Docs
PackagesTry AWS Native preview for resources not in the classic version.
aws.sagemaker.DataQualityJobDefinition
Explore with Pulumi AI
Try AWS Native preview for resources not in the classic version.
Provides a SageMaker data quality job definition resource.
Example Usage
Basic usage
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()
{
DataQualityAppSpecification = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityAppSpecificationArgs
{
ImageUri = data.Aws_sagemaker_prebuilt_ecr_image.Monitor.Registry_path,
},
DataQualityJobInput = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityJobInputArgs
{
EndpointInput = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityJobInputEndpointInputArgs
{
EndpointName = aws_sagemaker_endpoint.My_endpoint.Name,
},
},
DataQualityJobOutputConfig = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityJobOutputConfigArgs
{
MonitoringOutputs = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsArgs
{
S3Output = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsS3OutputArgs
{
S3Uri = $"https://{aws_s3_bucket.My_bucket.Bucket_regional_domain_name}/output",
},
},
},
JobResources = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionJobResourcesArgs
{
ClusterConfig = new Aws.Sagemaker.Inputs.DataQualityJobDefinitionJobResourcesClusterConfigArgs
{
InstanceCount = 1,
InstanceType = "ml.t3.medium",
VolumeSizeInGb = 20,
},
},
RoleArn = aws_iam_role.My_role.Arn,
});
});
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{
DataQualityAppSpecification: &sagemaker.DataQualityJobDefinitionDataQualityAppSpecificationArgs{
ImageUri: pulumi.Any(data.Aws_sagemaker_prebuilt_ecr_image.Monitor.Registry_path),
},
DataQualityJobInput: &sagemaker.DataQualityJobDefinitionDataQualityJobInputArgs{
EndpointInput: &sagemaker.DataQualityJobDefinitionDataQualityJobInputEndpointInputArgs{
EndpointName: pulumi.Any(aws_sagemaker_endpoint.My_endpoint.Name),
},
},
DataQualityJobOutputConfig: &sagemaker.DataQualityJobDefinitionDataQualityJobOutputConfigArgs{
MonitoringOutputs: &sagemaker.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsArgs{
S3Output: sagemaker.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsS3OutputArgs{
S3Uri: pulumi.String(fmt.Sprintf("https://%v/output", aws_s3_bucket.My_bucket.Bucket_regional_domain_name)),
},
},
},
JobResources: &sagemaker.DataQualityJobDefinitionJobResourcesArgs{
ClusterConfig: &sagemaker.DataQualityJobDefinitionJobResourcesClusterConfigArgs{
InstanceCount: pulumi.Int(1),
InstanceType: pulumi.String("ml.t3.medium"),
VolumeSizeInGb: pulumi.Int(20),
},
},
RoleArn: pulumi.Any(aws_iam_role.My_role.Arn),
})
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.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()
.dataQualityAppSpecification(DataQualityJobDefinitionDataQualityAppSpecificationArgs.builder()
.imageUri(data.aws_sagemaker_prebuilt_ecr_image().monitor().registry_path())
.build())
.dataQualityJobInput(DataQualityJobDefinitionDataQualityJobInputArgs.builder()
.endpointInput(DataQualityJobDefinitionDataQualityJobInputEndpointInputArgs.builder()
.endpointName(aws_sagemaker_endpoint.my_endpoint().name())
.build())
.build())
.dataQualityJobOutputConfig(DataQualityJobDefinitionDataQualityJobOutputConfigArgs.builder()
.monitoringOutputs(DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsArgs.builder()
.s3Output(DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsS3OutputArgs.builder()
.s3Uri(String.format("https://%s/output", aws_s3_bucket.my_bucket().bucket_regional_domain_name()))
.build())
.build())
.build())
.jobResources(DataQualityJobDefinitionJobResourcesArgs.builder()
.clusterConfig(DataQualityJobDefinitionJobResourcesClusterConfigArgs.builder()
.instanceCount(1)
.instanceType("ml.t3.medium")
.volumeSizeInGb(20)
.build())
.build())
.roleArn(aws_iam_role.my_role().arn())
.build());
}
}
import pulumi
import pulumi_aws as aws
test = aws.sagemaker.DataQualityJobDefinition("test",
data_quality_app_specification=aws.sagemaker.DataQualityJobDefinitionDataQualityAppSpecificationArgs(
image_uri=data["aws_sagemaker_prebuilt_ecr_image"]["monitor"]["registry_path"],
),
data_quality_job_input=aws.sagemaker.DataQualityJobDefinitionDataQualityJobInputArgs(
endpoint_input=aws.sagemaker.DataQualityJobDefinitionDataQualityJobInputEndpointInputArgs(
endpoint_name=aws_sagemaker_endpoint["my_endpoint"]["name"],
),
),
data_quality_job_output_config=aws.sagemaker.DataQualityJobDefinitionDataQualityJobOutputConfigArgs(
monitoring_outputs=aws.sagemaker.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsArgs(
s3_output=aws.sagemaker.DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsS3OutputArgs(
s3_uri=f"https://{aws_s3_bucket['my_bucket']['bucket_regional_domain_name']}/output",
),
),
),
job_resources=aws.sagemaker.DataQualityJobDefinitionJobResourcesArgs(
cluster_config=aws.sagemaker.DataQualityJobDefinitionJobResourcesClusterConfigArgs(
instance_count=1,
instance_type="ml.t3.medium",
volume_size_in_gb=20,
),
),
role_arn=aws_iam_role["my_role"]["arn"])
import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";
const test = new aws.sagemaker.DataQualityJobDefinition("test", {
dataQualityAppSpecification: {
imageUri: data.aws_sagemaker_prebuilt_ecr_image.monitor.registry_path,
},
dataQualityJobInput: {
endpointInput: {
endpointName: aws_sagemaker_endpoint.my_endpoint.name,
},
},
dataQualityJobOutputConfig: {
monitoringOutputs: {
s3Output: {
s3Uri: `https://${aws_s3_bucket.my_bucket.bucket_regional_domain_name}/output`,
},
},
},
jobResources: {
clusterConfig: {
instanceCount: 1,
instanceType: "ml.t3.medium",
volumeSizeInGb: 20,
},
},
roleArn: aws_iam_role.my_role.arn,
});
resources:
test:
type: aws:sagemaker:DataQualityJobDefinition
properties:
dataQualityAppSpecification:
imageUri: ${data.aws_sagemaker_prebuilt_ecr_image.monitor.registry_path}
dataQualityJobInput:
endpointInput:
endpointName: ${aws_sagemaker_endpoint.my_endpoint.name}
