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<!DOCTYPE html>
<html lang="en"><head>
<script src="slides_files/libs/clipboard/clipboard.min.js"></script>
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<link href="slides_files/libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles"><meta charset="utf-8">
<meta name="generator" content="quarto-1.3.353">
<meta name="author" content="Nic Crane, Jonathan Keane, and Steph Hazlitt">
<title>A Journey through Arrow in R</title>
<meta name="apple-mobile-web-app-capable" content="yes">
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<body class="quarto-light">
<div class="reveal">
<div class="slides">
<section id="title-slide" class="quarto-title-block center">
<h1 class="title">A Journey through Arrow in R</h1>
<p class="subtitle">ROpenSci Community Call - 28th June 2023</p>
<div class="quarto-title-authors">
<div class="quarto-title-author">
<div class="quarto-title-author-name">
Nic Crane, Jonathan Keane, and Steph Hazlitt
</div>
</div>
</div>
</section>
<section>
<section id="a-journey-through-arrow-in-r" class="title-slide slide level1 center">
<h1>A Journey through Arrow in R</h1>
<img data-src="https://github.com/djnavarro/arrow-user2022/blob/main/img/arrow-hex-dark.png?raw=true" class="r-stretch quarto-figure-center"></section>
<section id="arrow" class="slide level2">
<h2>Arrow</h2>
<blockquote>
<p>Apache Arrow is a multi-language toolbox for accelerated data interchange and processing.</p>
</blockquote>
<img data-src="https://github.com/djnavarro/arrow-user2022/blob/main/img/arrow-hex-dark.png?raw=true" class="r-stretch quarto-figure-center"></section>
<section id="what-problems-can-you-solve-with-arrow" class="slide level2">
<h2>What problems can you solve with Arrow?</h2>
<ul>
<li><p>Work with larger-than-memory data and multifile datasets in R without needing to set up a cluster or database</p></li>
<li><p>Pass data between R and Python, or Arrow and DuckDB without needing to copy data</p></li>
<li><p>Do all this while using dplyr syntax and familiar R functions</p></li>
<li><p>…and more!</p></li>
</ul>
</section>
<section id="arrow-libraries" class="slide level2">
<h2>Arrow libraries</h2>
<img data-src="https://github.com/djnavarro/arrow-user2022/blob/main/img/arrow-libraries-structure.png?raw=true" class="r-stretch quarto-figure-center"><p class="caption">Image from “Larger-Than-Memory Data Workflows with Apache Arrow” by Danielle Navarro is licensed under CC BY-ND 4.0</p></section>
<section id="the-arrow-r-package" class="slide level2">
<h2>The arrow R package</h2>
<img data-src="https://github.com/djnavarro/arrow-user2022/blob/main/img/dplyr-backend.png?raw=true" class="r-stretch quarto-figure-center"><p class="caption">Image from “Larger-Than-Memory Data Workflows with Apache Arrow” by Danielle Navarro is licensed under CC BY-ND 4.0</p></section>
<section id="demo-1" class="slide level2">
<h2>Demo 1</h2>
<p>Now over to Jon for a demo!</p>
</section>
<section id="arrow-datasets" class="slide level2">
<h2>Arrow Datasets</h2>
<ul>
<li>Similar to database connections</li>
<li>Can consist of multiple files</li>
<li>Data not pulled into R memory until you call <code>collect()</code></li>
</ul>
<div class="cell">
<div class="cell-output cell-output-stdout">
<pre><code>FileSystemDataset with 1 csv file
mpg: double
cyl: int64
disp: double
hp: int64
drat: double
wt: double
qsec: double
vs: int64
am: int64
gear: int64
carb: int64</code></pre>
</div>
</div>
</section>
<section id="interoperability" class="slide level2">
<h2>Interoperability</h2>
<ul>
<li>zero-copy interoperability</li>
<li>pass data between R and Python</li>
<li>pass data between Arrow and DuckDB</li>
</ul>
</section>
<section id="when-might-we-want-to-use-this" class="slide level2">
<h2>When might we want to use this?</h2>
<ul>
<li>Data from multiple sources (i.e. Parquet file or Arrow Dataset and DuckDB table)</li>
<li>Functionality in one which isn’t implemented in the other</li>
</ul>
</section>
<section id="demo-2" class="slide level2">
<h2>Demo 2</h2>
<p>Now over to Jon for a demo!</p>
</section></section>
<section>
<section id="resources" class="title-slide slide level1 center">
<h1>Resources</h1>
