EmrServerlessComputeConfig.Builder (AWS SDK for Java - 2.27.12)

All Superinterfaces:: Buildable, CopyableBuilder<EmrServerlessComputeConfig.Builder,EmrServerlessComputeConfig>, SdkBuilder<EmrServerlessComputeConfig.Builder,EmrServerlessComputeConfig>, SdkPojo

Enclosing class:: EmrServerlessComputeConfig

public static interface EmrServerlessComputeConfig.Builder extends SdkPojo, CopyableBuilder<EmrServerlessComputeConfig.Builder,EmrServerlessComputeConfig>

Method Summary

Modifier and Type

Method

Description

EmrServerlessComputeConfig.Builder

executionRoleARN(String executionRoleARN)

The ARN of the IAM role granting the AutoML job V2 the necessary permissions access policies to list, connect to, or manage EMR Serverless jobs.

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder
copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build

Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFields

Method Details
- executionRoleARN
  
  EmrServerlessComputeConfig.Builder executionRoleARN(String executionRoleARN)
  
  The ARN of the IAM role granting the AutoML job V2 the necessary permissions access policies to list, connect to, or manage EMR Serverless jobs. For detailed information about the required permissions of this role, see "How to configure AutoML to initiate a remote job on EMR Serverless for large datasets" in Create a regression or classification job for tabular data using the AutoML API or Create an AutoML job for time-series forecasting using the API.
  
  Parameters:
  
  executionRoleARN - The ARN of the IAM role granting the AutoML job V2 the necessary permissions access policies to list, connect to, or manage EMR Serverless jobs. For detailed information about the required permissions of this role, see "How to configure AutoML to initiate a remote job on EMR Serverless for large datasets" in Create a regression or classification job for tabular data using the AutoML API or Create an AutoML job for time-series forecasting using the API.
  
  Returns:
  
  Returns a reference to this object so that method calls can be chained together.