Struct UpdateEnvironmentFluentBuilder

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pub struct UpdateEnvironmentFluentBuilder { /* private fields */ }
Expand description

Fluent builder constructing a request to UpdateEnvironment.

Updates an Amazon Managed Workflows for Apache Airflow (MWAA) environment.

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impl UpdateEnvironmentFluentBuilder

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pub fn as_input(&self) -> &UpdateEnvironmentInputBuilder

Access the UpdateEnvironment as a reference.

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pub async fn send( self, ) -> Result<UpdateEnvironmentOutput, SdkError<UpdateEnvironmentError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

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pub fn customize( self, ) -> CustomizableOperation<UpdateEnvironmentOutput, UpdateEnvironmentError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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

The name of your Amazon MWAA environment. For example, MyMWAAEnvironment.

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

The name of your Amazon MWAA environment. For example, MyMWAAEnvironment.

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

The name of your Amazon MWAA environment. For example, MyMWAAEnvironment.

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

The Amazon Resource Name (ARN) of the execution role in IAM that allows MWAA to access Amazon Web Services resources in your environment. For example, arn:aws:iam::123456789:role/my-execution-role. For more information, see Amazon MWAA Execution role.

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

The Amazon Resource Name (ARN) of the execution role in IAM that allows MWAA to access Amazon Web Services resources in your environment. For example, arn:aws:iam::123456789:role/my-execution-role. For more information, see Amazon MWAA Execution role.

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

The Amazon Resource Name (ARN) of the execution role in IAM that allows MWAA to access Amazon Web Services resources in your environment. For example, arn:aws:iam::123456789:role/my-execution-role. For more information, see Amazon MWAA Execution role.

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

Adds a key-value pair to AirflowConfigurationOptions.

To override the contents of this collection use set_airflow_configuration_options.

A list of key-value pairs containing the Apache Airflow configuration options you want to attach to your environment. For more information, see Apache Airflow configuration options.

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

A list of key-value pairs containing the Apache Airflow configuration options you want to attach to your environment. For more information, see Apache Airflow configuration options.

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

A list of key-value pairs containing the Apache Airflow configuration options you want to attach to your environment. For more information, see Apache Airflow configuration options.

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

The Apache Airflow version for your environment. To upgrade your environment, specify a newer version of Apache Airflow supported by Amazon MWAA.

Before you upgrade an environment, make sure your requirements, DAGs, plugins, and other resources used in your workflows are compatible with the new Apache Airflow version. For more information about updating your resources, see Upgrading an Amazon MWAA environment.

Valid values: 1.10.12, 2.0.2, 2.2.2, 2.4.3, 2.5.1, 2.6.3, 2.7.2, 2.8.1, 2.9.2, 2.10.1, and 2.10.3.

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

The Apache Airflow version for your environment. To upgrade your environment, specify a newer version of Apache Airflow supported by Amazon MWAA.

Before you upgrade an environment, make sure your requirements, DAGs, plugins, and other resources used in your workflows are compatible with the new Apache Airflow version. For more information about updating your resources, see Upgrading an Amazon MWAA environment.

Valid values: 1.10.12, 2.0.2, 2.2.2, 2.4.3, 2.5.1, 2.6.3, 2.7.2, 2.8.1, 2.9.2, 2.10.1, and 2.10.3.

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

The Apache Airflow version for your environment. To upgrade your environment, specify a newer version of Apache Airflow supported by Amazon MWAA.

Before you upgrade an environment, make sure your requirements, DAGs, plugins, and other resources used in your workflows are compatible with the new Apache Airflow version. For more information about updating your resources, see Upgrading an Amazon MWAA environment.

Valid values: 1.10.12, 2.0.2, 2.2.2, 2.4.3, 2.5.1, 2.6.3, 2.7.2, 2.8.1, 2.9.2, 2.10.1, and 2.10.3.

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pub fn dag_s3_path(self, input: impl Into<String>) -> Self

The relative path to the DAGs folder on your Amazon S3 bucket. For example, dags. For more information, see Adding or updating DAGs.

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pub fn set_dag_s3_path(self, input: Option<String>) -> Self

The relative path to the DAGs folder on your Amazon S3 bucket. For example, dags. For more information, see Adding or updating DAGs.

