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aws.personalize.describe_dataset_import_job

Example SQL Queries

SELECT * FROM
aws.personalize.describe_dataset_import_job
WHERE
"dataset_import_job_arn" = 'VALUE';

Description

Describes the dataset import job created by CreateDatasetImportJob, including the import job status.

Table Definition

Column NameColumn Data Type
dataset_import_job_arn Required Input Column

The Amazon Resource Name (ARN) of the dataset import job to describe.

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
dataset_import_job

Information about the dataset import job, including the status.

The status is one of the following values:

  • CREATE PENDING

  • CREATE IN_PROGRESS

  • ACTIVE

  • CREATE FAILED

STRUCT(
"job_name" VARCHAR,
"dataset_import_job_arn" VARCHAR,
"dataset_arn" VARCHAR,
"data_source" STRUCT(
"data_location" VARCHAR
),
"role_arn" VARCHAR,
"status" VARCHAR,
"creation_date_time" TIMESTAMP_S,
"last_updated_date_time" TIMESTAMP_S,
"failure_reason" VARCHAR,
"import_mode" VARCHAR,
"publish_attribution_metrics_to_s3" BOOLEAN
)
Show child fields
dataset_import_job.creation_date_time

The creation date and time (in Unix time) of the dataset import job.

dataset_import_job.data_source

The Amazon S3 bucket that contains the training data to import.

Show child fields
dataset_import_job.data_source.data_location

For dataset import jobs, the path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For data deletion jobs, the path to the Amazon S3 bucket that stores the list of records to delete.

For example:

s3://bucket-name/folder-name/fileName.csv

If your CSV files are in a folder in your Amazon S3 bucket and you want your import job or data deletion job to consider multiple files, you can specify the path to the folder. With a data deletion job, Amazon Personalize uses all files in the folder and any sub folder. Use the following syntax with a / after the folder name:

s3://bucket-name/folder-name/

dataset_import_job.dataset_arn

The Amazon Resource Name (ARN) of the dataset that receives the imported data.

dataset_import_job.dataset_import_job_arn

The ARN of the dataset import job.

dataset_import_job.failure_reason

If a dataset import job fails, provides the reason why.

dataset_import_job.import_mode

The import mode used by the dataset import job to import new records.

dataset_import_job.job_name

The name of the import job.

dataset_import_job.last_updated_date_time

The date and time (in Unix time) the dataset was last updated.

dataset_import_job.publish_attribution_metrics_to_s3

Whether the job publishes metrics to Amazon S3 for a metric attribution.

dataset_import_job.role_arn

The ARN of the IAM role that has permissions to read from the Amazon S3 data source.

dataset_import_job.status

The status of the dataset import job.

A dataset import job can be in one of the following states:

  • CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED