CreateEnvironmentFluentBuilder

aws_sdk_mwaa::operation::create_environment::builders

Struct CreateEnvironmentFluentBuilder 

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

Fluent builder constructing a request to CreateEnvironment.

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

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impl CreateEnvironmentFluentBuilder

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pub fn as_input(&self) -> &CreateEnvironmentInputBuilder

Access the CreateEnvironment as a reference.

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pub async fn send( self, ) -> Result<CreateEnvironmentOutput, SdkError<CreateEnvironmentError, 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<CreateEnvironmentOutput, CreateEnvironmentError, 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 the Amazon MWAA environment. For example, MyMWAAEnvironment.

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

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

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

The name of the 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 for your environment. An execution role is an Amazon Web Services Identity and Access Management (IAM) role that grants MWAA permission to access Amazon Web Services services and resources used by 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 for your environment. An execution role is an Amazon Web Services Identity and Access Management (IAM) role that grants MWAA permission to access Amazon Web Services services and resources used by 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 for your environment. An execution role is an Amazon Web Services Identity and Access Management (IAM) role that grants MWAA permission to access Amazon Web Services services and resources used by 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 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 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 network_configuration(self, input: NetworkConfiguration) -> 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<NetworkConfiguration>, ) -> 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<NetworkConfiguration>

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 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 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 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 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 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 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 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 kms_key(self, input: impl Into<String>) -> Self

The Amazon Web Services Key Management Service (KMS) key to encrypt the data in your environment. You can use an Amazon Web Services owned CMK, or a Customer managed CMK (advanced). For more information, see Create an Amazon MWAA environment.

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

The Amazon Web Services Key Management Service (KMS) key to encrypt the data in your environment. You can use an Amazon Web Services owned CMK, or a Customer managed CMK (advanced). For more information, see Create an Amazon MWAA environment.

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

The Amazon Web Services Key Management Service (KMS) key to encrypt the data in your environment. You can use an Amazon Web Services owned CMK, or a Customer managed CMK (advanced). For more information, see Create an Amazon MWAA environment.

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

The Apache Airflow version for your environment. If no value is specified, it defaults to the latest version. For more information, see Apache Airflow versions on Amazon Managed Workflows for Apache Airflow (Amazon MWAA).

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. If no value is specified, it defaults to the latest version. For more information, see Apache Airflow versions on Amazon Managed Workflows for Apache Airflow (Amazon MWAA).

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. If no value is specified, it defaults to the latest version. For more information, see Apache Airflow versions on Amazon Managed Workflows for Apache Airflow (Amazon MWAA).

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 logging_configuration(self, input: LoggingConfigurationInput) -> Self

Defines the Apache Airflow logs to send to CloudWatch Logs.

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

Defines the Apache Airflow logs to send to CloudWatch Logs.

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

Defines the Apache Airflow logs to send to CloudWatch Logs.

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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.

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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.

The key-value tag pairs you want to associate to your environment. For example, "Environment": "Staging". For more information, see Tagging Amazon Web Services resources.

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

The key-value tag pairs you want to associate to your environment. For example, "Environment": "Staging". For more information, see Tagging Amazon Web Services resources.

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

The key-value tag pairs you want to associate to your environment. For example, "Environment": "Staging". For more information, see Tagging Amazon Web Services resources.

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

Defines the access mode for the Apache Airflow web server. For more information, see Apache Airflow access modes.

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

Defines the access mode for the Apache Airflow web server. For more information, see Apache Airflow access modes.

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

Defines the access mode for the Apache Airflow web server. For more information, see Apache Airflow access modes.

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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 schedulers(self, input: i32) -> Self

The number of Apache Airflow schedulers to run in your environment. Valid values:

  • v2 - 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.

  • v1 - Accepts 1.

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

The number of Apache Airflow schedulers to run in your environment. Valid values:

  • v2 - 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.

  • v1 - Accepts 1.

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

The number of Apache Airflow schedulers to run in your environment. Valid values:

  • v2 - 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.

  • v1 - Accepts 1.

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pub fn endpoint_management(self, input: EndpointManagement) -> Self

Defines whether the VPC endpoints configured for the environment are created, and managed, by the customer or by Amazon MWAA. If set to SERVICE, Amazon MWAA will create and manage the required VPC endpoints in your VPC. If set to CUSTOMER, you must create, and manage, the VPC endpoints for your VPC. If you choose to create an environment in a shared VPC, you must set this value to CUSTOMER. In a shared VPC deployment, the environment will remain in PENDING status until you create the VPC endpoints. If you do not take action to create the endpoints within 72 hours, the status will change to CREATE_FAILED. You can delete the failed environment and create a new one.