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pub fn get_dag_s3_path(&self) -> &Option<String>

The relative path to the DAGs folder on your Amazon S3 bucket. For example, dags. For more information, see Adding or updating DAGs.

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

The environment class type. Valid values: mw1.micro, mw1.small, mw1.medium, mw1.large, mw1.xlarge, and mw1.2xlarge. For more information, see Amazon MWAA environment class.

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

The environment class type. Valid values: mw1.micro, mw1.small, mw1.medium, mw1.large, mw1.xlarge, and mw1.2xlarge. For more information, see Amazon MWAA environment class.

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

The environment class type. Valid values: mw1.micro, mw1.small, mw1.medium, mw1.large, mw1.xlarge, and mw1.2xlarge. For more information, see Amazon MWAA environment class.

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

The Apache Airflow log types to send to CloudWatch Logs.

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

The Apache Airflow log types to send to CloudWatch Logs.

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

The Apache Airflow log types to send to CloudWatch Logs.

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

The maximum number of workers that you want to run in your environment. MWAA scales the number of Apache Airflow workers up to the number you specify in the MaxWorkers field. For example, 20. When there are no more tasks running, and no more in the queue, MWAA disposes of the extra workers leaving the one worker that is included with your environment, or the number you specify in MinWorkers.

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

The maximum number of workers that you want to run in your environment. MWAA scales the number of Apache Airflow workers up to the number you specify in the MaxWorkers field. For example, 20. When there are no more tasks running, and no more in the queue, MWAA disposes of the extra workers leaving the one worker that is included with your environment, or the number you specify in MinWorkers.

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

The maximum number of workers that you want to run in your environment. MWAA scales the number of Apache Airflow workers up to the number you specify in the MaxWorkers field. For example, 20. When there are no more tasks running, and no more in the queue, MWAA disposes of the extra workers leaving the one worker that is included with your environment, or the number you specify in MinWorkers.

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

The minimum number of workers that you want to run in your environment. MWAA scales the number of Apache Airflow workers up to the number you specify in the MaxWorkers field. When there are no more tasks running, and no more in the queue, MWAA disposes of the extra workers leaving the worker count you specify in the MinWorkers field. For example, 2.

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

The minimum number of workers that you want to run in your environment. MWAA scales the number of Apache Airflow workers up to the number you specify in the MaxWorkers field. When there are no more tasks running, and no more in the queue, MWAA disposes of the extra workers leaving the worker count you specify in the MinWorkers field. For example, 2.

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

The minimum number of workers that you want to run in your environment. MWAA scales the number of Apache Airflow workers up to the number you specify in the MaxWorkers field. When there are no more tasks running, and no more in the queue, MWAA disposes of the extra workers leaving the worker count you specify in the MinWorkers field. For example, 2.

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

The maximum number of web servers that you want to run in your environment. Amazon MWAA scales the number of Apache Airflow web servers up to the number you specify for MaxWebservers when you interact with your Apache Airflow environment using Apache Airflow REST API, or the Apache Airflow CLI. For example, in scenarios where your workload requires network calls to the Apache Airflow REST API with a high transaction-per-second (TPS) rate, Amazon MWAA will increase the number of web servers up to the number set in MaxWebserers. As TPS rates decrease Amazon MWAA disposes of the additional web servers, and scales down to the number set in MinxWebserers.

Valid values: For environments larger than mw1.micro, accepts values from 2 to 5. Defaults to 2 for all environment sizes except mw1.micro, which defaults to 1.

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

The maximum number of web servers that you want to run in your environment. Amazon MWAA scales the number of Apache Airflow web servers up to the number you specify for MaxWebservers when you interact with your Apache Airflow environment using Apache Airflow REST API, or the Apache Airflow CLI. For example, in scenarios where your workload requires network calls to the Apache Airflow REST API with a high transaction-per-second (TPS) rate, Amazon MWAA will increase the number of web servers up to the number set in MaxWebserers. As TPS rates decrease Amazon MWAA disposes of the additional web servers, and scales down to the number set in MinxWebserers.

Valid values: For environments larger than mw1.micro, accepts values from 2 to 5. Defaults to 2 for all environment sizes except mw1.micro, which defaults to 1.

