzureNative.IoTOperations.OperationalMode.Enabled,
Operations = new[]
{
new AzureNative.IoTOperations.Inputs.DataFlowOperationArgs
{
BuiltInTransformationSettings = new AzureNative.IoTOperations.Inputs.DataFlowBuiltInTransformationArgs
{
Datasets = new[]
{
new AzureNative.IoTOperations.Inputs.DataFlowBuiltInTransformationDatasetArgs
{
Description = "a description of this dataset",
Expression = "$2 == $1",
Inputs = new[]
{
"machineId",
"$context(dataset-name-user-provided1).machine.details.id",
},
Key = "dataset-name-user-provided1",
SchemaRef = "schemaRef-pointing-to-AIO-schema-registry-instance",
},
},
Filter = new[]
{
new AzureNative.IoTOperations.Inputs.DataFlowBuiltInTransformationFilterArgs
{
Description = "this is a user generated string to provide context",
Expression = "$1 == $3 && $2 $4",
Inputs = new[]
{
"machineId",
"temperature",
"$context(dataset-name-user-provided1).machine.details.id",
"$context(dataset-name-user-provided2).machine.location.temperature",
},
Type = AzureNative.IoTOperations.FilterType.Filter,
},
},
Map = new[]
{
new AzureNative.IoTOperations.Inputs.DataFlowBuiltInTransformationMapArgs
{
Description = "this is a user generated string to provide context for the operation",
Expression = "400",
Inputs = new() { },
Output = "temperatureLimit",
Type = AzureNative.IoTOperations.DataFlowMappingType.NewProperties,
},
new AzureNative.IoTOperations.Inputs.DataFlowBuiltInTransformationMapArgs
{
Description = "this is a user generated string to provide context for the operation",
Expression = "$1 * 1000",
Inputs = new[]
{
"speed ? $last",
},
Output = "speedLKV",
},
new AzureNative.IoTOperations.Inputs.DataFlowBuiltInTransformationMapArgs
{
Description = "this is a user generated string to provide context for the operation",
Expression = "$1 * 9/5 + 32",
Inputs = new[]
{
"temperature",
},
Output = "temperatureF",
Type = AzureNative.IoTOperations.DataFlowMappingType.Compute,
},
},
SchemaRef = "kszdaahrhhctjvusgakiz",
SerializationFormat = AzureNative.IoTOperations.TransformationSerializationFormat.Delta,
},
DestinationSettings = new AzureNative.IoTOperations.Inputs.DataFlowDestinationOperationArgs
{
DataDestination = "hxwohipwddccefqrdz",
EndpointRef = "hvexewvu",
},
Name = "hhoeuttlpjucxldumilbdbxsglpfhvamwrasjuroucjzutjamarau",
OperationType = AzureNative.IoTOperations.OperationType.Source,
SourceSettings = new AzureNative.IoTOperations.Inputs.DataFlowSourceOperationArgs
{
AssetRef = "eswnjlnapfrdeklaivntm",
DataSources = new[]
{
"dvncbklqkvjygnjgatioaikaneue",
},
EndpointRef = "cqsvkqeuyjzci",
SchemaRef = "uchmgqpworewvayionuwydneotyo",
SerializationFormat = AzureNative.IoTOperations.SourceSerializationFormat.Json,
},
},
},
ProfileRef = "juecrpocwpcajelwiwrplvacf",
},
ResourceGroupName = "rgiotoperations",
});
});Content copied to clipboard
package main
import (
iotoperations "github.com/pulumi/pulumi-azure-native-sdk/iotoperations/v2"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := iotoperations.NewDataFlow(ctx, "dataFlow", &iotoperations.DataFlowArgs{
DataflowName: pulumi.String("aio-dataflow"),
DataflowProfileName: pulumi.String("aio-dataflowprofile"),
ExtendedLocation: &iotoperations.ExtendedLocationArgs{
Name: pulumi.String("ycsyubcxttlusbhfdqaynmkaatnbyv"),
Type: pulumi.String(iotoperations.ExtendedLocationTypeCustomLocation),
},
InstanceName: pulumi.String("aio-instance"),
Properties: &iotoperations.DataFlowPropertiesArgs{
Mode: pulumi.String(iotoperations.OperationalModeEnabled),
Operations: iotoperations.DataFlowOperationArray{
&iotoperations.DataFlowOperationArgs{
BuiltInTransformationSettings: &iotoperations.DataFlowBuiltInTransformationArgs{