dataQualityJobOutputConfig:
monitoringOutputs:
s3Output:
s3Uri: https://${aws_s3_bucket.my_bucket.bucket_regional_domain_name}/output
jobResources:
clusterConfig:
instanceCount: 1
instanceType: ml.t3.medium
volumeSizeInGb: 20
roleArn: ${aws_iam_role.my_role.arn}
Create DataQualityJobDefinition Resource
new DataQualityJobDefinition(name: string, args: DataQualityJobDefinitionArgs, opts?: CustomResourceOptions);@overload
def DataQualityJobDefinition(resource_name: str,
opts: Optional[ResourceOptions] = None,
data_quality_app_specification: Optional[DataQualityJobDefinitionDataQualityAppSpecificationArgs] = None,
data_quality_baseline_config: Optional[DataQualityJobDefinitionDataQualityBaselineConfigArgs] = None,
data_quality_job_input: Optional[DataQualityJobDefinitionDataQualityJobInputArgs] = None,
data_quality_job_output_config: Optional[DataQualityJobDefinitionDataQualityJobOutputConfigArgs] = None,
job_resources: Optional[DataQualityJobDefinitionJobResourcesArgs] = None,
name: Optional[str] = None,
network_config: Optional[DataQualityJobDefinitionNetworkConfigArgs] = None,
role_arn: Optional[str] = None,
stopping_condition: Optional[DataQualityJobDefinitionStoppingConditionArgs] = None,
tags: Optional[Mapping[str, str]] = None)
@overload
def DataQualityJobDefinition(resource_name: str,
args: DataQualityJobDefinitionArgs,
opts: Optional[ResourceOptions] = None)func NewDataQualityJobDefinition(ctx *Context, name string, args DataQualityJobDefinitionArgs, opts ...ResourceOption) (*DataQualityJobDefinition, error)public DataQualityJobDefinition(string name, DataQualityJobDefinitionArgs args, CustomResourceOptions? opts = null)
public DataQualityJobDefinition(String name, DataQualityJobDefinitionArgs args)
public DataQualityJobDefinition(String name, DataQualityJobDefinitionArgs args, CustomResourceOptions options)
type: aws:sagemaker:DataQualityJobDefinition
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DataQualityJobDefinitionArgs
- 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 DataQualityJobDefinitionArgs
- 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 DataQualityJobDefinitionArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args DataQualityJobDefinitionArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args DataQualityJobDefinitionArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
DataQualityJobDefinition 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 DataQualityJobDefinition resource accepts the following input properties:
- Data
Quality Pulumi.App Specification Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality App Specification Specifies the container that runs the monitoring job. Fields are documented below.
- Data
Quality Pulumi.Job Input Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Job Input A list of inputs for the monitoring job. Fields are documented below.
- Data
Quality Pulumi.Job Output Config Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Job Output Config The output configuration for monitoring jobs. Fields are documented below.
- Job
Resources Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Job Resources Identifies the resources to deploy for a monitoring job. Fields are documented below.
- Role
Arn string The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- Data
Quality Pulumi.Baseline Config Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Baseline Config Configures the constraints and baselines for the monitoring job. Fields are documented below.
- Name string
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- Network
Config Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Network Config Specifies networking configuration for the monitoring job. Fields are documented below.
- Stopping
Condition Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Stopping Condition A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- Dictionary<string, string>
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.
- Data
Quality DataApp Specification Quality Job Definition Data Quality App Specification Args Specifies the container that runs the monitoring job. Fields are documented below.
- Data
Quality DataJob Input Quality Job Definition Data Quality Job Input Args A list of inputs for the monitoring job. Fields are documented below.
- Data
Quality DataJob Output Config Quality Job Definition Data Quality Job Output Config Args The output configuration for monitoring jobs. Fields are documented below.
- Job
Resources DataQuality Job Definition Job Resources Args Identifies the resources to deploy for a monitoring job. Fields are documented below.
- Role
Arn string The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- Data
Quality DataBaseline Config Quality Job Definition Data Quality Baseline Config Args Configures the constraints and baselines for the monitoring job. Fields are documented below.
- Name string
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- Network
Config DataQuality Job Definition Network Config Args Specifies networking configuration for the monitoring job. Fields are documented below.
- Stopping
Condition DataQuality Job Definition Stopping Condition Args A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- map[string]string
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.
- data
Quality DataApp Specification Quality Job Definition Data Quality App Specification Specifies the container that runs the monitoring job. Fields are documented below.
- data
Quality DataJob Input Quality Job Definition Data Quality Job Input A list of inputs for the monitoring job. Fields are documented below.
- data
Quality DataJob Output Config Quality Job Definition Data Quality Job Output Config The output configuration for monitoring jobs. Fields are documented below.
- job
Resources DataQuality Job Definition Job Resources Identifies the resources to deploy for a monitoring job. Fields are documented below.