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

The maximum number of web servers that you want to run in your environment. Amazon MWAA scales the number of Apache Airflow web servers up to the number you specify for MaxWebservers when you interact with your Apache Airflow environment using Apache Airflow REST API, or the Apache Airflow CLI. For example, in scenarios where your workload requires network calls to the Apache Airflow REST API with a high transaction-per-second (TPS) rate, Amazon MWAA will increase the number of web servers up to the number set in MaxWebserers. As TPS rates decrease Amazon MWAA disposes of the additional web servers, and scales down to the number set in MinxWebserers.

Valid values: For environments larger than mw1.micro, accepts values from 2 to 5. Defaults to 2 for all environment sizes except mw1.micro, which defaults to 1.

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

The minimum number of web servers that you want to run in your environment. Amazon MWAA scales the number of Apache Airflow web servers up to the number you specify for MaxWebservers when you interact with your Apache Airflow environment using Apache Airflow REST API, or the Apache Airflow CLI. As the transaction-per-second rate, and the network load, decrease, Amazon MWAA disposes of the additional web servers, and scales down to the number set in MinxWebserers.

Valid values: For environments larger than mw1.micro, accepts values from 2 to 5. Defaults to 2 for all environment sizes except mw1.micro, which defaults to 1.

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

The minimum number of web servers that you want to run in your environment. Amazon MWAA scales the number of Apache Airflow web servers up to the number you specify for MaxWebservers when you interact with your Apache Airflow environment using Apache Airflow REST API, or the Apache Airflow CLI. As the transaction-per-second rate, and the network load, decrease, Amazon MWAA disposes of the additional web servers, and scales down to the number set in MinxWebserers.

Valid values: For environments larger than mw1.micro, accepts values from 2 to 5. Defaults to 2 for all environment sizes except mw1.micro, which defaults to 1.

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

The minimum number of web servers that you want to run in your environment. Amazon MWAA scales the number of Apache Airflow web servers up to the number you specify for MaxWebservers when you interact with your Apache Airflow environment using Apache Airflow REST API, or the Apache Airflow CLI. As the transaction-per-second rate, and the network load, decrease, Amazon MWAA disposes of the additional web servers, and scales down to the number set in MinxWebserers.

Valid values: For environments larger than mw1.micro, accepts values from 2 to 5. Defaults to 2 for all environment sizes except mw1.micro, which defaults to 1.

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pub fn worker_replacement_strategy( self, input: WorkerReplacementStrategy, ) -> Self

The worker replacement strategy to use when updating the environment.

You can select one of the following strategies:

  • Forced - Stops and replaces Apache Airflow workers without waiting for tasks to complete before an update.

  • Graceful - Allows Apache Airflow workers to complete running tasks for up to 12 hours during an update before they're stopped and replaced.

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pub fn set_worker_replacement_strategy( self, input: Option<WorkerReplacementStrategy>, ) -> Self

The worker replacement strategy to use when updating the environment.

You can select one of the following strategies:

  • Forced - Stops and replaces Apache Airflow workers without waiting for tasks to complete before an update.

  • Graceful - Allows Apache Airflow workers to complete running tasks for up to 12 hours during an update before they're stopped and replaced.

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pub fn get_worker_replacement_strategy( &self, ) -> &Option<WorkerReplacementStrategy>

The worker replacement strategy to use when updating the environment.

You can select one of the following strategies:

  • Forced - Stops and replaces Apache Airflow workers without waiting for tasks to complete before an update.

  • Graceful - Allows Apache Airflow workers to complete running tasks for up to 12 hours during an update before they're stopped and replaced.

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

The VPC networking components used to secure and enable network traffic between the Amazon Web Services resources for your environment. For more information, see About networking on Amazon MWAA.

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

The VPC networking components used to secure and enable network traffic between the Amazon Web Services resources for your environment. For more information, see About networking on Amazon MWAA.

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pub fn get_network_configuration( &self, ) -> &Option<UpdateNetworkConfigurationInput>

The VPC networking components used to secure and enable network traffic between the Amazon Web Services resources for your environment. For more information, see About networking on Amazon MWAA.

