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   <main id="main" class="col-md-9"><div class="page-header">
       <img src="" class="logo" alt=""><h1>localCheckpoint</h1>

       <div class="d-none name"><code>localCheckpoint.Rd</code></div>
     </div>

     <div class="ref-description section level2">
     <p>Returns a locally checkpointed version of this SparkDataFrame. Checkpointing can be used to
 truncate the logical plan, which is especially useful in iterative algorithms where the plan
 may grow exponentially. Local checkpoints are stored in the executors using the caching
 subsystem and therefore they are not reliable.</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">localCheckpoint</span><span class="op">(</span><span class="va">x</span>, eager <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
 <span></span>
 <span><span class="co"># S4 method for SparkDataFrame</span></span>
 <span><span class="fu">localCheckpoint</span><span class="op">(</span><span class="va">x</span>, eager <span class="op">=</span> <span class="cn">TRUE</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>x</dt>
 <dd><p>A SparkDataFrame</p></dd>


 <dt>eager</dt>
 <dd><p>whether to locally checkpoint this SparkDataFrame immediately</p></dd>

 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>


 <p>a new locally checkpointed SparkDataFrame</p>
     </div>
     <div class="section level2">
     <h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
     <p>localCheckpoint since 2.3.0</p>
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
     <div class="dont-index"><p>Other SparkDataFrame functions:
 <code><a href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
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 <code><a href="broadcast.html">broadcast</a>()</code>,
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 <code><a href="checkpoint.html">checkpoint</a>()</code>,
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     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
 <span class="r-in"><span><span class="va">df</span> <span class="op">&lt;-</span> <span class="fu">localCheckpoint</span><span class="op">(</span><span class="va">df</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="op">}</span></span></span>
 </code></pre></div>
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	<main id="main" class="col-md-9"><div class="page-header">
	<img src="" class="logo" alt=""><h1>localCheckpoint</h1>

	<div class="d-none name"><code>localCheckpoint.Rd</code></div>
	</div>

	<div class="ref-description section level2">
	<p>Returns a locally checkpointed version of this SparkDataFrame. Checkpointing can be used to
	truncate the logical plan, which is especially useful in iterative algorithms where the plan
	may grow exponentially. Local checkpoints are stored in the executors using the caching
	subsystem and therefore they are not reliable.</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">localCheckpoint</span><span class="op">(</span><span class="va">x</span>, eager <span class="op">=</span> <span class="cn">TRUE</span><span class="op">)</span></span>
	<span></span>
	<span><span class="co"># S4 method for SparkDataFrame</span></span>
	<span><span class="fu">localCheckpoint</span><span class="op">(</span><span class="va">x</span>, eager <span class="op">=</span> <span class="cn">TRUE</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>x</dt>
	<dd><p>A SparkDataFrame</p></dd>


	<dt>eager</dt>
	<dd><p>whether to locally checkpoint this SparkDataFrame immediately</p></dd>

	</dl></div>
	<div class="section level2">
	<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>


	<p>a new locally checkpointed SparkDataFrame</p>
	</div>
	<div class="section level2">
	<h2 id="note">Note<a class="anchor" aria-label="anchor" href="#note"></a></h2>
	<p>localCheckpoint since 2.3.0</p>
	</div>
	<div class="section level2">
	<h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
	<div class="dont-index"><p>Other SparkDataFrame functions:
	<code><a href="SparkDataFrame.html">SparkDataFrame-class</a></code>,
	<code><a href="summarize.html">agg</a>()</code>,
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	<code><a href="broadcast.html">broadcast</a>()</code>,
	<code><a href="cache.html">cache</a>()</code>,
	<code><a href="checkpoint.html">checkpoint</a>()</code>,
	<code><a href="coalesce.html">coalesce</a>()</code>,
	<code><a href="collect.html">collect</a>()</code>,
	<code><a href="columns.html">colnames</a>()</code>,
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	<div class="section level2">
	<h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
	<div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span></span></span>
	<span class="r-in"><span><span class="va">df</span> <span class="op"><-</span> <span class="fu">localCheckpoint</span><span class="op">(</span><span class="va">df</span><span class="op">)</span></span></span>
	<span class="r-in"><span><span class="op">}</span></span></span>
	</code></pre></div>
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