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<!DOCTYPE html>
<html lang="en"><head>
<script src="posit-conf-2023-recap_files/libs/clipboard/clipboard.min.js"></script>
<script src="posit-conf-2023-recap_files/libs/quarto-html/tabby.min.js"></script>
<script src="posit-conf-2023-recap_files/libs/quarto-html/popper.min.js"></script>
<script src="posit-conf-2023-recap_files/libs/quarto-html/tippy.umd.min.js"></script>
<link href="posit-conf-2023-recap_files/libs/quarto-html/tippy.css" rel="stylesheet">
<link href="posit-conf-2023-recap_files/libs/quarto-html/light-border.css" rel="stylesheet">
<link href="posit-conf-2023-recap_files/libs/quarto-html/quarto-html.min.css" rel="stylesheet" data-mode="light">
<link href="posit-conf-2023-recap_files/libs/quarto-html/quarto-syntax-highlighting.css" rel="stylesheet" id="quarto-text-highlighting-styles"><meta charset="utf-8">
<meta name="generator" content="quarto-1.4.376">
<meta name="author" content="Javier Orraca-Deatcu">
<title>posit::conf(2023)</title>
<meta name="apple-mobile-web-app-capable" content="yes">
<meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
<meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=no, minimal-ui">
<link rel="stylesheet" href="posit-conf-2023-recap_files/libs/revealjs/dist/reset.css">
<link rel="stylesheet" href="posit-conf-2023-recap_files/libs/revealjs/dist/reveal.css">
<style>
code{white-space: pre-wrap;}
span.smallcaps{font-variant: small-caps;}
div.columns{display: flex; gap: min(4vw, 1.5em);}
div.column{flex: auto; overflow-x: auto;}
div.hanging-indent{margin-left: 1.5em; text-indent: -1.5em;}
ul.task-list{list-style: none;}
ul.task-list li input[type="checkbox"] {
width: 0.8em;
margin: 0 0.8em 0.2em -1em; /* quarto-specific, see https://github.com/quarto-dev/quarto-cli/issues/4556 */
vertical-align: middle;
}
/* CSS for syntax highlighting */
pre > code.sourceCode { white-space: pre; position: relative; }
pre > code.sourceCode > span { line-height: 1.25; }
pre > code.sourceCode > span:empty { height: 1.2em; }
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code.sourceCode > span { color: inherit; text-decoration: inherit; }
div.sourceCode { margin: 1em 0; }
pre.sourceCode { margin: 0; }
@media screen {
div.sourceCode { overflow: auto; }
}
@media print {
pre > code.sourceCode { white-space: pre-wrap; }
pre > code.sourceCode > span { text-indent: -5em; padding-left: 5em; }
}
pre.numberSource code
{ counter-reset: source-line 0; }
pre.numberSource code > span
{ position: relative; left: -4em; counter-increment: source-line; }
pre.numberSource code > span > a:first-child::before
{ content: counter(source-line);
position: relative; left: -1em; text-align: right; vertical-align: baseline;
border: none; display: inline-block;
-webkit-touch-callout: none; -webkit-user-select: none;
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padding: 0 4px; width: 4em;
color: #aaaaaa;
}
pre.numberSource { margin-left: 3em; border-left: 1px solid #aaaaaa; padding-left: 4px; }
div.sourceCode
{ color: #003b4f; background-color: #f1f3f5; }
@media screen {
pre > code.sourceCode > span > a:first-child::before { text-decoration: underline; }
}
code span { color: #003b4f; } /* Normal */
code span.al { color: #ad0000; } /* Alert */
code span.an { color: #5e5e5e; } /* Annotation */
code span.at { color: #657422; } /* Attribute */
code span.bn { color: #ad0000; } /* BaseN */
code span.bu { } /* BuiltIn */
code span.cf { color: #003b4f; } /* ControlFlow */
code span.ch { color: #20794d; } /* Char */
code span.cn { color: #8f5902; } /* Constant */
code span.co { color: #5e5e5e; } /* Comment */
code span.cv { color: #5e5e5e; font-style: italic; } /* CommentVar */
code span.do { color: #5e5e5e; font-style: italic; } /* Documentation */
code span.dt { color: #ad0000; } /* DataType */
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margin-top: 1em;
margin-bottom: 1em;
border-radius: .25rem;
}
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padding: 0em 0.5em;
border-left: solid #acacac .3rem;
border-right: solid 1px silver;
border-top: solid 1px silver;
border-bottom: solid 1px silver;
display: flex;
}
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border-left: solid #acacac .3rem;
border-right: solid 1px silver;
border-top: solid 1px silver;
border-bottom: solid 1px silver;
}
.callout .callout-body-container {
flex-grow: 1;
}
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font-size: 1rem;
font-weight: 400;
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font-size: 0.9rem;
font-weight: 400;
}
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}
.callout:not(.callout-titled) .callout-body {
display: flex;
}
.callout:not(.no-icon).callout-titled.callout-style-simple .callout-content {
padding-left: 1.6em;
}
.callout.callout-titled .callout-header {
padding-top: 0.2em;
margin-bottom: -0.2em;
}
.callout.callout-titled .callout-title p {
margin-top: 0.5em;
margin-bottom: 0.5em;
}
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margin-top: 0;
}
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margin-top: 0.7em;
}
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border-bottom: none;
font-size: .9rem;
font-weight: 600;
opacity: 75%;
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border-bottom: none;
font-weight: 600;
opacity: 85%;
font-size: 0.9rem;
padding-left: 0.5em;
padding-right: 0.5em;
}
.callout.callout-style-default div.callout-content {
padding-left: 0.5em;
padding-right: 0.5em;
}
.callout.callout-style-simple .callout-icon::before {
height: 1rem;
width: 1rem;
display: inline-block;
content: "";
background-repeat: no-repeat;
background-size: 1rem 1rem;
}
.callout.callout-style-default .callout-icon::before {
height: 0.9rem;
width: 0.9rem;
display: inline-block;
content: "";
background-repeat: no-repeat;
background-size: 0.9rem 0.9rem;
}
.callout-title {
display: flex
}
.callout-icon::before {
margin-top: 1rem;
padding-right: .5rem;
}
.callout.no-icon::before {
display: none !important;
}