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pub fn plugins_s3_path(self, input: impl Into<String>) -> Self

The relative path to the plugins.zip file on your Amazon S3 bucket. For example, plugins.zip. If specified, then the plugins.zip version is required. For more information, see Installing custom plugins.

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pub fn set_plugins_s3_path(self, input: Option<String>) -> Self

The relative path to the plugins.zip file on your Amazon S3 bucket. For example, plugins.zip. If specified, then the plugins.zip version is required. For more information, see Installing custom plugins.

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pub fn get_plugins_s3_path(&self) -> &Option<String>

The relative path to the plugins.zip file on your Amazon S3 bucket. For example, plugins.zip. If specified, then the plugins.zip version is required. For more information, see Installing custom plugins.

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pub fn plugins_s3_object_version(self, input: impl Into<String>) -> Self

The version of the plugins.zip file on your Amazon S3 bucket. You must specify a version each time a plugins.zip file is updated. For more information, see How S3 Versioning works.

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pub fn set_plugins_s3_object_version(self, input: Option<String>) -> Self

The version of the plugins.zip file on your Amazon S3 bucket. You must specify a version each time a plugins.zip file is updated. For more information, see How S3 Versioning works.

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pub fn get_plugins_s3_object_version(&self) -> &Option<String>

The version of the plugins.zip file on your Amazon S3 bucket. You must specify a version each time a plugins.zip file is updated. For more information, see How S3 Versioning works.

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pub fn requirements_s3_path(self, input: impl Into<String>) -> Self

The relative path to the requirements.txt file on your Amazon S3 bucket. For example, requirements.txt. If specified, then a file version is required. For more information, see Installing Python dependencies.

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pub fn set_requirements_s3_path(self, input: Option<String>) -> Self

The relative path to the requirements.txt file on your Amazon S3 bucket. For example, requirements.txt. If specified, then a file version is required. For more information, see Installing Python dependencies.

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pub fn get_requirements_s3_path(&self) -> &Option<String>

The relative path to the requirements.txt file on your Amazon S3 bucket. For example, requirements.txt. If specified, then a file version is required. For more information, see Installing Python dependencies.

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pub fn requirements_s3_object_version(self, input: impl Into<String>) -> Self

The version of the requirements.txt file on your Amazon S3 bucket. You must specify a version each time a requirements.txt file is updated. For more information, see How S3 Versioning works.

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pub fn set_requirements_s3_object_version(self, input: Option<String>) -> Self

The version of the requirements.txt file on your Amazon S3 bucket. You must specify a version each time a requirements.txt file is updated. For more information, see How S3 Versioning works.

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pub fn get_requirements_s3_object_version(&self) -> &Option<String>

The version of the requirements.txt file on your Amazon S3 bucket. You must specify a version each time a requirements.txt file is updated. For more information, see How S3 Versioning works.

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

The number of Apache Airflow schedulers to run in your Amazon MWAA environment.

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

The number of Apache Airflow schedulers to run in your Amazon MWAA environment.

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

The number of Apache Airflow schedulers to run in your Amazon MWAA environment.

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

The Amazon Resource Name (ARN) of the Amazon S3 bucket where your DAG code and supporting files are stored. For example, arn:aws:s3:::my-airflow-bucket-unique-name. For more information, see Create an Amazon S3 bucket for Amazon MWAA.

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

The Amazon Resource Name (ARN) of the Amazon S3 bucket where your DAG code and supporting files are stored. For example, arn:aws:s3:::my-airflow-bucket-unique-name. For more information, see Create an Amazon S3 bucket for Amazon MWAA.

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

The Amazon Resource Name (ARN) of the Amazon S3 bucket where your DAG code and supporting files are stored. For example, arn:aws:s3:::my-airflow-bucket-unique-name. For more information, see Create an Amazon S3 bucket for Amazon MWAA.

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pub fn startup_script_s3_path(self, input: impl Into<String>) -> Self

The relative path to the startup shell script in your Amazon S3 bucket. For example, s3://mwaa-environment/startup.sh.

Amazon MWAA runs the script as your environment starts, and before running the Apache Airflow process. You can use this script to install dependencies, modify Apache Airflow configuration options, and set environment variables. For more information, see Using a startup script.

