data_quality_job_definitions
Creates, updates, deletes, gets or lists a data_quality_job_definitions resource.
Overview
| Name | data_quality_job_definitions |
| Type | Resource |
| Id | aws.sagemaker.data_quality_job_definitions |
Fields
The following fields are returned by SELECT queries:
- describe_data_quality_job_definition
- list_data_quality_job_definitions
| Name | Datatype | Description |
|---|---|---|
creation_time | string (date-time) | The time that the data quality monitoring job definition was created. |
data_quality_app_specification | object | Information about the container that runs the data quality monitoring job. |
data_quality_baseline_config | object | The constraints and baselines for the data quality monitoring job definition. |
data_quality_job_input | object | The list of inputs for the data quality monitoring job. Currently endpoints are supported. |
data_quality_job_output_config | object | The output configuration for monitoring jobs. |
job_definition_arn | string | The Amazon Resource Name (ARN) of the data quality monitoring job definition. (pattern: <code>.*</code>) |
job_definition_name | string | The name of the data quality monitoring job definition. (pattern: <code>[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}</code>) |
job_resources | object | Identifies the resources to deploy for a monitoring job. |
network_config | object | The networking configuration for the data quality monitoring job. |
role_arn | string | The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf. (pattern: <code>arn:aws[a-z-]*:iam::\d{12}:role/?[a-zA-Z_0-9+=,.@-_/]+</code>) |
stopping_condition | object | A time limit for how long the monitoring job is allowed to run before stopping. |
| Name | Datatype | Description |
|---|---|---|
creation_time | string (date-time) | The time that the monitoring job was created. |
endpoint_name | string | The name of the endpoint that the job monitors. (pattern: <code>[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}</code>) |
monitoring_job_definition_arn | string | The Amazon Resource Name (ARN) of the monitoring job. (pattern: <code>.*</code>) |
monitoring_job_definition_name | string | The name of the monitoring job. (pattern: <code>[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}</code>) |
Methods
The following methods are available for this resource:
| Name | Accessible by | Required Params | Optional Params | Description |
|---|---|---|---|---|
describe_data_quality_job_definition | select | region | Gets the details of a data quality monitoring job definition. | |
list_data_quality_job_definitions | select | region | Lists the data quality job definitions in your account. | |
create_data_quality_job_definition | insert | region, JobDefinitionName, DataQualityAppSpecification, DataQualityJobInput, DataQualityJobOutputConfig, JobResources, RoleArn | Creates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor. | |
delete_data_quality_job_definition | delete | region | Deletes a data quality monitoring job definition. |
Parameters
Parameters can be passed in the WHERE clause of a query. Check the Methods section to see which parameters are required or optional for each operation.
| Name | Datatype | Description |
|---|---|---|
region | string | AWS region (default: us-east-1) |
SELECT examples
- describe_data_quality_job_definition
- list_data_quality_job_definitions
Gets the details of a data quality monitoring job definition.
SELECT
creation_time,
data_quality_app_specification,
data_quality_baseline_config,
data_quality_job_input,
data_quality_job_output_config,
job_definition_arn,
job_definition_name,
job_resources,
network_config,
role_arn,
stopping_condition
FROM aws.sagemaker.data_quality_job_definitions
WHERE region = '{{ region }}' -- required
;
Lists the data quality job definitions in your account.
SELECT
creation_time,
endpoint_name,
monitoring_job_definition_arn,
monitoring_job_definition_name
FROM aws.sagemaker.data_quality_job_definitions
WHERE region = '{{ region }}' -- required
;
INSERT examples
- create_data_quality_job_definition
- Manifest
Creates a definition for a job that monitors data quality and drift. For information about model monitor, see Amazon SageMaker AI Model Monitor.
INSERT INTO aws.sagemaker.data_quality_job_definitions (
JobDefinitionName,
DataQualityBaselineConfig,
DataQualityAppSpecification,
DataQualityJobInput,
DataQualityJobOutputConfig,
JobResources,
NetworkConfig,
RoleArn,
StoppingCondition,
Tags,
region
)
SELECT
'{{ JobDefinitionName }}' /* required */,
'{{ DataQualityBaselineConfig }}',
'{{ DataQualityAppSpecification }}' /* required */,
'{{ DataQualityJobInput }}' /* required */,
'{{ DataQualityJobOutputConfig }}' /* required */,
'{{ JobResources }}' /* required */,
'{{ NetworkConfig }}',
'{{ RoleArn }}' /* required */,
'{{ StoppingCondition }}',
'{{ Tags }}',
'{{ region }}'
RETURNING
job_definition_arn
;
# Description fields are for documentation purposes
- name: data_quality_job_definitions
props:
- name: region
value: "{{ region }}"
description: Required parameter for the data_quality_job_definitions resource.
