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<li class="breadcrumb-item"><a href="index.html"> Amazon Executors</a></li>
<li class="breadcrumb-item"><a href="ecs-executor.html"> AWS ECS Executor</a></li>
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<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>The ECS Executor is alpha/experimental at the moment and may be subject to change without warning.</p>
</div>
<div class="section" id="aws-ecs-executor">
<h1>AWS ECS Executor<a class="headerlink" href="#aws-ecs-executor" title="Permalink to this heading"></a></h1>
<p>This is an Airflow executor powered by Amazon Elastic Container Service
(ECS). Each task that Airflow schedules for execution is run within its
own ECS container. Some benefits of an executor like this include:</p>
<ol class="arabic simple">
<li><p>Task isolation: No task can be a noisy neighbor for another.
Resources like CPU, memory and disk are isolated to each individual
task. Any actions or failures which affect networking or fail the
entire container only affect the single task running in it. No single
user can overload the environment by triggering too many tasks,
because there are no shared workers.</p></li>
<li><p>Customized environments: You can build different container images
which incorporate specific dependencies (such as system level
dependencies), binaries, or data required for a task to run.</p></li>
<li><p>Cost effective: Compute resources only exist for the lifetime of the
Airflow task itself. This saves costs by not requiring
persistent/long lived workers ready at all times, which also need
maintenance and patching.</p></li>
</ol>
<p>For a quick start guide please see <a class="reference internal" href="#setup-guide"><span class="std std-ref">here</span></a>, it will
get you up and running with a basic configuration.</p>
<p>The below sections provide more generic details about configuration, the
provided example Dockerfile and logging.</p>
<div class="section" id="config-options">
<span id="id1"></span><h2>Config Options<a class="headerlink" href="#config-options" title="Permalink to this heading"></a></h2>
<p>There are a number of configuration options available, which can either
be set directly in the airflow.cfg file under an “aws_ecs_executor”
section or via environment variables using the
<code class="docutils literal notranslate"><span class="pre">AIRFLOW__AWS_ECS_EXECUTOR__&lt;OPTION_NAME&gt;</span></code> format, for example
<code class="docutils literal notranslate"><span class="pre">AIRFLOW__AWS_ECS_EXECUTOR__CONTAINER_NAME</span> <span class="pre">=</span> <span class="pre">&quot;myEcsContainer&quot;</span></code>. For
more information on how to set these options, see <a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/howto/set-config.html">Setting Configuration
Options</a></p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Configuration options must be consistent across all the hosts/environments running the Airflow components (Scheduler, Webserver, ECS Task containers, etc). See <a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html">here</a> for more details on setting configurations.</p>
</div>
<p>In the case of conflicts, the order of precedence from lowest to highest is:</p>
<ol class="arabic simple">
<li><p>Load default values for options which have defaults.</p></li>
<li><p>Load any values explicitly provided through airflow.cfg or
environment variables. These are checked with Airflow’s config
precedence.</p></li>
<li><p>Load any values provided in the RUN_TASK_KWARGS option if one is
provided.</p></li>
</ol>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p><code class="docutils literal notranslate"><span class="pre">exec_config</span></code> is an optional parameter that can be provided to operators. It is a dictionary type and in the context of the ECS Executor it represents a <code class="docutils literal notranslate"><span class="pre">run_task_kwargs</span></code> configuration which is then updated over-top of the <code class="docutils literal notranslate"><span class="pre">run_task_kwargs</span></code> specified in Airflow config above (if present). It is a recursive update which essentially applies Python update to each nested dictionary in the configuration. Loosely approximated as: <code class="docutils literal notranslate"><span class="pre">run_task_kwargs.update(exec_config)</span></code></p>
</div>
<div class="section" id="required-config-options">
<h3>Required config options:<a class="headerlink" href="#required-config-options" title="Permalink to this heading"></a></h3>
<ul class="simple">
<li><p>CLUSTER - Name of the Amazon ECS Cluster. Required.</p></li>
<li><p>CONTAINER_NAME - Name of the container that will be used to execute
Airflow tasks via the ECS executor. The container should be specified
in the ECS Task Definition. Required.</p></li>
<li><p>REGION_NAME - The name of the AWS Region where Amazon ECS is configured.