Datasets: iotoperations.DataFlowBuiltInTransformationDatasetArray{
&iotoperations.DataFlowBuiltInTransformationDatasetArgs{
Description: pulumi.String("a description of this dataset"),
Expression: pulumi.String("$2 == $1"),
Inputs: pulumi.StringArray{
pulumi.String("machineId"),
pulumi.String("$context(dataset-name-user-provided1).machine.details.id"),
},
Key: pulumi.String("dataset-name-user-provided1"),
SchemaRef: pulumi.String("schemaRef-pointing-to-AIO-schema-registry-instance"),
},
},
Filter: iotoperations.DataFlowBuiltInTransformationFilterArray{
&iotoperations.DataFlowBuiltInTransformationFilterArgs{
Description: pulumi.String("this is a user generated string to provide context"),
Expression: pulumi.String("$1 == $3 && $2 $4"),
Inputs: pulumi.StringArray{
pulumi.String("machineId"),
pulumi.String("temperature"),
pulumi.String("$context(dataset-name-user-provided1).machine.details.id"),
pulumi.String("$context(dataset-name-user-provided2).machine.location.temperature"),
},
Type: pulumi.String(iotoperations.FilterTypeFilter),
},
},
Map: iotoperations.DataFlowBuiltInTransformationMapArray{
&iotoperations.DataFlowBuiltInTransformationMapArgs{
Description: pulumi.String("this is a user generated string to provide context for the operation"),
Expression: pulumi.String("400"),
Inputs: pulumi.StringArray{},
Output: pulumi.String("temperatureLimit"),
Type: pulumi.String(iotoperations.DataFlowMappingTypeNewProperties),
},
&iotoperations.DataFlowBuiltInTransformationMapArgs{
Description: pulumi.String("this is a user generated string to provide context for the operation"),
Expression: pulumi.String("$1 * 1000"),
Inputs: pulumi.StringArray{
pulumi.String("speed ? $last"),
},
Output: pulumi.String("speedLKV"),
},
&iotoperations.DataFlowBuiltInTransformationMapArgs{
Description: pulumi.String("this is a user generated string to provide context for the operation"),
Expression: pulumi.String("$1 * 9/5 + 32"),
Inputs: pulumi.StringArray{
pulumi.String("temperature"),
},
Output: pulumi.String("temperatureF"),
Type: pulumi.String(iotoperations.DataFlowMappingTypeCompute),
},
},
SchemaRef: pulumi.String("kszdaahrhhctjvusgakiz"),
SerializationFormat: pulumi.String(iotoperations.TransformationSerializationFormatDelta),
},
DestinationSettings: &iotoperations.DataFlowDestinationOperationArgs{
DataDestination: pulumi.String("hxwohipwddccefqrdz"),
EndpointRef: pulumi.String("hvexewvu"),
},
Name: pulumi.String("hhoeuttlpjucxldumilbdbxsglpfhvamwrasjuroucjzutjamarau"),
OperationType: pulumi.String(iotoperations.OperationTypeSource),
SourceSettings: &iotoperations.DataFlowSourceOperationArgs{
AssetRef: pulumi.String("eswnjlnapfrdeklaivntm"),
DataSources: pulumi.StringArray{
pulumi.String("dvncbklqkvjygnjgatioaikaneue"),
},
EndpointRef: pulumi.String("cqsvkqeuyjzci"),
SchemaRef: pulumi.String("uchmgqpworewvayionuwydneotyo"),
SerializationFormat: pulumi.String(iotoperations.SourceSerializationFormatJson),
},
},
},
ProfileRef: pulumi.String("juecrpocwpcajelwiwrplvacf"),
},
ResourceGroupName: pulumi.String("rgiotoperations"),
})
if err != nil {
return err
}
return nil
})
}Content copied to clipboard
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.iotoperations.DataFlow;
import com.pulumi.azurenative.iotoperations.DataFlowArgs;
import com.pulumi.azurenative.iotoperations.inputs.ExtendedLocationArgs;
import com.pulumi.azurenative.iotoperations.inputs.DataFlowPropertiesArgs;
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 dataFlow = new DataFlow("dataFlow", DataFlowArgs.builder()
.dataflowName("aio-dataflow")
.dataflowProfileName("aio-dataflowprofile")