- role
Arn String The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- data
Quality DataBaseline Config Quality Job Definition Data Quality Baseline Config Configures the constraints and baselines for the monitoring job. Fields are documented below.
- name String
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- network
Config DataQuality Job Definition Network Config Specifies networking configuration for the monitoring job. Fields are documented below.
- stopping
Condition DataQuality Job Definition Stopping Condition A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- Map<String,String>
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.
- data
Quality DataApp Specification Quality Job Definition Data Quality App Specification Specifies the container that runs the monitoring job. Fields are documented below.
- data
Quality DataJob Input Quality Job Definition Data Quality Job Input A list of inputs for the monitoring job. Fields are documented below.
- data
Quality DataJob Output Config Quality Job Definition Data Quality Job Output Config The output configuration for monitoring jobs. Fields are documented below.
- job
Resources DataQuality Job Definition Job Resources Identifies the resources to deploy for a monitoring job. Fields are documented below.
- role
Arn string The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- data
Quality DataBaseline Config Quality Job Definition Data Quality Baseline Config Configures the constraints and baselines for the monitoring job. Fields are documented below.
- name string
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- network
Config DataQuality Job Definition Network Config Specifies networking configuration for the monitoring job. Fields are documented below.
- stopping
Condition DataQuality Job Definition Stopping Condition A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- {[key: string]: string}
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.
- data_
quality_ Dataapp_ specification Quality Job Definition Data Quality App Specification Args Specifies the container that runs the monitoring job. Fields are documented below.
- data_
quality_ Datajob_ input Quality Job Definition Data Quality Job Input Args A list of inputs for the monitoring job. Fields are documented below.
- data_
quality_ Datajob_ output_ config Quality Job Definition Data Quality Job Output Config Args The output configuration for monitoring jobs. Fields are documented below.
- job_
resources DataQuality Job Definition Job Resources Args Identifies the resources to deploy for a monitoring job. Fields are documented below.
- role_
arn str The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- data_
quality_ Databaseline_ config Quality Job Definition Data Quality Baseline Config Args Configures the constraints and baselines for the monitoring job. Fields are documented below.
- name str
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- network_
config DataQuality Job Definition Network Config Args Specifies networking configuration for the monitoring job. Fields are documented below.
- stopping_
condition DataQuality Job Definition Stopping Condition Args A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- Mapping[str, str]
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.
- data
Quality Property MapApp Specification Specifies the container that runs the monitoring job. Fields are documented below.
- data
Quality Property MapJob Input A list of inputs for the monitoring job. Fields are documented below.
- data
Quality Property MapJob Output Config The output configuration for monitoring jobs. Fields are documented below.
- job
Resources Property Map Identifies the resources to deploy for a monitoring job. Fields are documented below.
- role
Arn String The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- data
Quality Property MapBaseline Config Configures the constraints and baselines for the monitoring job. Fields are documented below.
- name String
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- network
Config Property Map Specifies networking configuration for the monitoring job. Fields are documented below.
- stopping
Condition Property Map A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- Map<String>
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.
Outputs
All input properties are implicitly available as output properties. Additionally, the DataQualityJobDefinition resource produces the following output properties:
- Arn string
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- Id string
The provider-assigned unique ID for this managed resource.
- Dictionary<string, string>
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
- Arn string
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- Id string
The provider-assigned unique ID for this managed resource.
- map[string]string
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
- arn String
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- id String
The provider-assigned unique ID for this managed resource.
- Map<String,String>
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
- arn string
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- id string
The provider-assigned unique ID for this managed resource.
- {[key: string]: string}
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
- arn str
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- id str
The provider-assigned unique ID for this managed resource.
- Mapping[str, str]
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
- arn String
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- id String
The provider-assigned unique ID for this managed resource.
- Map<String>
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
Look up Existing DataQualityJobDefinition Resource
Get an existing DataQualityJobDefinition 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?: DataQualityJobDefinitionState, opts?: CustomResourceOptions): DataQualityJobDefinition@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
arn: Optional[str] = None,
data_quality_app_specification: Optional[DataQualityJobDefinitionDataQualityAppSpecificationArgs] = None,
data_quality_baseline_config: Optional[DataQualityJobDefinitionDataQualityBaselineConfigArgs] = None,
data_quality_job_input: Optional[DataQualityJobDefinitionDataQualityJobInputArgs] = None,
data_quality_job_output_config: Optional[DataQualityJobDefinitionDataQualityJobOutputConfigArgs] = None,
job_resources: Optional[DataQualityJobDefinitionJobResourcesArgs] = None,
name: Optional[str] = None,
network_config: Optional[DataQualityJobDefinitionNetworkConfigArgs] = None,
role_arn: Optional[str] = None,
stopping_condition: Optional[DataQualityJobDefinitionStoppingConditionArgs] = None,
tags: Optional[Mapping[str, str]] = None,
tags_all: Optional[Mapping[str, str]] = None) -> DataQualityJobDefinitionfunc GetDataQualityJobDefinition(ctx *Context, name string, id IDInput, state *DataQualityJobDefinitionState, opts ...ResourceOption) (*DataQualityJobDefinition, error)public static DataQualityJobDefinition Get(string name, Input<string> id, DataQualityJobDefinitionState? state, CustomResourceOptions? opts = null)public static DataQualityJobDefinition get(String name, Output<String> id, DataQualityJobDefinitionState 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.
- Arn string
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- Data
Quality Pulumi.App Specification Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality App Specification Specifies the container that runs the monitoring job. Fields are documented below.
- Data
Quality Pulumi.Baseline Config Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Baseline Config Configures the constraints and baselines for the monitoring job. Fields are documented below.
