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Posted to commits@arrow.apache.org by gi...@apache.org on 2024/11/26 00:30:57 UTC
(arrow-site) branch asf-site updated: Updating dev docs (build nightly-tests-2024-11-25-0)
This is an automated email from the ASF dual-hosted git repository.
github-bot pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/arrow-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 8de98bfadda Updating dev docs (build nightly-tests-2024-11-25-0)
8de98bfadda is described below
commit 8de98bfaddac278a69ca873511c3e064459fd456
Author: github-actions[bot] <gi...@users.noreply.github.com>
AuthorDate: Tue Nov 26 00:30:51 2024 +0000
Updating dev docs (build nightly-tests-2024-11-25-0)
---
docs/dev/python/data.html | 46 +++++------
docs/dev/python/dataset.html | 136 ++++++++++++++++----------------
docs/dev/python/getstarted.html | 2 +-
docs/dev/python/memory.html | 8 +-
docs/dev/python/pandas.html | 6 +-
docs/dev/python/parquet.html | 12 +--
docs/dev/r/articles/data_wrangling.html | 24 +++---
docs/dev/r/pkgdown.yml | 2 +-
docs/dev/r/reference/to_duckdb.html | 8 +-
docs/dev/r/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
11 files changed, 124 insertions(+), 124 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index 8f252569a4f..5a9c1eea7d5 100644
--- a/docs/dev/python/data.html
+++ b/docs/dev/python/data.html
@@ -1667,7 +1667,7 @@ for you:</p>
<span class="gp">In [26]: </span><span class="n">arr</span>
<span class="gh">Out[26]: </span>
-<span class="go"><pyarrow.lib.Int64Array object at 0x7fc0b6143040></span>
+<span class="go"><pyarrow.lib.Int64Array object at 0x7f410936ac20></span>
<span class="go">[</span>
<span class="go"> 1,</span>
<span class="go"> 2,</span>
@@ -1679,7 +1679,7 @@ for you:</p>
<p>But you may also pass a specific data type to override type inference:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [27]: </span><span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="nb">type</span><span class="o">=</span><span class="n">pa</span><span class="o">.</span><span class="n">uint16</span><span class="p">())</span>
<span class="gh">Out[27]: </span>
-<span class="go"><pyarrow.lib.UInt16Array object at 0x7fc0b6143760></span>
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<span class="go">[</span>
<span class="go"> 1,</span>
<span class="go"> 2</span>
@@ -1714,7 +1714,7 @@ nulls:</p>
<p>Arrays can be sliced without copying:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [33]: </span><span class="n">arr</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="mi">3</span><span class="p">]</span>
<span class="gh">Out[33]: </span>
-<span class="go"><pyarrow.lib.Int64Array object at 0x7fc0b61846a0></span>
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<span class="go">[</span>
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@@ -1767,7 +1767,7 @@ This allows for ListView arrays to specify out-of-order offsets:</p>
<span class="gp">In [42]: </span><span class="n">arr</span>
<span class="gh">Out[42]: </span>
-<span class="go"><pyarrow.lib.ListViewArray object at 0x7fc0b6184160></span>
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<span class="go">[</span>
<span class="go"> [</span>
<span class="go"> 5,</span>
@@ -1792,7 +1792,7 @@ This allows for ListView arrays to specify out-of-order offsets:</p>
dictionaries:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [43]: </span><span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">([{</span><span class="s1">'x'</span><span class="p">:</span> <span class="mi">1</span><span class="p">,</span> <span class="s1">'y'</span><span class="p">:</span> <span class="kc">True</span><span class="p">},</span> <span class="p">{</span><span class="s1">'z& [...]