.callout.callout-titled .callout-body > .callout-content > :last-child {
padding-bottom: 0.5rem;
margin-bottom: 0;
}
.callout.callout-titled .callout-icon::before {
margin-top: .5rem;
padding-right: .5rem;
}
.callout:not(.callout-titled) .callout-icon::before {
margin-top: 1rem;
padding-right: .5rem;
}
/* Callout Types */
div.callout-note {
border-left-color: #4582ec !important;
}
div.callout-note .callout-icon::before {
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}
div.callout-note.callout-style-default .callout-title {
background-color: #dae6fb
}
div.callout-important {
border-left-color: #d9534f !important;
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</head>
<body class="quarto-light">
<div class="reveal">
<div class="slides">
<section id="title-slide" data-background-color="#76AADB" data-background-position="bottom 50px right 50px" data-background-size="360px" class="quarto-title-block center">
<h1 class="title">posit::conf(<font color="white">2023</font>)</h1>
<div class="quarto-title-authors">
<div class="quarto-title-author">
<div class="quarto-title-author-name">
Javier Orraca-Deatcu
</div>
</div>
</div>
</section>
<section id="posit-conference" class="slide level2">
<h2>Posit Conference</h2>
<p>Posit, formerly RStudio, hosts an <a href="https://posit.co/conference/">annual conference</a> including workshops, lunch-and-learns, and presentations touching on all things data science.</p>
<div class="fragment">
<ul>
<li>2023 conference was hosted in Chicago</li>
<li>Approximately <span class="fragment highlight-teal">1,200</span> in-person attendees</li>
</ul>
</div>
<div class="fragment">
<p>R represented the majority of the presentations but there was more Python content than in prior years</p>
<div class="footer">
<p>Posit | Learn more at <a href="https://posit.co/">https://posit.co/</a></p>
</div>
</div>
</section>
<section class="slide level2">
<div class="r-fit-text">
<p>Conference</p>
</div>
<div class="r-fit-text">
<p>Highlights</p>
</div>
</section>
<section>
<section id="quarto" class="title-slide slide level1 center">
<h1>1. Quarto</h1>
<div class="footer">
<p>Just to clarify… That’s <strong>Quarto</strong>… <strong>Q-U-A-R-T-O</strong>, not #4 in Spanish (or “cuatro”).</p>
</div>
</section>
<section id="quarto-presentations" class="slide level2">
<h2>Quarto Presentations <img data-src="hexes/quarto.svg" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "></h2>
<p>These web slides were built with <a href="https://quarto.org/">Quarto</a> and this section was copied almost entirely from Quarto’s Reveal.js demo documentation</p>
<div class="fragment">
<p>The next few slides cover what you can do with Quarto and <a href="https://revealjs.com">Reveal.js</a> including:</p>
<ul>
<li>Presenting code and LaTeX equations</li>
<li>Rendering code chunk computations in slide output</li>
<li>Fancy transitions, animations, and code windows</li>
</ul>
<div class="footer">
<p>Quarto | Learn more on Quarto’s Reveal.js <a href="https://github.com/quarto-dev/quarto-web/blob/main/docs/presentations/revealjs/demo/index.qmd">demo presentation</a></p>
</div>
</div>
</section>
<section id="pretty-code" class="slide level2" data-auto-animate="true">
<h2 data-id="quarto-animate-title">Pretty Code</h2>
<ul>
<li>Over 20 syntax highlighting themes available</li>
<li>Default theme optimized for accessibility</li>
</ul>
<div class="sourceCode" id="cb1"><pre class="sourceCode numberSource r number-lines code-with-copy" data-id="quarto-animate-code"><code class="sourceCode r hljs"><span id="cb1-1" class="hljs-ln-code"><a href="#cb1-1"></a><span class="co"># Define a server for the Shiny app</span></span>
<span id="cb1-2" class="hljs-ln-code"><a href="#cb1-2"></a><span class="cf">function</span>(input, output) {</span>
<span id="cb1-3" class="hljs-ln-code"><a href="#cb1-3"></a> </span>
<span id="cb1-4" class="hljs-ln-code"><a href="#cb1-4"></a> <span class="co"># Fill in the spot we created for a plot</span></span>
<span id="cb1-5" class="hljs-ln-code"><a href="#cb1-5"></a> output<span class="sc">$</span>phonePlot <span class="ot"><-</span> <span class="fu">renderPlot</span>({</span>
<span id="cb1-6" class="hljs-ln-code"><a href="#cb1-6"></a> <span class="co"># Render a barplot</span></span>
<span id="cb1-7" class="hljs-ln-code"><a href="#cb1-7"></a> })</span>
<span id="cb1-8" class="hljs-ln-code"><a href="#cb1-8"></a>}</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="footer">
<p>Quarto | <a href="https://quarto.org/docs/output-formats/html-code.html#highlighting">Syntax Highlighting</a></p>
</div>
</section>
<section id="code-animations" class="slide level2" data-auto-animate="true">
<h2 data-id="quarto-animate-title">Code Animations</h2>
<ul>
<li>Over 20 syntax highlighting themes available</li>
<li>Default theme optimized for accessibility</li>
</ul>
<div class="sourceCode" id="cb2"><pre class="sourceCode numberSource r number-lines code-with-copy" data-id="quarto-animate-code"><code class="sourceCode r hljs"><span id="cb2-1" class="hljs-ln-code"><a href="#cb2-1"></a><span class="co"># Define a server for the Shiny app</span></span>
<span id="cb2-2" class="hljs-ln-code"><a href="#cb2-2"></a><span class="cf">function</span>(input, output) {</span>
<span id="cb2-3" class="hljs-ln-code"><a href="#cb2-3"></a> </span>
<span id="cb2-4" class="hljs-ln-code"><a href="#cb2-4"></a> <span class="co"># Fill in the spot we created for a plot</span></span>
<span id="cb2-5" class="hljs-ln-code"><a href="#cb2-5"></a> output<span class="sc">$</span>phonePlot <span class="ot"><-</span> <span class="fu">renderPlot</span>({</span>
<span id="cb2-6" class="hljs-ln-code"><a href="#cb2-6"></a> <span class="co"># Render a barplot</span></span>
<span id="cb2-7" class="hljs-ln-code"><a href="#cb2-7"></a> <span class="fu">barplot</span>(WorldPhones[,input<span class="sc">$</span>region]<span class="sc">*</span><span class="dv">1000</span>, </span>
<span id="cb2-8" class="hljs-ln-code"><a href="#cb2-8"></a> <span class="at">main=</span>input<span class="sc">$</span>region,</span>
<span id="cb2-9" class="hljs-ln-code"><a href="#cb2-9"></a> <span class="at">ylab=</span><span class="st">"Number of Telephones"</span>,</span>
<span id="cb2-10" class="hljs-ln-code"><a href="#cb2-10"></a> <span class="at">xlab=</span><span class="st">"Year"</span>)</span>
<span id="cb2-11" class="hljs-ln-code"><a href="#cb2-11"></a> })</span>
<span id="cb2-12" class="hljs-ln-code"><a href="#cb2-12"></a>}</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="footer">
<p>Quarto | <a href="https://quarto.org/docs/presentations/revealjs/advanced.html#code-animations">Code Animations</a></p>
</div>
</section>
<section id="line-highlighting" class="slide level2">
<h2>Line Highlighting</h2>
<ul>
<li>Highlight specific lines for emphasis</li>
<li>Incrementally highlight additional lines</li>
</ul>
<div class="sourceCode" id="cb3" data-code-line-numbers="4-5|7|10"><pre class="sourceCode numberSource python number-lines code-with-copy"><code class="sourceCode python"><span id="cb3-1"><a href="#cb3-1"></a><span class="im">import</span> numpy <span class="im">as</span> np</span>
<span id="cb3-2"><a href="#cb3-2"></a><span class="im">import</span> matplotlib.pyplot <span class="im">as</span> plt</span>
<span id="cb3-3"><a href="#cb3-3"></a></span>
<span id="cb3-4"><a href="#cb3-4"></a>r <span class="op">=</span> np.arange(<span class="dv">0</span>, <span class="dv">2</span>, <span class="fl">0.01</span>)</span>
<span id="cb3-5"><a href="#cb3-5"></a>theta <span class="op">=</span> <span class="dv">2</span> <span class="op">*</span> np.pi <span class="op">*</span> r</span>
<span id="cb3-6"><a href="#cb3-6"></a>fig, ax <span class="op">=</span> plt.subplots(subplot_kw<span class="op">=</span>{<span class="st">'projection'</span>: <span class="st">'polar'</span>})</span>
<span id="cb3-7"><a href="#cb3-7"></a>ax.plot(theta, r)</span>
<span id="cb3-8"><a href="#cb3-8"></a>ax.set_rticks([<span class="fl">0.5</span>, <span class="dv">1</span>, <span class="fl">1.5</span>, <span class="dv">2</span>])</span>
<span id="cb3-9"><a href="#cb3-9"></a>ax.grid(<span class="va">True</span>)</span>
<span id="cb3-10"><a href="#cb3-10"></a>plt.show()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="footer">
<p>Quarto | <a href="https://quarto.org/docs/presentations/revealjs/#line-highlighting">Line Highlighting</a></p>
</div>
</section>
<section id="code-windows" class="slide level2">
<h2>Code Windows</h2>
<div class="columns">
<div class="column" style="width:50%;">
<div class="codewindow quarto">
<p>index.qmd</p>
<div class="sourceCode" id="cb4"><pre class="sourceCode numberSource markdown number-lines code-with-copy"><code class="sourceCode markdown"><span id="cb4-1"><a href="#cb4-1"></a><span class="co">---</span></span>
<span id="cb4-2"><a href="#cb4-2"></a><span class="an">title:</span><span class="co"> "HTML document"</span></span>
<span id="cb4-3"><a href="#cb4-3"></a><span class="an">format:</span><span class="co"> html</span></span>
<span id="cb4-4"><a href="#cb4-4"></a><span class="co">---</span></span>
<span id="cb4-5"><a href="#cb4-5"></a></span>
<span id="cb4-6"><a href="#cb4-6"></a><span class="fu">## Quarto</span></span>
<span id="cb4-7"><a href="#cb4-7"></a></span>
<span id="cb4-8"><a href="#cb4-8"></a>Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see <span class="ot"><https://quarto.org></span>.</span>
<span id="cb4-9"><a href="#cb4-9"></a></span>
<span id="cb4-10"><a href="#cb4-10"></a><span class="fu">## Running Code</span></span>
<span id="cb4-11"><a href="#cb4-11"></a></span>
<span id="cb4-12"><a href="#cb4-12"></a>When you click the **Render** button a document will be generated that includes both content and the output of embedded code. You can embed code like this:</span>
<span id="cb4-13"><a href="#cb4-13"></a></span>
<span id="cb4-14"><a href="#cb4-14"></a>::: {.cell}</span>
<span id="cb4-15"><a href="#cb4-15"></a></span>
<span id="cb4-16"><a href="#cb4-16"></a>:::</span>
<span id="cb4-17"><a href="#cb4-17"></a></span>
<span id="cb4-18"><a href="#cb4-18"></a>You can add options to executable code like this</span>
<span id="cb4-19"><a href="#cb4-19"></a></span>
<span id="cb4-20"><a href="#cb4-20"></a>::: {.cell}</span>
<span id="cb4-21"><a href="#cb4-21"></a></span>
<span id="cb4-22"><a href="#cb4-22"></a>:::</span>
<span id="cb4-23"><a href="#cb4-23"></a></span>
<span id="cb4-24"><a href="#cb4-24"></a>The <span class="in">`echo: false`</span> option disables the printing of code (only output is displayed).</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</div><div class="column" style="width:50%;">
<div class="codewindow html">
<p>index.html <iframe class="slide-deck" src="./codewindow_files/example.html" style="width: 100%; height: 484.47px;"></iframe></p>
</div>
</div>
</div>
<div class="footer">
<p>Quarto | <a href="https://github.com/EmilHvitfeldt/quarto-revealjs-codewindow">codewindow</a> Reveal.js extension & example code above from Emil Hvitfeldt’s <a href="https://github.com/EmilHvitfeldt/talk-quarto-theming-positconf">Quarto Theming Talk at Posit Conf</a></p>
</div>
</section>
<section id="counters" class="slide level2">
<h2>Counters</h2>
<p>Great for training purposes or when you’ve got a time limit</p>
<div class="columns">
<div class="column" style="width:50%;">
<div class="cell">
<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1"></a><span class="co"># YOUR TURN! Complete the below </span></span>
<span id="cb5-2"><a href="#cb5-2"></a><span class="co"># dplyr pipeline to group by and</span></span>
<span id="cb5-3"><a href="#cb5-3"></a><span class="co"># summarize the data set</span></span>
<span id="cb5-4"><a href="#cb5-4"></a></span>
<span id="cb5-5"><a href="#cb5-5"></a><span class="fu">library</span>(dplyr)</span>
<span id="cb5-6"><a href="#cb5-6"></a><span class="fu">data</span>(<span class="at">package =</span> <span class="st">"ggplot2"</span>, <span class="st">"diamonds"</span>)</span>
<span id="cb5-7"><a href="#cb5-7"></a></span>
<span id="cb5-8"><a href="#cb5-8"></a>diamonds <span class="sc">|></span> </span>