- Data
Quality Pulumi.Job Input Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Job Input A list of inputs for the monitoring job. Fields are documented below.
- Data
Quality Pulumi.Job Output Config Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Job Output Config The output configuration for monitoring jobs. Fields are documented below.
- Job
Resources Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Job Resources Identifies the resources to deploy for a monitoring job. Fields are documented below.
- Name string
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- Network
Config Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Network Config Specifies networking configuration for the monitoring job. Fields are documented below.
- Role
Arn string The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- Stopping
Condition Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Stopping Condition A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- Dictionary<string, string>
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.- Dictionary<string, string>
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
- Arn string
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- Data
Quality DataApp Specification Quality Job Definition Data Quality App Specification Args Specifies the container that runs the monitoring job. Fields are documented below.
- Data
Quality DataBaseline Config Quality Job Definition Data Quality Baseline Config Args Configures the constraints and baselines for the monitoring job. Fields are documented below.
- Data
Quality DataJob Input Quality Job Definition Data Quality Job Input Args A list of inputs for the monitoring job. Fields are documented below.
- Data
Quality DataJob Output Config Quality Job Definition Data Quality Job Output Config Args The output configuration for monitoring jobs. Fields are documented below.
- Job
Resources DataQuality Job Definition Job Resources Args Identifies the resources to deploy for a monitoring job. Fields are documented below.
- Name string
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- Network
Config DataQuality Job Definition Network Config Args Specifies networking configuration for the monitoring job. Fields are documented below.
- Role
Arn string The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- Stopping
Condition DataQuality Job Definition Stopping Condition Args A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- map[string]string
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.- map[string]string
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
- arn String
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- data
Quality DataApp Specification Quality Job Definition Data Quality App Specification Specifies the container that runs the monitoring job. Fields are documented below.
- data
Quality DataBaseline Config Quality Job Definition Data Quality Baseline Config Configures the constraints and baselines for the monitoring job. Fields are documented below.
- data
Quality DataJob Input Quality Job Definition Data Quality Job Input A list of inputs for the monitoring job. Fields are documented below.
- data
Quality DataJob Output Config Quality Job Definition Data Quality Job Output Config The output configuration for monitoring jobs. Fields are documented below.
- job
Resources DataQuality Job Definition Job Resources Identifies the resources to deploy for a monitoring job. Fields are documented below.
- name String
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- network
Config DataQuality Job Definition Network Config Specifies networking configuration for the monitoring job. Fields are documented below.
- role
Arn String The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- stopping
Condition DataQuality Job Definition Stopping Condition A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- Map<String,String>
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.- Map<String,String>
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
- arn string
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- data
Quality DataApp Specification Quality Job Definition Data Quality App Specification Specifies the container that runs the monitoring job. Fields are documented below.
- data
Quality DataBaseline Config Quality Job Definition Data Quality Baseline Config Configures the constraints and baselines for the monitoring job. Fields are documented below.
- data
Quality DataJob Input Quality Job Definition Data Quality Job Input A list of inputs for the monitoring job. Fields are documented below.
- data
Quality DataJob Output Config Quality Job Definition Data Quality Job Output Config The output configuration for monitoring jobs. Fields are documented below.
- job
Resources DataQuality Job Definition Job Resources Identifies the resources to deploy for a monitoring job. Fields are documented below.
- name string
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- network
Config DataQuality Job Definition Network Config Specifies networking configuration for the monitoring job. Fields are documented below.
- role
Arn string The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- stopping
Condition DataQuality Job Definition Stopping Condition A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- {[key: string]: string}
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.- {[key: string]: string}
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
- arn str
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- data_
quality_ Dataapp_ specification Quality Job Definition Data Quality App Specification Args Specifies the container that runs the monitoring job. Fields are documented below.
- data_
quality_ Databaseline_ config Quality Job Definition Data Quality Baseline Config Args Configures the constraints and baselines for the monitoring job. Fields are documented below.
- data_
quality_ Datajob_ input Quality Job Definition Data Quality Job Input Args A list of inputs for the monitoring job. Fields are documented below.
- data_
quality_ Datajob_ output_ config Quality Job Definition Data Quality Job Output Config Args The output configuration for monitoring jobs. Fields are documented below.
- job_
resources DataQuality Job Definition Job Resources Args Identifies the resources to deploy for a monitoring job. Fields are documented below.
- name str
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- network_
config DataQuality Job Definition Network Config Args Specifies networking configuration for the monitoring job. Fields are documented below.
- role_
arn str The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- stopping_
condition DataQuality Job Definition Stopping Condition Args A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- Mapping[str, str]
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.- Mapping[str, str]
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
- arn String
The Amazon Resource Name (ARN) assigned by AWS to this data quality job definition.
- data
Quality Property MapApp Specification Specifies the container that runs the monitoring job. Fields are documented below.
- data
Quality Property MapBaseline Config Configures the constraints and baselines for the monitoring job. Fields are documented below.
- data
Quality Property MapJob Input A list of inputs for the monitoring job. Fields are documented below.
- data
Quality Property MapJob Output Config The output configuration for monitoring jobs. Fields are documented below.
- job
Resources Property Map Identifies the resources to deploy for a monitoring job. Fields are documented below.
- name String
The name of the data quality job definition. If omitted, the provider will assign a random, unique name.
- network
Config Property Map Specifies networking configuration for the monitoring job. Fields are documented below.
- role
Arn String The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.
- stopping
Condition Property Map A time limit for how long the monitoring job is allowed to run before stopping. Fields are documented below.
- Map<String>
A mapping of tags to assign to the resource. If configured with a provider
default_tagsconfiguration block present, tags with matching keys will overwrite those defined at the provider-level.- Map<String>
A map of tags assigned to the resource, including those inherited from the provider
default_tagsconfiguration block.Please use
tagsinstead.
