emilymye commented on a change in pull request #13420: URL: https://github.com/apache/beam/pull/13420#discussion_r538733648
########## File path: website/www/site/content/en/documentation/runtime/environments.md ########## @@ -17,147 +17,232 @@ limitations under the License. # Container environments -The Beam SDK runtime environment is isolated from other runtime systems because the SDK runtime environment is [containerized](https://s.apache.org/beam-fn-api-container-contract) with [Docker](https://www.docker.com/). This means that any execution engine can run the Beam SDK. +The Beam SDK runtime environment can be [containerized](https://www.docker.com/resources/what-container) with [Docker](https://www.docker.com/) to isolate it from other runtime systems. To learn more about the container environment, read the Beam [SDK Harness container contract](https://s.apache.org/beam-fn-api-container-contract). -This page describes how to customize, build, and push Beam SDK container images. +Prebuilt SDK container images are released per supported language during Beam releases and pushed to [Docker Hub](https://hub.docker.com/search?q=apache%2Fbeam&type=image). -Before you begin, install [Docker](https://www.docker.com/) on your workstation. +## Custom containers -## Customizing container images +You may want to customize container images for many reasons, including: -You can add extra dependencies to container images so that you don't have to supply the dependencies to execution engines. +* Pre-installing additional dependencies +* Launching third-party software in the worker environment +* Further customizing the execution environment -To customize a container image, either: -* [Write a new](#writing-new-dockerfiles) [Dockerfile](https://docs.docker.com/engine/reference/builder/) on top of the original. -* [Modify](#modifying-dockerfiles) the [original Dockerfile](https://github.com/apache/beam/blob/master/sdks/python/container/Dockerfile) and reimage the container. + This guide describes how to create and use customized containers for the Beam SDK. -It's often easier to write a new Dockerfile. However, by modifying the original Dockerfile, you can customize anything (including the base OS). +### Prerequisites -### Writing new Dockerfiles on top of the original {#writing-new-dockerfiles} +* You will need to use Docker, either by [installing Docker tools locally](https://docs.docker.com/get-docker/) or using build services that can run Docker, such as [Google Cloud Build](https://cloud.google.com/cloud-build/docs/building/build-containers). +* You will need to have a container registry accessible by your execution engine or runner to host a custom container image. Options include [Docker Hub](https://hub.docker.com/) or a "self-hosted" repository, including cloud-specific container registries like [Google Container Registry](https://cloud.google.com/container-registry) (GCR) or [Amazon Elastic Container Registry](https://aws.amazon.com/ecr/) (ECR). + +> **NOTE**: On Nov 20, 2020, Docker Hub put [rate limits](https://www.docker.com/increase-rate-limits) into effect for anonymous and free authenticated use, which may impact larger pipelines that pull containers several times. + +For optimal user experience, we also recommend you use the latest released version of Beam. + +### Building and pushing custom containers + +Beam [SDK container images](https://hub.docker.com/search?q=apache%2Fbeam&type=image) are built from Dockerfiles checked into the [Github](https://github.com/apache/beam) repository and published to Docker Hub for every release. You can build customized containers in one of two ways: + +1. **[Writing a new](#writing-new-dockerfiles) Dockerfile based on a released container image**. This is sufficient for simple additions to the image, such as adding artifacts or environment variables. +2. **[Modifying](#modifying-dockerfiles) a source Dockerfile in [Beam](https://github.com/apache/beam)**. This method requires building from Beam source but allows for greater customization of the container (including replacement of artifacts or base OS/language versions). + +#### Writing a new Dockerfile based on an existing published container image {#writing-new-dockerfiles} + +Steps: + +1. Create a new Dockerfile that designates a base image using the [FROM instruction](https://docs.docker.com/engine/reference/builder/#from). As an example, this `Dockerfile`: -1. Pull a [prebuilt SDK container image](https://hub.docker.com/search?q=apache%2Fbeam&type=image) for your [target](https://docs.docker.com/docker-hub/repos/#searching-for-repositories) language and version. The following example pulls the latest Python SDK: ``` -docker pull