[ aws . personalize ]
create-dataset-import-job¶
Description¶
Creates a job that imports training data from your data source (an Amazon S3 bucket) to an Amazon Personalize dataset. To allow Amazon Personalize to import the training data, you must specify an IAM service role that has permission to read from the data source, as Amazon Personalize makes a copy of your data and processes it internally. For information on granting access to your Amazon S3 bucket, see Giving Amazon Personalize Access to Amazon S3 Resources .
Warning
The dataset import job replaces any existing data in the dataset that you imported in bulk.
Status
A dataset import job can be in one of the following states:
CREATE PENDING > CREATE IN_PROGRESS > ACTIVE -or- CREATE FAILED
To get the status of the import job, call DescribeDatasetImportJob , providing the Amazon Resource Name (ARN) of the dataset import job. The dataset import is complete when the status shows as ACTIVE. If the status shows as CREATE FAILED, the response includes a failureReason key, which describes why the job failed.
Note
Importing takes time. You must wait until the status shows as ACTIVE before training a model using the dataset.
Related APIs
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
Synopsis¶
create-dataset-import-job
--job-name <value>
--dataset-arn <value>
--data-source <value>
--role-arn <value>
[--tags <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
Options¶
--job-name (string)
The name for the dataset import job.
--dataset-arn (string)
The ARN of the dataset that receives the imported data.
--data-source (structure)
The Amazon S3 bucket that contains the training data to import.
dataLocation -> (string)
The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For example:
s3://bucket-name/folder-name/
Shorthand Syntax:
dataLocation=string
JSON Syntax:
{
"dataLocation": "string"
}
--role-arn (string)
The ARN of the IAM role that has permissions to read from the Amazon S3 data source.
--tags (list)
A list of tags to apply to the dataset import job.
(structure)
The optional metadata that you apply to resources to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. For more information see Tagging Personalize resources .
tagKey -> (string)
One part of a key-value pair that makes up a tag. A key is a general label that acts like a category for more specific tag values.
tagValue -> (string)
The optional part of a key-value pair that makes up a tag. A value acts as a descriptor within a tag category (key).
Shorthand Syntax:
tagKey=string,tagValue=string ...
JSON Syntax:
[
{
"tagKey": "string",
"tagValue": "string"
}
...
]
--cli-input-json | --cli-input-yaml (string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.
--generate-cli-skeleton (string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
See ‘aws help’ for descriptions of global parameters.