<span class="gh">Out[43]: </span>
-<span class="go"><pyarrow.lib.StructArray object at 0x7fc0b6184d60></span>
+<span class="go"><pyarrow.lib.StructArray object at 0x7f41093b8880></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- child 0 type: int64</span>
<span class="go"> [</span>
@@ -1819,7 +1819,7 @@ you must explicitly pass the type:</p>
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<span class="gh">Out[45]: </span>
-<span class="go"><pyarrow.lib.StructArray object at 0x7fc0b6185840></span>
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-<span class="go"><pyarrow.lib.StructArray object at 0x7fc0b6185960></span>
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<span class="go">-- child 0 type: int8</span>
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@@ -1853,7 +1853,7 @@ level and at the individual field level. If initializing from a sequence
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<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [47]: </span><span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">([{</span><span class="s1">'x'</span><span class="p">:</span> <span class="mi">1</span><span class="p">},</span> <span class="kc">None</span><span class="p">,</span> <span class="p">{</span><span class="s1">'y'</span><span class="p">:</span> <span class="kc">None</s [...]
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-<span class="go"><pyarrow.lib.StructArray object at 0x7fc0b6186200></span>
+<span class="go"><pyarrow.lib.StructArray object at 0x7f41093b8820></span>
<span class="go">-- is_valid:</span>
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@@ -1888,7 +1888,7 @@ individual arrays, and no copy is involved:</p>
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@@ -1915,7 +1915,7 @@ the type is explicitly passed into <a class="reference internal" href="generated
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-<span class="go"><pyarrow.lib.MapArray object at 0x7fc0b6186800></span>
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@@ -1949,7 +1949,7 @@ their row, use the <a class="reference internal" href="generated/pyarrow.ListArr
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-<span class="go"><pyarrow.lib.StringArray object at 0x7fc0b6186740></span>
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<span class="go">[</span>
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@@ -1958,7 +1958,7 @@ their row, use the <a class="reference internal" href="generated/pyarrow.ListArr
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<span class="gh">Out[58]: </span>
-<span class="go"><pyarrow.lib.Int64Array object at 0x7fc0b6185ea0></span>
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<span class="go">[</span>
<span class="go"> 4,</span>
<span class="go"> 5,</span>
@@ -1967,7 +1967,7 @@ their row, use the <a class="reference internal" href="generated/pyarrow.ListArr
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-<span class="go"><pyarrow.lib.ListArray object at 0x7fc0b6185d80></span>
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<span class="go">[</span>
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@@ -1980,7 +1980,7 @@ their row, use the <a class="reference internal" href="generated/pyarrow.ListArr
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<span class="gh">Out[60]: </span>
-<span class="go"><pyarrow.lib.ListArray object at 0x7fc0b6186ec0></span>
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<span class="go">[</span>
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<span class="gh">Out[66]: </span>
-<span class="go"><pyarrow.lib.UnionArray object at 0x7fc0b6187400></span>
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<span class="gh">Out[73]: </span>
-<span class="go"><pyarrow.lib.UnionArray object at 0x7fc0b6187d60></span>
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<span class="go">-- is_valid: all not null</span>
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-<span class="go"><pyarrow.lib.DictionaryArray object at 0x7fc0b61b46d0></span>
+<span class="go"><pyarrow.lib.DictionaryArray object at 0x7f41093dc6d0></span>
<span class="go">-- dictionary:</span>
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@@ -2130,7 +2130,7 @@ consider an example:</p>
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-<span class="go"><pyarrow.lib.Int64Array object at 0x7fc0b61c0340></span>
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<span class="go">[</span>
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@@ -2144,7 +2144,7 @@ consider an example:</p>
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-<span class="go"><pyarrow.lib.StringArray object at 0x7fc0b6140760></span>
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<span class="go">[</span>
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@@ -2200,7 +2200,7 @@ instances. Let’s consider a collection of arrays:</p>
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diff --git a/docs/dev/python/dataset.html b/docs/dev/python/dataset.html