</section>
<section id="docs" class="slide level2">
<h2>Docs</h2>
<img data-src="images/docs.png" class="r-stretch quarto-figure-center"><p class="caption">https://arrow.apache.org/docs/r/</p></section>
<section id="cookbook" class="slide level2">
<h2>Cookbook</h2>
<img data-src="images/cookbook.png" class="r-stretch quarto-figure-center"><p class="caption">https://arrow.apache.org/cookbook/r/</p></section>
<section id="cheatsheet" class="slide level2">
<h2>Cheatsheet</h2>
<!--
The Arrow for R cheatsheet is intended to be an easy-to-scan introduction to the Arrow R package and Arrow data structures, with getting started sections on some of the package’s main functionality. The cheatsheet includes introductory snippets on using Arrow to read and work with larger-than-memory multi-file data sets, sending and receiving data with Flight, reading data from cloud storage without downloading the data first, and more. The Arrow for R cheatsheet also directs users to the full Arrow for R package documentation and articles and the Arrow Cookbook, both full of code examples and recipes to support users build their Arrow-based data workflows. Finally, the cheatsheet debuts one of the first uses of the hot-off-the-presses Arrow hex sticker, recently made available as part of the Apache Arrow visual identity guidance.
-->
<img data-src="https://arrow.apache.org/img/20220427-arrow-r-cheatsheet-thumbnail.png" class="r-stretch quarto-figure-center"><p class="caption">https://github.com/apache/arrow/blob/main/r/cheatsheet/arrow-cheatsheet.pdf</p></section>
<section id="user-2022-tutorial" class="slide level2">
<h2>UseR! 2022 Tutorial</h2>
<!-- Also mention mini taxi dataset -->
<img data-src="images/usertutorial.png" class="r-stretch quarto-figure-center"><p class="caption">https://arrow-user2022.netlify.app/</p></section>
<section id="awesome-arrow" class="slide level2">
<h2>Awesome Arrow</h2>
<img data-src="images/awesomearrow.png" class="r-stretch quarto-figure-center"><p class="caption">https://github.com/thisisnic/awesome-arrow-r</p></section></section>
<section>
<section id="get-involved" class="title-slide slide level1 center">
<h1>Get Involved!</h1>
</section>
<section id="open-an-issue" class="slide level2">
<h2>Open an issue</h2>
<img data-src="images/issues.png" class="r-stretch quarto-figure-center"><p class="caption">https://github.com/apache/arrow/issues/</p></section>
<section id="make-a-pr" class="slide level2">
<h2>Make a PR!</h2>
<ul>
<li>docs</li>
<li>cookbook</li>
<li>code</li>
</ul>
</section></section>
<section id="a-journey-through-arrow-in-r-1" class="title-slide slide level1 center">
<h1>A Journey through Arrow in R</h1>
<img data-src="https://github.com/djnavarro/arrow-user2022/blob/main/img/arrow-hex-dark.png?raw=true" class="r-stretch quarto-figure-center"><div class="footer footer-default">
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// when the presentation is scaled to fit different resolutions. Can be
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margin: 0.1,
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},
},
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return codeEl.innerText;
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clipboard.on('success', function(e) {
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button.classList.add('code-copy-button-checked');
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button.setAttribute("title", "Copied!");
let tooltip;
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button.setAttribute("data-bs-toggle", "tooltip");
button.setAttribute("data-bs-placement", "left");
button.setAttribute("data-bs-title", "Copied!");
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config['offset'] = [0,0];
config['maxWidth'] = 700;
window.tippy(el, config);
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const noterefs = window.document.querySelectorAll('a[role="doc-noteref"]');
for (var i=0; i<noterefs.length; i++) {
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let href = ref.getAttribute('data-footnote-href') || ref.getAttribute('href');
try { href = new URL(href).hash; } catch {}
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