start_data_quality_rule_recommendation_run
(**kwargs)¶Starts a recommendation run that is used to generate rules when you don't know what rules to write. Glue Data Quality analyzes the data and comes up with recommendations for a potential ruleset. You can then triage the ruleset and modify the generated ruleset to your liking.
See also: AWS API Documentation
Request Syntax
response = client.start_data_quality_rule_recommendation_run(
DataSource={
'GlueTable': {
'DatabaseName': 'string',
'TableName': 'string',
'CatalogId': 'string',
'ConnectionName': 'string',
'AdditionalOptions': {
'string': 'string'
}
}
},
Role='string',
NumberOfWorkers=123,
Timeout=123,
CreatedRulesetName='string',
ClientToken='string'
)
[REQUIRED]
The data source (Glue table) associated with this run.
An Glue table.
A database name in the Glue Data Catalog.
A table name in the Glue Data Catalog.
A unique identifier for the Glue Data Catalog.
The name of the connection to the Glue Data Catalog.
Additional options for the table. Currently there are two keys supported:
pushDownPredicate
: to filter on partitions without having to list and read all the files in your dataset.catalogPartitionPredicate
: to use server-side partition pruning using partition indexes in the Glue Data Catalog.[REQUIRED]
An IAM role supplied to encrypt the results of the run.
G.1X
workers to be used in the run. The default is 5.TIMEOUT
status. The default is 2,880 minutes (48 hours).dict
Response Syntax
{
'RunId': 'string'
}
Response Structure
(dict) --
RunId (string) --
The unique run identifier associated with this run.
Exceptions
Glue.Client.exceptions.InvalidInputException
Glue.Client.exceptions.OperationTimeoutException
Glue.Client.exceptions.InternalServiceException
Glue.Client.exceptions.ConflictException