Required.</p></li>
</ul>
</div>
<div class="section" id="optional-config-options">
<h3>Optional config options:<a class="headerlink" href="#optional-config-options" title="Permalink to this heading"></a></h3>
<ul class="simple">
<li><p>ASSIGN_PUBLIC_IP - Whether to assign a public IP address to the
containers launched by the ECS executor. Defaults to “False”.</p></li>
<li><p>AWS_CONN_ID - The Airflow connection (i.e. credentials) used by the ECS
executor to make API calls to AWS ECS. Defaults to “aws_default”.</p></li>
<li><p>LAUNCH_TYPE - Launch type can either be ‘FARGATE’ OR ‘EC2’. Defaults
to “FARGATE”.</p></li>
<li><p>PLATFORM_VERSION - The platform version the ECS task uses if the
FARGATE launch type is used. Defaults to “LATEST”.</p></li>
<li><p>RUN_TASK_KWARGS - A JSON string containing arguments to provide the
ECS <code class="docutils literal notranslate"><span class="pre">run_task</span></code> API.</p></li>
<li><p>SECURITY_GROUPS - Up to 5 comma-separated security group IDs
associated with the ECS task. Defaults to the VPC default.</p></li>
<li><p>SUBNETS - Up to 16 comma-separated subnet IDs associated with the ECS
task or service. Defaults to the VPC default.</p></li>
<li><p>TASK_DEFINITION - The family and revision (family:revision) or full
ARN of the ECS task definition to run. Defaults to the latest ACTIVE
revision.</p></li>
<li><p>MAX_RUN_TASK_ATTEMPTS - The maximum number of times the Ecs Executor
should attempt to run a task. This refers to instances where the task
fails to start (i.e. ECS API failures, container failures etc.)</p></li>
<li><p>CHECK_HEALTH_ON_STARTUP - Whether or not to check the ECS Executor
health on startup</p></li>
</ul>
<p>For a more detailed description of available options, including type
hints and examples, see the <code class="docutils literal notranslate"><span class="pre">config_templates</span></code> folder in the Amazon
provider package.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p><code class="docutils literal notranslate"><span class="pre">exec_config</span></code> is an optional parameter that can be provided to operators. It is a dictionary type and in the context of the ECS Executor it represents a <code class="docutils literal notranslate"><span class="pre">run_task_kwargs</span></code> configuration which is then updated over-top of the <code class="docutils literal notranslate"><span class="pre">run_task_kwargs</span></code> specified in Airflow config above (if present). It is a recursive update which essentially applies Python update to each nested dictionary in the configuration. Loosely approximated as: <code class="docutils literal notranslate"><span class="pre">run_task_kwargs.update(exec_config)</span></code></p>
</div>
</div>
</div>
<div class="section" id="dockerfile-for-ecs-executor">
<span id="id2"></span><h2>Dockerfile for ECS Executor<a class="headerlink" href="#dockerfile-for-ecs-executor" title="Permalink to this heading"></a></h2>
<p>An example Dockerfile can be found <a class="reference external" href="https://github.com/apache/airflow/blob/main/airflow/providers/amazon/aws/executors/ecs/Dockerfile">here</a>, it creates an
image that can be used on an ECS container to run Airflow tasks using
the AWS ECS Executor in Apache Airflow. The image supports AWS CLI/API
integration, allowing you to interact with AWS services within your
Airflow environment. It also includes options to load DAGs (Directed
Acyclic Graphs) from either an S3 bucket or a local folder.</p>
<p>Download this image to use for the docker build commands below or create
your own image if you prefer.</p>
<div class="section" id="prerequisites">
<h3>Prerequisites<a class="headerlink" href="#prerequisites" title="Permalink to this heading"></a></h3>
<p>Docker must be installed on your system. Instructions for installing
Docker can be found <a class="reference external" href="https://docs.docker.com/get-docker/">here</a>.</p>
</div>
<div class="section" id="building-an-image">
<h3>Building an Image<a class="headerlink" href="#building-an-image" title="Permalink to this heading"></a></h3>
<p>The <a class="reference external" href="https://aws.amazon.com/cli/">AWS CLI</a> will be installed within the
image, and there are multiple ways to pass AWS authentication
information to the container and thus multiple ways to build the image.
This guide will cover 2 methods.</p>
<p>The most secure method is to use IAM roles. When creating an ECS Task
Definition, you are able to select a Task Role and a Task Execution
Role. The Task Execution Role is the role that is used by the container
agent to make AWS API requests on your behalf. For the purposes of the
ECS Executor, this role needs to have at least the
<code class="docutils literal notranslate"><span class="pre">AmazonECSTaskExecutionRolePolicy</span></code> as well as the
<code class="docutils literal notranslate"><span class="pre">CloudWatchLogsFullAccess</span></code> (or <code class="docutils literal notranslate"><span class="pre">CloudWatchLogsFullAccessV2</span></code>) policies. The Task Role is the role that is
used by the containers to make AWS API requests. This role needs to have
permissions based on the tasks that are described in the DAG being run.