apache/beam_python3.7_sdk +FROM apache/beam_python3.7_sdk:2.25.0 + +ENV FOO=bar +COPY /src/path/to/file /dest/path/to/file/ ``` -2. [Write a new Dockerfile](https://docs.docker.com/develop/develop-images/dockerfile_best-practices/) that [designates](https://docs.docker.com/engine/reference/builder/#from) the original as its [parent](https://docs.docker.com/glossary/?term=parent%20image). -3. [Build](#building-container-images) a child image. -### Modifying the original Dockerfile {#modifying-dockerfiles} +uses the prebuilt Python 3.7 SDK container image [`beam_python3.7_sdk`](https://hub.docker.com/r/apache/beam_python3.7_sdk) tagged at (SDK version) `2.25.0`, and adds an additional environment variable and file to the image. + + +2. [Build](https://docs.docker.com/engine/reference/commandline/build/) and [push](https://docs.docker.com/engine/reference/commandline/push/) the image using Docker. + -1. Clone the `beam` repository: ``` -git clone https://github.com/apache/beam.git +export BASE_IMAGE="apache/beam_python3.7_sdk:2.25.0" +export IMAGE_NAME="myremoterepo/mybeamsdk" +export TAG="latest" + +# Optional - pull the base image into your local Docker daemon to ensure +# you have the most up-to-date version of the base image locally. +docker pull "${BASE_IMAGE}" + +docker build -f Dockerfile -t "${IMAGE_NAME}:${TAG}" . +docker push "${IMAGE_NAME}:${TAG}" ``` -2. Customize the [Dockerfile](https://github.com/apache/beam/blob/master/sdks/python/container/Dockerfile). If you're adding dependencies from [PyPI](https://pypi.org/), use [`base_image_requirements.txt`](https://github.com/apache/beam/blob/master/sdks/python/container/base_image_requirements.txt) instead. -3. [Reimage](#building-container-images) the container. -### Testing customized images +**NOTE**: After pushing a container image, you should verify the remote image ID and digest should match the local image ID and digest, output from `docker build` or `docker images`. -To test a customized image locally, run a pipeline with PortableRunner and set the `--environment_config` flag to the image path: +#### Modifying a source Dockerfile in Beam {#modifying-dockerfiles} -{{< highlight class="runner-direct" >}} -python -m apache_beam.examples.wordcount \ ---input=/path/to/inputfile \ ---output /path/to/write/counts \ ---runner=PortableRunner \ ---job_endpoint=embed \ ---environment_config=path/to/container/image -{{< /highlight >}} +This method will require building image artifacts from Beam source. For additional instructions on setting up your development environment, see the [Contribution guide](contribute/#development-setup). -{{< highlight class="runner-flink-local" >}} -# Start a Flink job server on localhost:8099 -./gradlew :runners:flink:1.8:job-server:runShadow +1. Clone the `beam` repository. It is recommended that you start from a stable + release branch rather than from master for both customizing the Dockerfile + and building image artifacts, and that you use the same version of the SDK + to run your pipeline with a custom container. -# Run a pipeline on the Flink job server -python -m apache_beam.examples.wordcount \ ---input=/path/to/inputfile \ ---output=/path/to/write/counts \ ---runner=PortableRunner \ ---job_endpoint=localhost:8099 \ ---environment_config=path/to/container/image -{{< /highlight >}} +``` +export BEAM_SDK_VERSION="2.26.0" -{{< highlight class="runner-spark-local" >}} -# Start a Spark job server on localhost:8099 -./gradlew :runners:spark:job-server:runShadow +git clone https://github.com/apache/beam.git +git checkout origin/release-$BEAM_SDK_VERSION +``` -# Run a pipeline on the Spark job server -python -m apache_beam.examples.wordcount \ ---input=/path/to/inputfile \ ---output=path/to/write/counts \ ---runner=PortableRunner \ ---job_endpoint=localhost:8099 \ ---environment_config=path/to/container/image -{{< /highlight >}} +3. Customize the `Dockerfile` for a given language. This file is typically in the `sdks/<language>/container` directory (e.g. the [Dockerfile for Python](https://github.com/apache/beam/blob/master/sdks/python/container/Dockerfile). If you're adding dependencies from [PyPI](https://pypi.org/), use [`base_image_requirements.txt`](https://github.com/apache/beam/blob/master/sdks/python/container/base_image_requirements.txt) instead. -## Building container images +3. Navigate to the root directory of the local copy of your Apache Beam. Review comment: Tried to make it clearer (added some env var setting in instructions) - mostly worried installed might get confused for package installation (i.e. where pip installed Beam) ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. 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