Mwaa

This page documents function available when using the Mwaa module, created with @service Mwaa.

Index

Documentation

Main.Mwaa.create_cli_tokenMethod
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.
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Main.Mwaa.create_environmentMethod
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. For more information, see Apache Airflow versions on Amazon Managed Workflows for Apache Airflow (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
  • "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.
  • "EnvironmentClass": The environment class type. Valid values: mw1.small, mw1.medium, mw1.large, mw1.xlarge, and mw1.2xlarge. 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.
  • "MaxWebservers": 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: Accepts between 2 and 5. Defaults to 2.
  • "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.
  • "MinWebservers": 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: Accepts between 2 and 5. Defaults to 2.
  • "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": Defines the access mode for the Apache Airflow web server. 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.
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Main.Mwaa.create_web_login_tokenMethod
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.
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Main.Mwaa.delete_environmentMethod
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.
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Main.Mwaa.get_environmentMethod
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.
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Main.Mwaa.list_environmentsMethod
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.
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Main.Mwaa.list_tags_for_resourceMethod
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.
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Main.Mwaa.publish_metricsMethod
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.
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Main.Mwaa.tag_resourceMethod
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.
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Main.Mwaa.untag_resourceMethod
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".
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Main.Mwaa.update_environmentMethod
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, 2.5.1, 2.6.3, 2.7.2, 2.8.1.
  • "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, mw1.xlarge, and mw1.2xlarge. 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.
  • "MaxWebservers": 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: Accepts between 2 and 5. Defaults to 2.
  • "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.
  • "MinWebservers": 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: Accepts between 2 and 5. Defaults to 2.
  • "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.
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