If you are loading DAGs via an S3 bucket, this role needs to have
permission to read the S3 bucket.</p>
<p>To create a new Task Role or Task Execution Role, follow the steps
below:</p>
<ol class="arabic simple">
<li><p>Navigate to the IAM page on the AWS console, and from the left hand
tab, under Access Management, select Roles.</p></li>
<li><p>On the Roles page, click Create role on the top right hand corner.</p></li>
<li><p>Under Trusted entity type, select AWS Service.</p></li>
<li><p>Select Elastic Container Service from the drop down under Use case,
and Elastic Container Service Task as the specific use case. Click
Next.</p></li>
<li><p>In the Permissions page, select the permissions the role will need,
depending on whether the role is a Task Role or a Task Execution
Role. Click Next after selecting all the required permissions.</p></li>
<li><p>Enter a name for the new role, and an optional description. Review
the Trusted Entities, and the permissions for the role. Add any tags
as necessary, and click Create role.</p></li>
</ol>
<p>When creating the Task Definition for the ECS cluster (see the <a class="reference internal" href="#setup-guide"><span class="std std-ref">setup guide</span></a> for more details), select the appropriate
newly created Task Role and Task Execution role for the Task Definition.</p>
<p>Then you can build your image by <code class="docutils literal notranslate"><span class="pre">cd</span></code>-ing to the directory with the Dockerfile and running:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>build<span class="w"> </span>-t<span class="w"> </span>my-airflow-image<span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">aws_default_region</span><span class="o">=</span>YOUR_DEFAULT_REGION<span class="w"> </span>.
</pre></div>
</div>
<p>The second method is to use the build-time arguments
(<code class="docutils literal notranslate"><span class="pre">aws_access_key_id</span></code>, <code class="docutils literal notranslate"><span class="pre">aws_secret_access_key</span></code>,
<code class="docutils literal notranslate"><span class="pre">aws_default_region</span></code>, and <code class="docutils literal notranslate"><span class="pre">aws_session_token</span></code>).</p>
<p>Note: This method is not recommended for use in production environments,
because user credentials are stored in the container, which may be a
security vulnerability.</p>
<p>To pass AWS authentication information using these arguments, use the
<code class="docutils literal notranslate"><span class="pre">--build-arg</span></code> option during the Docker build process. For example:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>build<span class="w"> </span>-t<span class="w"> </span>my-airflow-image<span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">aws_access_key_id</span><span class="o">=</span>YOUR_ACCESS_KEY<span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">aws_secret_access_key</span><span class="o">=</span>YOUR_SECRET_KEY<span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">aws_default_region</span><span class="o">=</span>YOUR_DEFAULT_REGION<span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">aws_session_token</span><span class="o">=</span>YOUR_SESSION_TOKEN<span class="w"> </span>.
</pre></div>
</div>
<p>Replace <code class="docutils literal notranslate"><span class="pre">YOUR_ACCESS_KEY</span></code>, <code class="docutils literal notranslate"><span class="pre">YOUR_SECRET_KEY</span></code>,
<code class="docutils literal notranslate"><span class="pre">YOUR_SESSION_TOKEN</span></code>, and <code class="docutils literal notranslate"><span class="pre">YOUR_DEFAULT_REGION</span></code> with valid AWS
credentials.</p>
</div>
<div class="section" id="base-image">
<h3>Base Image<a class="headerlink" href="#base-image" title="Permalink to this heading"></a></h3>
<p>The Docker image created above is built upon the <code class="docutils literal notranslate"><span class="pre">apache/airflow:latest</span></code> image. See
<a class="reference external" href="https://hub.docker.com/r/apache/airflow">here</a> for more information
about the image.</p>
<p>Important note: The Airflow and python versions in this image must align
with the Airflow and python versions on the host/container which is
running the Airflow scheduler process (which in turn runs the executor).
The Airflow version of the image can be verified by running the
container locally with the following command:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>run<span class="w"> </span>my-airflow-image<span class="w"> </span>version
</pre></div>
</div>
<p>Similarly, the python version of the image can be verified the following
command:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>run<span class="w"> </span>my-airflow-image<span class="w"> </span>python<span class="w"> </span>--version
</pre></div>
</div>
<p>Ensure that these versions match the versions on the host/container
which is running the Airflow scheduler process (and thus, the ECS
executor.) Apache Airflow images with specific python versions can be
downloaded from the Dockerhub registry, and filtering tags by the
<a class="reference external" href="https://hub.docker.com/r/apache/airflow/tags?page=1&amp;name=3.8">python
version</a>.
For example, the tag <code class="docutils literal notranslate"><span class="pre">latest-python3.8</span></code> specifies that the image will
have python 3.8 installed. Update your Dockerfile to use the correct Airflow
image for your Python version.</p>
</div>
<div class="section" id="loading-dags">
<h3>Loading DAGs<a class="headerlink" href="#loading-dags" title="Permalink to this heading"></a></h3>
<p>There are many ways to load DAGs on the ECS container. This Dockerfile
is preconfigured with two possible ways: copying from a local folder, or
downloading from an S3 bucket. Other methods of loading DAGs are
possible as well.</p>
<div class="section" id="from-s3-bucket">
<h4>From S3 Bucket<a class="headerlink" href="#from-s3-bucket" title="Permalink to this heading"></a></h4>
<p>To load DAGs from an S3 bucket, uncomment the entrypoint line in the
Dockerfile to synchronize the DAGs from the specified S3 bucket to the
<code class="docutils literal notranslate"><span class="pre">/opt/airflow/dags</span></code> directory inside the container. You can optionally
provide <code class="docutils literal notranslate"><span class="pre">container_dag_path</span></code> as a build argument if you want to store
the DAGs in a directory other than <code class="docutils literal notranslate"><span class="pre">/opt/airflow/dags</span></code>.</p>
<p>Add <code class="docutils literal notranslate"><span class="pre">--build-arg</span> <span class="pre">s3_uri=YOUR_S3_URI</span></code> in the docker build command.
Replace <code class="docutils literal notranslate"><span class="pre">YOUR_S3_URI</span></code> with the URI of your S3 bucket. Make sure you
have the appropriate permissions to read from the bucket.</p>
<p>Note that the following command is also passing in AWS credentials as
build arguments.</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>build<span class="w"> </span>-t<span class="w"> </span>my-airflow-image<span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">aws_access_key_id</span><span class="o">=</span>YOUR_ACCESS_KEY<span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">aws_secret_access_key</span><span class="o">=</span>YOUR_SECRET_KEY<span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">aws_default_region</span><span class="o">=</span>YOUR_DEFAULT_REGION<span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">aws_session_token</span><span class="o">=</span>YOUR_SESSION_TOKEN<span class="w"> </span><span class="se">\</span>
<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">s3_uri</span><span class="o">=</span>YOUR_S3_URI<span class="w"> </span>.
</pre></div>
</div>
</div>
<div class="section" id="from-local-folder">
<h4>From Local Folder<a class="headerlink" href="#from-local-folder" title="Permalink to this heading"></a></h4>
<p>To load DAGs from a local folder, place your DAG files in a folder
within the docker build context on your host machine, and provide the
location of the folder using the <code class="docutils literal notranslate"><span class="pre">host_dag_path</span></code> build argument. By
default, the DAGs will be copied to <code class="docutils literal notranslate"><span class="pre">/opt/airflow/dags</span></code>, but this can
be changed by passing the <code class="docutils literal notranslate"><span class="pre">container_dag_path</span></code> build-time argument
during the Docker build process:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>docker<span class="w"> </span>build<span class="w"> </span>-t<span class="w"> </span>my-airflow-image<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">host_dag_path</span><span class="o">=</span>./dags_on_host<span class="w"> </span>--build-arg<span class="w"> </span><span class="nv">container_dag_path</span><span class="o">=</span>/path/on/container<span class="w"> </span>.
</pre></div>
</div>
<p>If choosing to load DAGs onto a different path than
<code class="docutils literal notranslate"><span class="pre">/opt/airflow/dags</span></code>, then the new path will need to be updated in the
Airflow config.</p>
</div>
</div>
<div class="section" id="installing-python-dependencies">
<h3>Installing Python Dependencies<a class="headerlink" href="#installing-python-dependencies" title="Permalink to this heading"></a></h3>
<p>This Dockerfile supports installing Python dependencies via <code class="docutils literal notranslate"><span class="pre">pip</span></code> from
a <code class="docutils literal notranslate"><span class="pre">requirements.txt</span></code> file. Place your <code class="docutils literal notranslate"><span class="pre">requirements.txt</span></code> file in the
same directory as the Dockerfile. If it is in a different location, it
can be specified using the <code class="docutils literal notranslate"><span class="pre">requirements_path</span></code> build-argument. Keep in
mind the Docker context when copying the <code class="docutils literal notranslate"><span class="pre">requirements.txt</span></code> file.
Uncomment the two appropriate lines in the Dockerfile that copy the
<code class="docutils literal notranslate"><span class="pre">requirements.txt</span></code> file to the container, and run <code class="docutils literal notranslate"><span class="pre">pip</span> <span class="pre">install</span></code> to
install the dependencies on the container.</p>
</div>
<div class="section" id="building-image-for-ecs-executor">
<h3>Building Image for ECS Executor<a class="headerlink" href="#building-image-for-ecs-executor" title="Permalink to this heading"></a></h3>
<p>Detailed instructions on how to use the Docker image, that you have
created via this readme, with the ECS Executor can be found
<a class="reference internal" href="#setup-guide"><span class="std std-ref">here</span></a>.</p>
</div>
</div>
<div class="section" id="logging">
<span id="id3"></span><h2>Logging<a class="headerlink" href="#logging" title="Permalink to this heading"></a></h2>
<p>Airflow tasks executed via this executor run in ECS containers within
the configured VPC. This means that logs are not directly accessible to
the Airflow Webserver and when containers are stopped, after task
completion, the logs would be permanently lost.</p>
<p>Remote logging should be employed when using the ECS executor to persist
your Airflow Task logs and make them viewable from the Airflow
Webserver.</p>
<div class="section" id="configuring-remote-logging">
<h3>Configuring Remote Logging<a class="headerlink" href="#configuring-remote-logging" title="Permalink to this heading"></a></h3>
<p>There are many ways to configure remote logging and several supported
destinations. A general overview of Airflow Task logging can be found
<a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/administration-and-deployment/logging-monitoring/logging-tasks.html">here</a>.
