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       <h1>Connecting to a Flight server</h1>


       <small class="dont-index">Source: <a href="https://github.com/apache/arrow/blob/main/r/vignettes/flight.Rmd" class="external-link"><code>vignettes/flight.Rmd</code></a></small>
       <div class="d-none name"><code>flight.Rmd</code></div>
     </div>


 <p><a href="https://arrow.apache.org/blog/2019/10/13/introducing-arrow-flight/" class="external-link">Arrow
 Flight</a> is a general-purpose client-server framework for high
 performance transport of large datasets over network interfaces, built
 as part of the Apache Arrow project. It allows for highly efficient data
 transfer by several means:</p>
 <ul>
 <li>Flight removes the need for deserialization during data
 transfer.</li>
 <li>Flight allows for parallel data streaming.</li>
 <li>Flight employs optimizations designed to take advantage of Arrow’s
 columnar format.</li>
 </ul>
 <p>The arrow package provides methods for connecting to Flight servers
 to send and receive data.</p>
 <div class="section level2">
 <h2 id="prerequisites">Prerequisites<a class="anchor" aria-label="anchor" href="#prerequisites"></a>
 </h2>
 <p>At present the arrow package in R does not supply an independent
 implementation of Arrow Flight: it works by calling <a href="https://arrow.apache.org/docs/python/api/flight.html" class="external-link">Flight
 methods supplied by PyArrow</a> Python, and requires both the <a href="https://rstudio.github.io/reticulate/" class="external-link">reticulate</a> package and
 the Python PyArrow library to be installed. If you are using them for
 the first time you can install them like this:</p>
 <div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"reticulate"</span><span class="op">)</span></span>
 <span><span class="fu">arrow</span><span class="fu">::</span><span class="fu"><a href="../reference/install_pyarrow.html">install_pyarrow</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
 <p>See the <a href="./python.html">python integrations article</a> for
 more details on setting up pyarrow.</p>
 </div>
 <div class="section level2">
 <h2 id="example">Example<a class="anchor" aria-label="anchor" href="#example"></a>
 </h2>
 <p>The package includes methods for starting a Python-based Flight
 server, as well as methods for connecting to a Flight server running
 elsewhere. To illustrate both sides, in one R process we’ll start a demo
 server:</p>
 <div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/apache/arrow/" class="external-link">arrow</a></span><span class="op">)</span></span>
 <span><span class="va">demo_server</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/load_flight_server.html">load_flight_server</a></span><span class="op">(</span><span class="st">"demo_flight_server"</span><span class="op">)</span></span>
 <span><span class="va">server</span> <span class="op">&lt;-</span> <span class="va">demo_server</span><span class="op">$</span><span class="fu">DemoFlightServer</span><span class="op">(</span>port <span class="op">=</span> <span class="fl">8089</span><span class="op">)</span></span>
 <span><span class="va">server</span><span class="op">$</span><span class="fu">serve</span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
 <p>We’ll leave that one running.</p>
 <p>In a different R process, let’s connect to it and put some data in
 it.</p>
 <div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/apache/arrow/" class="external-link">arrow</a></span><span class="op">)</span></span>
 <span><span class="va">client</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/flight_connect.html">flight_connect</a></span><span class="op">(</span>port <span class="op">=</span> <span class="fl">8089</span><span class="op">)</span></span>
 <span><span class="fu"><a href="../reference/flight_put.html">flight_put</a></span><span class="op">(</span><span class="va">client</span>, <span class="va">iris</span>, path <span class="op">=</span> <span class="st">"test_data/iris"</span><span class="op">)</span></span></code></pre></div>
 <p>Now, in yet another R process, we can connect to the server and pull
 the data we put there:</p>
 <div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
 <code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/apache/arrow/" class="external-link">arrow</a></span><span class="op">)</span></span>
 <span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span></span>
 <span><span class="va">client</span> <span class="op">&lt;-</span> <span class="fu"><a href="../reference/flight_connect.html">flight_connect</a></span><span class="op">(</span>port <span class="op">=</span> <span class="fl">8089</span><span class="op">)</span></span>
 <span><span class="va">client</span> <span class="op">|&gt;</span></span>
 <span>  <span class="fu"><a href="../reference/flight_get.html">flight_get</a></span><span class="op">(</span><span class="st">"test_data/iris"</span><span class="op">)</span> <span class="op">|&gt;</span></span>
 <span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">Species</span><span class="op">)</span> <span class="op">|&gt;</span></span>
 <span>  <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarize</a></span><span class="op">(</span>max_petal <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">Petal.Length</span><span class="op">)</span><span class="op">)</span></span>
 <span></span>
 <span><span class="co">## # A tibble: 3 x 2</span></span>
 <span><span class="co">##   Species    max_petal</span></span>
 <span><span class="co">##   &lt;fct&gt;          &lt;dbl&gt;</span></span>
 <span><span class="co">## 1 setosa           1.9</span></span>
 <span><span class="co">## 2 versicolor       5.1</span></span>
 <span><span class="co">## 3 virginica        6.9</span></span></code></pre></div>
 <p>Because <code><a href="../reference/flight_get.html">flight_get()</a></code> returns an Arrow data structure,
 you can directly pipe its result into a <a href="https://dplyr.tidyverse.org/" class="external-link">dplyr</a> workflow. See the article
 on <a href="./data_wrangling.html">data wrangling</a> for more
 information on working with Arrow objects via a dplyr interface.</p>
 </div>
 <div class="section level2">
 <h2 id="further-reading">Further reading<a class="anchor" aria-label="anchor" href="#further-reading"></a>
 </h2>
 <ul>
 <li>The specification of the <a href="https://arrow.apache.org/docs/format/Flight.html" class="external-link">Flight remote
 procedure call protocol</a> is listed on the Arrow project homepage</li>
 <li>The Arrow C++ documentation contains a list of <a href="https://arrow.apache.org/docs/cpp/flight.html#best-practices" class="external-link">best
 practices</a> for Arrow Flight.</li>
 <li>A detailed worked example of an Arrow Flight server in Python is
 provided in the <a href="https://arrow.apache.org/cookbook/py/flight.html" class="external-link">Apache Arrow
 Python Cookbook</a>.</li>
 </ul>
 </div>
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	<main id="main" class="col-md-9"><div class="page-header">