index 93be500b6b1..d3f33e7dc6c 100644
--- a/docs/dev/python/dataset.html
+++ b/docs/dev/python/dataset.html
@@ -1568,7 +1568,7 @@ can pass it the path to the directory containing the data files:</p>
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</pre></div>
</div>
<p>In addition to searching a base directory, <a class="reference internal" href="generated/pyarrow.dataset.dataset.html#pyarrow.dataset.dataset" title="pyarrow.dataset.dataset"><code class="xref py py-func docutils literal notranslate"><span class="pre">dataset()</span></code></a> accepts a path to a
@@ -1577,8 +1577,8 @@ single file or a list of file paths.</p>
needed, it only crawls the directory to find all the files:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [14]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">files</span>
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-<span class="go"> '/tmp/pyarrow-0k6p0q_o/parquet_dataset/data2.parquet']</span>
+<span class="go">['/tmp/pyarrow-81ai60o_/parquet_dataset/data1.parquet',</span>
+<span class="go"> '/tmp/pyarrow-81ai60o_/parquet_dataset/data2.parquet']</span>
</pre></div>
</div>
<p>… and infers the dataset’s schema (by default from the first file):</p>
@@ -1599,23 +1599,23 @@ this can require a lot of memory, see below on filtering / iterative loading):</
<span class="go">c: int64</span>
<span class="gt">----</span>
<span class="ne">a</span>: [[0,1,2,3,4],[5,6,7,8,9]]
-<span class="ne">b</span>: [[1.1830167408687324,-0.09646424940710507,-0.5355384881264591,-0.3958687370318206,-0.7582370221556368],[-0.2778800356561973,-0.2244786543060611,-1.4357270085058051,-1.1951239552707618,-1.685803519100417]]
+<span class="ne">b</span>: [[1.3725052176005308,1.2853984535788971,-0.6726429695607735,-0.6291086783667456,0.3975600834189545],[-0.11492083213122459,-0.5141392884059305,-0.9468704270164652,0.5573255977009133,-0.4901044036935773]]
<span class="ne">c</span>: [[1,2,1,2,1],[2,1,2,1,2]]
<span class="c1"># converting to pandas to see the contents of the scanned table</span>
<span class="gp">In [17]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">()</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="gh">Out[17]: </span>
<span class="go"> a b c</span>
-<span class="go">0 0 1.183017 1</span>
-<span class="go">1 1 -0.096464 2</span>
-<span class="go">2 2 -0.535538 1</span>
-<span class="go">3 3 -0.395869 2</span>
-<span class="go">4 4 -0.758237 1</span>
-<span class="go">5 5 -0.277880 2</span>
-<span class="go">6 6 -0.224479 1</span>
-<span class="go">7 7 -1.435727 2</span>
-<span class="go">8 8 -1.195124 1</span>
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+<span class="go">0 0 1.372505 1</span>
+<span class="go">1 1 1.285398 2</span>
+<span class="go">2 2 -0.672643 1</span>
+<span class="go">3 3 -0.629109 2</span>
+<span class="go">4 4 0.397560 1</span>
+<span class="go">5 5 -0.114921 2</span>
+<span class="go">6 6 -0.514139 1</span>
+<span class="go">7 7 -0.946870 2</span>
+<span class="go">8 8 0.557326 1</span>
+<span class="go">9 9 -0.490104 2</span>
</pre></div>
</div>
</section>
@@ -1638,11 +1638,11 @@ supported; more formats are planned in the future.</p>
<span class="gp">In [21]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">()</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
<span class="gh">Out[21]: </span>
<span class="go"> a b c</span>
-<span class="go">0 0 1.183017 1</span>
-<span class="go">1 1 -0.096464 2</span>
-<span class="go">2 2 -0.535538 1</span>
-<span class="go">3 3 -0.395869 2</span>
-<span class="go">4 4 -0.758237 1</span>
+<span class="go">0 0 1.372505 1</span>
+<span class="go">1 1 1.285398 2</span>
+<span class="go">2 2 -0.672643 1</span>
+<span class="go">3 3 -0.629109 2</span>
+<span class="go">4 4 0.397560 1</span>
</pre></div>
</div>
</section>
@@ -1674,16 +1674,16 @@ supported; more formats are planned in the future.</p>
<span class="gp">In [23]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="s1">'a'</span><span class="p">,</span> <span class="s1">'b'</span><span class="p">])</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="gh">Out[23]: </span>
<span class="go"> a b</span>
-<span class="go">0 0 1.183017</span>
-<span class="go">1 1 -0.096464</span>
-<span class="go">2 2 -0.535538</span>
-<span class="go">3 3 -0.395869</span>
-<span class="go">4 4 -0.758237</span>
-<span class="go">5 5 -0.277880</span>
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<p>With the <code class="docutils literal notranslate"><span class="pre">filter</span></code> keyword, rows which do not match the filter predicate will
@@ -1692,18 +1692,18 @@ not be included in the returned table. The keyword expects a boolean
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [24]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">(</span><span class="nb">filter</span><span class="o">=</span><span class="n">ds</span><span class="o">.</span><span class="n">field</span><span class="p">(</span><span class="s1">'a'</span><span class="p">)</span> <span class="o">>=</span> <span class="mi">7</sp [...]
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<span class="gp">In [25]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">(</span><span class="nb">filter</span><span class="o">=</span><span class="n">ds</span><span class="o">.</span><span class="n">field</span><span class="p">(</span><span class="s1">'c'</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><spa [...]
<span class="gh">Out[25]: </span>
<span class="go"> a b c</span>
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</pre></div>
</div>
<p>The easiest way to construct those <a class="reference internal" href="generated/pyarrow.dataset.Expression.html#pyarrow.dataset.Expression" title="pyarrow.dataset.Expression"><code class="xref py py-class docutils literal notranslate"><span class="pre">Expression</span></code></a> objects is by using the
@@ -1748,11 +1748,11 @@ values:</p>
<span class="gp">In [30]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">projection</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1766,11 +1766,11 @@ build up the dictionary from the dataset schema:</p>
<span class="gp">In [33]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">projection</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
<span class="gh">Out[33]: </span>
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</pre></div>
</div>
</section>
@@ -1823,8 +1823,8 @@ should use a hive-like partitioning scheme with the <code class="docutils litera
<span class="gp">In [37]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">files</span>
<span class="gh">Out[37]: </span>
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</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1832,9 +1832,9 @@ they will be added back to the resulting table when scanning this dataset:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [38]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">()</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span><span class="o">.</span><span class="n">head</span><span class="p">(</span><span class="mi">3</span><span class="p">)</span>
<span class="gh">Out[38]: </span>
<span class="go"> a b c part</span>
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</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1842,11 +1842,11 @@ altogether if they do not match the filter:</p>
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [39]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">(</span><span class="nb">filter</span><span class="o">=</span><span class="n">ds</span><span class="o">.</span><span class="n">field</span><span class="p">(</span><span class="s2">"part"</span><span class="p">)</span> <span class="o">==</span> <span class="s2">&qu [...]
<span class="gh">Out[39]: </span>
<span class="go"> a b c part</span>
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</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -1978,19 +1978,19 @@ is materialized as columns when reading the data and can be used for filtering:<
<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [47]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">()</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
<span class="gh">Out[47]: </span>
<span class="go"> year col1 col2</span>
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<span class="gp">In [48]: </span><span class="n">dataset</span><span class="o">.</span><span class="n">to_table</span><span class="p">(</span><span class="nb">filter</span><span class="o">=</span><span class="n">ds</span><span class="o">.</span><span class="n">field</span><span class="p">(</span><span class="s1">'year'</span><span class="p">)</span> <span class="o">==</span> <span class="mi">2019</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</spa [...]