Instructions for configuring S3 remote logging can be found
<a class="reference external" href="https://airflow.apache.org/docs/apache-airflow-providers-amazon/stable/logging/s3-task-handler.html">here</a>
and Cloudwatch remote logging
<a class="reference external" href="https://airflow.apache.org/docs/apache-airflow-providers-amazon/stable/logging/cloud-watch-task-handlers.html">here</a>.
Some important things to point out for remote logging in the context of
the ECS executor:</p>
<ul class="simple">
<li><p>The configuration options for Airflow remote logging should be
configured on all hosts and containers running Airflow. For example
the Webserver requires this config so that it can fetch logs from
the remote location and the ECS container requires the config so that
it can upload the logs to the remote location. See
<a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/howto/set-config.html">here</a>
to read more about how to set Airflow configuration via config file
or environment variable exports.</p></li>
<li><p>Adding the Airflow remote logging config to the container can be done
in many ways. Some examples include, but are not limited to:</p>
<ul>
<li><p>Exported as environment variables directly in the Dockerfile (see
the Dockerfile section <a class="reference internal" href="#dockerfile-for-ecs-executor"><span class="std std-ref">above</span></a>)</p></li>
<li><p>Updating the <code class="docutils literal notranslate"><span class="pre">airflow.cfg</span></code> file or copy/mounting/downloading a
custom <code class="docutils literal notranslate"><span class="pre">airflow.cfg</span></code> in the Dockerfile.</p></li>
<li><p>Added in the ECS Task Definition in plain text or via
<a class="reference external" href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/secrets-envvar.html">Secrets/System
Manager</a></p></li>
<li><p>Or, using <a class="reference external" href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/taskdef-envfiles.html">ECS Task Environment
Files</a></p></li>
</ul>
</li>
<li><p>You must have credentials configured within the container to be able
to interact with the remote service for your logs (e.g. S3,
CloudWatch Logs, etc). This can be done in many ways. Some examples
include, but are not limited to:</p>
<ul>
<li><p>Export credentials into the Dockerfile directly (see the
Dockerfile section <a class="reference internal" href="#dockerfile-for-ecs-executor"><span class="std std-ref">above</span></a>)</p></li>
<li><p>Configure an Airflow Connection and provide this as the <a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#remote-log-conn-id">remote
logging conn
id</a>
(exported into the container by any of the means listed above or
your preferred method). Airflow will then use these credentials
<em>specifically</em> for interacting with your chosen remote logging
destination.</p></li>
</ul>
</li>
</ul>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Configuration options must be consistent across all the hosts/environments running the Airflow components (Scheduler, Webserver, ECS Task containers, etc). See <a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html">here</a> for more details on setting configurations.</p>
</div>
</div>
<div class="section" id="ecs-task-logging">
<h3>ECS Task Logging<a class="headerlink" href="#ecs-task-logging" title="Permalink to this heading"></a></h3>
<p>ECS can be configured to use the awslogs log driver to send log
information to CloudWatch Logs for the ECS Tasks themselves. These logs
will include the Airflow Task Operator logging and any other logging
that occurs throughout the life of the process running in the container
(in this case the Airflow CLI command <code class="docutils literal notranslate"><span class="pre">airflow</span> <span class="pre">tasks</span> <span class="pre">run</span> <span class="pre">...</span></code>). This
can be helpful for debugging issues with remote logging or while testing
remote logging configuration. Information on enabling this logging can
be found
<a class="reference external" href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/using_awslogs.html">here</a>.</p>
<p><strong>Note: These logs will NOT be viewable from the Airflow Webserver UI.</strong></p>
</div>
<div class="section" id="performance-and-tuning">
<h3>Performance and Tuning<a class="headerlink" href="#performance-and-tuning" title="Permalink to this heading"></a></h3>
<p>While the ECS executor adds about 50-60 seconds of latency to each
Airflow task execution, due to container startup time, it allows for a
higher degree of parallelism and isolation. We have tested this executor
with over 1,000 tasks scheduled in parallel and observed that up to 500
tasks could be run in parallel simultaneously. The limit of 500 tasks is
in accordance with <a class="reference external" href="https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-quotas.html">ECS Service
Quotas</a>.</p>
<p>When running this executor, and Airflow generally, at a large scale
there are some configuration options to take into consideration. Many of
