Amazon Personalize Personalize Dataset Import Job API
The Personalize Dataset Import Job API from Amazon Personalize — 3 operation(s) for personalize dataset import job.
The Personalize Dataset Import Job API from Amazon Personalize — 3 operation(s) for personalize dataset import job.
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openapi: 3.2.0
info:
title: Amazon Personalize Dataset Import Job API
version: '2018-05-22'
description: Generated from AWS's published Smithy model for Amazon Personalize. 3 operation(s).
contact:
name: Amazon Web Services
url: https://aws.amazon.com/contact-us/
license:
name: Apache 2.0
identifier: Apache-2.0
url: https://github.com/aws/api-models-aws/blob/main/LICENSE
servers:
- url: https://personalize.{region}.amazonaws.com
variables:
region:
default: us-east-1
security:
- sigv4: []
tags:
- name: Dataset Import Job
paths:
/#CreateDatasetImportJob:
post:
operationId: CreateDatasetImportJob
summary: 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. If you already created a recommender or deployed a custom solution version with a campaign, how new bulk records influence recommendations depends on the domain use case or recipe that you use. For more information, see How new data influences real-time recommendations. By default, a dataset import job replaces any existing data in the dataset that you imported in bulk. To add new records without replacing existing data, specify INCREMENTAL for the import mode in the CreateDatasetImportJob operation. 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 Nam'
responses:
'200':
description: Success
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/CreateDatasetImportJobResponse'
'400':
description: InvalidInputException; TooManyTagsException
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/InvalidInputException'
'409':
description: LimitExceededException; ResourceInUseException
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/LimitExceededException'
'403':
description: ResourceAlreadyExistsException
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/ResourceAlreadyExistsException'
'404':
description: ResourceNotFoundException
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/ResourceNotFoundException'
parameters:
- name: X-Amz-Target
in: header
required: true
schema:
type: string
enum:
- AmazonPersonalize.CreateDatasetImportJob
requestBody:
required: true
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/CreateDatasetImportJobRequest'
tags:
- Dataset Import Job
/#DescribeDatasetImportJob:
post:
operationId: DescribeDatasetImportJob
summary: Describe Dataset Import Job
description: Describes the dataset import job created by CreateDatasetImportJob, including the import job status.
responses:
'200':
description: Success
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/DescribeDatasetImportJobResponse'
'400':
description: InvalidInputException
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/InvalidInputException'
'404':
description: ResourceNotFoundException
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/ResourceNotFoundException'
parameters:
- name: X-Amz-Target
in: header
required: true
schema:
type: string
enum:
- AmazonPersonalize.DescribeDatasetImportJob
requestBody:
required: true
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/DescribeDatasetImportJobRequest'
tags:
- Dataset Import Job
/#ListDatasetImportJobs:
post:
operationId: ListDatasetImportJobs
summary: List Dataset Import Jobs
description: Returns a list of dataset import jobs that use the given dataset. When a dataset is not specified, all the dataset import jobs associated with the account are listed. The response provides the properties for each dataset import job, including the Amazon Resource Name (ARN). For more information on dataset import jobs, see CreateDatasetImportJob. For more information on datasets, see CreateDataset.
responses:
'200':
description: Success
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/ListDatasetImportJobsResponse'
'400':
description: InvalidInputException; InvalidNextTokenException
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/InvalidInputException'
parameters:
- name: X-Amz-Target
in: header
required: true
schema:
type: string
enum:
- AmazonPersonalize.ListDatasetImportJobs
requestBody:
required: true
content:
application/x-amz-json-1.1:
schema:
$ref: '#/components/schemas/ListDatasetImportJobsRequest'
tags:
- Dataset Import Job
components:
schemas:
InvalidInputException:
type: object
properties:
message:
type: string
LimitExceededException:
type: object
properties:
message:
type: string
ListDatasetImportJobsRequest:
type: object
properties:
datasetArn:
type: string
description: The Amazon Resource Name (ARN) of the dataset to list the dataset import jobs for.
nextToken:
type: string
description: A token returned from the previous call to ListDatasetImportJobs for getting the next set of dataset import jobs (if they exist).
maxResults:
type: integer
description: The maximum number of dataset import jobs to return.
ResourceAlreadyExistsException:
type: object
properties:
message:
type: string
ResourceNotFoundException:
type: object
properties:
message:
type: string
ListDatasetImportJobsResponse:
type: object
properties:
datasetImportJobs:
type: array
items:
$ref: '#/components/schemas/DatasetImportJobSummary'
description: The list of dataset import jobs.
nextToken:
type: string
description: A token for getting the next set of dataset import jobs (if they exist).