.extendedLocation(ExtendedLocationArgs.builder()
.name("ycsyubcxttlusbhfdqaynmkaatnbyv")
.type("CustomLocation")
.build())
.instanceName("aio-instance")
.properties(DataFlowPropertiesArgs.builder()
.mode("Enabled")
.operations(DataFlowOperationArgs.builder()
.builtInTransformationSettings(DataFlowBuiltInTransformationArgs.builder()
.datasets(DataFlowBuiltInTransformationDatasetArgs.builder()
.description("a description of this dataset")
.expression("$2 == $1")
.inputs(
"machineId",
"$context(dataset-name-user-provided1).machine.details.id")
.key("dataset-name-user-provided1")
.schemaRef("schemaRef-pointing-to-AIO-schema-registry-instance")
.build())
.filter(DataFlowBuiltInTransformationFilterArgs.builder()
.description("this is a user generated string to provide context")
.expression("$1 == $3 && $2 $4")
.inputs(
"machineId",
"temperature",
"$context(dataset-name-user-provided1).machine.details.id",
"$context(dataset-name-user-provided2).machine.location.temperature")
.type("Filter")
.build())
.map(
DataFlowBuiltInTransformationMapArgs.builder()
.description("this is a user generated string to provide context for the operation")
.expression("400")
.inputs()
.output("temperatureLimit")
.type("NewProperties")
.build(),
DataFlowBuiltInTransformationMapArgs.builder()
.description("this is a user generated string to provide context for the operation")
.expression("$1 * 1000")
.inputs("speed ? $last")
.output("speedLKV")
.build(),
DataFlowBuiltInTransformationMapArgs.builder()
.description("this is a user generated string to provide context for the operation")
.expression("$1 * 9/5 + 32")
.inputs("temperature")
.output("temperatureF")
.type("Compute")
.build())
.schemaRef("kszdaahrhhctjvusgakiz")
.serializationFormat("Delta")
.build())
.destinationSettings(DataFlowDestinationOperationArgs.builder()
.dataDestination("hxwohipwddccefqrdz")
.endpointRef("hvexewvu")
.build())
.name("hhoeuttlpjucxldumilbdbxsglpfhvamwrasjuroucjzutjamarau")
.operationType("Source")
.sourceSettings(DataFlowSourceOperationArgs.builder()
.assetRef("eswnjlnapfrdeklaivntm")
.dataSources("dvncbklqkvjygnjgatioaikaneue")
.endpointRef("cqsvkqeuyjzci")
.schemaRef("uchmgqpworewvayionuwydneotyo")
.serializationFormat("Json")
.build())
.build())
.profileRef("juecrpocwpcajelwiwrplvacf")
.build())
.resourceGroupName("rgiotoperations")
.build());
}
}Content copied to clipboard
Import
An existing resource can be imported using its type token, name, and identifier, e.g.
$ pulumi import azure-native:iotoperations:DataFlow gyhhonqupjblolottsc /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.IoTOperations/instances/{instanceName}/dataflowProfiles/{dataflowProfileName}/dataflows/{dataflowName}Content copied to clipboard
Constructors
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constructor(dataflowName: Output<String>? = null, dataflowProfileName: Output<String>? = null, extendedLocation: Output<ExtendedLocationArgs>? = null, instanceName: Output<String>? = null, properties: Output<DataFlowPropertiesArgs>? = null, resourceGroupName: Output<String>? = null)
Properties
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Name of Instance dataflowProfile dataflow resource
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Name of Instance dataflowProfile resource
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Edge location of the resource.
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Name of instance.
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The resource-specific properties for this resource.
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The name of the resource group. The name is case insensitive.