#[non_exhaustive]pub struct UpdateEnvironmentInput {Show 23 fields
pub name: Option<String>,
pub execution_role_arn: Option<String>,
pub airflow_configuration_options: Option<HashMap<String, String>>,
pub airflow_version: Option<String>,
pub dag_s3_path: Option<String>,
pub environment_class: Option<String>,
pub logging_configuration: Option<LoggingConfigurationInput>,
pub max_workers: Option<i32>,
pub min_workers: Option<i32>,
pub max_webservers: Option<i32>,
pub min_webservers: Option<i32>,
pub worker_replacement_strategy: Option<WorkerReplacementStrategy>,
pub network_configuration: Option<UpdateNetworkConfigurationInput>,
pub plugins_s3_path: Option<String>,
pub plugins_s3_object_version: Option<String>,
pub requirements_s3_path: Option<String>,
pub requirements_s3_object_version: Option<String>,
pub schedulers: Option<i32>,
pub source_bucket_arn: Option<String>,
pub startup_script_s3_path: Option<String>,
pub startup_script_s3_object_version: Option<String>,
pub webserver_access_mode: Option<WebserverAccessMode>,
pub weekly_maintenance_window_start: Option<String>,
}
Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.name: Option<String>
The name of your Amazon MWAA environment. For example, MyMWAAEnvironment
.
execution_role_arn: 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.
airflow_configuration_options: 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.
airflow_version: 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
.
dag_s3_path: 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.
environment_class: 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.
logging_configuration: Option<LoggingConfigurationInput>
The Apache Airflow log types to send to CloudWatch Logs.
max_workers: 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
.
min_workers: 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
.
max_webservers: 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
.
min_webservers: 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
.
worker_replacement_strategy: 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.
network_configuration: 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.
plugins_s3_path: 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.
plugins_s3_object_version: 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.
requirements_s3_path: 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.
requirements_s3_object_version: 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.
schedulers: Option<i32>
The number of Apache Airflow schedulers to run in your Amazon MWAA environment.
source_bucket_arn: 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.
startup_script_s3_path: 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.
startup_script_s3_object_version: 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.
webserver_access_mode: Option<WebserverAccessMode>
The Apache Airflow Web server access mode. For more information, see Apache Airflow access modes.
weekly_maintenance_window_start: 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.
Implementations§
Source§impl UpdateEnvironmentInput
impl UpdateEnvironmentInput
Sourcepub fn name(&self) -> Option<&str>
pub fn name(&self) -> Option<&str>
The name of your Amazon MWAA environment. For example, MyMWAAEnvironment
.
Sourcepub fn execution_role_arn(&self) -> Option<&str>
pub fn execution_role_arn(&self) -> Option<&str>
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.
Sourcepub fn airflow_configuration_options(&self) -> Option<&HashMap<String, String>>
pub fn 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.
Sourcepub fn airflow_version(&self) -> Option<&str>
pub fn airflow_version(&self) -> Option<&str>
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
.
Sourcepub fn dag_s3_path(&self) -> Option<&str>
pub fn dag_s3_path(&self) -> Option<&str>
The relative path to the DAGs folder on your Amazon S3 bucket. For example, dags
. For more information, see Adding or updating DAGs.
Sourcepub fn environment_class(&self) -> Option<&str>
pub fn environment_class(&self) -> Option<&str>
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.
Sourcepub fn logging_configuration(&self) -> Option<&LoggingConfigurationInput>
pub fn logging_configuration(&self) -> Option<&LoggingConfigurationInput>
The Apache Airflow log types to send to CloudWatch Logs.
Sourcepub fn max_workers(&self) -> Option<i32>
pub fn 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
.
Sourcepub fn min_workers(&self) -> Option<i32>
pub fn 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
.
Sourcepub fn max_webservers(&self) -> Option<i32>
pub fn 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
.
Sourcepub fn min_webservers(&self) -> Option<i32>
pub fn 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
.
Sourcepub fn worker_replacement_strategy(&self) -> Option<&WorkerReplacementStrategy>
pub fn 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.
Sourcepub fn network_configuration(&self) -> Option<&UpdateNetworkConfigurationInput>
pub fn 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.
Sourcepub fn plugins_s3_path(&self) -> Option<&str>
pub fn plugins_s3_path(&self) -> Option<&str>
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.
Sourcepub fn plugins_s3_object_version(&self) -> Option<&str>
pub fn plugins_s3_object_version(&self) -> Option<&str>
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.
Sourcepub fn requirements_s3_path(&self) -> Option<&str>
pub fn requirements_s3_path(&self) -> Option<&str>
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.
Sourcepub fn requirements_s3_object_version(&self) -> Option<&str>
pub fn requirements_s3_object_version(&self) -> Option<&str>
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.
Sourcepub fn schedulers(&self) -> Option<i32>
pub fn schedulers(&self) -> Option<i32>
The number of Apache Airflow schedulers to run in your Amazon MWAA environment.
Sourcepub fn source_bucket_arn(&self) -> Option<&str>
pub fn source_bucket_arn(&self) -> Option<&str>
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.
Sourcepub fn startup_script_s3_path(&self) -> Option<&str>
pub fn startup_script_s3_path(&self) -> Option<&str>
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.
Sourcepub fn startup_script_s3_object_version(&self) -> Option<&str>
pub fn startup_script_s3_object_version(&self) -> Option<&str>
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.
Sourcepub fn webserver_access_mode(&self) -> Option<&WebserverAccessMode>
pub fn webserver_access_mode(&self) -> Option<&WebserverAccessMode>
The Apache Airflow Web server access mode. For more information, see Apache Airflow access modes.
Sourcepub fn weekly_maintenance_window_start(&self) -> Option<&str>
pub fn weekly_maintenance_window_start(&self) -> Option<&str>
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.
Source§impl UpdateEnvironmentInput
impl UpdateEnvironmentInput
Sourcepub fn builder() -> UpdateEnvironmentInputBuilder
pub fn builder() -> UpdateEnvironmentInputBuilder
Creates a new builder-style object to manufacture UpdateEnvironmentInput
.
Trait Implementations§
Source§impl Clone for UpdateEnvironmentInput
impl Clone for UpdateEnvironmentInput
Source§fn clone(&self) -> UpdateEnvironmentInput
fn clone(&self) -> UpdateEnvironmentInput
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moreSource§impl Debug for UpdateEnvironmentInput
impl Debug for UpdateEnvironmentInput
Source§impl PartialEq for UpdateEnvironmentInput
impl PartialEq for UpdateEnvironmentInput
impl StructuralPartialEq for UpdateEnvironmentInput
Auto Trait Implementations§
impl Freeze for UpdateEnvironmentInput
impl RefUnwindSafe for UpdateEnvironmentInput
impl Send for UpdateEnvironmentInput
impl Sync for UpdateEnvironmentInput
impl Unpin for UpdateEnvironmentInput
impl UnwindSafe for UpdateEnvironmentInput
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