| Column Name | Column Data Type |
|---|
dataset_import_job_arn Required Input Column
The ARN of the dataset import job. | VARCHAR |
_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 |
creation_time
When the dataset import job was created. | TIMESTAMP_S |
data_size
The size of the dataset in gigabytes (GB) after the import job has finished. | DOUBLE |
data_source
The location of the training data to import and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the data. If encryption is used, DataSource includes an Key Management Service (KMS) key. | STRUCT(
"s3_config" STRUCT(
"path" VARCHAR,
"role_arn" VARCHAR,
"kms_key_arn" VARCHAR
)
) |
Show child fields- data_source.s3_config
The path to the data stored in an Amazon Simple Storage Service (Amazon S3) bucket along with the credentials to access the data. Show child fields- data_source.s3_config.kms_key_arn
The Amazon Resource Name (ARN) of an Key Management Service (KMS) key. - data_source.s3_config.path
The path to an Amazon Simple Storage Service (Amazon S3) bucket or file(s) in an Amazon S3 bucket. - data_source.s3_config.role_arn
The ARN of the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the Amazon S3 bucket or files. If you provide a value for the KMSKeyArn key, the role must allow access to the key. Passing a role across Amazon Web Services accounts is not allowed. If you pass a role that isn't in your account, you get an InvalidInputException error.
|
dataset_arn
The Amazon Resource Name (ARN) of the dataset that the training data was imported to. | VARCHAR |
dataset_import_job_name
The name of the dataset import job. | VARCHAR |
estimated_time_remaining_in_minutes
The estimated time remaining in minutes for the dataset import job to complete. | BIGINT |
field_statistics
Statistical information about each field in the input data. | MAP(VARCHAR, STRUCT(
"count" BIGINT,
"count_distinct" BIGINT,
"count_null" BIGINT,
"count_nan" BIGINT,
"min" VARCHAR,
"max" VARCHAR,
"avg" DOUBLE,
"stddev" DOUBLE,
"count_long" BIGINT,
"count_distinct_long" BIGINT,
"count_null_long" BIGINT,
"count_nan_long" BIGINT
)) |
format
The format of the imported data, CSV or PARQUET. | VARCHAR |
geolocation_format
The format of the geolocation attribute. Valid Values:"LAT_LONG" and "CC_POSTALCODE". | VARCHAR |
import_mode
The import mode of the dataset import job, FULL or INCREMENTAL. | VARCHAR |
last_modification_time
The last time the resource was modified. The timestamp depends on the status of the job: -
CREATE_PENDING - The CreationTime. -
CREATE_IN_PROGRESS - The current timestamp. -
CREATE_STOPPING - The current timestamp. -
CREATE_STOPPED - When the job stopped. -
ACTIVE or CREATE_FAILED - When the job finished or failed. | TIMESTAMP_S |
message
If an error occurred, an informational message about the error. | VARCHAR |
status
The status of the dataset import job. States include: -
ACTIVE -
CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED -
DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED -
CREATE_STOPPING, CREATE_STOPPED | VARCHAR |
time_zone
The single time zone applied to every item in the dataset | VARCHAR |
timestamp_format
The format of timestamps in the dataset. The format that you specify depends on the DataFrequency specified when the dataset was created. The following formats are supported -
"yyyy-MM-dd" For the following data frequencies: Y, M, W, and D -
"yyyy-MM-dd HH:mm:ss" For the following data frequencies: H, 30min, 15min, and 1min; and optionally, for: Y, M, W, and D | VARCHAR |
use_geolocation_for_time_zone
Whether TimeZone is automatically derived from the geolocation attribute. | BOOLEAN |