the below configurations will either limit how many tasks can run
concurrently or the performance of the scheduler.</p>
<ul class="simple">
<li><p><a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#max-active-tasks-per-dag">core.max_active_tasks_per_dag</a></p></li>
<li><p><a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#max-active-runs-per-dag">core.max_active_runs_per_dag</a></p></li>
<li><p><a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#parallelism">core.parallelism</a></p></li>
<li><p><a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#max-tis-per-query">scheduler.max_tis_per_query</a></p></li>
<li><p><a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#default-pool-task-slot-count">default_pool_task_slot_count</a></p></li>
<li><p><a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html#scheduler-health-check-threshold">scheduler_health_check_threshold</a></p></li>
</ul>
</div>
</div>
<div class="section" id="setting-up-an-ecs-executor-for-apache-airflow">
<span id="setup-guide"></span><h2>Setting up an ECS Executor for Apache Airflow<a class="headerlink" href="#setting-up-an-ecs-executor-for-apache-airflow" title="Permalink to this heading"></a></h2>
<p>There are 3 steps involved in getting an ECS Executor to work in Apache Airflow:</p>
<ol class="arabic simple">
<li><p>Creating a database that Airflow and the tasks running in ECS can connect to.</p></li>
<li><p>Creating and configuring an ECS Cluster that can run tasks from Airflow.</p></li>
<li><p>Configuring Airflow to use the ECS Executor and the database.</p></li>
</ol>
<p>There are different options for selecting a database backend. See <a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/howto/set-up-database.html">here</a> for more information about the different options supported by Airflow. The following guide will explain how to set up a PostgreSQL RDS Instance on AWS. The guide will also cover setting up an ECS cluster. The ECS Executor supports various launch types, but this guide will explain how to set up an ECS Fargate cluster.</p>
<div class="section" id="setting-up-an-rds-db-instance-for-ecs-executors">
<h3>Setting up an RDS DB Instance for ECS Executors<a class="headerlink" href="#setting-up-an-rds-db-instance-for-ecs-executors" title="Permalink to this heading"></a></h3>
</div>
<div class="section" id="create-the-rds-db-instance">
<h3>Create the RDS DB Instance<a class="headerlink" href="#create-the-rds-db-instance" title="Permalink to this heading"></a></h3>
<ol class="arabic simple">
<li><p>Log in to your AWS Management Console and navigate to the RDS service.</p></li>
<li><p>Click “Create database” to start creating a new RDS instance.</p></li>
<li><p>Choose the “Standard create” option, and select PostreSQL.</p></li>
<li><p>Select the appropriate template, availability and durability.</p>
<ul class="simple">
<li><p>NOTE: At the time of this writing, the “Multi-AZ DB <strong>Cluster</strong>” option does not support setting the database name, which is a required step below.</p></li>
</ul>
</li>
<li><p>Set the DB Instance name, the username and password.</p></li>
<li><p>Choose the instance configuration, and storage parameters.</p></li>
<li><p>In the Connectivity section, select Don’t connect to an EC2 compute resource</p></li>
<li><p>Select or create a VPC and subnet, and allow public access to the DB. Select or create security group and select the Availability Zone.</p></li>
<li><p>Open the Additional Configuration tab and set the database name to <code class="docutils literal notranslate"><span class="pre">airflow_db</span></code>.</p></li>
<li><p>Select other settings as required, and create the database by clicking Create database.</p></li>
</ol>
</div>
<div class="section" id="test-connectivity">
<h3>Test Connectivity<a class="headerlink" href="#test-connectivity" title="Permalink to this heading"></a></h3>
<p>In order to be able to connect to the new RDS instance, you need to allow inbound traffic to the database from your IP address.</p>
<ol class="arabic simple">
<li><p>Under the “Security” heading in the “Connectivity &amp; security” tab of the RDS instance, find the link to the VPC security group for your new RDS DB instance.</p></li>
<li><p>Create an inbound rule that allows traffic from your IP address(es) on TCP port 5432 (PostgreSQL).</p></li>
<li><p>Confirm that you can connect to the DB after modifying the security group. This will require having <code class="docutils literal notranslate"><span class="pre">psql</span></code> installed. Instructions for installing <code class="docutils literal notranslate"><span class="pre">psql</span></code> can be found <a class="reference external" href="https://www.postgresql.org/download/">here</a>.</p></li>
</ol>
<p><strong>NOTE</strong>: Be sure that the status of your DB is Available before testing connectivity</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>psql<span class="w"> </span>-h<span class="w"> </span>&lt;endpoint&gt;<span class="w"> </span>-p<span class="w"> </span><span class="m">5432</span><span class="w"> </span>-U<span class="w"> </span>&lt;username&gt;<span class="w"> </span>&lt;db_name&gt;