Supporting Types
DataQualityJobDefinitionDataQualityAppSpecification, DataQualityJobDefinitionDataQualityAppSpecificationArgs
- Image
Uri string The container image that the data quality monitoring job runs.
- Environment Dictionary<string, string>
Sets the environment variables in the container that the monitoring job runs. A list of key value pairs.
- Post
Analytics stringProcessor Source Uri An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
- Record
Preprocessor stringSource Uri An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
- Image
Uri string The container image that the data quality monitoring job runs.
- Environment map[string]string
Sets the environment variables in the container that the monitoring job runs. A list of key value pairs.
- Post
Analytics stringProcessor Source Uri An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
- Record
Preprocessor stringSource Uri An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
- image
Uri String The container image that the data quality monitoring job runs.
- environment Map<String,String>
Sets the environment variables in the container that the monitoring job runs. A list of key value pairs.
- post
Analytics StringProcessor Source Uri An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
- record
Preprocessor StringSource Uri An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
- image
Uri string The container image that the data quality monitoring job runs.
- environment {[key: string]: string}
Sets the environment variables in the container that the monitoring job runs. A list of key value pairs.
- post
Analytics stringProcessor Source Uri An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
- record
Preprocessor stringSource Uri An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
- image_
uri str The container image that the data quality monitoring job runs.
- environment Mapping[str, str]
Sets the environment variables in the container that the monitoring job runs. A list of key value pairs.
- post_
analytics_ strprocessor_ source_ uri An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
- record_
preprocessor_ strsource_ uri An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
- image
Uri String The container image that the data quality monitoring job runs.
- environment Map<String>
Sets the environment variables in the container that the monitoring job runs. A list of key value pairs.
- post
Analytics StringProcessor Source Uri An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.
- record
Preprocessor StringSource Uri An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.
DataQualityJobDefinitionDataQualityBaselineConfig, DataQualityJobDefinitionDataQualityBaselineConfigArgs
- Constraints
Resource Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Baseline Config Constraints Resource The constraints resource for a monitoring job. Fields are documented below.
- Statistics
Resource Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Baseline Config Statistics Resource The statistics resource for a monitoring job. Fields are documented below.
- Constraints
Resource DataQuality Job Definition Data Quality Baseline Config Constraints Resource The constraints resource for a monitoring job. Fields are documented below.
- Statistics
Resource DataQuality Job Definition Data Quality Baseline Config Statistics Resource The statistics resource for a monitoring job. Fields are documented below.
- constraints
Resource DataQuality Job Definition Data Quality Baseline Config Constraints Resource The constraints resource for a monitoring job. Fields are documented below.
- statistics
Resource DataQuality Job Definition Data Quality Baseline Config Statistics Resource The statistics resource for a monitoring job. Fields are documented below.
- constraints
Resource DataQuality Job Definition Data Quality Baseline Config Constraints Resource The constraints resource for a monitoring job. Fields are documented below.
- statistics
Resource DataQuality Job Definition Data Quality Baseline Config Statistics Resource The statistics resource for a monitoring job. Fields are documented below.
- constraints_
resource DataQuality Job Definition Data Quality Baseline Config Constraints Resource The constraints resource for a monitoring job. Fields are documented below.
- statistics_
resource DataQuality Job Definition Data Quality Baseline Config Statistics Resource The statistics resource for a monitoring job. Fields are documented below.
- constraints
Resource Property Map The constraints resource for a monitoring job. Fields are documented below.
- statistics
Resource Property Map The statistics resource for a monitoring job. Fields are documented below.
DataQualityJobDefinitionDataQualityBaselineConfigConstraintsResource, DataQualityJobDefinitionDataQualityBaselineConfigConstraintsResourceArgs
- S3Uri string
The Amazon S3 URI for the constraints resource.
- S3Uri string
The Amazon S3 URI for the constraints resource.
- s3Uri String
The Amazon S3 URI for the constraints resource.
- s3Uri string
The Amazon S3 URI for the constraints resource.
- s3_
uri str The Amazon S3 URI for the constraints resource.
- s3Uri String
The Amazon S3 URI for the constraints resource.
DataQualityJobDefinitionDataQualityBaselineConfigStatisticsResource, DataQualityJobDefinitionDataQualityBaselineConfigStatisticsResourceArgs
- S3Uri string
The Amazon S3 URI for the statistics resource.
- S3Uri string
The Amazon S3 URI for the statistics resource.
- s3Uri String
The Amazon S3 URI for the statistics resource.
- s3Uri string
The Amazon S3 URI for the statistics resource.
- s3_
uri str The Amazon S3 URI for the statistics resource.
- s3Uri String
The Amazon S3 URI for the statistics resource.
DataQualityJobDefinitionDataQualityJobInput, DataQualityJobDefinitionDataQualityJobInputArgs
- Batch
Transform Pulumi.Input Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Job Input Batch Transform Input Input object for the batch transform job. Fields are documented below.
- Endpoint
Input Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Job Input Endpoint Input Input object for the endpoint. Fields are documented below.
- Batch
Transform DataInput Quality Job Definition Data Quality Job Input Batch Transform Input Input object for the batch transform job. Fields are documented below.
- Endpoint
Input DataQuality Job Definition Data Quality Job Input Endpoint Input Input object for the endpoint. Fields are documented below.
- batch
Transform DataInput Quality Job Definition Data Quality Job Input Batch Transform Input Input object for the batch transform job. Fields are documented below.
- endpoint
Input DataQuality Job Definition Data Quality Job Input Endpoint Input Input object for the endpoint. Fields are documented below.
- batch
Transform DataInput Quality Job Definition Data Quality Job Input Batch Transform Input Input object for the batch transform job. Fields are documented below.
