CreateWorkflowInputBuilder

aws_sdk_mwaaserverless::operation::create_workflow::builders

Struct CreateWorkflowInputBuilder 

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#[non_exhaustive]
pub struct CreateWorkflowInputBuilder { /* private fields */ }
Expand description

A builder for CreateWorkflowInput.

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impl CreateWorkflowInputBuilder

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pub fn name(self, input: impl Into<String>) -> Self

The name of the workflow. You must use unique workflow names within your Amazon Web Services account. The service generates a unique identifier that is appended to ensure temporal uniqueness across the account lifecycle.

This field is required.
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pub fn set_name(self, input: Option<String>) -> Self

The name of the workflow. You must use unique workflow names within your Amazon Web Services account. The service generates a unique identifier that is appended to ensure temporal uniqueness across the account lifecycle.

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pub fn get_name(&self) -> &Option<String>

The name of the workflow. You must use unique workflow names within your Amazon Web Services account. The service generates a unique identifier that is appended to ensure temporal uniqueness across the account lifecycle.

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pub fn client_token(self, input: impl Into<String>) -> Self

A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. This token prevents duplicate workflow creation requests.

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pub fn set_client_token(self, input: Option<String>) -> Self

A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. This token prevents duplicate workflow creation requests.

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pub fn get_client_token(&self) -> &Option<String>

A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. This token prevents duplicate workflow creation requests.

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pub fn definition_s3_location(self, input: DefinitionS3Location) -> Self

The Amazon S3 location where the workflow definition file is stored. This must point to a valid YAML file that defines the workflow structure using supported Amazon Web Services operators and tasks. Amazon Managed Workflows for Apache Airflow Serverless takes a snapshot of the definition at creation time, so subsequent changes to the Amazon S3 object will not affect the workflow unless you create a new version. In your YAML definition, include task dependencies, scheduling information, and operator configurations that are compatible with the Amazon Managed Workflows for Apache Airflow Serverless execution environment.

This field is required.
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pub fn set_definition_s3_location( self, input: Option<DefinitionS3Location>, ) -> Self

The Amazon S3 location where the workflow definition file is stored. This must point to a valid YAML file that defines the workflow structure using supported Amazon Web Services operators and tasks. Amazon Managed Workflows for Apache Airflow Serverless takes a snapshot of the definition at creation time, so subsequent changes to the Amazon S3 object will not affect the workflow unless you create a new version. In your YAML definition, include task dependencies, scheduling information, and operator configurations that are compatible with the Amazon Managed Workflows for Apache Airflow Serverless execution environment.

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pub fn get_definition_s3_location(&self) -> &Option<DefinitionS3Location>

The Amazon S3 location where the workflow definition file is stored. This must point to a valid YAML file that defines the workflow structure using supported Amazon Web Services operators and tasks. Amazon Managed Workflows for Apache Airflow Serverless takes a snapshot of the definition at creation time, so subsequent changes to the Amazon S3 object will not affect the workflow unless you create a new version. In your YAML definition, include task dependencies, scheduling information, and operator configurations that are compatible with the Amazon Managed Workflows for Apache Airflow Serverless execution environment.

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pub fn role_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the IAM role that Amazon Managed Workflows for Apache Airflow Serverless assumes when executing the workflow. This role must have the necessary permissions to access the required Amazon Web Services services and resources that your workflow tasks will interact with. The role is used for task execution in the isolated, multi-tenant environment and should follow the principle of least privilege. Amazon Managed Workflows for Apache Airflow Serverless validates role access during workflow creation but runtime permission checks are performed by the target services.

This field is required.
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pub fn set_role_arn(self, input: Option<String>) -> Self

The Amazon Resource Name (ARN) of the IAM role that Amazon Managed Workflows for Apache Airflow Serverless assumes when executing the workflow. This role must have the necessary permissions to access the required Amazon Web Services services and resources that your workflow tasks will interact with. The role is used for task execution in the isolated, multi-tenant environment and should follow the principle of least privilege. Amazon Managed Workflows for Apache Airflow Serverless validates role access during workflow creation but runtime permission checks are performed by the target services.

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pub fn get_role_arn(&self) -> &Option<String>

The Amazon Resource Name (ARN) of the IAM role that Amazon Managed Workflows for Apache Airflow Serverless assumes when executing the workflow. This role must have the necessary permissions to access the required Amazon Web Services services and resources that your workflow tasks will interact with. The role is used for task execution in the isolated, multi-tenant environment and should follow the principle of least privilege. Amazon Managed Workflows for Apache Airflow Serverless validates role access during workflow creation but runtime permission checks are performed by the target services.

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pub fn description(self, input: impl Into<String>) -> Self

An optional description of the workflow that you can use to provide additional context about the workflow's purpose and functionality.

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pub fn set_description(self, input: Option<String>) -> Self

An optional description of the workflow that you can use to provide additional context about the workflow's purpose and functionality.

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pub fn get_description(&self) -> &Option<String>

An optional description of the workflow that you can use to provide additional context about the workflow's purpose and functionality.

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pub fn encryption_configuration(self, input: EncryptionConfiguration) -> Self

The configuration for encrypting workflow data at rest and in transit. Specifies the encryption type and optional KMS key for customer-managed encryption.

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pub fn set_encryption_configuration( self, input: Option<EncryptionConfiguration>, ) -> Self

The configuration for encrypting workflow data at rest and in transit. Specifies the encryption type and optional KMS key for customer-managed encryption.