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pub fn set_endpoint_management(self, input: Option<EndpointManagement>) -> Self

Defines whether the VPC endpoints configured for the environment are created, and managed, by the customer or by Amazon MWAA. If set to SERVICE, Amazon MWAA will create and manage the required VPC endpoints in your VPC. If set to CUSTOMER, you must create, and manage, the VPC endpoints for your VPC. If you choose to create an environment in a shared VPC, you must set this value to CUSTOMER. In a shared VPC deployment, the environment will remain in PENDING status until you create the VPC endpoints. If you do not take action to create the endpoints within 72 hours, the status will change to CREATE_FAILED. You can delete the failed environment and create a new one.

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pub fn get_endpoint_management(&self) -> &Option<EndpointManagement>

Defines whether the VPC endpoints configured for the environment are created, and managed, by the customer or by Amazon MWAA. If set to SERVICE, Amazon MWAA will create and manage the required VPC endpoints in your VPC. If set to CUSTOMER, you must create, and manage, the VPC endpoints for your VPC. If you choose to create an environment in a shared VPC, you must set this value to CUSTOMER. In a shared VPC deployment, the environment will remain in PENDING status until you create the VPC endpoints. If you do not take action to create the endpoints within 72 hours, the status will change to CREATE_FAILED. You can delete the failed environment and create a new one.

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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 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.

Trait Implementations§

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impl Clone for CreateEnvironmentFluentBuilder

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fn clone(&self) -> CreateEnvironmentFluentBuilder

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 CreateEnvironmentFluentBuilder

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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<T> IntoEither for T

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fn into_either(self, into_left: bool) -> Either<Self, Self>

Converts self into a Left variant of Either<Self, Self> if into_left is true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

Converts self into a Left variant of Either<Self, Self> if into_left(&self) returns true. Converts self into a Right variant of Either<Self, Self> otherwise. Read more
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impl<Unshared, Shared> IntoShared<Shared> for Unshared
where Shared: FromUnshared<Unshared>,

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fn into_shared(self) -> Shared

Creates a shared type from an unshared type.
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impl<T> Paint for T
where T: ?Sized,

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fn fg(&self, value: Color) -> Painted<&T>

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

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fn primary(&self) -> Painted<&T>

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

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fn fixed(&self, color: u8) -> Painted<&T>

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

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fn rgb(&self, r: u8, g: u8, b: u8) -> Painted<&T>

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

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fn black(&self) -> Painted<&T>

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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fn bg(&self, value: Color) -> Painted<&T>

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 :: Primary].

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

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

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fn on_black(&self) -> Painted<&T>

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

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fn on_red(&self) -> Painted<&T>

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

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fn on_green(&self) -> Painted<&T>

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

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fn on_yellow(&self) -> Painted<&T>

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

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fn on_blue(&self) -> Painted<&T>

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

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fn on_magenta(&self) -> Painted<&T>

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

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

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fn on_white(&self) -> Painted<&T>

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

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

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

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

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

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

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

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

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

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fn attr(&self, value: Attribute) -> Painted<&T>

Enables the styling Attribute value.

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Make text bold using using bold().

use yansi::Paint;

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Returns self with the attr() set to [Attribute :: Bold].

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Returns self with the attr() set to [Attribute :: Dim].

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Returns self with the attr() set to [Attribute :: Italic].

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Returns self with the attr() set to [Attribute :: Underline].

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Returns self with the attr() set to [Attribute :: Blink].

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Returns self with the attr() set to [Attribute :: RapidBlink].

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Returns self with the attr() set to [Attribute :: Invert].

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Returns self with the attr() set to [Attribute :: Conceal].

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Returns self with the attr() set to [Attribute :: Strike].

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fn quirk(&self, value: Quirk) -> Painted<&T>

Enables the yansi Quirk value.

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Enable wrapping using wrap().

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Returns self with the quirk() set to [Quirk :: Mask].

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Returns self with the quirk() set to [Quirk :: Wrap].

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Returns self with the quirk() set to [Quirk :: Linger].

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fn clear(&self) -> Painted<&T>

👎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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Returns self with the quirk() set to [Quirk :: Resetting].

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Returns self with the quirk() set to [Quirk :: Bright].

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Returns self with the quirk() set to [Quirk :: OnBright].

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fn whenever(&self, value: Condition) -> Painted<&T>

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

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Enable styling painted only when both stdout and stderr are TTYs:

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fn new(self) -> Painted<Self>
where Self: Sized,

Create a new Painted with a default Style. Read more
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Apply a style wholesale to self. Any previous style is replaced. Read more
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type Output = T

Should always be Self
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type Owned = T

The resulting type after obtaining ownership.
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Creates owned data from borrowed data, usually by cloning. Read more
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Uses borrowed data to replace owned data, usually by cloning. Read more
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type Error = Infallible

The type returned in the event of a conversion error.
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Performs the conversion.
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type Error = <U as TryFrom<T>>::Error

The type returned in the event of a conversion error.
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Performs the conversion.
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impl<T> ErasedDestructor for T
where T: 'static,