CleanRoomsML / Client / start_audience_generation_job
start_audience_generation_job#
- CleanRoomsML.Client.start_audience_generation_job(**kwargs)#
Information necessary to start the audience generation job.
See also: AWS API Documentation
Request Syntax
response = client.start_audience_generation_job( name='string', configuredAudienceModelArn='string', seedAudience={ 'dataSource': { 's3Uri': 'string' }, 'roleArn': 'string', 'sqlParameters': { 'queryString': 'string', 'analysisTemplateArn': 'string', 'parameters': { 'string': 'string' } }, 'sqlComputeConfiguration': { 'worker': { 'type': 'CR.1X'|'CR.4X', 'number': 123 } } }, includeSeedInOutput=True|False, collaborationId='string', description='string', tags={ 'string': 'string' } )
- Parameters:
name (string) –
[REQUIRED]
The name of the audience generation job.
configuredAudienceModelArn (string) –
[REQUIRED]
The Amazon Resource Name (ARN) of the configured audience model that is used for this audience generation job.
seedAudience (dict) –
[REQUIRED]
The seed audience that is used to generate the audience.
dataSource (dict) –
Defines the Amazon S3 bucket where the seed audience for the generating audience is stored. A valid data source is a JSON line file in the following format:
{"user_id": "111111"}
{"user_id": "222222"}
...
s3Uri (string) – [REQUIRED]
The Amazon S3 location URI.
roleArn (string) – [REQUIRED]
The ARN of the IAM role that can read the Amazon S3 bucket where the seed audience is stored.
sqlParameters (dict) –
The protected SQL query parameters.
queryString (string) –
The query string to be submitted.
analysisTemplateArn (string) –
The Amazon Resource Name (ARN) associated with the analysis template within a collaboration.
parameters (dict) –
The protected query SQL parameters.
(string) –
(string) –
sqlComputeConfiguration (dict) –
Provides configuration information for the instances that will perform the compute work.
Note
This is a Tagged Union structure. Only one of the following top level keys can be set:
worker
.worker (dict) –
The worker instances that will perform the compute work.
type (string) –
The instance type of the compute workers that are used.
number (integer) –
The number of compute workers that are used.
includeSeedInOutput (boolean) – Whether the seed audience is included in the audience generation output.
collaborationId (string) – The identifier of the collaboration that contains the audience generation job.
description (string) – The description of the audience generation job.
tags (dict) –
The optional metadata that you apply to the resource to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define.
The following basic restrictions apply to tags:
Maximum number of tags per resource - 50.
For each resource, each tag key must be unique, and each tag key can have only one value.
Maximum key length - 128 Unicode characters in UTF-8.
Maximum value length - 256 Unicode characters in UTF-8.
If your tagging schema is used across multiple services and resources, remember that other services may have restrictions on allowed characters. Generally allowed characters are: letters, numbers, and spaces representable in UTF-8, and the following characters: + - = . _ : / @.
Tag keys and values are case sensitive.
Do not use aws:, AWS:, or any upper or lowercase combination of such as a prefix for keys as it is reserved for AWS use. You cannot edit or delete tag keys with this prefix. Values can have this prefix. If a tag value has aws as its prefix but the key does not, then Clean Rooms ML considers it to be a user tag and will count against the limit of 50 tags. Tags with only the key prefix of aws do not count against your tags per resource limit.
(string) –
(string) –
- Return type:
dict
- Returns:
Response Syntax
{ 'audienceGenerationJobArn': 'string' }
Response Structure
(dict) –
audienceGenerationJobArn (string) –
The Amazon Resource Name (ARN) of the audience generation job.
Exceptions