<span id="cb5-9"><a href="#cb5-9"></a> <span class="er"><</span>your code here<span class="sc">></span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</div><div class="column" style="width:50%;">
<div class="cell">
<details>
<summary>See {countdown} code</summary>
<div class="sourceCode cell-code" id="cb6"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1"></a><span class="fu">library</span>(countdown)</span>
<span id="cb6-2"><a href="#cb6-2"></a><span class="fu">countdown</span>(</span>
<span id="cb6-3"><a href="#cb6-3"></a> <span class="at">minutes =</span> <span class="dv">0</span>, </span>
<span id="cb6-4"><a href="#cb6-4"></a> <span class="at">seconds =</span> <span class="dv">10</span>,</span>
<span id="cb6-5"><a href="#cb6-5"></a> <span class="at">play_sound =</span> <span class="cn">TRUE</span>,</span>
<span id="cb6-6"><a href="#cb6-6"></a> <span class="at">color_border =</span> <span class="st">"#1A4064"</span>,</span>
<span id="cb6-7"><a href="#cb6-7"></a> <span class="at">color_text =</span> <span class="st">"#76AADB"</span>,</span>
<span id="cb6-8"><a href="#cb6-8"></a> <span class="at">font_size =</span> <span class="st">"3em"</span></span>
<span id="cb6-9"><a href="#cb6-9"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
</div>
</div>
<div class="cell">
<div class="cell-output-display">
<div class="countdown" id="timer_994eb78e" data-update-every="1" data-play-sound="true" tabindex="0" style="right:25%;bottom:5%;font-size:3em;">
<div class="countdown-controls"><button class="countdown-bump-down">−</button><button class="countdown-bump-up">+</button></div>
<code class="countdown-time"><span class="countdown-digits minutes">00</span><span class="countdown-digits colon">:</span><span class="countdown-digits seconds">10</span></code>
</div>
</div>
</div>
<div class="footer">
<p>Quarto | Learn more about the <a href="https://pkg.garrickadenbuie.com/countdown/">countdown</a> package</p>
</div>
</section></section>
<section>
<section id="arrow" class="title-slide slide level1 center">
<h1>2. Arrow</h1>
<div class="footer">
<p>Arrow | Learn more at <a href="https://arrow.apache.org/">https://arrow.apache.org/</a></p>
</div>
</section>
<section id="larger-than-memory-data" class="slide level2">
<h2>Larger-than-Memory Data</h2>
<p><br> <img data-src="images/apache_arrow.png"></p>
<div class="footer">
<p>Arrow | Learn more at <a href="https://arrow.apache.org/">https://arrow.apache.org/</a></p>
</div>
</section>
<section id="arrow-and-parquet" class="slide level2">
<h2>Arrow and Parquet <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "></h2>
<ul>
<li>Columnar memory format for flat data</li>
<li>Ultra-fast read times from Parquet files</li>
<li>Easily convert data.frames and tibbles to Arrow tables in-line</li>
<li>Plays well with Pandas (Python) and dplyr (R)</li>
<li>Arrow will soon be able to process nested list data</li>
</ul>
<aside class="notes">
<p>Libraries are available for C, C++, C#, Go, Java, JavaScript, Julia, MATLAB, Python, R, Ruby, and Rust</p>
<p>Arrow is organized for efficient analytic operations on modern hardware like CPUs and GPUs.</p>
<p>The Arrow memory format also supports zero-copy reads for lightning-fast data access without serialization overhead</p>
<style type="text/css">
span.MJX_Assistive_MathML {
position:absolute!important;
clip: rect(1px, 1px, 1px, 1px);
padding: 1px 0 0 0!important;
border: 0!important;
height: 1px!important;
width: 1px!important;
overflow: hidden!important;
display:block!important;
}</style></aside>
<div class="footer">
<p>Arrow | Learn more at <a href="https://arrow.apache.org/">https://arrow.apache.org/</a></p>
</div>
</section>
<section id="how-fast-is-fast" class="slide level2">
<h2>How fast is fast? <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "></h2>
<div>
<ul>
<li class="fragment">My personal laptop has 24 GB RAM</li>
<li class="fragment">To test Arrow’s capabilities, I read a <span class="fragment highlight-teal">40 GB dataset</span> with over <span class="fragment highlight-teal">1.1 billion rows</span> and 24 columns</li>
<li class="fragment">The <code>.parquet</code> dataset was partitioned by Year and Month (120 files)</li>
<li class="fragment">Important to note that my laptop would not be able to load this object entirely into memory as a data.frame or tibble given my laptop’s limited RAM</li>
</ul>
</div>
<div class="footer">
<p>Arrow | Learn more at <a href="https://arrow.apache.org/">https://arrow.apache.org/</a></p>
</div>
</section>
<section id="benchmarking-read-times" class="slide level2">
<h2>Benchmarking Read Times <img data-src="hexes/ggplot2.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "> <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 64px; width: 64px; height: 74.24px; "></h2>
<div class="codewindow r">
<p>benchmark_arrow_read.R</p>
<div class="sourceCode" id="cb7"><pre class="sourceCode numberSource markdown number-lines code-with-copy"><code class="sourceCode markdown"><span id="cb7-1"><a href="#cb7-1"></a><span class="fu"># 0. Load Libraries to Download & Benchmark Data</span></span>
<span id="cb7-2"><a href="#cb7-2"></a>library(here)</span>
<span id="cb7-3"><a href="#cb7-3"></a>library(arrow)</span>
<span id="cb7-4"><a href="#cb7-4"></a>library(dplyr)</span>
<span id="cb7-5"><a href="#cb7-5"></a>library(ggplot2)</span>
<span id="cb7-6"><a href="#cb7-6"></a>library(bench)</span>
<span id="cb7-7"><a href="#cb7-7"></a></span>
<span id="cb7-8"><a href="#cb7-8"></a><span class="fu"># 1. NYC Taxi Data download (40 GB)</span></span>
<span id="cb7-9"><a href="#cb7-9"></a>data_path <- here::here("data/nyc-taxi")</span>
<span id="cb7-10"><a href="#cb7-10"></a></span>
<span id="cb7-11"><a href="#cb7-11"></a>open_dataset("s3://voltrondata-labs-datasets/nyc-taxi") |></span>
<span id="cb7-12"><a href="#cb7-12"></a> filter(year %in% 2012:2021) |> </span>
<span id="cb7-13"><a href="#cb7-13"></a> write_dataset(data_path, partitioning = c("year", "month"))</span>
<span id="cb7-14"><a href="#cb7-14"></a></span>