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pub fn get_encryption_configuration(&self) -> &Option<EncryptionConfiguration>

The configuration for encrypting workflow data at rest and in transit. Specifies the encryption type and optional KMS key for customer-managed encryption.

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pub fn logging_configuration(self, input: LoggingConfiguration) -> Self

The configuration for workflow logging. Specifies the CloudWatch log group where workflow execution logs are stored. Amazon Managed Workflows for Apache Airflow Serverless automatically exports worker logs and task-level information to the specified log group in your account using remote logging functionality. This provides comprehensive observability for debugging and monitoring workflow execution across the distributed, serverless environment.

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pub fn set_logging_configuration( self, input: Option<LoggingConfiguration>, ) -> Self

The configuration for workflow logging. Specifies the CloudWatch log group where workflow execution logs are stored. Amazon Managed Workflows for Apache Airflow Serverless automatically exports worker logs and task-level information to the specified log group in your account using remote logging functionality. This provides comprehensive observability for debugging and monitoring workflow execution across the distributed, serverless environment.

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pub fn get_logging_configuration(&self) -> &Option<LoggingConfiguration>

The configuration for workflow logging. Specifies the CloudWatch log group where workflow execution logs are stored. Amazon Managed Workflows for Apache Airflow Serverless automatically exports worker logs and task-level information to the specified log group in your account using remote logging functionality. This provides comprehensive observability for debugging and monitoring workflow execution across the distributed, serverless environment.

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pub fn engine_version(self, input: i32) -> Self

The version of the Amazon Managed Workflows for Apache Airflow Serverless engine that you want to use for this workflow. This determines the feature set, supported operators, and execution environment capabilities available to your workflow. Amazon Managed Workflows for Apache Airflow Serverless maintains backward compatibility across versions while introducing new features and improvements. Currently supports version 1 with plans for additional versions as the service evolves.

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pub fn set_engine_version(self, input: Option<i32>) -> Self

The version of the Amazon Managed Workflows for Apache Airflow Serverless engine that you want to use for this workflow. This determines the feature set, supported operators, and execution environment capabilities available to your workflow. Amazon Managed Workflows for Apache Airflow Serverless maintains backward compatibility across versions while introducing new features and improvements. Currently supports version 1 with plans for additional versions as the service evolves.

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pub fn get_engine_version(&self) -> &Option<i32>

The version of the Amazon Managed Workflows for Apache Airflow Serverless engine that you want to use for this workflow. This determines the feature set, supported operators, and execution environment capabilities available to your workflow. Amazon Managed Workflows for Apache Airflow Serverless maintains backward compatibility across versions while introducing new features and improvements. Currently supports version 1 with plans for additional versions as the service evolves.

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pub fn network_configuration(self, input: NetworkConfiguration) -> Self

Network configuration for the workflow execution environment, including VPC security groups and subnets for secure network access. When specified, Amazon Managed Workflows for Apache Airflow Serverless deploys ECS worker tasks in your customer VPC to provide secure connectivity to your resources. If not specified, tasks run in the service's default worker VPC with network isolation from other customers. This configuration enables secure access to VPC-only resources like RDS databases or private endpoints.

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pub fn set_network_configuration( self, input: Option<NetworkConfiguration>, ) -> Self

Network configuration for the workflow execution environment, including VPC security groups and subnets for secure network access. When specified, Amazon Managed Workflows for Apache Airflow Serverless deploys ECS worker tasks in your customer VPC to provide secure connectivity to your resources. If not specified, tasks run in the service's default worker VPC with network isolation from other customers. This configuration enables secure access to VPC-only resources like RDS databases or private endpoints.

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pub fn get_network_configuration(&self) -> &Option<NetworkConfiguration>

Network configuration for the workflow execution environment, including VPC security groups and subnets for secure network access. When specified, Amazon Managed Workflows for Apache Airflow Serverless deploys ECS worker tasks in your customer VPC to provide secure connectivity to your resources. If not specified, tasks run in the service's default worker VPC with network isolation from other customers. This configuration enables secure access to VPC-only resources like RDS databases or private endpoints.

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pub fn tags(self, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to tags.

To override the contents of this collection use set_tags.

A map of tags to assign to the workflow resource. Tags are key-value pairs that are used for resource organization and cost allocation.

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pub fn set_tags(self, input: Option<HashMap<String, String>>) -> Self

A map of tags to assign to the workflow resource. Tags are key-value pairs that are used for resource organization and cost allocation.

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pub fn get_tags(&self) -> &Option<HashMap<String, String>>

A map of tags to assign to the workflow resource. Tags are key-value pairs that are used for resource organization and cost allocation.

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pub fn trigger_mode(self, input: impl Into<String>) -> Self

The trigger mode for the workflow execution.

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pub fn set_trigger_mode(self, input: Option<String>) -> Self

The trigger mode for the workflow execution.

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pub fn get_trigger_mode(&self) -> &Option<String>

The trigger mode for the workflow execution.

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pub fn build(self) -> Result<CreateWorkflowInput, BuildError>

Consumes the builder and constructs a CreateWorkflowInput.

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impl CreateWorkflowInputBuilder

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pub async fn send_with( self, client: &Client, ) -> Result<CreateWorkflowOutput, SdkError<CreateWorkflowError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations§

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impl Clone for CreateWorkflowInputBuilder

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fn clone(&self) -> CreateWorkflowInputBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for CreateWorkflowInputBuilder

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for CreateWorkflowInputBuilder

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fn default() -> CreateWorkflowInputBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for CreateWorkflowInputBuilder

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fn eq(&self, other: &CreateWorkflowInputBuilder) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for CreateWorkflowInputBuilder

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