pulumi-aws-kotlin/com.pulumi.aws.sagemaker.kotlin/DataQualityJobDefinitionArgs

DataQualityJobDefinitionArgs

data class DataQualityJobDefinitionArgs(val dataQualityAppSpecification: Output<DataQualityJobDefinitionDataQualityAppSpecificationArgs>? = null, val dataQualityBaselineConfig: Output<DataQualityJobDefinitionDataQualityBaselineConfigArgs>? = null, val dataQualityJobInput: Output<DataQualityJobDefinitionDataQualityJobInputArgs>? = null, val dataQualityJobOutputConfig: Output<DataQualityJobDefinitionDataQualityJobOutputConfigArgs>? = null, val jobResources: Output<DataQualityJobDefinitionJobResourcesArgs>? = null, val name: Output<String>? = null, val networkConfig: Output<DataQualityJobDefinitionNetworkConfigArgs>? = null, val roleArn: Output<String>? = null, val stoppingCondition: Output<DataQualityJobDefinitionStoppingConditionArgs>? = null, val tags: Output<Map<String, String>>? = null) : ConvertibleToJava<DataQualityJobDefinitionArgs>

Provides a SageMaker AI data quality job definition resource.

Example Usage

Basic usage:

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const test = new aws.sagemaker.DataQualityJobDefinition("test", {
    name: "my-data-quality-job-definition",
    dataQualityAppSpecification: {
        imageUri: monitor.registryPath,
    },
    dataQualityJobInput: {
        endpointInput: {
            endpointName: myEndpoint.name,
        },
    },
    dataQualityJobOutputConfig: {
        monitoringOutputs: {
            s3Output: {
                s3Uri: `https://${myBucket.bucketRegionalDomainName}/output`,
            },
        },
    },
    jobResources: {
        clusterConfig: {
            instanceCount: 1,
            instanceType: "ml.t3.medium",
            volumeSizeInGb: 20,
        },
    },
    roleArn: myRole.arn,
});
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import pulumi
import pulumi_aws as aws
test = aws.sagemaker.DataQualityJobDefinition("test",
    name="my-data-quality-job-definition",
    data_quality_app_specification={
        "image_uri": monitor["registryPath"],
    },
    data_quality_job_input={
        "endpoint_input": {
            "endpoint_name": my_endpoint["name"],
        },
    },
    data_quality_job_output_config={
        "monitoring_outputs": {
            "s3_output": {
                "s3_uri": f"https://{my_bucket['bucketRegionalDomainName']}/output",
            },
        },
    },
    job_resources={
        "cluster_config": {
            "instance_count": 1,
            "instance_type": "ml.t3.medium",
            "volume_size_in_gb": 20,
        },
    },
    role_arn=my_role["arn"])
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Aws = Pulumi.Aws;
return await Deployment.RunAsync(() =>
{
    var test = new Aws.Sagemaker.DataQualityJobDefinition("test", new()
    {
        Name = "my-data-quality-job-definition",
        DataQualityAppSpecification = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityAppSpecificationArgs
        {
            ImageUri = monitor.RegistryPath,
        },
        DataQualityJobInput = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityJobInputArgs
        {
            EndpointInput = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityJobInputEndpointInputArgs
            {
                EndpointName = myEndpoint.Name,
            },
        },
        DataQualityJobOutputConfig = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityJobOutputConfigArgs
        {
            MonitoringOutputs = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsArgs
            {
                S3Output = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsS3OutputArgs
                {
                    S3Uri = $"https://{myBucket.BucketRegionalDomainName}/output",
                },
            },
        },
        JobResources = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionJobResourcesArgs
        {
            ClusterConfig = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionJobResourcesClusterConfigArgs
            {
                InstanceCount = 1,
                InstanceType = "ml.t3.medium",
                VolumeSizeInGb = 20,
            },
        },
        RoleArn = myRole.Arn,
    });
});
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package main
import (
	"fmt"
	"github.com/pulumi/pulumi-aws/sdk/v6/go/aws/sagemaker"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := sagemaker.NewDataQualityJobDefinition(ctx, "test", &sagemaker.DataQualityJobDefinitionArgs{
			Name: pulumi.String("my-data-quality-job-definition"),
			DataQualityAppSpecification: &sagemaker.DataQualityJobDefinitionDataQualityAppSpecificationArgs{
				ImageUri: pulumi.Any(monitor.RegistryPath),
			},
			DataQualityJobInput: &sagemaker.DataQualityJobDefinitionDataQualityJobInputArgs{
				EndpointInput: &sagemaker.DataQualityJobDefinitionDataQualityJobInputEndpointInputArgs{
					EndpointName: pulumi.Any(myEndpoint.Name),
				},
			},
			DataQualityJobOutputConfig: &sagemaker.DataQualityJobDefinitionDataQualityJobOutputConfigArgs{
				MonitoringOutputs: &sagemaker.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsArgs{
					S3Output: sagemaker.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsS3OutputArgs{
						S3Uri: pulumi.Sprintf("https://%v/output", myBucket.BucketRegionalDomainName),
					},
				},
			},
			JobResources: &sagemaker.DataQualityJobDefinitionJobResourcesArgs{
				ClusterConfig: &sagemaker.DataQualityJobDefinitionJobResourcesClusterConfigArgs{
					InstanceCount:  pulumi.Int(1),
					InstanceType:   pulumi.String("ml.t3.medium"),
					VolumeSizeInGb: pulumi.Int(20),
				},
			},
			RoleArn: pulumi.Any(myRole.Arn),
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.aws.sagemaker.DataQualityJobDefinition;
import com.pulumi.aws.sagemaker.DataQualityJobDefinitionArgs;
import com.pulumi.aws.sagemaker.inputs.DataQualityJobDefinitionDataQualityAppSpecificationArgs;
import com.pulumi.aws.sagemaker.inputs.DataQualityJobDefinitionDataQualityJobInputArgs;
import com.pulumi.aws.sagemaker.inputs.DataQualityJobDefinitionDataQualityJobInputEndpointInputArgs;
import com.pulumi.aws.sagemaker.inputs.DataQualityJobDefinitionDataQualityJobOutputConfigArgs;
import com.pulumi.aws.sagemaker.inputs.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsArgs;
import com.pulumi.aws.sagemaker.inputs.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsS3OutputArgs;
import com.pulumi.aws.sagemaker.inputs.DataQualityJobDefinitionJobResourcesArgs;
import com.pulumi.aws.sagemaker.inputs.DataQualityJobDefinitionJobResourcesClusterConfigArgs;
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 DataQualityJobDefinition("test", DataQualityJobDefinitionArgs.builder()
            .name("my-data-quality-job-definition")
            .dataQualityAppSpecification(DataQualityJobDefinitionDataQualityAppSpecificationArgs.builder()
                .imageUri(monitor.registryPath())
                .build())
            .dataQualityJobInput(DataQualityJobDefinitionDataQualityJobInputArgs.builder()
                .endpointInput(DataQualityJobDefinitionDataQualityJobInputEndpointInputArgs.builder()
                    .endpointName(myEndpoint.name())
                    .build())
                .build())
            .dataQualityJobOutputConfig(DataQualityJobDefinitionDataQualityJobOutputConfigArgs.builder()
                .monitoringOutputs(DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsArgs.builder()
                    .s3Output(DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsS3OutputArgs.builder()
                        .s3Uri(String.format("https://%s/output", myBucket.bucketRegionalDomainName()))
                        .build())
                    .build())
                .build())
            .jobResources(DataQualityJobDefinitionJobResourcesArgs.builder()
                .clusterConfig(DataQualityJobDefinitionJobResourcesClusterConfigArgs.builder()
                    .instanceCount(1)
                    .instanceType("ml.t3.medium")
                    .volumeSizeInGb(20)
                    .build())
                .build())
            .roleArn(myRole.arn())
            .build());
    }
}
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resources:
  test:
    type: aws:sagemaker:DataQualityJobDefinition
    properties:
      name: my-data-quality-job-definition
      dataQualityAppSpecification:
        imageUri: ${monitor.registryPath}
      dataQualityJobInput:
        endpointInput:
          endpointName: ${myEndpoint.name}
      dataQualityJobOutputConfig:
        monitoringOutputs:
          s3Output:
            s3Uri: https://${myBucket.bucketRegionalDomainName}/output
      jobResources:
        clusterConfig:
          instanceCount: 1
          instanceType: ml.t3.medium
          volumeSizeInGb: 20
      roleArn: ${myRole.arn}
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Import

