bzablocki commented on code in PR #27284:
URL: https://github.com/apache/beam/pull/27284#discussion_r1247768969
##########
examples/notebooks/get-started/try-apache-beam-yaml.ipynb:
##########
@@ -0,0 +1,646 @@
+{
+ "nbformat": 4,
+ "nbformat_minor": 0,
+ "metadata": {
+ "colab": {
+ "name": "Try Apache Beam - Python",
+ "version": "0.3.2",
+ "provenance": [],
+ "collapsed_sections": [],
+ "toc_visible": true,
+ "include_colab_link": true
+ },
+ "kernelspec": {
+ "name": "python2",
+ "display_name": "Python 2"
+ }
+ },
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "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,
+ "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."
+ ],
+ "outputs": [],
+ "metadata": {
+ "cellView": "form"
+ }
+ },
+ {
+ "metadata": {
+ "id": "lNKIMlEDZ_Vw",
+ "colab_type": "text"
+ },
+ "cell_type": "markdown",
+ "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 an overwhelming amount of
boilerplate.\n",
+ "\n",
+ "Here we provide a simple YAML syntax for describing pipelines that does
not require coding experience or learning how to use an SDK—any text
editor will do.\n",
+ "\n",
+ "Please note: YAML API is still EXPERIMENTAL and subject to change.\n",
+ "\n",
+ "In this notebook, we set up your development environment and write a
simple pipeline using YAML. We'll run it locally, using the
[DirectRunner](https://beam.apache.org/documentation/runners/direct/). You can
explore other runners with the [Beam Capatibility
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, you can click the **Run cell** button at the top left
of the cell, or by 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)."
+ ]
+ },
+ {
+ "metadata": {
+ "id": "Fz6KSQ13_3Rr",
+ "colab_type": "text"
+ },
+ "cell_type": "markdown",
+ "source": [
+ "# Setup\n",
+ "\n",
+ "First, you need to set up your environment, which includes installing
`apache-beam` and downloading a text file from Cloud Storage to your local file
system. We are using this file to test your pipeline."
+ ]
+ },
+ {
+ "metadata": {
+ "id": "GOOk81Jj_yUy",
+ "colab_type": "code",
+ "outputId": "d283dfb2-4f51-4fec-816b-f57b0cb9b71c",
+ "colab": {
+ "base_uri": "https://localhost:8080/";,
+ "height": 170
+ }
+ },
+ "cell_type": "code",
+ "source": [
+ "# Run and print a shell command.\n",
+ "def run(cmd):\n",
+ " print('>> {}'.format(cmd))\n",
+ " !{cmd}\n",
+ " print('')\n",
+ "\n",
+ "def save_to_file(content, file_name):\n",
+ " with open(file_name, 'w') as f:\n",
+ " f.write(content)\n",
+ "\n",
+ "# Install apache-beam.\n",
+ "run('pip install --quiet apache-beam')\n",
+ "\n",
+ "# Copy the input files into the local file system.\n",
+ "run('mkdir -p data')\n",
+ "run('gsutil cp gs://dataflow-samples/shakespeare/kinglear.txt
data/kinglear.txt')\n",
+ "run('gsutil cp
gs://apache-beam-samples/SMSSpamCollection/SMSSpamCollection
data/SMSSpamCollection.csv')"
+ ],
+ "execution_count": 134,
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ ">> pip install --quiet apache-beam\n",
+ "\n",
+ ">> mkdir -p data\n",
+ "\n",
+ ">> gsutil cp gs://dataflow-samples/shakespeare/kinglear.txt
data/kinglear.txt\n",
+ "Copying gs://dataflow-samples/shakespeare/kinglear.txt...\r\n",
+ "/ [1 files][153.6 KiB/153.6 KiB]
\r\n",
+ "Operation completed over 1 objects/153.6 KiB.
\r\n",
+ "\n",
+ ">> gsutil cp
gs://apache-beam-samples/SMSSpamCollection/SMSSpamCollection
data/SMSSpamCollection.csv\n",
+ "Copying
gs://apache-beam-samples/SMSSpamCollection/SMSSpamCollection...\r\n",
+ "/ [1 files][466.7 KiB/466.7 KiB]
\r\n",
+ "Operation completed over 1 objects/466.7 KiB.
\r\n",
+ "\n"
+ ]
+ }
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## Inspect the data\n",
+ "We'll be working with 2 datasets. We'll use `kinglear.txt` for the first
example - word count, and `SMSSpamCollection.csv` for the second and third.\n",
+ "Let's first take a loot at the `kinglear.txt` dataset."
+ ],
+ "metadata": {
+ "collapsed": false
+ }
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 135,
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ ">> head data/kinglear.txt\n",
+ "\tKING LEAR\r\n",
+ "\r\n",
+ "\r\n",
+ "\tDRAMATIS PERSONAE\r\n",
+ "\r\n",
+ "\r\n",
+ "LEAR\tking of Britain (KING LEAR:)\r\n",
+ "\r\n",
+ "KING OF FRANCE:\r\n",
+ "\r\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "run('head data/kinglear.txt')"
+ ],
+ "metadata": {
+ "collapsed": false
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "This is just a `txt` file - it contains lines of text.\n",
+ "Let's take a look at the other dataset."
+ ],
+ "metadata": {
+ "collapsed": false
+ }
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 136,
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ ">> head data/SMSSpamCollection.csv\n",
+ "ham\tGo until jurong point, crazy.. Available only in bugis n great
world la e buffet... Cine there got amore wat...\r\n",
+ "ham\tOk lar... Joking wif u oni...\r\n",
+ "spam\tFree entry in 2 a wkly comp to win FA Cup final tkts 21st May
2005. Text FA to 87121 to receive entry question(std txt rate)T&C's apply
08452810075over18's\r\n",
+ "ham\tU dun say so early hor... U c already then say...\r\n",
+ "ham\tNah I don't think he goes to usf, he lives around here though\r\n",
+ "spam\tFreeMsg Hey there darling it's been 3 week's now and no word
back! I'd like some fun you up for it still? Tb ok! XxX std chgs to send, £1.50
to rcv\r\n",
+ "ham\tEven my brother is not like to speak with me. They treat me like
aids patent.\r\n",
+ "ham\tAs per your request 'Melle Melle (Oru Minnaminunginte Nurungu
Vettam)' has been set as your callertune for all Callers. Press *9 to copy your
friends Callertune\r\n",
+ "spam\tWINNER!! As a valued network customer you have been selected to
receivea £900 prize reward! To claim call 09061701461. Claim code KL341. Valid
12 hours only.\r\n",
+ "spam\tHad your mobile 11 months or more? U R entitled to Update to the
latest colour mobiles with camera for Free! Call The Mobile Update Co FREE on
08002986030\r\n",
+ "\n",
+ ">> wc -l data/SMSSpamCollection.csv\n",
+ "5574 data/SMSSpamCollection.csv\r\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "run('head data/SMSSpamCollection.csv')\n",
+ "run('wc -l data/SMSSpamCollection.csv')"
+ ],
+ "metadata": {
+ "collapsed": false
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "This dataset is a `csv` file with 5,574 rows and 2 columns recording the
following attributes separated by a tab sign:\n",
+ "1. `Column 1`: The label (either `ham` or `spam`)\n",
+ "2. `Column 2`: The SMS as raw text (type `string`)"
+ ],
+ "metadata": {
+ "collapsed": false
+ }
+ },
+ {
+ "cell_type": "markdown",
+ "source": [
+ "## Example 1: word count\n",
Review Comment:
That's a valid point, thanks
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