<span id="cb7-15"><a href="#cb7-15"></a><span class="fu"># 2. Benchmark Read Times</span></span>
<span id="cb7-16"><a href="#cb7-16"></a>bnch <- bench::mark(</span>
<span id="cb7-17"><a href="#cb7-17"></a> min_iterations = 1000,</span>
<span id="cb7-18"><a href="#cb7-18"></a> arrow = open_dataset(here::here("data/nyc-taxi"))</span>
<span id="cb7-19"><a href="#cb7-19"></a>)</span>
<span id="cb7-20"><a href="#cb7-20"></a></span>
<span id="cb7-21"><a href="#cb7-21"></a>autoplot(bnch)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<div class="footer">
<p>Arrow | Learn more at <a href="https://arrow.apache.org/">https://arrow.apache.org/</a></p>
</div>
</section>
<section id="benchmarking-read-times-1" class="slide level2">
<h2>Benchmarking Read Times <img data-src="hexes/ggplot2.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "> <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 64px; width: 64px; height: 74.24px; "></h2>
<ul>
<li>Results show read times from a 40GB parquet, 1.1 billion row dataset (benchmarked over 1,000 iterations)</li>
</ul>
<div id="fig-539a35d47e664c97a50115a146a7f1bd-1" class="quarto-figure quarto-figure-center" width="55%">
<figure class="quarto-float quarto-float-fig">
<div>
<img data-src="images/arrow_read.png" id="fig-539a35d47e664c97a50115a146a7f1bd-1" style="width:55.0%">
</div>
</figure>
</div>
<div class="footer">
<p>Arrow | Learn more at <a href="https://arrow.apache.org/">https://arrow.apache.org/</a></p>
</div>
</section>
<section id="benchmarking-dplyr" class="slide level2">
<h2>Benchmarking dplyr <img data-src="hexes/ggplot2.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "> <img data-src="hexes/dplyr.png" class="absolute" style="top: -20px; right: 64px; width: 64px; height: 74.24px; "> <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 128px; width: 64px; height: 74.24px; "></h2>
<div class="codewindow r">
<p>benchmark_arrow_dplyr.R</p>
<div class="sourceCode" id="cb8"><pre class="sourceCode numberSource markdown number-lines code-with-copy"><code class="sourceCode markdown"><span id="cb8-1"><a href="#cb8-1"></a><span class="fu"># 1. Open Arrow connection to dataset (40 GB)</span></span>
<span id="cb8-2"><a href="#cb8-2"></a>nyc_taxi <- open_dataset(here::here("data/nyc-taxi"))</span>
<span id="cb8-3"><a href="#cb8-3"></a></span>
<span id="cb8-4"><a href="#cb8-4"></a><span class="fu"># 2. Benchmark dplyr pipeline</span></span>
<span id="cb8-5"><a href="#cb8-5"></a>bnch <- bench::mark(</span>
<span id="cb8-6"><a href="#cb8-6"></a> min_iterations = 10,</span>
<span id="cb8-7"><a href="#cb8-7"></a> arrow = nyc_taxi |> </span>
<span id="cb8-8"><a href="#cb8-8"></a> dplyr::group_by(year) |> </span>
<span id="cb8-9"><a href="#cb8-9"></a> dplyr::summarise(all_trips = n(),</span>
<span id="cb8-10"><a href="#cb8-10"></a> shared_trips = sum(passenger_count > 1, na.rm = T)) |></span>
<span id="cb8-11"><a href="#cb8-11"></a> dplyr::mutate(pct_shared = shared_trips / all_trips * 100) |> </span>
<span id="cb8-12"><a href="#cb8-12"></a> dplyr::collect()</span>
<span id="cb8-13"><a href="#cb8-13"></a>)</span>
<span id="cb8-14"><a href="#cb8-14"></a></span>
<span id="cb8-15"><a href="#cb8-15"></a>autoplot(bnch)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<div class="footer">
<p>Arrow | <a href="https://r4ds.hadley.nz/arrow.html">Arrow + dplyr compatibility</a></p>
</div>
</section>
<section id="benchmarking-dplyr-1" class="slide level2">
<h2>Benchmarking dplyr <img data-src="hexes/ggplot2.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "> <img data-src="hexes/dplyr.png" class="absolute" style="top: -20px; right: 64px; width: 64px; height: 74.24px; "> <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 128px; width: 64px; height: 74.24px; "></h2>
<ul>
<li>Arrow + dplyr summarized 1.1 billion rows in less than 5s (benchmarked over 10 iterations) to a 10 x 4 tibble</li>
</ul>
<div id="fig-539a35d47e664c97a50115a146a7f1bd-2" class="quarto-figure quarto-figure-center" width="55%">
<figure class="quarto-float quarto-float-fig">
<div>
<img data-src="images/arrow_group_by.png" id="fig-539a35d47e664c97a50115a146a7f1bd-2" style="width:55.0%">
</div>
</figure>
</div>
<div class="footer">
<p>Arrow | <a href="https://r4ds.hadley.nz/arrow.html">Arrow + dplyr compatibility</a></p>
</div>
</section>
<section id="tidyverse-compatibility" class="slide level2">
<h2>Tidyverse Compatibility <img data-src="hexes/tidyverse.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "> <img data-src="hexes/stringr.png" class="absolute" style="top: -20px; right: 64px; width: 64px; height: 74.24px; "> <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 128px; width: 64px; height: 74.24px; "></h2>
<ul>
<li>Many functions from the tidyverse collections of packages have 1:1 compatibility with Arrow tables</li>
<li>However, sometimes you’ll encounter a breaking point</li>
<li>Take this <code>stringr::str_replace_na()</code> example:</li>
</ul>
<div class="cell">
<div class="sourceCode cell-code" id="cb9" data-code-line-numbers="1-4|3-4"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1"></a>nyc_taxi <span class="sc">|></span> </span>
<span id="cb9-2"><a href="#cb9-2"></a> <span class="fu">mutate</span>(<span class="at">vendor_name =</span> <span class="fu">str_replace_na</span>(vendor_name, <span class="st">"No vendor"</span>))</span>
<span id="cb9-3"><a href="#cb9-3"></a><span class="co">#> Error: Expression str_replace_na(vendor_name, "No vendor") </span></span>
<span id="cb9-4"><a href="#cb9-4"></a><span class="co">#> not supported in Arrow</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<div class="fragment">
<ul>
<li>This <code>stringr</code> function is not supported by Arrow</li>
</ul>
<div class="footer">
<p>Arrow | <a href="https://r4ds.hadley.nz/arrow.html">Arrow + dplyr compatibility</a></p>
</div>
</div>
</section>
<section class="slide level2">
<img data-src="images/crying_cat.gif" id="fig-539a35d47e664c97a50115a146a7f1bd-3" class="r-stretch quarto-figure-center"></section>