</pre></div>
</div>
<p>The endpoint can be found on the “Connectivity and Security” tab, the username (and password) are the credentials used when creating the database.</p>
<p>The db_name should be <code class="docutils literal notranslate"><span class="pre">airflow_db</span></code> (unless a different one was used when creating the database.)</p>
<p>You will be prompted to enter the password if the connection is successful.</p>
</div>
</div>
<div class="section" id="creating-an-ecs-cluster-with-fargate-and-task-definitions">
<h2>Creating an ECS Cluster with Fargate, and Task Definitions<a class="headerlink" href="#creating-an-ecs-cluster-with-fargate-and-task-definitions" title="Permalink to this heading"></a></h2>
<p>In order to create a Task Definition for the ECS Cluster that will work with Apache Airflow, you will need a Docker image that is properly configured. See the <a class="reference internal" href="#dockerfile-for-ecs-executor"><span class="std std-ref">Dockerfile</span></a> section for instructions on how to do that.</p>
<p>Once the image is built, it needs to be put in a repository where it can be pulled by ECS. There are multiple ways to accomplish this. This guide will go over doing this using Amazon Elastic Container Registry (ECR).</p>
<div class="section" id="create-an-ecr-repository">
<h3>Create an ECR Repository<a class="headerlink" href="#create-an-ecr-repository" title="Permalink to this heading"></a></h3>
<ol class="arabic simple">
<li><p>Log in to your AWS Management Console and navigate to the ECR service.</p></li>
<li><p>Click Create repository.</p></li>
<li><p>Name the repository and fill out other information as required.</p></li>
<li><p>Click Create Repository.</p></li>
<li><p>Once the repository has been created, click on the repository. Click on the “View push commands” button on the top right.</p></li>
<li><p>Follow the instructions to push the Docker image, replacing image names as appropriate. Ensure the image is uploaded by refreshing the page once the image is pushed.</p></li>
</ol>
</div>
<div class="section" id="create-ecs-cluster">
<h3>Create ECS Cluster<a class="headerlink" href="#create-ecs-cluster" title="Permalink to this heading"></a></h3>
<ol class="arabic simple">
<li><p>Log in to your AWS Management Console and navigate to the Amazon Elastic Container Service.</p></li>
<li><p>Click “Clusters” then click “Create Cluster”.</p></li>
<li><p>Make sure that AWS Fargate (Serverless) is selected under Infrastructure.</p></li>
<li><p>Select other options as required and click Create to create the cluster.</p></li>
</ol>
</div>
<div class="section" id="create-task-definition">
<h3>Create Task Definition<a class="headerlink" href="#create-task-definition" title="Permalink to this heading"></a></h3>
<ol class="arabic simple">
<li><p>Click on Task Definitions on the left hand bar, and click Create new task definition.</p></li>
<li><p>Choose the Task Definition Family name. Select AWS Fargate for the Launch Type.</p></li>
<li><p>Select or create the Task Role and Task Execution Role, and ensure the roles have the required permissions to accomplish their respective tasks. You can choose to create a new Task Execution role that will have the basic minimum permissions in order for the task to run.</p></li>
<li><p>Select a name for the container, and use the image URI of the image that was pushed in the previous section. Make sure the role being used has the required permissions to pull the image.</p></li>
<li><p>Add the following environment variables to the container:</p></li>
</ol>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">AIRFLOW__DATABASE__SQL_ALCHEMY_CONN</span></code>, with the value being the PostgreSQL connection string in the following format using the values set during the <a class="reference external" href="#create-the-rds-db-instance">Database section</a> above:</p></li>
</ul>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>postgresql+psycopg2://&lt;username&gt;:&lt;password&gt;@&lt;endpoint&gt;/&lt;database_name&gt;
</pre></div>
</div>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">AIRFLOW__ECS_EXECUTOR__SECURITY_GROUPS</span></code>, with the value being a comma separated list of security group IDs associated with the VPC used for the RDS instance.</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">AIRFLOW__ECS_EXECUTOR__SUBNETS</span></code>, with the value being a comma separated list of subnet IDs of the subnets associated with the RDS instance.</p></li>
</ul>
<ol class="arabic simple">
<li><p>Add other configuration as necessary for Airflow generally (see <a class="reference external" href="https://airflow.apache.org/docs/apache-airflow/stable/configurations-ref.html">here</a>), the ECS executor (see <a class="reference internal" href="#config-options"><span class="std std-ref">here</span></a>) or for remote logging (see <a class="reference internal" href="#logging"><span class="std std-ref">here</span></a>). Note that any configuration changes should be made across the entire Airflow environment to keep configuration consistent.</p></li>
