| Column Name | Column Data Type |
|---|
monitor_arn Required Input Column
The Amazon Resource Name (ARN) of the monitor resource. | VARCHAR |
filters Input Column
An array of filters. For each filter, provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the resources that match the statement from the list. The match statement consists of a key and a value. Filter properties -
Condition - The condition to apply. Valid values are IS and IS_NOT. -
Key - The name of the parameter to filter on. The only valid value is EvaluationState. -
Value - The value to match. Valid values are only SUCCESS or FAILURE. For example, to list only successful monitor evaluations, you would specify: "Filters": [ { "Condition": "IS", "Key": "EvaluationState", "Value": "SUCCESS" } ] | STRUCT(
"key" VARCHAR,
"value" VARCHAR,
"condition" VARCHAR
)[] |
Show child fields- filters[]
Show child fields- filters[].condition
The condition to apply. To include the objects that match the statement, specify IS. To exclude matching objects, specify IS_NOT. - filters[].key
The name of the parameter to filter on. - filters[].value
The value to match.
|
_aws_profile Input Column
The AWS profile defines the AWS identity used. It can be defined via credentials or by assuming a IAM role. | STRUCT(
"type" VARCHAR,
"name" VARCHAR,
"account_id" VARCHAR,
"via_profile_name" VARCHAR,
"assumed_role_arn" VARCHAR,
"organization" STRUCT(
"account_name" VARCHAR,
"id" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[],
"master_account" STRUCT(
"id" VARCHAR,
"email" VARCHAR
),
"parents" STRUCT(
"type" VARCHAR,
"id" VARCHAR,
"name" VARCHAR,
"tags" STRUCT(
"key" VARCHAR,
"value" VARCHAR
)[]
)[]
)
) |
Show child fields- _aws_profile.account_id
The AWS account id - _aws_profile.assumed_role_arn
The ARN of the assumed role - _aws_profile.name
The unique name of the profile. - _aws_profile.organization
Information about this profile's membership in the AWS organization. Show child fields- _aws_profile.organization.account_name
The name of account speciifed by the organization - _aws_profile.organization.id
The organization id - _aws_profile.organization.master_account
Show child fields- _aws_profile.organization.master_account.email
The organization master account email address - _aws_profile.organization.master_account.id
The organization master account id
- _aws_profile.organization.parents[]
Show child fields- _aws_profile.organization.parents[].id
The id of the parent - _aws_profile.organization.parents[].name
The name of the parent - _aws_profile.organization.parents[].tags[]
Show child fields- _aws_profile.organization.parents[].tags[].key
- _aws_profile.organization.parents[].tags[].value
- _aws_profile.organization.parents[].type
The type of parent can be an organization unit or a root
- _aws_profile.organization.tags[]
Show child fields- _aws_profile.organization.tags[].key
- _aws_profile.organization.tags[].value
- _aws_profile.type
The type of profile, either 'credentials' or 'assumed_role' - _aws_profile.via_profile_name
This IAM role for this profile is assumed by first utilizing another profile with this name to obtain credentials.
|
_aws_region Input Column
The AWS region to use. | VARCHAR |
evaluation_state
The status of the monitor evaluation. The state can be SUCCESS or FAILURE. | VARCHAR |
evaluation_time
The timestamp that indicates when the monitor evaluation was started. | TIMESTAMP_S |
message
Information about any errors that may have occurred during the monitor evaluation. | VARCHAR |
metric_results
A list of metrics Forecast calculated when monitoring a predictor. You can compare the value for each metric in the list to the metric's value in the Baseline to see how your predictor's performance is changing. | STRUCT(
"metric_name" VARCHAR,
"metric_value" DOUBLE
)[] |
Show child fields- metric_results[]
Show child fields- metric_results[].metric_name
The name of the metric. - metric_results[].metric_value
The value for the metric.
|
monitor_data_source
The source of the data the monitor resource used during the evaluation. | STRUCT(
"dataset_import_job_arn" VARCHAR,
"forecast_arn" VARCHAR,
"predictor_arn" VARCHAR
) |
Show child fields- monitor_data_source.dataset_import_job_arn
The Amazon Resource Name (ARN) of the dataset import job used to import the data that initiated the monitor evaluation. - monitor_data_source.forecast_arn
The Amazon Resource Name (ARN) of the forecast the monitor used during the evaluation. - monitor_data_source.predictor_arn
The Amazon Resource Name (ARN) of the predictor resource you are monitoring.
|
num_items_evaluated
The number of items considered during the evaluation. | BIGINT |
predictor_event
Provides details about a predictor event, such as a retraining. | STRUCT(
"detail" VARCHAR,
"datetime" TIMESTAMP_S
) |
Show child fields- predictor_event.datetime
The timestamp for when the event occurred. - predictor_event.detail
The type of event. For example, Retrain. A retraining event denotes the timepoint when a predictor was retrained. Any monitor results from before the Datetime are from the previous predictor. Any new metrics are for the newly retrained predictor.
|
resource_arn
The Amazon Resource Name (ARN) of the resource to monitor. | VARCHAR |
window_end_datetime
The timestamp that indicates the end of the window that is used for monitor evaluation. | TIMESTAMP_S |
window_start_datetime
The timestamp that indicates the start of the window that is used for monitor evaluation. | TIMESTAMP_S |