bzablocki commented on code in PR #27284:
URL: https://github.com/apache/beam/pull/27284#discussion_r1511512821
##########
examples/notebooks/get-started/try-apache-beam-yaml.ipynb:
##########
@@ -0,0 +1,671 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "colab_type": "text",
+ "id": "view-in-github"
+ },
+ "source": [
+ "<a
href=\"https://colab.research.google.com/github/apache/beam/blob/master/examples/notebooks/get-started/try-apache-beam-yaml.ipynb\";
target=\"_parent\"><img
src=\"https://colab.research.google.com/assets/colab-badge.svg\"; alt=\"Open In
Colab\"/></a>\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "cellView": "form"
+ },
+ "outputs": [],
+ "source": [
+ "#@title ###### Licensed to the Apache Software Foundation (ASF), Version
2.0 (the \"License\")\n",
+ "\n",
+ "# Licensed to the Apache Software Foundation (ASF) under one\n",
+ "# or more contributor license agreements. See the NOTICE file\n",
+ "# distributed with this work for additional information\n",
+ "# regarding copyright ownership. The ASF licenses this file\n",
+ "# to you under the Apache License, Version 2.0 (the\n",
+ "# \"License\"); you may not use this file except in compliance\n",
+ "# with the License. You may obtain a copy of the License at\n",
+ "#\n",
+ "# http://www.apache.org/licenses/LICENSE-2.0\n";,
+ "#\n",
+ "# Unless required by applicable law or agreed to in writing,\n",
+ "# software distributed under the License is distributed on an\n",
+ "# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n",
+ "# KIND, either express or implied. See the License for the\n",
+ "# specific language governing permissions and limitations\n",
+ "# under the License."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "colab_type": "text",
+ "id": "lNKIMlEDZ_Vw"
+ },
+ "source": [
+ "# Try Apache Beam - YAML\n",
+ "\n",
+ "While Beam provides powerful APIs for authoring sophisticated data
processing pipelines, it still has a high barrier for getting started and
authoring simple pipelines. Even setting up the environment, installing the
dependencies, and setting up the project can be a challenge.\n",
+ "\n",
+ "Here we provide a simple declarative syntax for describing pipelines that
does not require coding experience or learning how to use an SDK—any text
editor will do. Some installation may be required to actually *execute* a
pipeline, but we envision various services (such as Dataflow) to accept yaml
pipelines directly obviating the need for even that in the future. We also
anticipate the ability to generate code directly from these higher-level yaml
descriptions, should one want to graduate to a full Beam SDK (and possibly the
other direction as well as far as possible).\n",
+ "\n",
+ "It should be noted that everything here is still under development, but
any features already included are considered stable. Feedback is welcome at
[email protected].\n",
+ "\n",
+ "In this notebook, you set up your development environment and write a
simple pipeline using YAML. Then you run it locally, using the
[DirectRunner](https://beam.apache.org/documentation/runners/direct/). You can
explore other runners with the [Beam Capability
Matrix](https://beam.apache.org/documentation/runners/capability-matrix/).\n",
+ "\n",
+ "To navigate through different sections, use the table of contents. From
**View** drop-down list, select **Table of contents**.\n",
+ "\n",
+ "To run a code cell, click the **Run cell** button at the top left of the
cell, or select it and press **`Shift+Enter`**. Try modifying a code cell and
re-running it to see what happens.\n",
+ "\n",
+ "To learn more about Colab, see [Welcome to
Colaboratory!](https://colab.sandbox.google.com/notebooks/welcome.ipynb)."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "colab_type": "text",
+ "id": "Fz6KSQ13_3Rr"
+ },
+ "source": [
+ "# Setup\n",
+ "\n",
+ "First, you need to set up your environment. The following code installs
`apache-beam` and creates directories for your data, pipelines and results."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/";,
+ "height": 170
+ },
+ "colab_type": "code",
+ "id": "GOOk81Jj_yUy",
+ "outputId": "d283dfb2-4f51-4fec-816b-f57b0cb9b71c"
+ },
+ "outputs": [],
+ "source": [
+ "def save_to_file(content, file_name):\n",
+ " with open(file_name, 'w') as f:\n",
+ " f.write(content)\n",
+ "\n",
Review Comment:
@Polber could you respond to this comment, please? I'm not sure which
implementation to go with.
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