<section class="slide level2">
<div class="r-fit-text">
<p>but wait!</p>
</div>
<div class="r-fit-text">
<p>problem solved</p>
</div>
</section>
<section id="user-defined-functions" class="slide level2">
<h2>User Defined Functions <img data-src="hexes/tidyverse.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "> <img data-src="hexes/stringr.png" class="absolute" style="top: -20px; right: 64px; width: 64px; height: 74.24px; "> <img data-src="hexes/dplyr.png" class="absolute" style="top: -20px; right: 128px; width: 64px; height: 74.24px; "> <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 192px; width: 64px; height: 74.24px; "></h2>
<ul>
<li>Lucky for us, Arrow allows us to create and register <em><strong>User Defined Functions (“UDFs”)</strong></em> to the Arrow engine</li>
<li>Almost any function can be made compatible with Arrow by registering custom UDFs</li>
<li>Let’s learn how to register <code>str_replace_na()</code> with the Arrow kernel</li>
</ul>
<div class="footer">
<p>Arrow | Learn more about registering Arrow <a href="https://arrow.apache.org/docs/r/reference/register_scalar_function.html">User Defined Functions (“UDFs”)</a></p>
</div>
</section>
<section id="registering-udfs" class="slide level2">
<h2>Registering UDFs <img data-src="hexes/tidyverse.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "> <img data-src="hexes/stringr.png" class="absolute" style="top: -20px; right: 64px; width: 64px; height: 74.24px; "> <img data-src="hexes/dplyr.png" class="absolute" style="top: -20px; right: 128px; width: 64px; height: 74.24px; "> <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 192px; width: 64px; height: 74.24px; "></h2>
<ul>
<li>First, run <code>arrow::schema()</code> on your Arrow table to review the field name / data type pairs</li>
<li>Since I want to mutate the <code>vendor_name</code> field, I know I’ll be working with an Arrow <code>string()</code> data type</li>
</ul>
<div class="cell">
<div class="sourceCode cell-code" id="cb10" data-code-line-numbers="1-10|3"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1"></a>arrow<span class="sc">::</span><span class="fu">schema</span>(nyc_taxi)</span>
<span id="cb10-2"><a href="#cb10-2"></a><span class="co">#> Schema</span></span>
<span id="cb10-3"><a href="#cb10-3"></a><span class="co">#> vendor_name: string</span></span>
<span id="cb10-4"><a href="#cb10-4"></a><span class="co">#> pickup_datetime: timestamp[ms]</span></span>
<span id="cb10-5"><a href="#cb10-5"></a><span class="co">#> dropoff_datetime: timestamp[ms]</span></span>
<span id="cb10-6"><a href="#cb10-6"></a><span class="co">#> passenger_count: int64</span></span>
<span id="cb10-7"><a href="#cb10-7"></a><span class="co">#> trip_distance: double</span></span>
<span id="cb10-8"><a href="#cb10-8"></a><span class="co">#> pickup_longitude: double</span></span>
<span id="cb10-9"><a href="#cb10-9"></a><span class="co">#> pickup_latitude: double</span></span>
<span id="cb10-10"><a href="#cb10-10"></a><span class="co">#> ...</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<div class="footer">
<p>Arrow | Learn more about registering Arrow <a href="https://arrow.apache.org/docs/r/reference/register_scalar_function.html">User Defined Functions (“UDFs”)</a></p>
</div>
</section>
<section id="registering-udfs-1" class="slide level2">
<h2>Registering UDFs <img data-src="hexes/tidyverse.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "> <img data-src="hexes/stringr.png" class="absolute" style="top: -20px; right: 64px; width: 64px; height: 74.24px; "> <img data-src="hexes/dplyr.png" class="absolute" style="top: -20px; right: 128px; width: 64px; height: 74.24px; "> <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 192px; width: 64px; height: 74.24px; "></h2>
<ul>
<li>Next, use <code>register_scalar_function()</code></li>
<li>Name your UDF “replace_arrow_nas” and remember to set <code>auto_convert = TRUE</code></li>
</ul>
<div class="cell">
<div class="sourceCode cell-code" id="cb11" data-code-line-numbers="1-13|3-4|3-4,12"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1"></a>arrow<span class="sc">::</span><span class="fu">register_scalar_function</span>(</span>
<span id="cb11-2"><a href="#cb11-2"></a> <span class="at">name =</span> <span class="st">"replace_arrow_nas"</span>,</span>
<span id="cb11-3"><a href="#cb11-3"></a> <span class="co"># Note: The first argument must always be context</span></span>
<span id="cb11-4"><a href="#cb11-4"></a> <span class="cf">function</span>(context, x, replacement) {</span>
<span id="cb11-5"><a href="#cb11-5"></a> stringr<span class="sc">::</span><span class="fu">str_replace_na</span>(x, replacement)</span>
<span id="cb11-6"><a href="#cb11-6"></a> },</span>
<span id="cb11-7"><a href="#cb11-7"></a> <span class="at">in_type =</span> <span class="fu">schema</span>(</span>
<span id="cb11-8"><a href="#cb11-8"></a> <span class="at">x =</span> <span class="fu">string</span>(),</span>
<span id="cb11-9"><a href="#cb11-9"></a> <span class="at">replacement =</span> <span class="fu">string</span>()</span>
<span id="cb11-10"><a href="#cb11-10"></a> ),</span>
<span id="cb11-11"><a href="#cb11-11"></a> <span class="at">out_type =</span> <span class="fu">string</span>(),</span>
<span id="cb11-12"><a href="#cb11-12"></a> <span class="at">auto_convert =</span> <span class="cn">TRUE</span></span>
<span id="cb11-13"><a href="#cb11-13"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
<aside class="notes">
<p>Unless you’re developing a package, <code>auto_convert</code> should be set to <code>TRUE</code></p>
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<p>Arrow | Learn more about registering Arrow <a href="https://arrow.apache.org/docs/r/reference/register_scalar_function.html">User Defined Functions (“UDFs”)</a></p>
</div>
</section>
<section id="registering-udfs-2" class="slide level2">
