Interface EmrServerlessComputeConfig.Builder
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- 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>
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Method Summary
All Methods Instance Methods Abstract Methods 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
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Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder
applyMutation, build
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Methods inherited from interface software.amazon.awssdk.core.SdkPojo
equalsBySdkFields, sdkFields
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Method Detail
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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.
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