- endpoint
Input DataQuality Job Definition Data Quality Job Input Endpoint Input Input object for the endpoint. Fields are documented below.
- batch_
transform_ Datainput Quality Job Definition Data Quality Job Input Batch Transform Input Input object for the batch transform job. Fields are documented below.
- endpoint_
input DataQuality Job Definition Data Quality Job Input Endpoint Input Input object for the endpoint. Fields are documented below.
- batch
Transform Property MapInput Input object for the batch transform job. Fields are documented below.
- endpoint
Input Property Map Input object for the endpoint. Fields are documented below.
DataQualityJobDefinitionDataQualityJobInputBatchTransformInput, DataQualityJobDefinitionDataQualityJobInputBatchTransformInputArgs
- Data
Captured stringDestination S3Uri The Amazon S3 location being used to capture the data.
- Dataset
Format Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Job Input Batch Transform Input Dataset Format The dataset format for your batch transform job. Fields are documented below.
- Local
Path string Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- S3Data
Distribution stringType Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- S3Input
Mode string Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
- Data
Captured stringDestination S3Uri The Amazon S3 location being used to capture the data.
- Dataset
Format DataQuality Job Definition Data Quality Job Input Batch Transform Input Dataset Format The dataset format for your batch transform job. Fields are documented below.
- Local
Path string Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- S3Data
Distribution stringType Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- S3Input
Mode string Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
- data
Captured StringDestination S3Uri The Amazon S3 location being used to capture the data.
- dataset
Format DataQuality Job Definition Data Quality Job Input Batch Transform Input Dataset Format The dataset format for your batch transform job. Fields are documented below.
- local
Path String Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- s3Data
Distribution StringType Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- s3Input
Mode String Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
- data
Captured stringDestination S3Uri The Amazon S3 location being used to capture the data.
- dataset
Format DataQuality Job Definition Data Quality Job Input Batch Transform Input Dataset Format The dataset format for your batch transform job. Fields are documented below.
- local
Path string Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- s3Data
Distribution stringType Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- s3Input
Mode string Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
- data_
captured_ strdestination_ s3_ uri The Amazon S3 location being used to capture the data.
- dataset_
format DataQuality Job Definition Data Quality Job Input Batch Transform Input Dataset Format The dataset format for your batch transform job. Fields are documented below.
- local_
path str Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- s3_
data_ strdistribution_ type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- s3_
input_ strmode Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
- data
Captured StringDestination S3Uri The Amazon S3 location being used to capture the data.
- dataset
Format Property Map The dataset format for your batch transform job. Fields are documented below.
- local
Path String Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- s3Data
Distribution StringType Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- s3Input
Mode String Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
DataQualityJobDefinitionDataQualityJobInputBatchTransformInputDatasetFormat, DataQualityJobDefinitionDataQualityJobInputBatchTransformInputDatasetFormatArgs
- Csv
Pulumi.
Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Job Input Batch Transform Input Dataset Format Csv The CSV dataset used in the monitoring job. Fields are documented below.
- Json
Pulumi.
Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Job Input Batch Transform Input Dataset Format Json The JSON dataset used in the monitoring job. Fields are documented below.
- Csv
Data
Quality Job Definition Data Quality Job Input Batch Transform Input Dataset Format Csv The CSV dataset used in the monitoring job. Fields are documented below.
- Json
Data
Quality Job Definition Data Quality Job Input Batch Transform Input Dataset Format Json The JSON dataset used in the monitoring job. Fields are documented below.
- csv
Data
Quality Job Definition Data Quality Job Input Batch Transform Input Dataset Format Csv The CSV dataset used in the monitoring job. Fields are documented below.
- json
Data
Quality Job Definition Data Quality Job Input Batch Transform Input Dataset Format Json The JSON dataset used in the monitoring job. Fields are documented below.
- csv
Data
Quality Job Definition Data Quality Job Input Batch Transform Input Dataset Format Csv The CSV dataset used in the monitoring job. Fields are documented below.
- json
Data
Quality Job Definition Data Quality Job Input Batch Transform Input Dataset Format Json The JSON dataset used in the monitoring job. Fields are documented below.
- csv
Data
Quality Job Definition Data Quality Job Input Batch Transform Input Dataset Format Csv The CSV dataset used in the monitoring job. Fields are documented below.
- json
Data
Quality Job Definition Data Quality Job Input Batch Transform Input Dataset Format Json The JSON dataset used in the monitoring job. Fields are documented below.
- csv Property Map
The CSV dataset used in the monitoring job. Fields are documented below.
- json Property Map
The JSON dataset used in the monitoring job. Fields are documented below.
DataQualityJobDefinitionDataQualityJobInputBatchTransformInputDatasetFormatCsv, DataQualityJobDefinitionDataQualityJobInputBatchTransformInputDatasetFormatCsvArgs
- Header bool
Indicates if the CSV data has a header.
- Header bool
Indicates if the CSV data has a header.
- header Boolean
Indicates if the CSV data has a header.
- header boolean
Indicates if the CSV data has a header.
- header bool
Indicates if the CSV data has a header.
- header Boolean
Indicates if the CSV data has a header.
DataQualityJobDefinitionDataQualityJobInputBatchTransformInputDatasetFormatJson, DataQualityJobDefinitionDataQualityJobInputBatchTransformInputDatasetFormatJsonArgs
- Line bool
Indicates if the file should be read as a json object per line.
- Line bool
Indicates if the file should be read as a json object per line.
- line Boolean
Indicates if the file should be read as a json object per line.
- line boolean
Indicates if the file should be read as a json object per line.
- line bool
Indicates if the file should be read as a json object per line.
- line Boolean
Indicates if the file should be read as a json object per line.