<h2>Registering UDFs <img data-src="hexes/tidyverse.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "> <img data-src="hexes/stringr.png" class="absolute" style="top: -20px; right: 64px; width: 64px; height: 74.24px; "> <img data-src="hexes/dplyr.png" class="absolute" style="top: -20px; right: 128px; width: 64px; height: 74.24px; "> <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 192px; width: 64px; height: 74.24px; "></h2>
<ul>
<li>Try your new registered function</li>
</ul>
<div class="cell">
<div class="sourceCode cell-code" id="cb12"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1"></a>nyc_taxi <span class="sc">|></span> </span>
<span id="cb12-2"><a href="#cb12-2"></a> <span class="fu">mutate</span>(<span class="at">vendor_name =</span> <span class="fu">replace_arrow_nas</span>(vendor_name, <span class="st">"No vendor"</span>)) <span class="sc">|></span> </span>
<span id="cb12-3"><a href="#cb12-3"></a> <span class="fu">distinct</span>(vendor_name) <span class="sc">|></span> </span>
<span id="cb12-4"><a href="#cb12-4"></a> <span class="fu">arrange</span>(vendor_name) <span class="sc">|></span> </span>
<span id="cb12-5"><a href="#cb12-5"></a> <span class="fu">collect</span>()</span>
<span id="cb12-6"><a href="#cb12-6"></a><span class="co">#> # A tibble: 3 × 1</span></span>
<span id="cb12-7"><a href="#cb12-7"></a><span class="co">#> vendor_name</span></span>
<span id="cb12-8"><a href="#cb12-8"></a><span class="co">#> <chr> </span></span>
<span id="cb12-9"><a href="#cb12-9"></a><span class="co">#> 1 CMT</span></span>
<span id="cb12-10"><a href="#cb12-10"></a><span class="co">#> 2 No vendor</span></span>
<span id="cb12-11"><a href="#cb12-11"></a><span class="co">#> 3 VTS</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<div class="footer">
<p>Arrow | Learn more about registering Arrow <a href="https://arrow.apache.org/docs/r/reference/register_scalar_function.html">User Defined Functions (“UDFs”)</a></p>
</div>
</section>
<section class="slide level2">
<img data-src="images/pokemon.gif" id="fig-539a35d47e664c97a50115a146a7f1bd-4" class="r-stretch quarto-figure-center"><div class="footer">
<p>Eevee can’t believe it… “Wooooooooooow, Javi!”</p>
</div>
</section>
<section id="whats-next-for-arrow" class="slide level2">
<h2>What’s next for Arrow? <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "></h2>
<p><strong><em>ADBC: Arrow Database Connectivity</em></strong></p>
<ul>
<li>Competitor to JDBC & ODBC allowing applications to code to this API standard but fetching results in an Arrow format</li>
</ul>
<div class="footer">
<p>ADBC (Arrow Database Connectivity) | Learn more at <a href="https://arrow.apache.org/docs/format/ADBC.html">https://arrow.apache.org/docs/format/ADBC.html</a></p>
</div>
</section>
<section id="whats-next-for-arrow-1" class="slide level2">
<h2>What’s next for Arrow? <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "></h2>
<p><strong><em>ADBC: Arrow Database Connectivity</em></strong></p>
<div id="fig-539a35d47e664c97a50115a146a7f1bd-5" class="quarto-figure quarto-figure-center" width="50%">
<figure class="quarto-float quarto-float-fig">
<div>
<img data-src="images/ADBCQuadrants.svg" id="fig-539a35d47e664c97a50115a146a7f1bd-5" style="width:50.0%">
</div>
</figure>
</div>
<div class="footer">
<p>ADBC (Arrow Database Connectivity) | Learn more at <a href="https://arrow.apache.org/docs/format/ADBC.html">https://arrow.apache.org/docs/format/ADBC.html</a></p>
</div>
</section>
<section id="whats-next-for-arrow-2" class="slide level2">
<h2>What’s next for Arrow? <img data-src="hexes/arrow.png" class="absolute" style="top: -20px; right: 0px; width: 64px; height: 74.24px; "></h2>
<p><strong><em>Arrow Flight SQL</em></strong></p>
<ul>
<li>A protocol for interacting with SQL databases using the Arrow in-memory format and the <a href="https://arrow.apache.org/docs/format/Flight.html">Flight RPC</a> framework</li>
<li>Its natural mode is to stream sequences of Arrow “record batches” to reduce or remove the serialization cost associated with data transport</li>
<li>The design goal for Flight is to create a new protocol for data services that uses the Arrow columnar format as both the over-the-wire data representation as well as the public API presented to developers</li>
</ul>
<div class="footer">
<p>Arrow Flight SQL | Learn more at <a href="https://arrow.apache.org/docs/format/FlightSql.html">https://arrow.apache.org/docs/format/FlightSql.html</a></p>
</div>
</section></section>
<section>
<section id="duckdb-duckplyr" class="title-slide slide level1 center">
<h1>3. DuckDB + duckplyr</h1>
<div class="footer">
<p>duckplyr by DuckDB Labs | Learn more at <a href="https://duckdblabs.com/">https://duckdblabs.com/</a></p>
</div>
</section>
<section id="duckdb" class="slide level2">
<h2>DuckDB <img data-src="hexes/duckdb.png" class="absolute" style="top: -20px; right: 0px; height: 74.24px; "></h2>
<ul>
<li><a href="https://duckdblabs.com/">DuckDB Labs</a> created an in-line database management system, like a SQLite database engine, but optimized for distributed compute and optimized for larger-than-memory analysis</li>
<li>The <code>duckdb</code> package for Python and offers a state-of-the-art optimizer that pushes down filters and projections directly into Arrow scans</li>
<li>As a result, only relevant columns and partitions will be read thus significantly accelerates query execution</li>
</ul>
<div class="footer">
<p>DuckDB Labs | Learn how <a href="https://duckdb.org/2021/12/03/duck-arrow.html">DuckDB quacks Arrow</a></p>
</div>
</section>
<section id="duckdb-setup" class="slide level2">
<h2>DuckDB setup <img data-src="hexes/duckdb.png" class="absolute" style="top: -20px; right: 0px; height: 74.24px; "></h2>
<p><br><br></p>
<div class="columns">
<div class="column" style="width:50%;">
<div class="cell">
<div class="sourceCode cell-code" id="cb13"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1"></a><span class="co"># R Install</span></span>
<span id="cb13-2"><a href="#cb13-2"></a><span class="fu">install.packages</span>(<span class="st">"duckdb"</span>)</span>
<span id="cb13-3"><a href="#cb13-3"></a><span class="fu">install.packages</span>(<span class="st">"arrow"</span>)</span>
