Start Data Quality Rule Recommendation Run
| glue_start_data_quality_rule_recommendation_run | R Documentation |
Starts a recommendation run that is used to generate rules when you don't know what rules to write¶
Description¶
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.
Recommendation runs are automatically deleted after 90 days.
Usage¶
glue_start_data_quality_rule_recommendation_run(DataSource, Role,
NumberOfWorkers, Timeout, CreatedRulesetName,
DataQualitySecurityConfiguration, ClientToken)
Arguments¶
DataSource |
[required] The data source (Glue table) associated with this run. |
Role |
[required] An IAM role supplied to encrypt the results of the run. |
NumberOfWorkers |
The number of |
Timeout |
The timeout for a run in minutes. This is the maximum time that a
run can consume resources before it is terminated and enters
|
CreatedRulesetName |
A name for the ruleset. |
DataQualitySecurityConfiguration |
The name of the security configuration created with the data quality encryption option. |
ClientToken |
Used for idempotency and is recommended to be set to a random ID (such as a UUID) to avoid creating or starting multiple instances of the same resource. |
Value¶
A list with the following syntax:
list(
RunId = "string"
)
Request syntax¶
svc$start_data_quality_rule_recommendation_run(
DataSource = list(
GlueTable = list(
DatabaseName = "string",
TableName = "string",
CatalogId = "string",
ConnectionName = "string",
AdditionalOptions = list(
"string"
)
)
),
Role = "string",
NumberOfWorkers = 123,
Timeout = 123,
CreatedRulesetName = "string",
DataQualitySecurityConfiguration = "string",
ClientToken = "string"
)