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pub fn set_startup_script_s3_path(self, input: Option<String>) -> Self

The relative path to the startup shell script in your Amazon S3 bucket. For example, s3://mwaa-environment/startup.sh.

Amazon MWAA runs the script as your environment starts, and before running the Apache Airflow process. You can use this script to install dependencies, modify Apache Airflow configuration options, and set environment variables. For more information, see Using a startup script.

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pub fn get_startup_script_s3_path(&self) -> &Option<String>

The relative path to the startup shell script in your Amazon S3 bucket. For example, s3://mwaa-environment/startup.sh.

Amazon MWAA runs the script as your environment starts, and before running the Apache Airflow process. You can use this script to install dependencies, modify Apache Airflow configuration options, and set environment variables. For more information, see Using a startup script.

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pub fn startup_script_s3_object_version(self, input: impl Into<String>) -> Self

The version of the startup shell script in your Amazon S3 bucket. You must specify the version ID that Amazon S3 assigns to the file every time you update the script.

Version IDs are Unicode, UTF-8 encoded, URL-ready, opaque strings that are no more than 1,024 bytes long. The following is an example:

3sL4kqtJlcpXroDTDmJ+rmSpXd3dIbrHY+MTRCxf3vjVBH40Nr8X8gdRQBpUMLUo

For more information, see Using a startup script.

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pub fn set_startup_script_s3_object_version(self, input: Option<String>) -> Self

The version of the startup shell script in your Amazon S3 bucket. You must specify the version ID that Amazon S3 assigns to the file every time you update the script.

Version IDs are Unicode, UTF-8 encoded, URL-ready, opaque strings that are no more than 1,024 bytes long. The following is an example:

3sL4kqtJlcpXroDTDmJ+rmSpXd3dIbrHY+MTRCxf3vjVBH40Nr8X8gdRQBpUMLUo

For more information, see Using a startup script.

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pub fn get_startup_script_s3_object_version(&self) -> &Option<String>

The version of the startup shell script in your Amazon S3 bucket. You must specify the version ID that Amazon S3 assigns to the file every time you update the script.

Version IDs are Unicode, UTF-8 encoded, URL-ready, opaque strings that are no more than 1,024 bytes long. The following is an example:

3sL4kqtJlcpXroDTDmJ+rmSpXd3dIbrHY+MTRCxf3vjVBH40Nr8X8gdRQBpUMLUo

For more information, see Using a startup script.

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pub fn webserver_access_mode(self, input: WebserverAccessMode) -> Self

The Apache Airflow Web server access mode. For more information, see Apache Airflow access modes.

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pub fn set_webserver_access_mode( self, input: Option<WebserverAccessMode>, ) -> Self

The Apache Airflow Web server access mode. For more information, see Apache Airflow access modes.

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pub fn get_webserver_access_mode(&self) -> &Option<WebserverAccessMode>

The Apache Airflow Web server access mode. For more information, see Apache Airflow access modes.

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

The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time to start weekly maintenance updates of your environment in the following format: DAY:HH:MM. For example: TUE:03:30. You can specify a start time in 30 minute increments only.

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

The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time to start weekly maintenance updates of your environment in the following format: DAY:HH:MM. For example: TUE:03:30. You can specify a start time in 30 minute increments only.

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

The day and time of the week in Coordinated Universal Time (UTC) 24-hour standard time to start weekly maintenance updates of your environment in the following format: DAY:HH:MM. For example: TUE:03:30. You can specify a start time in 30 minute increments only.

Trait Implementations§

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impl Clone for UpdateEnvironmentFluentBuilder

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fn clone(&self) -> UpdateEnvironmentFluentBuilder

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 UpdateEnvironmentFluentBuilder

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

Formats the value using the given formatter. Read more

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Returns self with the fg() set to [Color :: Magenta].

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Returns a styled value derived from self with the background set to value.

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Returns self with the bg() set to [Color :: BrightMagenta].

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Enables the styling Attribute value.

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👎Deprecated since 1.0.1: renamed to resetting() due to conflicts with Vec::clear(). The clear() method will be removed in a future release.

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Conditionally enable styling based on whether the Condition value applies. Replaces any previous condition.

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