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 allow us to distinguish between things that are not supported in Arrow and
 things that are just invalid input. Additional wrapping in arrow_eval()
 and try_arrow_dplyr() provide more context and suggestions.
 Importantly, if arrow_not_supported is raised, then retrying the same code
 in regular dplyr in R may work. But if validation_error is raised, then we
 shouldn't recommend retrying with regular dplyr because it will fail there
 too."><meta property="og:description" content="arrow_not_supported() and validation_error() raise classed errors that
 allow us to distinguish between things that are not supported in Arrow and
 things that are just invalid input. Additional wrapping in arrow_eval()
 and try_arrow_dplyr() provide more context and suggestions.
 Importantly, if arrow_not_supported is raised, then retrying the same code
 in regular dplyr in R may work. But if validation_error is raised, then we
 shouldn't recommend retrying with regular dplyr because it will fail there
 too."><meta property="og:image" content="https://arrow.apache.org/img/arrow-logo_horizontal_black-txt_white-bg.png"><meta property="og:image:alt" content="Apache Arrow logo, displaying the triple chevron image adjacent to the text"><!-- Matomo --><script>
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       <h1>Helpers to raise classed errors</h1>
       <small class="dont-index">Source: <a href="https://github.com/apache/arrow/blob/main/r/R/dplyr-eval.R" class="external-link"><code>R/dplyr-eval.R</code></a></small>
       <div class="d-none name"><code>arrow_not_supported.Rd</code></div>
     </div>

     <div class="ref-description section level2">
     <p><code>arrow_not_supported()</code> and <code>validation_error()</code> raise classed errors that
 allow us to distinguish between things that are not supported in Arrow and
 things that are just invalid input. Additional wrapping in <code>arrow_eval()</code>
 and <code>try_arrow_dplyr()</code> provide more context and suggestions.
 Importantly, if <code>arrow_not_supported</code> is raised, then retrying the same code
 in regular dplyr in R may work. But if <code>validation_error</code> is raised, then we
 shouldn't recommend retrying with regular dplyr because it will fail there
 too.</p>
     </div>

     <div class="section level2">
     <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">arrow_not_supported</span><span class="op">(</span></span>
 <span>  <span class="va">msg</span>,</span>
 <span>  .actual_msg <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="va">msg</span>, <span class="st">"not supported in Arrow"</span><span class="op">)</span>,</span>
 <span>  <span class="va">...</span></span>
 <span><span class="op">)</span></span>
 <span></span>
 <span><span class="fu">validation_error</span><span class="op">(</span><span class="va">msg</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>

     <div class="section level2">
     <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>


 <dl><dt id="arg-msg">msg<a class="anchor" aria-label="anchor" href="#arg-msg"></a></dt>
 <dd><p>The message to show. <code>arrow_not_supported()</code> will append
 "not supported in Arrow" to this message.</p></dd>


 <dt id="arg--actual-msg">.actual_msg<a class="anchor" aria-label="anchor" href="#arg--actual-msg"></a></dt>
 <dd><p>If you don't want to append "not supported in Arrow" to
 the message, you can provide the full message here.</p></dd>


 <dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
 <dd><p>Additional arguments to pass to <code><a href="https://rlang.r-lib.org/reference/abort.html" class="external-link">rlang::abort()</a></code>. Useful arguments
 include <code>call</code> to provide the call or expression that caused the error, and
 <code>body</code> to provide additional context about the error.</p></dd>

 </dl></div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>Use these in function bindings and in the dplyr methods. Inside of function
 bindings, you don't need to provide the <code>call</code> argument, as it will be
 automatically filled in with the expression that caused the error in
 <code>arrow_eval()</code>. In dplyr methods, you should provide the <code>call</code> argument;
 <code><a href="https://rlang.r-lib.org/reference/stack.html" class="external-link">rlang::caller_call()</a></code> often is correct, but you may need to experiment to
 find how far up the call stack you need to look.</p>
 <p>You may provide additional information in the <code>body</code> argument, a named
 character vector. Use <code>i</code> for additional information about the error and <code>&gt;</code>
 to indicate potential solutions or workarounds that don't require pulling the
 data into R. If you have an <code>arrow_not_supported()</code> error with a <code>&gt;</code>
 suggestion, when the error is ultimately raised by <code>try_error_dplyr()</code>,
 <code>Call collect() first to pull data into R</code> won't be the only suggestion.</p>
 <p>You can still use <code><a href="https://rdrr.io/r/base/match.arg.html" class="external-link">match.arg()</a></code> and <code>assert_that()</code> for simple input
 validation inside of the function bindings. <code>arrow_eval()</code> will catch their
 errors and re-raise them as <code>validation_error</code>.</p>
     </div>

