Mwaa

create_cli_token(name)
create_cli_token(name, params::Dict{String,<:Any})

Creates a CLI token for the Airflow CLI. To learn more, see Creating an Apache Airflow CLI token.

Arguments

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

create_environment(dag_s3_path, execution_role_arn, name, network_configuration, source_bucket_arn)
create_environment(dag_s3_path, execution_role_arn, name, network_configuration, source_bucket_arn, params::Dict{String,<:Any})

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

Arguments

• dag_s3_path: The relative path to the DAGs folder on your Amazon S3 bucket. For example, dags. For more information, see Adding or updating DAGs.
• execution_role_arn: 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.
• name: The name of the Amazon MWAA environment. For example, MyMWAAEnvironment.
• network_configuration: 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.
• source_bucket_arn: 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.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "AirflowConfigurationOptions": 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.
• "AirflowVersion": The Apache Airflow version for your environment. If no value is specified, it defaults to the latest version. Valid values: 1.10.12, 2.0.2, 2.2.2, 2.4.3, and 2.5.1. For more information, see Apache Airflow versions on Amazon Managed Workflows for Apache Airflow (MWAA).
• "EnvironmentClass": The environment class type. Valid values: mw1.small, mw1.medium, mw1.large. For more information, see Amazon MWAA environment class.
• "KmsKey": 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.
• "LoggingConfiguration": Defines the Apache Airflow logs to send to CloudWatch Logs.
• "MaxWorkers": 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.
• "MinWorkers": 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.
• "PluginsS3ObjectVersion": 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.
• "PluginsS3Path": 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.
• "RequirementsS3ObjectVersion": 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.
• "RequirementsS3Path": 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.
• "Schedulers": The number of Apache Airflow schedulers to run in your environment. Valid values: v2 - Accepts between 2 to 5. Defaults to 2. v1 - Accepts 1.
• "StartupScriptS3ObjectVersion": 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.
• "StartupScriptS3Path": 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.
• "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.
• "WebserverAccessMode": The Apache Airflow Web server access mode. For more information, see Apache Airflow access modes.
• "WeeklyMaintenanceWindowStart": 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.

create_web_login_token(name)
create_web_login_token(name, params::Dict{String,<:Any})

Creates a web login token for the Airflow Web UI. To learn more, see Creating an Apache Airflow web login token.

Arguments

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

delete_environment(name)
delete_environment(name, params::Dict{String,<:Any})

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

Arguments

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

get_environment(name)
get_environment(name, params::Dict{String,<:Any})

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

Arguments

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

list_environments()
list_environments(params::Dict{String,<:Any})

Lists the Amazon Managed Workflows for Apache Airflow (MWAA) environments.

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "MaxResults": The maximum number of results to retrieve per page. For example, 5 environments per page.
• "NextToken": Retrieves the next page of the results.

list_tags_for_resource(resource_arn)
list_tags_for_resource(resource_arn, params::Dict{String,<:Any})

Lists the key-value tag pairs associated to the Amazon Managed Workflows for Apache Airflow (MWAA) environment. For example, "Environment": "Staging".

Arguments

• resource_arn: The Amazon Resource Name (ARN) of the Amazon MWAA environment. For example, arn:aws:airflow:us-east-1:123456789012:environment/MyMWAAEnvironment.

publish_metrics(environment_name, metric_data)
publish_metrics(environment_name, metric_data, params::Dict{String,<:Any})

Internal only. Publishes environment health metrics to Amazon CloudWatch.

Arguments

• environment_name: Internal only. The name of the environment.
• metric_data: Internal only. Publishes metrics to Amazon CloudWatch. To learn more about the metrics published to Amazon CloudWatch, see Amazon MWAA performance metrics in Amazon CloudWatch.

tag_resource(resource_arn, tags)
tag_resource(resource_arn, tags, params::Dict{String,<:Any})

Associates key-value tag pairs to your Amazon Managed Workflows for Apache Airflow (MWAA) environment.

Arguments

• resource_arn: The Amazon Resource Name (ARN) of the Amazon MWAA environment. For example, arn:aws:airflow:us-east-1:123456789012:environment/MyMWAAEnvironment.
• 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.

untag_resource(resource_arn, tag_keys)
untag_resource(resource_arn, tag_keys, params::Dict{String,<:Any})

Removes key-value tag pairs associated to your Amazon Managed Workflows for Apache Airflow (MWAA) environment. For example, "Environment": "Staging".

Arguments

• resource_arn: The Amazon Resource Name (ARN) of the Amazon MWAA environment. For example, arn:aws:airflow:us-east-1:123456789012:environment/MyMWAAEnvironment.
• tag_keys: The key-value tag pair you want to remove. For example, "Environment": "Staging".

update_environment(name)
update_environment(name, params::Dict{String,<:Any})

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

Arguments

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

Optional Parameters

Optional parameters can be passed as a params::Dict{String,<:Any}. Valid keys are:

• "AirflowConfigurationOptions": 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.
• "AirflowVersion": 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, and 2.5.1.
• "DagS3Path": The relative path to the DAGs folder on your Amazon S3 bucket. For example, dags. For more information, see Adding or updating DAGs.
• "EnvironmentClass": The environment class type. Valid values: mw1.small, mw1.medium, mw1.large. For more information, see Amazon MWAA environment class.
• "ExecutionRoleArn": 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.
• "LoggingConfiguration": The Apache Airflow log types to send to CloudWatch Logs.
• "MaxWorkers": 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.
• "MinWorkers": 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.
• "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.
• "PluginsS3ObjectVersion": 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.
• "PluginsS3Path": 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.
• "RequirementsS3ObjectVersion": 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.
• "RequirementsS3Path": 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.
• "Schedulers": The number of Apache Airflow schedulers to run in your Amazon MWAA environment.
• "SourceBucketArn": 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.
• "StartupScriptS3ObjectVersion": 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.
• "StartupScriptS3Path": 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.
• "WebserverAccessMode": The Apache Airflow Web server access mode. For more information, see Apache Airflow access modes.
• "WeeklyMaintenanceWindowStart": 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.