- name: JobDefinitionName
value: "{{ JobDefinitionName }}"
description: |
The name for the monitoring job definition.
- name: DataQualityBaselineConfig
description: |
Configures the constraints and baselines for the monitoring job.
value:
BaseliningJobName: "{{ BaseliningJobName }}"
ConstraintsResource:
S3Uri: "{{ S3Uri }}"
StatisticsResource:
S3Uri: "{{ S3Uri }}"
- name: DataQualityAppSpecification
description: |
Specifies the container that runs the monitoring job.
value:
ImageUri: "{{ ImageUri }}"
ContainerEntrypoint:
- "{{ ContainerEntrypoint }}"
ContainerArguments:
- "{{ ContainerArguments }}"
RecordPreprocessorSourceUri: "{{ RecordPreprocessorSourceUri }}"
PostAnalyticsProcessorSourceUri: "{{ PostAnalyticsProcessorSourceUri }}"
Environment: "{{ Environment }}"
- name: DataQualityJobInput
description: |
A list of inputs for the monitoring job. Currently endpoints are supported as monitoring inputs.
value:
EndpointInput:
EndpointName: "{{ EndpointName }}"
LocalPath: "{{ LocalPath }}"
S3InputMode: "{{ S3InputMode }}"
S3DataDistributionType: "{{ S3DataDistributionType }}"
FeaturesAttribute: "{{ FeaturesAttribute }}"
InferenceAttribute: "{{ InferenceAttribute }}"
ProbabilityAttribute: "{{ ProbabilityAttribute }}"
ProbabilityThresholdAttribute: {{ ProbabilityThresholdAttribute }}
StartTimeOffset: "{{ StartTimeOffset }}"
EndTimeOffset: "{{ EndTimeOffset }}"
ExcludeFeaturesAttribute: "{{ ExcludeFeaturesAttribute }}"
BatchTransformInput:
DataCapturedDestinationS3Uri: "{{ DataCapturedDestinationS3Uri }}"
DatasetFormat:
Csv:
Header: {{ Header }}
Json:
Line: {{ Line }}
Parquet: "{{ Parquet }}"
LocalPath: "{{ LocalPath }}"
S3InputMode: "{{ S3InputMode }}"
S3DataDistributionType: "{{ S3DataDistributionType }}"
FeaturesAttribute: "{{ FeaturesAttribute }}"
InferenceAttribute: "{{ InferenceAttribute }}"
ProbabilityAttribute: "{{ ProbabilityAttribute }}"
ProbabilityThresholdAttribute: {{ ProbabilityThresholdAttribute }}
StartTimeOffset: "{{ StartTimeOffset }}"
EndTimeOffset: "{{ EndTimeOffset }}"
ExcludeFeaturesAttribute: "{{ ExcludeFeaturesAttribute }}"
- name: DataQualityJobOutputConfig
description: |
The output configuration for monitoring jobs.
value:
MonitoringOutputs:
- S3Output:
S3Uri: "{{ S3Uri }}"
LocalPath: "{{ LocalPath }}"
S3UploadMode: "{{ S3UploadMode }}"
KmsKeyId: "{{ KmsKeyId }}"
- name: JobResources
description: |
Identifies the resources to deploy for a monitoring job.
value:
ClusterConfig:
InstanceCount: {{ InstanceCount }}
InstanceType: "{{ InstanceType }}"
VolumeSizeInGB: {{ VolumeSizeInGB }}
VolumeKmsKeyId: "{{ VolumeKmsKeyId }}"
- name: NetworkConfig
description: |
Specifies networking configuration for the monitoring job.
value:
EnableInterContainerTrafficEncryption: {{ EnableInterContainerTrafficEncryption }}
EnableNetworkIsolation: {{ EnableNetworkIsolation }}
VpcConfig:
SecurityGroupIds:
- "{{ SecurityGroupIds }}"
Subnets:
- "{{ Subnets }}"
- name: RoleArn
value: "{{ RoleArn }}"
description: |
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
- name: StoppingCondition
description: |
A time limit for how long the monitoring job is allowed to run before stopping.
value:
MaxRuntimeInSeconds: {{ MaxRuntimeInSeconds }}
- name: Tags
description: |
(Optional) An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.
value:
- Key: "{{ Key }}"
Value: "{{ Value }}"
DELETE examples
- delete_data_quality_job_definition
Deletes a data quality monitoring job definition.
DELETE FROM aws.sagemaker.data_quality_job_definitions
WHERE region = '{{ region }}' --required
;