<li><p>Click Create.</p></li>
</ol>
</div>
<div class="section" id="allow-ecs-containers-to-access-rds-database">
<h3>Allow ECS Containers to Access RDS Database<a class="headerlink" href="#allow-ecs-containers-to-access-rds-database" title="Permalink to this heading"></a></h3>
<p>As a final step, access to the database must be configured for the ECS containers. Many different networking configurations are possible, but one possible approach is:</p>
<ol class="arabic simple">
<li><p>Log in to your AWS Management Console and navigate to the VPC Dashboard.</p></li>
<li><p>On the left hand, under the Security heading, click Security groups.</p></li>
<li><p>Select the security group associated with your RDS instance, and click Edit inbound rules.</p></li>
<li><p>Add a new rule that allows PostgreSQL type traffic to the CIDR of the subnet(s) associated with the Ecs cluster.</p></li>
</ol>
</div>
<div class="section" id="configure-airflow">
<h3>Configure Airflow<a class="headerlink" href="#configure-airflow" title="Permalink to this heading"></a></h3>
<p>To configure Airflow to utilize the ECS Executor and leverage the resources we’ve set up, create a script (e.g., <code class="docutils literal notranslate"><span class="pre">ecs_executor_config.sh</span></code>) with the following contents:</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span><span class="nb">export</span><span class="w"> </span><span class="nv">AIRFLOW__CORE__EXECUTOR</span><span class="o">=</span><span class="s1">&#39;airflow.providers.amazon.aws.executors.ecs.ecs_executor.AwsEcsExecutor&#39;</span>
<span class="nb">export</span><span class="w"> </span><span class="nv">AIRFLOW__DATABASE__SQL_ALCHEMY_CONN</span><span class="o">=</span>&lt;postgres-connection-string&gt;
<span class="nb">export</span><span class="w"> </span><span class="nv">AIRFLOW__AWS_ECS_EXECUTOR__REGION_NAME</span><span class="o">=</span>&lt;executor-region&gt;
<span class="nb">export</span><span class="w"> </span><span class="nv">AIRFLOW__AWS_ECS_EXECUTOR__CLUSTER</span><span class="o">=</span>&lt;ecs-cluster-name&gt;
<span class="nb">export</span><span class="w"> </span><span class="nv">AIRFLOW__AWS_ECS_EXECUTOR__CONTAINER_NAME</span><span class="o">=</span>&lt;ecs-container-name&gt;
<span class="nb">export</span><span class="w"> </span><span class="nv">AIRFLOW__AWS_ECS_EXECUTOR__TASK_DEFINITION</span><span class="o">=</span>&lt;task-definition-name&gt;
<span class="nb">export</span><span class="w"> </span><span class="nv">AIRFLOW__AWS_ECS_EXECUTOR__LAUNCH_TYPE</span><span class="o">=</span><span class="s1">&#39;FARGATE&#39;</span>
<span class="nb">export</span><span class="w"> </span><span class="nv">AIRFLOW__AWS_ECS_EXECUTOR__PLATFORM_VERSION</span><span class="o">=</span><span class="s1">&#39;LATEST&#39;</span>
<span class="nb">export</span><span class="w"> </span><span class="nv">AIRFLOW__AWS_ECS_EXECUTOR__ASSIGN_PUBLIC_IP</span><span class="o">=</span><span class="s1">&#39;True&#39;</span>
<span class="nb">export</span><span class="w"> </span><span class="nv">AIRFLOW__AWS_ECS_EXECUTOR__SECURITY_GROUPS</span><span class="o">=</span>&lt;security-group-id-for-rds&gt;
<span class="nb">export</span><span class="w"> </span><span class="nv">AIRFLOW__AWS_ECS_EXECUTOR__SUBNETS</span><span class="o">=</span>&lt;subnet-id-for-rds&gt;
</pre></div>
</div>
<p>This script should be run on the host(s) running the Airflow Scheduler and Webserver, before those processes are started.</p>
<p>The script sets environment variables that configure Airflow to use the ECS Executor and provide necessary information for task execution. Any other configuration changes made (such as for remote logging) should be added to this example script to keep configuration consistent across the Airflow environment.</p>
</div>
<div class="section" id="initialize-the-airflow-db">
<h3>Initialize the Airflow DB<a class="headerlink" href="#initialize-the-airflow-db" title="Permalink to this heading"></a></h3>
<p>The Airflow DB needs to be initialized before it can be used and a user needs to be added for you to log in. The below command adds an admin user (the command will also initialize the DB if it hasn’t been already):</p>
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>airflow<span class="w"> </span>users<span class="w"> </span>create<span class="w"> </span>--username<span class="w"> </span>admin<span class="w"> </span>--password<span class="w"> </span>admin<span class="w"> </span>--firstname<span class="w"> </span>&lt;your<span class="w"> </span>first<span class="w"> </span>name&gt;<span class="w"> </span>--lastname<span class="w"> </span>&lt;your<span class="w"> </span>last<span class="w"> </span>name&gt;<span class="w"> </span>--email<span class="w"> </span>&lt;your<span class="w"> </span>email&gt;<span class="w"> </span>--role<span class="w"> </span>Admin
</pre></div>
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