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interface; most users should use as.data.frame() or as.vector() unless
finer-grained control is needed over the conversion. See convert_array()
for details of the conversion process; see infer_nanoarrow_ptype() for
default inferences of to."><meta property="og:description" content="Converts array_stream to the type specified by to. This is a low-level
interface; most users should use as.data.frame() or as.vector() unless
finer-grained control is needed over the conversion. See convert_array()
for details of the conversion process; see infer_nanoarrow_ptype() for
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<h1>Convert an Array Stream into an R vector</h1>
<small class="dont-index">Source: <a href="https://github.com/apache/arrow-nanoarrow/blob/main/r/R/convert-array-stream.R" class="external-link"><code>R/convert-array-stream.R</code></a></small>
<div class="d-none name"><code>convert_array_stream.Rd</code></div>
</div>
<div class="ref-description section level2">
<p>Converts <code>array_stream</code> to the type specified by <code>to</code>. This is a low-level
interface; most users should use <code><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame()</a></code> or <code><a href="https://rdrr.io/r/base/vector.html" class="external-link">as.vector()</a></code> unless
finer-grained control is needed over the conversion. See <code><a href="convert_array.html">convert_array()</a></code>
for details of the conversion process; see <code><a href="infer_nanoarrow_ptype.html">infer_nanoarrow_ptype()</a></code> for
default inferences of <code>to</code>.</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">convert_array_stream</span><span class="op">(</span><span class="va">array_stream</span>, to <span class="op">=</span> <span class="cn">NULL</span>, size <span class="op">=</span> <span class="cn">NULL</span>, n <span class="op">=</span> <span class="cn">Inf</span><span class="op">)</span></span>
<span></span>
<span><span class="fu">collect_array_stream</span><span class="op">(</span><span class="va">array_stream</span>, n <span class="op">=</span> <span class="cn">Inf</span>, schema <span class="op">=</span> <span class="cn">NULL</span>, validate <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 id="arg-array-stream">array_stream<a class="anchor" aria-label="anchor" href="#arg-array-stream"></a></dt>
<dd><p>A <a href="as_nanoarrow_array_stream.html">nanoarrow_array_stream</a>.</p></dd>
<dt id="arg-to">to<a class="anchor" aria-label="anchor" href="#arg-to"></a></dt>
<dd><p>A target prototype object describing the type to which <code>array</code>
should be converted, or <code>NULL</code> to use the default conversion as
returned by <code><a href="infer_nanoarrow_ptype.html">infer_nanoarrow_ptype()</a></code>. Alternatively, a function can be
passed to perform an alternative calculation of the default ptype as
a function of <code>array</code> and the default inference of the prototype.</p></dd>
<dt id="arg-size">size<a class="anchor" aria-label="anchor" href="#arg-size"></a></dt>
<dd><p>The exact size of the output, if known. If specified,
slightly more efficient implementation may be used to collect the output.</p></dd>
<dt id="arg-n">n<a class="anchor" aria-label="anchor" href="#arg-n"></a></dt>
<dd><p>The maximum number of batches to pull from the array stream.</p></dd>
<dt id="arg-schema">schema<a class="anchor" aria-label="anchor" href="#arg-schema"></a></dt>
<dd><p>A <a href="as_nanoarrow_schema.html">nanoarrow_schema</a> or <code>NULL</code> to guess
based on the first schema.</p></dd>
<dt id="arg-validate">validate<a class="anchor" aria-label="anchor" href="#arg-validate"></a></dt>
<dd><p>Use <code>FALSE</code> to skip the validation step (i.e., if you
know that the arrays are valid).</p></dd>
</dl></div>
<div class="section level2">
<h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
<ul><li><p><code>convert_array_stream()</code>: An R vector of type <code>to</code>.</p></li>
<li><p><code>collect_array_stream()</code>: A <code><a href="https://rdrr.io/r/base/list.html" class="external-link">list()</a></code> of <a href="as_nanoarrow_array.html">nanoarrow_array</a></p></li>
</ul></div>
<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="va">stream</span> <span class="op">&lt;-</span> <span class="fu"><a href="as_nanoarrow_array_stream.html">as_nanoarrow_array_stream</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fl">1</span><span class="op">:</span><span class="fl">5</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="fu">convert_array_stream</span><span class="op">(</span><span class="va">stream</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame': 5 obs. of 1 variable:</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $ x: int 1 2 3 4 5</span>
<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="fu">convert_array_stream</span><span class="op">(</span><span class="va">stream</span>, to <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/double.html" class="external-link">double</a></span><span class="op">(</span><span class="op">)</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame': 0 obs. of 1 variable:</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $ x: num </span>
<span class="r-in"><span></span></span>
<span class="r-in"><span><span class="va">stream</span> <span class="op">&lt;-</span> <span class="fu"><a href="as_nanoarrow_array_stream.html">as_nanoarrow_array_stream</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>x <span class="op">=</span> <span class="fl">1</span><span class="op">:</span><span class="fl">5</span><span class="op">)</span><span class="op">)</span></span></span>
<span class="r-in"><span><span class="fu">collect_array_stream</span><span class="op">(</span><span class="va">stream</span><span class="op">)</span></span></span>
<span class="r-out co"><span class="r-pr">#&gt;</span> [[1]]</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;nanoarrow_array struct[5]&gt;</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $ length : int 5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $ null_count: int 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $ offset : int 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $ buffers :List of 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ..$ :&lt;nanoarrow_buffer validity&lt;bool&gt;[0][0 b]&gt; ``</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $ children :List of 1</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> ..$ x:&lt;nanoarrow_array int32[5]&gt;</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> .. ..$ length : int 5</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> .. ..$ null_count: int 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> .. ..$ offset : int 0</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> .. ..$ buffers :List of 2</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> .. .. ..$ :&lt;nanoarrow_buffer validity&lt;bool&gt;[0][0 b]&gt; ``</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> .. .. ..$ :&lt;nanoarrow_buffer data&lt;int32&gt;[5][20 b]&gt; `1 2 3 4 5`</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> .. ..$ dictionary: NULL</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> .. ..$ children : list()</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> $ dictionary: NULL</span>
<span class="r-out co"><span class="r-pr">#&gt;</span> </span>
<span class="r-in"><span></span></span>
</code></pre></div>
</div>
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