	<h1>Connecting to a Flight server</h1>


	<small class="dont-index">Source: <a href="https://github.com/apache/arrow/blob/main/r/vignettes/flight.Rmd" class="external-link"><code>vignettes/flight.Rmd</code></a></small>
	<div class="d-none name"><code>flight.Rmd</code></div>
	</div>



	<p><a href="https://arrow.apache.org/blog/2019/10/13/introducing-arrow-flight/" class="external-link">Arrow
	Flight</a> is a general-purpose client-server framework for high
	performance transport of large datasets over network interfaces, built
	as part of the Apache Arrow project. It allows for highly efficient data
	transfer by several means:</p>
	<ul>
	<li>Flight removes the need for deserialization during data
	transfer.</li>
	<li>Flight allows for parallel data streaming.</li>
	<li>Flight employs optimizations designed to take advantage of Arrow’s
	columnar format.</li>
	</ul>
	<p>The arrow package provides methods for connecting to Flight servers
	to send and receive data.</p>
	<div class="section level2">
	<h2 id="prerequisites">Prerequisites<a class="anchor" aria-label="anchor" href="#prerequisites"></a>
	</h2>
	<p>At present the arrow package in R does not supply an independent
	implementation of Arrow Flight: it works by calling <a href="https://arrow.apache.org/docs/python/api/flight.html" class="external-link">Flight
	methods supplied by PyArrow</a> Python, and requires both the <a href="https://rstudio.github.io/reticulate/" class="external-link">reticulate</a> package and
	the Python PyArrow library to be installed. If you are using them for
	the first time you can install them like this:</p>
	<div class="sourceCode" id="cb1"><pre class="downlit sourceCode r">
	<code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/utils/install.packages.html" class="external-link">install.packages</a></span><span class="op">(</span><span class="st">"reticulate"</span><span class="op">)</span></span>
	<span><span class="fu">arrow</span><span class="fu">::</span><span class="fu"><a href="../reference/install_pyarrow.html">install_pyarrow</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
	<p>See the <a href="./python.html">python integrations article</a> for
	more details on setting up pyarrow.</p>
	</div>
	<div class="section level2">
	<h2 id="example">Example<a class="anchor" aria-label="anchor" href="#example"></a>
	</h2>
	<p>The package includes methods for starting a Python-based Flight
	server, as well as methods for connecting to a Flight server running
	elsewhere. To illustrate both sides, in one R process we’ll start a demo
	server:</p>
	<div class="sourceCode" id="cb2"><pre class="downlit sourceCode r">
	<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/apache/arrow/" class="external-link">arrow</a></span><span class="op">)</span></span>
	<span><span class="va">demo_server</span> <span class="op"><-</span> <span class="fu"><a href="../reference/load_flight_server.html">load_flight_server</a></span><span class="op">(</span><span class="st">"demo_flight_server"</span><span class="op">)</span></span>
	<span><span class="va">server</span> <span class="op"><-</span> <span class="va">demo_server</span><span class="op">$</span><span class="fu">DemoFlightServer</span><span class="op">(</span>port <span class="op">=</span> <span class="fl">8089</span><span class="op">)</span></span>
	<span><span class="va">server</span><span class="op">$</span><span class="fu">serve</span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
	<p>We’ll leave that one running.</p>
	<p>In a different R process, let’s connect to it and put some data in
	it.</p>
	<div class="sourceCode" id="cb3"><pre class="downlit sourceCode r">
	<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/apache/arrow/" class="external-link">arrow</a></span><span class="op">)</span></span>