<span class="gh">Out[48]: </span>
<span class="go"> year col1 col2</span>
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+<span class="go">1 2019 1 -0.857671</span>
+<span class="go">2 2019 2 0.268308</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2242,7 +2242,7 @@ to supply a visitor that will be called as each file is created:</p>
<span class="gp"> ....: </span>
<span class="go">path=dataset_visited/c=1/part-0.parquet</span>
<span class="go">size=802 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at 0x7fc0b4502020></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at 0x7f41093ad490></span>
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<span class="go"> num_columns: 2</span>
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@@ -2251,7 +2251,7 @@ to supply a visitor that will be called as each file is created:</p>
<span class="go"> serialized_size: 0</span>
<span class="go">path=dataset_visited/c=2/part-0.parquet</span>
<span class="go">size=804 bytes</span>
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+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at 0x7f41093ad490></span>
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diff --git a/docs/dev/python/getstarted.html b/docs/dev/python/getstarted.html
index d4392d51813..cb19a41514a 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1593,7 +1593,7 @@ it’s possible to apply transformations to the data</p>
<span class="gp">In [12]: </span><span class="n">pc</span><span class="o">.</span><span class="n">value_counts</span><span class="p">(</span><span class="n">birthdays_table</span><span class="p">[</span><span class="s2">"years"</span><span class="p">])</span>
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+<span class="go"><pyarrow.lib.StructArray object at 0x7f40c68f67a0></span>
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<span class="go">-- child 0 type: int16</span>
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diff --git a/docs/dev/python/memory.html b/docs/dev/python/memory.html
index c4dc33c0ebd..27f9e166621 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
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+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer address=0x7f40c78910d0 size=26 is_cpu=True is_mutable=False></span>
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@@ -1555,7 +1555,7 @@ referenced using the <a class="reference internal" href="generated/pyarrow.forei
<p>Buffers can be used in circumstances where a Python buffer or memoryview is
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<div class="highlight-ipython notranslate"><div class="highlight"><pre><span></span><span class="gp">In [6]: </span><span class="nb">memoryview</span><span class="p">(</span><span class="n">buf</span><span class="p">)</span>
-<span class="gh">Out[6]: </span><span class="go"><memory at 0x7fc07743ca00></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at 0x7f40c66e4a00></span>
</pre></div>
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<p>The Buffer’s <a class="reference internal" href="generated/pyarrow.Buffer.html#pyarrow.Buffer.to_pybytes" title="pyarrow.Buffer.to_pybytes"><code class="xref py py-meth docutils literal notranslate"><span class="pre">to_pybytes()</span></code></a> method converts the Buffer’s data to a
@@ -1754,7 +1754,7 @@ into Arrow Buffer objects, use <code class="docutils literal notranslate"><span
<span class="gp">In [32]: </span><span class="n">buf</span> <span class="o">=</span> <span class="n">mmap</span><span class="o">.</span><span class="n">read_buffer</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span>
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+<span class="go"><pyarrow.Buffer address=0x7f4169124000 size=4 is_cpu=True is_mutable=False></span>
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+<span class="gh">Out[38]: </span><span class="go"><pyarrow.Buffer address=0x7f415f813000 size=14 is_cpu=True is_mutable=True></span>
<span class="gp">In [39]: </span><span class="n">buf</span><span class="o">.</span><span class="n">size</span>
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diff --git a/docs/dev/python/pandas.html b/docs/dev/python/pandas.html
index 231b5db1cb4..70634e80179 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1716,7 +1716,7 @@ same categories of the Pandas DataFrame.</p>
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<span class="gh">Out[10]: </span>
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+<span class="go"><pyarrow.lib.StringArray object at 0x7f40c65b1480></span>
<span class="go">[</span>
<span class="go"> "a",</span>
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@@ -1725,7 +1725,7 @@ same categories of the Pandas DataFrame.</p>
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-<span class="go"><pyarrow.lib.Int8Array object at 0x7fc103f0d5a0></span>
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<span class="go">[</span>
<span class="go"> 0,</span>
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@@ -1851,7 +1851,7 @@ converted to an Arrow <code class="docutils literal notranslate"><span class="pr
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+<span class="go"><pyarrow.lib.Time64Array object at 0x7f410929b6a0></span>
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diff --git a/docs/dev/python/parquet.html b/docs/dev/python/parquet.html
index 70318103e99..e98aec01d4d 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1687,7 +1687,7 @@ you may choose to omit it by passing <code class="docutils literal notranslate">