Using pulumi import, import data quality job definitions using the name. For example:

$ pulumi import aws:sagemaker/dataQualityJobDefinition:DataQualityJobDefinition test_data_quality_job_definition data-quality-job-definition-foo
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Constructors

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constructor(dataQualityAppSpecification: Output<DataQualityJobDefinitionDataQualityAppSpecificationArgs>? = null, dataQualityBaselineConfig: Output<DataQualityJobDefinitionDataQualityBaselineConfigArgs>? = null, dataQualityJobInput: Output<DataQualityJobDefinitionDataQualityJobInputArgs>? = null, dataQualityJobOutputConfig: Output<DataQualityJobDefinitionDataQualityJobOutputConfigArgs>? = null, jobResources: Output<DataQualityJobDefinitionJobResourcesArgs>? = null, name: Output<String>? = null, networkConfig: Output<DataQualityJobDefinitionNetworkConfigArgs>? = null, roleArn: Output<String>? = null, stoppingCondition: Output<DataQualityJobDefinitionStoppingConditionArgs>? = null, tags: Output<Map<String, String>>? = null)

Properties

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val dataQualityAppSpecification: Output<DataQualityJobDefinitionDataQualityAppSpecificationArgs>? = null

Specifies the container that runs the monitoring job. Fields are documented below.

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val dataQualityBaselineConfig: Output<DataQualityJobDefinitionDataQualityBaselineConfigArgs>? = null

Configures the constraints and baselines for the monitoring job. Fields are documented below.

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val dataQualityJobInput: Output<DataQualityJobDefinitionDataQualityJobInputArgs>? = null

A list of inputs for the monitoring job. Fields are documented below.

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val dataQualityJobOutputConfig: Output<DataQualityJobDefinitionDataQualityJobOutputConfigArgs>? = null

The output configuration for monitoring jobs. Fields are documented below.

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val jobResources: Output<DataQualityJobDefinitionJobResourcesArgs>? = null

Identifies the resources to deploy for a monitoring job. Fields are documented below.

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val name: Output<String>? = null

The name of the data quality job definition. If omitted, the provider will assign a random, unique name.

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val networkConfig: Output<DataQualityJobDefinitionNetworkConfigArgs>? = null

Specifies networking configuration for the monitoring job. Fields are documented below.

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val roleArn: Output<String>? = null

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.

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val stoppingCondition: Output<DataQualityJobDefinitionStoppingConditionArgs>? = null

A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.

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val tags: Output<Map<String, String>>? = null

A mapping of tags to assign to the resource. If configured with a provider default_tags configuration block present, tags with matching keys will overwrite those defined at the provider-level.

Functions

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open override fun toJava(): DataQualityJobDefinitionArgs