	<span><span class="va">client</span> <span class="op"><-</span> <span class="fu"><a href="../reference/flight_connect.html">flight_connect</a></span><span class="op">(</span>port <span class="op">=</span> <span class="fl">8089</span><span class="op">)</span></span>
	<span><span class="fu"><a href="../reference/flight_put.html">flight_put</a></span><span class="op">(</span><span class="va">client</span>, <span class="va">iris</span>, path <span class="op">=</span> <span class="st">"test_data/iris"</span><span class="op">)</span></span></code></pre></div>
	<p>Now, in yet another R process, we can connect to the server and pull
	the data we put there:</p>
	<div class="sourceCode" id="cb4"><pre class="downlit sourceCode r">
	<code class="sourceCode R"><span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://github.com/apache/arrow/" class="external-link">arrow</a></span><span class="op">)</span></span>
	<span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">library</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span></span>
	<span><span class="va">client</span> <span class="op"><-</span> <span class="fu"><a href="../reference/flight_connect.html">flight_connect</a></span><span class="op">(</span>port <span class="op">=</span> <span class="fl">8089</span><span class="op">)</span></span>
	<span><span class="va">client</span> <span class="op">\|></span></span>
	<span> <span class="fu"><a href="../reference/flight_get.html">flight_get</a></span><span class="op">(</span><span class="st">"test_data/iris"</span><span class="op">)</span> <span class="op">\|></span></span>
	<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/group_by.html" class="external-link">group_by</a></span><span class="op">(</span><span class="va">Species</span><span class="op">)</span> <span class="op">\|></span></span>
	<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/summarise.html" class="external-link">summarize</a></span><span class="op">(</span>max_petal <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/Extremes.html" class="external-link">max</a></span><span class="op">(</span><span class="va">Petal.Length</span><span class="op">)</span><span class="op">)</span></span>
	<span></span>
	<span><span class="co">## # A tibble: 3 x 2</span></span>
	<span><span class="co">## Species max_petal</span></span>
	<span><span class="co">## <fct> <dbl></span></span>
	<span><span class="co">## 1 setosa 1.9</span></span>
	<span><span class="co">## 2 versicolor 5.1</span></span>
	<span><span class="co">## 3 virginica 6.9</span></span></code></pre></div>
	<p>Because <code><a href="../reference/flight_get.html">flight_get()</a></code> returns an Arrow data structure,
	you can directly pipe its result into a <a href="https://dplyr.tidyverse.org/" class="external-link">dplyr</a> workflow. See the article
	on <a href="./data_wrangling.html">data wrangling</a> for more
	information on working with Arrow objects via a dplyr interface.</p>
	</div>
	<div class="section level2">
	<h2 id="further-reading">Further reading<a class="anchor" aria-label="anchor" href="#further-reading"></a>
	</h2>
	<ul>
	<li>The specification of the <a href="https://arrow.apache.org/docs/format/Flight.html" class="external-link">Flight remote
	procedure call protocol</a> is listed on the Arrow project homepage</li>
	<li>The Arrow C++ documentation contains a list of <a href="https://arrow.apache.org/docs/cpp/flight.html#best-practices" class="external-link">best
	practices</a> for Arrow Flight.</li>
	<li>A detailed worked example of an Arrow Flight server in Python is
	provided in the <a href="https://arrow.apache.org/cookbook/py/flight.html" class="external-link">Apache Arrow
	Python Cookbook</a>.</li>
	</ul>
	</div>
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