DataQualityJobDefinitionDataQualityJobInputEndpointInput, DataQualityJobDefinitionDataQualityJobInputEndpointInputArgs
- Endpoint
Name string An endpoint in customer's account which has
data_capture_configenabled.- Local
Path string Path to the filesystem where the endpoint data is available to the container. Defaults to
/opt/ml/processing/input.- S3Data
Distribution stringType Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- S3Input
Mode string Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
- Endpoint
Name string An endpoint in customer's account which has
data_capture_configenabled.- Local
Path string Path to the filesystem where the endpoint data is available to the container. Defaults to
/opt/ml/processing/input.- S3Data
Distribution stringType Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- S3Input
Mode string Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
- endpoint
Name String An endpoint in customer's account which has
data_capture_configenabled.- local
Path String Path to the filesystem where the endpoint data is available to the container. Defaults to
/opt/ml/processing/input.- s3Data
Distribution StringType Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- s3Input
Mode String Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
- endpoint
Name string An endpoint in customer's account which has
data_capture_configenabled.- local
Path string Path to the filesystem where the endpoint data is available to the container. Defaults to
/opt/ml/processing/input.- s3Data
Distribution stringType Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- s3Input
Mode string Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
- endpoint_
name str An endpoint in customer's account which has
data_capture_configenabled.- local_
path str Path to the filesystem where the endpoint data is available to the container. Defaults to
/opt/ml/processing/input.- s3_
data_ strdistribution_ type Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- s3_
input_ strmode Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
- endpoint
Name String An endpoint in customer's account which has
data_capture_configenabled.- local
Path String Path to the filesystem where the endpoint data is available to the container. Defaults to
/opt/ml/processing/input.- s3Data
Distribution StringType Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to
FullyReplicated. Valid values areFullyReplicatedorShardedByS3Key- s3Input
Mode String Whether the
PipeorFileis used as the input mode for transferring data for the monitoring job.Pipemode is recommended for large datasets.Filemode is useful for small files that fit in memory. Defaults toFile. Valid values arePipeorFile
DataQualityJobDefinitionDataQualityJobOutputConfig, DataQualityJobDefinitionDataQualityJobOutputConfigArgs
- Monitoring
Outputs Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Job Output Config Monitoring Outputs Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded. Fields are documented below.
- Kms
Key stringId The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
- Monitoring
Outputs DataQuality Job Definition Data Quality Job Output Config Monitoring Outputs Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded. Fields are documented below.
- Kms
Key stringId The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
- monitoring
Outputs DataQuality Job Definition Data Quality Job Output Config Monitoring Outputs Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded. Fields are documented below.
- kms
Key StringId The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
- monitoring
Outputs DataQuality Job Definition Data Quality Job Output Config Monitoring Outputs Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded. Fields are documented below.
- kms
Key stringId The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
- monitoring_
outputs DataQuality Job Definition Data Quality Job Output Config Monitoring Outputs Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded. Fields are documented below.
- kms_
key_ strid The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
- monitoring
Outputs Property Map Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded. Fields are documented below.
- kms
Key StringId The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.
DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputs, DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsArgs
- S3Output
Pulumi.
Aws. Sagemaker. Inputs. Data Quality Job Definition Data Quality Job Output Config Monitoring Outputs S3Output The Amazon S3 storage location where the results of a monitoring job are saved. Fields are documented below.
- S3Output
Data
Quality Job Definition Data Quality Job Output Config Monitoring Outputs S3Output The Amazon S3 storage location where the results of a monitoring job are saved. Fields are documented below.
- s3Output
Data
Quality Job Definition Data Quality Job Output Config Monitoring Outputs S3Output The Amazon S3 storage location where the results of a monitoring job are saved. Fields are documented below.
- s3Output
Data
Quality Job Definition Data Quality Job Output Config Monitoring Outputs S3Output The Amazon S3 storage location where the results of a monitoring job are saved. Fields are documented below.
- s3_
output DataQuality Job Definition Data Quality Job Output Config Monitoring Outputs S3Output The Amazon S3 storage location where the results of a monitoring job are saved. Fields are documented below.
- s3Output Property Map
The Amazon S3 storage location where the results of a monitoring job are saved. Fields are documented below.
DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsS3Output, DataQualityJobDefinitionDataQualityJobOutputConfigMonitoringOutputsS3OutputArgs
- S3Uri string
The Amazon S3 URI for the constraints resource.
- Local
Path string Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- S3Upload
Mode string Whether to upload the results of the monitoring job continuously or after the job completes. Valid values are
ContinuousorEndOfJob
- S3Uri string
The Amazon S3 URI for the constraints resource.
- Local
Path string Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- S3Upload
Mode string Whether to upload the results of the monitoring job continuously or after the job completes. Valid values are
ContinuousorEndOfJob
- s3Uri String
The Amazon S3 URI for the constraints resource.
- local
Path String Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- s3Upload
Mode String Whether to upload the results of the monitoring job continuously or after the job completes. Valid values are
ContinuousorEndOfJob
- s3Uri string
The Amazon S3 URI for the constraints resource.
- local
Path string Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- s3Upload
Mode string Whether to upload the results of the monitoring job continuously or after the job completes. Valid values are
ContinuousorEndOfJob
- s3_
uri str The Amazon S3 URI for the constraints resource.
- local_
path str Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- s3_
upload_ strmode Whether to upload the results of the monitoring job continuously or after the job completes. Valid values are
ContinuousorEndOfJob
- s3Uri String
The Amazon S3 URI for the constraints resource.
- local
Path String Path to the filesystem where the batch transform data is available to the container. Defaults to
/opt/ml/processing/input.- s3Upload
Mode String Whether to upload the results of the monitoring job continuously or after the job completes. Valid values are
ContinuousorEndOfJob
DataQualityJobDefinitionJobResources, DataQualityJobDefinitionJobResourcesArgs
- Cluster
Config Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Job Resources Cluster Config The configuration for the cluster resources used to run the processing job. Fields are documented below.
