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Once you have a ruleset definition (either recommended or your own), you call this operation to evaluate the ruleset against a data source (Glue table)

Source: R/glue_operations.R
glue_start_data_quality_ruleset_evaluation_run.Rd

Once you have a ruleset definition (either recommended or your own), you call this operation to evaluate the ruleset against a data source (Glue table). The evaluation computes results which you can retrieve with the get_data_quality_result API.

See https://www.paws-r-sdk.com/docs/glue_start_data_quality_ruleset_evaluation_run/ for full documentation.

Usage

glue_start_data_quality_ruleset_evaluation_run(
  DataSource,
  Role,
  NumberOfWorkers = NULL,
  Timeout = NULL,
  ClientToken = NULL,
  AdditionalRunOptions = NULL,
  RulesetNames,
  AdditionalDataSources = NULL
)

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 G.1X workers to be used in the run. The default is 5.

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 TIMEOUT status. The default is 2,880 minutes (48 hours).

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.

AdditionalRunOptions

Additional run options you can specify for an evaluation run.

RulesetNames

[required] A list of ruleset names.

AdditionalDataSources

A map of reference strings to additional data sources you can specify for an evaluation run.