azure-native.streamanalytics.Function

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

return await Deployment.RunAsync(() => 
{
    var function = new AzureNative.StreamAnalytics.Function("function", new()
    {
        FunctionName = "function588",
        JobName = "sj9093",
        Properties = new AzureNative.StreamAnalytics.Inputs.ScalarFunctionPropertiesArgs
        {
            Binding = new AzureNative.StreamAnalytics.Inputs.AzureMachineLearningWebServiceFunctionBindingArgs
            {
                ApiKey = "someApiKey==",
                BatchSize = 1000,
                Endpoint = "someAzureMLEndpointURL",
                Inputs = new AzureNative.StreamAnalytics.Inputs.AzureMachineLearningWebServiceInputsArgs
                {
                    ColumnNames = new[]
                    {
                        new AzureNative.StreamAnalytics.Inputs.AzureMachineLearningWebServiceInputColumnArgs
                        {
                            DataType = "string",
                            MapTo = 0,
                            Name = "tweet",
                        },
                    },
                    Name = "input1",
                },
                Outputs = new[]
                {
                    new AzureNative.StreamAnalytics.Inputs.AzureMachineLearningWebServiceOutputColumnArgs
                    {
                        DataType = "string",
                        Name = "Sentiment",
                    },
                },
                Type = "Microsoft.MachineLearning/WebService",
            },
            Inputs = new[]
            {
                new AzureNative.StreamAnalytics.Inputs.FunctionInputArgs
                {
                    DataType = "nvarchar(max)",
                },
            },
            Output = new AzureNative.StreamAnalytics.Inputs.FunctionOutputArgs
            {
                DataType = "nvarchar(max)",
            },
            Type = "Scalar",
        },
        ResourceGroupName = "sjrg7",
    });

});

package main

import (
	streamanalytics "github.com/pulumi/pulumi-azure-native-sdk/streamanalytics/v3"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := streamanalytics.NewFunction(ctx, "function", &streamanalytics.FunctionArgs{
			FunctionName: pulumi.String("function588"),
			JobName:      pulumi.String("sj9093"),
			Properties: &streamanalytics.ScalarFunctionPropertiesArgs{
				Binding: streamanalytics.AzureMachineLearningWebServiceFunctionBinding{
					ApiKey:    "someApiKey==",
					BatchSize: 1000,
					Endpoint:  "someAzureMLEndpointURL",
					Inputs: streamanalytics.AzureMachineLearningWebServiceInputs{
						ColumnNames: []streamanalytics.AzureMachineLearningWebServiceInputColumn{
							{
								DataType: "string",
								MapTo:    0,
								Name:     "tweet",
							},
						},
						Name: "input1",
					},
					Outputs: []streamanalytics.AzureMachineLearningWebServiceOutputColumn{
						{
							DataType: "string",
							Name:     "Sentiment",
						},
					},
					Type: "Microsoft.MachineLearning/WebService",
				},
				Inputs: streamanalytics.FunctionInputTypeArray{
					&streamanalytics.FunctionInputTypeArgs{
						DataType: pulumi.String("nvarchar(max)"),
					},
				},
				Output: &streamanalytics.FunctionOutputTypeArgs{
					DataType: pulumi.String("nvarchar(max)"),
				},
				Type: pulumi.String("Scalar"),
			},
			ResourceGroupName: pulumi.String("sjrg7"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azurenative.streamanalytics.Function;
import com.pulumi.azurenative.streamanalytics.FunctionArgs;
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 function = new Function("function", FunctionArgs.builder()
            .functionName("function588")
            .jobName("sj9093")
            .properties(ScalarFunctionPropertiesArgs.builder()
                .binding(AzureMachineLearningWebServiceFunctionBindingArgs.builder()
                    .apiKey("someApiKey==")
                    .batchSize(1000)
                    .endpoint("someAzureMLEndpointURL")
                    .inputs(AzureMachineLearningWebServiceInputsArgs.builder()
                        .columnNames(AzureMachineLearningWebServiceInputColumnArgs.builder()
                            .dataType("string")
                            .mapTo(0)
                            .name("tweet")
                            .build())
                        .name("input1")
                        .build())
                    .outputs(AzureMachineLearningWebServiceOutputColumnArgs.builder()
                        .dataType("string")
                        .name("Sentiment")
                        .build())
                    .type("Microsoft.MachineLearning/WebService")
                    .build())
                .inputs(FunctionInputArgs.builder()
                    .dataType("nvarchar(max)")
                    .build())
                .output(FunctionOutputArgs.builder()
                    .dataType("nvarchar(max)")
                    .build())
                .type("Scalar")
                .build())
            .resourceGroupName("sjrg7")
            .build());

    }
}

import pulumi
import pulumi_azure_native as azure_native

function = azure_native.streamanalytics.Function("function",
    function_name="function588",
    job_name="sj9093",
    properties={
        "binding": {
            "api_key": "someApiKey==",
            "batch_size": 1000,
            "endpoint": "someAzureMLEndpointURL",
            "inputs": {
                "column_names": [{
                    "data_type": "string",
                    "map_to": 0,
                    "name": "tweet",
                }],
                "name": "input1",
            },
            "outputs": [{
                "data_type": "string",
                "name": "Sentiment",
            }],
            "type": "Microsoft.MachineLearning/WebService",
        },
        "inputs": [{
            "data_type": "nvarchar(max)",
        }],
        "output": {
            "data_type": "nvarchar(max)",
        },
        "type": "Scalar",
    },
    resource_group_name="sjrg7")

resources:
  function:
    type: azure-native:streamanalytics:Function
    properties:
      functionName: function588
      jobName: sj9093
      properties:
        binding:
          apiKey: someApiKey==
          batchSize: 1000
          endpoint: someAzureMLEndpointURL
          inputs:
            columnNames:
              - dataType: string
                mapTo: 0
                name: tweet
            name: input1
          outputs:
            - dataType: string
              name: Sentiment
          type: Microsoft.MachineLearning/WebService
        inputs:
          - dataType: nvarchar(max)
        output:
          dataType: nvarchar(max)
        type: Scalar
      resourceGroupName: sjrg7