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	allow us to distinguish between things that are not supported in Arrow and
	things that are just invalid input. Additional wrapping in arrow_eval()
	and try_arrow_dplyr() provide more context and suggestions.
	Importantly, if arrow_not_supported is raised, then retrying the same code
	in regular dplyr in R may work. But if validation_error is raised, then we
	shouldn't recommend retrying with regular dplyr because it will fail there
	too."><meta property="og:description" content="arrow_not_supported() and validation_error() raise classed errors that
	allow us to distinguish between things that are not supported in Arrow and
	things that are just invalid input. Additional wrapping in arrow_eval()
	and try_arrow_dplyr() provide more context and suggestions.
	Importantly, if arrow_not_supported is raised, then retrying the same code
	in regular dplyr in R may work. But if validation_error is raised, then we
	shouldn't recommend retrying with regular dplyr because it will fail there
	too."><meta property="og:image" content="https://arrow.apache.org/img/arrow-logo_horizontal_black-txt_white-bg.png"><meta property="og:image:alt" content="Apache Arrow logo, displaying the triple chevron image adjacent to the text"><!-- Matomo --><script>
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	<div class="row">
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	<h1>Helpers to raise classed errors</h1>
	<small class="dont-index">Source: <a href="https://github.com/apache/arrow/blob/main/r/R/dplyr-eval.R" class="external-link"><code>R/dplyr-eval.R</code></a></small>
	<div class="d-none name"><code>arrow_not_supported.Rd</code></div>
	</div>

	<div class="ref-description section level2">
	<p><code>arrow_not_supported()</code> and <code>validation_error()</code> raise classed errors that
	allow us to distinguish between things that are not supported in Arrow and
	things that are just invalid input. Additional wrapping in <code>arrow_eval()</code>
	and <code>try_arrow_dplyr()</code> provide more context and suggestions.
	Importantly, if <code>arrow_not_supported</code> is raised, then retrying the same code
	in regular dplyr in R may work. But if <code>validation_error</code> is raised, then we
	shouldn't recommend retrying with regular dplyr because it will fail there
	too.</p>
	</div>

	<div class="section level2">
	<h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage"></a></h2>
	<div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">arrow_not_supported</span><span class="op">(</span></span>
	<span> <span class="va">msg</span>,</span>
	<span> .actual_msg <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/paste.html" class="external-link">paste</a></span><span class="op">(</span><span class="va">msg</span>, <span class="st">"not supported in Arrow"</span><span class="op">)</span>,</span>
	<span> <span class="va">...</span></span>
	<span><span class="op">)</span></span>
	<span></span>
	<span><span class="fu">validation_error</span><span class="op">(</span><span class="va">msg</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
	</div>

	<div class="section level2">
	<h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#arguments"></a></h2>


	<dl><dt id="arg-msg">msg<a class="anchor" aria-label="anchor" href="#arg-msg"></a></dt>
	<dd><p>The message to show. <code>arrow_not_supported()</code> will append
	"not supported in Arrow" to this message.</p></dd>


	<dt id="arg--actual-msg">.actual_msg<a class="anchor" aria-label="anchor" href="#arg--actual-msg"></a></dt>
	<dd><p>If you don't want to append "not supported in Arrow" to
	the message, you can provide the full message here.</p></dd>


	<dt id="arg--">...<a class="anchor" aria-label="anchor" href="#arg--"></a></dt>
	<dd><p>Additional arguments to pass to <code><a href="https://rlang.r-lib.org/reference/abort.html" class="external-link">rlang::abort()</a></code>. Useful arguments
	include <code>call</code> to provide the call or expression that caused the error, and
	<code>body</code> to provide additional context about the error.</p></dd>

	</dl></div>
	<div class="section level2">
	<h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
	<p>Use these in function bindings and in the dplyr methods. Inside of function
	bindings, you don't need to provide the <code>call</code> argument, as it will be
	automatically filled in with the expression that caused the error in
	<code>arrow_eval()</code>. In dplyr methods, you should provide the <code>call</code> argument;
	<code><a href="https://rlang.r-lib.org/reference/stack.html" class="external-link">rlang::caller_call()</a></code> often is correct, but you may need to experiment to
	find how far up the call stack you need to look.</p>
	<p>You may provide additional information in the <code>body</code> argument, a named
	character vector. Use <code>i</code> for additional information about the error and <code>></code>
	to indicate potential solutions or workarounds that don't require pulling the
	data into R. If you have an <code>arrow_not_supported()</code> error with a <code>></code>
	suggestion, when the error is ultimately raised by <code>try_error_dplyr()</code>,
	<code>Call collect() first to pull data into R</code> won't be the only suggestion.</p>
	<p>You can still use <code><a href="https://rdrr.io/r/base/match.arg.html" class="external-link">match.arg()</a></code> and <code>assert_that()</code> for simple input
	validation inside of the function bindings. <code>arrow_eval()</code> will catch their
	errors and re-raise them as <code>validation_error</code>.</p>
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