<span class="gp">In [20]: </span><span class="n">parquet_file</span><span class="o">.</span><span class="n">metadata</span>
<span class="gh">Out[20]: </span>
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+<span class="go"><pyarrow._parquet.FileMetaData object at 0x7f4157907420></span>
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@@ -1697,7 +1697,7 @@ you may choose to omit it by passing <code class="docutils literal notranslate">
<span class="gp">In [21]: </span><span class="n">parquet_file</span><span class="o">.</span><span class="n">schema</span>
<span class="gh">Out[21]: </span>
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<span class="go"> optional double field_id=-1 one;</span>
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@@ -1755,7 +1755,7 @@ concatenate them into a single table. You can read individual row groups with
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@@ -1769,7 +1769,7 @@ concatenate them into a single table. You can read individual row groups with
such as the row groups and column chunk metadata and statistics:</p>
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@@ -1777,7 +1777,7 @@ such as the row groups and column chunk metadata and statistics:</p>
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@@ -1785,7 +1785,7 @@ such as the row groups and column chunk metadata and statistics:</p>
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diff --git a/docs/dev/r/articles/data_wrangling.html b/docs/dev/r/articles/data_wrangling.html
index d2e3898c97d..7a5cf88ed6a 100644
--- a/docs/dev/r/articles/data_wrangling.html
+++ b/docs/dev/r/articles/data_wrangling.html
@@ -413,18 +413,18 @@ paying a performance penalty using the helper function
<span> <span class="co"># perform other arrow operations...</span></span>
<span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/compute.html" class="external-link">collect</a></span><span class="op">(</span><span class="op">)</span></span></code></pre></div>
<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble: 28 x 4</span></span></span>
-<span><span class="co">## name height mass hair_color</span></span>
-<span><span class="co">## <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><int></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><chr></span> </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> Watto 137 <span style="color: #BB0000;">NA</span> black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> Shmi Skywalker 163 <span style="color: #BB0000;">NA</span> black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> Eeth Koth 171 <span style="color: #BB0000;">NA</span> black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> Luminara Unduli 170 56.2 black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Barriss Offee 166 50 black </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> R4-P17 96 <span style="color: #BB0000;">NA</span> none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> Lobot 175 79 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Ackbar 180 83 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Nien Nunb 160 68 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> Darth Maul 175 80 none </span></span>
+<span><span class="co">## name height mass hair_color</span></span>
+<span><span class="co">## <span style="color: #949494; font-style: italic;"><chr></span> <span style="color: #949494; font-style: italic;"><int></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><chr></span> </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 1</span> Watto 137 <span style="color: #BB0000;">NA</span> black </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> Shmi Skywalker 163 <span style="color: #BB0000;">NA</span> black </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> Eeth Koth 171 <span style="color: #BB0000;">NA</span> black </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> Luminara Unduli 170 56.2 black </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Barriss Offee 166 50 black </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> Yoda 66 17 white </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> Leia Organa 150 49 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Beru Whitesun Lars 165 75 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Wedge Antilles 170 77 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> Wicket Systri Warrick 88 20 brown </span></span>
<span><span class="co">## <span style="color: #949494;"># i 18 more rows</span></span></span></code></pre>
</div>
<div class="section level2">
diff --git a/docs/dev/r/pkgdown.yml b/docs/dev/r/pkgdown.yml
index a68a6e74769..dfcb3aa3fcf 100644
--- a/docs/dev/r/pkgdown.yml
+++ b/docs/dev/r/pkgdown.yml
@@ -21,7 +21,7 @@ articles:
read_write: read_write.html
developers/setup: developers/setup.html
developers/workflow: developers/workflow.html
-last_built: 2024-11-24T01:12Z
+last_built: 2024-11-25T01:08Z
urls:
reference: https://arrow.apache.org/docs/r/reference
article: https://arrow.apache.org/docs/r/articles
diff --git a/docs/dev/r/reference/to_duckdb.html b/docs/dev/r/reference/to_duckdb.html
index 669cb15e8e1..8541ae694ee 100644
--- a/docs/dev/r/reference/to_duckdb.html
+++ b/docs/dev/r/reference/to_duckdb.html
@@ -145,10 +145,10 @@ using them.</p>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494;"># Groups: cyl</span></span>
<span class="r-out co"><span class="r-pr">#></span> mpg cyl disp hp drat wt qsec vs am gear carb</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: #949494; font-style: italic;"><dbl></span> <span style="color: # [...]