DescribeDatasetImportJobResponse:
type: object
properties:
datasetImportJob:
$ref: '#/components/schemas/DatasetImportJob'
Tag:
type: object
properties:
tagKey:
type: string
description: 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:
type: string
description: The optional part of a key-value pair that makes up a tag. A value acts as a descriptor within a tag category (key).
required:
- tagKey
- tagValue
DescribeDatasetImportJobRequest:
type: object
properties:
datasetImportJobArn:
type: string
description: The Amazon Resource Name (ARN) of the dataset import job to describe.
required:
- datasetImportJobArn
DataSource:
type: object
properties:
dataLocation:
type: string
description: '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'
DatasetImportJob:
type: object
properties:
jobName:
type: string
description: The name of the import job.
datasetImportJobArn:
type: string
description: The ARN of the dataset import job.
datasetArn:
type: string
description: The Amazon Resource Name (ARN) of the dataset that receives the imported data.
dataSource:
$ref: '#/components/schemas/DataSource'
roleArn:
type: string
description: The ARN of the IAM role that has permissions to read from the Amazon S3 data source.
status:
type: string
description: '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'
creationDateTime:
type: string
format: date-time
description: The creation date and time (in Unix time) of the dataset import job.
lastUpdatedDateTime:
type: string
format: date-time
description: The date and time (in Unix time) the dataset was last updated.
failureReason:
type: string
description: If a dataset import job fails, provides the reason why.
importMode:
type: string
enum:
- FULL
- INCREMENTAL
description: The import mode used by the dataset import job to import new records.
publishAttributionMetricsToS3:
type: boolean
description: Whether the job publishes metrics to Amazon S3 for a metric attribution.
CreateDatasetImportJobRequest:
type: object
properties:
jobName:
type: string
description: The name for the dataset import job.
datasetArn:
type: string
description: The ARN of the dataset that receives the imported data.
dataSource:
$ref: '#/components/schemas/DataSource'
roleArn:
type: string
description: The ARN of the IAM role that has permissions to read from the Amazon S3 data source.
tags:
type: array
items:
$ref: '#/components/schemas/Tag'
description: A list of tags to apply to the dataset import job.
importMode:
type: string
enum:
- FULL
- INCREMENTAL
description: Specify how to add the new records to an existing dataset. The default import mode is FULL. If you haven't imported bulk records into the dataset previously, you can only specify FULL. Specify FULL to overwrite all existing bulk data in your dataset. Data you imported individually is not replaced. Specify INCREMENTAL to append the new records to the existing data in your dataset. Amazon Personalize replaces any record with the same ID with the new one.
publishAttributionMetricsToS3:
type: boolean
description: If you created a metric attribution, specify whether to publish metrics for this import job to Amazon S3
required:
- jobName
- datasetArn
- dataSource
CreateDatasetImportJobResponse:
type: object
properties:
datasetImportJobArn:
type: string
description: The ARN of the dataset import job.
DatasetImportJobSummary:
type: object
properties:
datasetImportJobArn:
type: string
description: The Amazon Resource Name (ARN) of the dataset import job.
jobName:
type: string
description: The name of the dataset import job.
status:
type: string
description: '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'
creationDateTime:
type: string
format: date-time
description: The date and time (in Unix time) that the dataset import job was created.
lastUpdatedDateTime:
type: string
format: date-time
description: The date and time (in Unix time) that the dataset import job status was last updated.
failureReason:
type: string
description: If a dataset import job fails, the reason behind the failure.
importMode:
type: string
enum:
- FULL
- INCREMENTAL
description: The import mode the dataset import job used to update the data in the dataset. For more information see Updating existing bulk data.
securitySchemes:
sigv4:
type: apiKey
in: header
name: Authorization
description: AWS Signature Version 4. The Authorization header carries an AWS4-HMAC-SHA256 signature over the canonical request, with X-Amz-Date (and X-Amz-Security-Token for temporary credentials). Not a bearer token.
x-aws-sigv4:
signingName: personalize
x-provenance:
method: harvested
publisher: Amazon Web Services
source: https://raw.githubusercontent.com/aws/api-models-aws/582e55931c45b944739742a2c1620b6026dd2d13/models/personalize/service/2018-05-22/personalize-2018-05-22.json
note: converted by smithy-to-openapi.py from AWS's Smithy model (roadmap#1001)