<span id="cb13-4"><a href="#cb13-4"></a></span>
<span id="cb13-5"><a href="#cb13-5"></a><span class="co"># For later use by Python and R:</span></span>
<span id="cb13-6"><a href="#cb13-6"></a>arrow<span class="sc">::</span><span class="fu">copy_files</span>(</span>
<span id="cb13-7"><a href="#cb13-7"></a> <span class="at">from =</span> <span class="st">"s3://ursa-labs-taxi-data"</span>, </span>
<span id="cb13-8"><a href="#cb13-8"></a> <span class="at">to =</span> here<span class="sc">::</span><span class="fu">here</span>(<span class="st">"nyc-taxi"</span>)</span>
<span id="cb13-9"><a href="#cb13-9"></a>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</div><div class="column" style="width:50%;">
<div class="cell">
<div class="sourceCode cell-code" id="cb14"><pre class="sourceCode numberSource python number-lines code-with-copy"><code class="sourceCode python"><span id="cb14-1"><a href="#cb14-1"></a><span class="co"># Python Install</span></span>
<span id="cb14-2"><a href="#cb14-2"></a>pip install duckdb</span>
<span id="cb14-3"><a href="#cb14-3"></a>pip install pyarrow</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</div>
</div>
<div class="footer">
<p>DuckDB Labs | Learn how <a href="https://duckdb.org/2021/12/03/duck-arrow.html">DuckDB quacks Arrow</a></p>
</div>
</section>
<section id="duckdb-basics" class="slide level2">
<h2>DuckDB Basics <img data-src="hexes/duckdb.png" class="absolute" style="top: -20px; right: 0px; height: 74.24px; "></h2>
<div class="panel-tabset">
<ul id="tabset-1" class="panel-tabset-tabby"><li><a data-tabby-default="" href="#tabset-1-1">R</a></li><li><a href="#tabset-1-2">Python</a></li></ul>
<div class="tab-content">
<div id="tabset-1-1">
<div class="cell">
<div class="sourceCode cell-code" id="cb15"><pre class="sourceCode numberSource r number-lines code-with-copy"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1"></a><span class="fu">library</span>(duckdb)</span>
<span id="cb15-2"><a href="#cb15-2"></a><span class="fu">library</span>(arrow)</span>
<span id="cb15-3"><a href="#cb15-3"></a><span class="fu">library</span>(dplyr)</span>
<span id="cb15-4"><a href="#cb15-4"></a></span>
<span id="cb15-5"><a href="#cb15-5"></a>ds <span class="ot"><-</span> arrow<span class="sc">::</span><span class="fu">open_dataset</span>(<span class="st">"nyc-taxi"</span>, <span class="at">partitioning =</span> <span class="fu">c</span>(<span class="st">"year"</span>, <span class="st">"month"</span>))</span>
<span id="cb15-6"><a href="#cb15-6"></a></span>
<span id="cb15-7"><a href="#cb15-7"></a>ds <span class="sc">|></span></span>
<span id="cb15-8"><a href="#cb15-8"></a> <span class="fu">filter</span>(year <span class="sc">></span> <span class="dv">2014</span> <span class="sc">&</span> passenger_count <span class="sc">></span> <span class="dv">0</span> <span class="sc">&</span> </span>
<span id="cb15-9"><a href="#cb15-9"></a> trip_distance <span class="sc">></span> <span class="fl">0.25</span> <span class="sc">&</span> fare_amount <span class="sc">></span> <span class="dv">0</span>) <span class="sc">|></span></span>
<span id="cb15-10"><a href="#cb15-10"></a> <span class="co"># Pass off to DuckDB</span></span>
<span id="cb15-11"><a href="#cb15-11"></a> <span class="fu">to_duckdb</span>() <span class="sc">|></span></span>
<span id="cb15-12"><a href="#cb15-12"></a> <span class="fu">group_by</span>(passenger_count) <span class="sc">|></span></span>
<span id="cb15-13"><a href="#cb15-13"></a> <span class="fu">mutate</span>(<span class="at">tip_pct =</span> tip_amount <span class="sc">/</span> fare_amount) <span class="sc">|></span></span>
<span id="cb15-14"><a href="#cb15-14"></a> <span class="fu">summarise</span>(<span class="at">fare_amount =</span> <span class="fu">mean</span>(fare_amount, <span class="at">na.rm =</span> <span class="cn">TRUE</span>),</span>
<span id="cb15-15"><a href="#cb15-15"></a> <span class="at">tip_amount =</span> <span class="fu">mean</span>(tip_amount, <span class="at">na.rm =</span> <span class="cn">TRUE</span>),</span>
<span id="cb15-16"><a href="#cb15-16"></a> <span class="at">tip_pct =</span> <span class="fu">mean</span>(tip_pct, <span class="at">na.rm =</span> <span class="cn">TRUE</span>)) <span class="sc">|></span></span>
<span id="cb15-17"><a href="#cb15-17"></a> <span class="fu">arrange</span>(passenger_count) <span class="sc">|></span></span>
<span id="cb15-18"><a href="#cb15-18"></a> <span class="fu">collect</span>()</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</div>
<div id="tabset-1-2">
<div class="cell">
<div class="sourceCode cell-code" id="cb16"><pre class="sourceCode numberSource python number-lines code-with-copy"><code class="sourceCode python"><span id="cb16-1"><a href="#cb16-1"></a><span class="im">import</span> duckdb</span>
<span id="cb16-2"><a href="#cb16-2"></a><span class="im">import</span> pyarrow <span class="im">as</span> pa</span>
<span id="cb16-3"><a href="#cb16-3"></a><span class="im">import</span> pyarrow.dataset <span class="im">as</span> ds</span>
<span id="cb16-4"><a href="#cb16-4"></a></span>
<span id="cb16-5"><a href="#cb16-5"></a><span class="co"># Open dataset using year,month folder partition</span></span>
<span id="cb16-6"><a href="#cb16-6"></a>nyc <span class="op">=</span> ds.dataset(<span class="st">'nyc-taxi/'</span>, partitioning<span class="op">=</span>[<span class="st">"year"</span>, <span class="st">"month"</span>])</span>
<span id="cb16-7"><a href="#cb16-7"></a></span>
<span id="cb16-8"><a href="#cb16-8"></a><span class="co"># We transform the nyc dataset into a DuckDB relation</span></span>
<span id="cb16-9"><a href="#cb16-9"></a>nyc <span class="op">=</span> duckdb.arrow(nyc)</span>
<span id="cb16-10"><a href="#cb16-10"></a></span>
<span id="cb16-11"><a href="#cb16-11"></a><span class="co"># Run same query again</span></span>
<span id="cb16-12"><a href="#cb16-12"></a>nyc.<span class="bu">filter</span>(<span class="st">"year > 2014 & passenger_count > 0 & trip_distance > 0.25 & fare_amount > 0"</span>)</span>