-<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3</span>
-<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">4</span> 15.2 8 276. 180 3.07 3.78 18 0 0 3 3</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">1</span> 16.4 8 276. 180 3.07 4.07 17.4 0 0 3 3</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">2</span> 17.3 8 276. 180 3.07 3.73 17.6 0 0 3 3</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">3</span> 15.2 8 276. 180 3.07 3.78 18 0 0 3 3</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">4</span> 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6</span>
<span class="r-out co"><span class="r-pr">#></span> <span style="color: #BCBCBC;">5</span> 27.3 4 79 66 4.08 1.94 18.9 1 1 4 1</span>
</code></pre></div>
</div>
diff --git a/docs/dev/r/search.json b/docs/dev/r/search.json
index dbf3c9d80ca..0b5a627c291 100644
--- a/docs/dev/r/search.json
+++ b/docs/dev/r/search.json
@@ -1 +1 @@
-[{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":null,"dir":"","previous_headings":"","what":"Packaging checklist for CRAN release","title":"Packaging checklist for CRAN release","text":"high-level overview release process see Apache Arrow Release Management Guide.","code":""},{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":"before-the-release-candidate-is-cut","dir":"","previous_headings":"","what":"Before the release candidate is cut","title":"Packaging chec [...]
+[{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":null,"dir":"","previous_headings":"","what":"Packaging checklist for CRAN release","title":"Packaging checklist for CRAN release","text":"high-level overview release process see Apache Arrow Release Management Guide.","code":""},{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":"before-the-release-candidate-is-cut","dir":"","previous_headings":"","what":"Before the release candidate is cut","title":"Packaging chec [...]
diff --git a/docs/dev/searchindex.js b/docs/dev/searchindex.js
index a52eed7faa3..9c1363d21d2 100644
--- a/docs/dev/searchindex.js
+++ b/docs/dev/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"docnames": ["c_glib/arrow-cuda-glib/index", "c_glib/arrow-dataset-glib/index", "c_glib/arrow-flight-glib/index", "c_glib/arrow-flight-sql-glib/index", "c_glib/arrow-glib/index", "c_glib/gandiva-glib/index", "c_glib/index", "c_glib/parquet-glib/index", "cpp/acero/async", "cpp/acero/developer_guide", "cpp/acero/overview", "cpp/acero/substrait", "cpp/acero/user_guide", "cpp/api", "cpp/api/acero", "cpp/api/array", "cpp/api/async", "cpp/api/builder", "cpp/api/c_abi", "cpp/ap [...]
\ No newline at end of file
+Search.setIndex({"docnames": ["c_glib/arrow-cuda-glib/index", "c_glib/arrow-dataset-glib/index", "c_glib/arrow-flight-glib/index", "c_glib/arrow-flight-sql-glib/index", "c_glib/arrow-glib/index", "c_glib/gandiva-glib/index", "c_glib/index", "c_glib/parquet-glib/index", "cpp/acero/async", "cpp/acero/developer_guide", "cpp/acero/overview", "cpp/acero/substrait", "cpp/acero/user_guide", "cpp/api", "cpp/api/acero", "cpp/api/array", "cpp/api/async", "cpp/api/builder", "cpp/api/c_abi", "cpp/ap [...]
\ No newline at end of file