- Cluster
Config DataQuality Job Definition Job Resources Cluster Config The configuration for the cluster resources used to run the processing job. Fields are documented below.
- cluster
Config DataQuality Job Definition Job Resources Cluster Config The configuration for the cluster resources used to run the processing job. Fields are documented below.
- cluster
Config DataQuality Job Definition Job Resources Cluster Config The configuration for the cluster resources used to run the processing job. Fields are documented below.
- cluster_
config DataQuality Job Definition Job Resources Cluster Config The configuration for the cluster resources used to run the processing job. Fields are documented below.
- cluster
Config Property Map The configuration for the cluster resources used to run the processing job. Fields are documented below.
DataQualityJobDefinitionJobResourcesClusterConfig, DataQualityJobDefinitionJobResourcesClusterConfigArgs
- Instance
Count int The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1.
- Instance
Type string The ML compute instance type for the processing job.
- Volume
Size intIn Gb The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
- Volume
Kms stringKey Id The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
- Instance
Count int The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1.
- Instance
Type string The ML compute instance type for the processing job.
- Volume
Size intIn Gb The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
- Volume
Kms stringKey Id The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
- instance
Count Integer The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1.
- instance
Type String The ML compute instance type for the processing job.
- volume
Size IntegerIn Gb The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
- volume
Kms StringKey Id The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
- instance
Count number The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1.
- instance
Type string The ML compute instance type for the processing job.
- volume
Size numberIn Gb The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
- volume
Kms stringKey Id The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
- instance_
count int The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1.
- instance_
type str The ML compute instance type for the processing job.
- volume_
size_ intin_ gb The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
- volume_
kms_ strkey_ id The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
- instance
Count Number The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1.
- instance
Type String The ML compute instance type for the processing job.
- volume
Size NumberIn Gb The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.
- volume
Kms StringKey Id The AWS Key Management Service (AWS KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.
DataQualityJobDefinitionNetworkConfig, DataQualityJobDefinitionNetworkConfigArgs
- Enable
Inter boolContainer Traffic Encryption Whether to encrypt all communications between the instances used for the monitoring jobs. Choose
trueto encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.- Enable
Network boolIsolation Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
- Vpc
Config Pulumi.Aws. Sagemaker. Inputs. Data Quality Job Definition Network Config Vpc Config Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. Fields are documented below.
- Enable
Inter boolContainer Traffic Encryption Whether to encrypt all communications between the instances used for the monitoring jobs. Choose
trueto encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.- Enable
Network boolIsolation Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
- Vpc
Config DataQuality Job Definition Network Config Vpc Config Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. Fields are documented below.
- enable
Inter BooleanContainer Traffic Encryption Whether to encrypt all communications between the instances used for the monitoring jobs. Choose
trueto encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.- enable
Network BooleanIsolation Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
- vpc
Config DataQuality Job Definition Network Config Vpc Config Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. Fields are documented below.
- enable
Inter booleanContainer Traffic Encryption Whether to encrypt all communications between the instances used for the monitoring jobs. Choose
trueto encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.- enable
Network booleanIsolation Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
- vpc
Config DataQuality Job Definition Network Config Vpc Config Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. Fields are documented below.
- enable_
inter_ boolcontainer_ traffic_ encryption Whether to encrypt all communications between the instances used for the monitoring jobs. Choose
trueto encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.- enable_
network_ boolisolation Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
- vpc_
config DataQuality Job Definition Network Config Vpc Config Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. Fields are documented below.
- enable
Inter BooleanContainer Traffic Encryption Whether to encrypt all communications between the instances used for the monitoring jobs. Choose
trueto encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.- enable
Network BooleanIsolation Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.
- vpc
Config Property Map Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. Fields are documented below.
DataQualityJobDefinitionNetworkConfigVpcConfig, DataQualityJobDefinitionNetworkConfigVpcConfigArgs
- Security
Group List<string>Ids The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the
subnetsfield.- Subnets List<string>
The ID of the subnets in the VPC to which you want to connect your training job or model.
- Security
Group []stringIds The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the
subnetsfield.- Subnets []string
The ID of the subnets in the VPC to which you want to connect your training job or model.
- security
Group List<String>Ids The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the
subnetsfield.- subnets List<String>
The ID of the subnets in the VPC to which you want to connect your training job or model.
- security
Group string[]Ids The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the
subnetsfield.- subnets string[]
The ID of the subnets in the VPC to which you want to connect your training job or model.
- security_
group_ Sequence[str]ids The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the
subnetsfield.- subnets Sequence[str]
The ID of the subnets in the VPC to which you want to connect your training job or model.
- security
Group List<String>Ids The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the
subnetsfield.- subnets List<String>
The ID of the subnets in the VPC to which you want to connect your training job or model.
DataQualityJobDefinitionStoppingCondition, DataQualityJobDefinitionStoppingConditionArgs
- Max
Runtime intIn Seconds The maximum runtime allowed in seconds.
- Max
Runtime intIn Seconds The maximum runtime allowed in seconds.
- max
Runtime IntegerIn Seconds The maximum runtime allowed in seconds.
- max
Runtime numberIn Seconds The maximum runtime allowed in seconds.
- max_
runtime_ intin_ seconds The maximum runtime allowed in seconds.
- max
Runtime NumberIn Seconds The maximum runtime allowed in seconds.
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
Package Details
- Repository
- AWS Classic pulumi/pulumi-aws
- License
- Apache-2.0
- Notes
This Pulumi package is based on the
awsTerraform Provider.
Try AWS Native preview for resources not in the classic version.