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The following commit(s) were added to refs/heads/asf-site by this push:
new a5fd29bcb2a Updating dev docs (build nightly-tests-2025-08-17-0)
a5fd29bcb2a is described below
commit a5fd29bcb2aeb26f4354f4d5d4fe77fd1769751b
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Mon Aug 18 00:38:17 2025 +0000
Updating dev docs (build nightly-tests-2025-08-17-0)
---
docs/dev/python/data.html | 46 +++++------
docs/dev/python/dataset.html | 136 ++++++++++++++++----------------
docs/dev/python/getstarted.html | 2 +-
docs/dev/python/memory.html | 6 +-
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 | 4 +-
docs/dev/r/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
11 files changed, 121 insertions(+), 121 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index c179e4342fd..0aeed20bb17 100644
--- a/docs/dev/python/data.html
+++ b/docs/dev/python/data.html
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<p>… and infers the dataset’s schema (by default from the first file):</p>
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</pre></div>
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</section>
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</pre></div>
</div>
</section>
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class="o">.</span><span class="n">to_pandas</span><span class="p">()</span>
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<span class="go"> a b</span>
-<span class="go">0 0 0.135526</span>
-<span class="go">1 1 1.261177</span>
-<span class="go">2 2 -0.355653</span>
-<span class="go">3 3 -1.300869</span>
-<span class="go">4 4 -1.610976</span>
-<span class="go">5 5 -0.482022</span>
-<span class="go">6 6 -0.474866</span>
-<span class="go">7 7 1.086092</span>
-<span class="go">8 8 -1.146700</span>
-<span class="go">9 9 0.943495</span>
+<span class="go">0 0 -0.590020</span>
+<span class="go">1 1 1.174519</span>
+<span class="go">2 2 -1.906856</span>
+<span class="go">3 3 -0.832979</span>
+<span class="go">4 4 -0.063092</span>
+<span class="go">5 5 -2.131536</span>
+<span class="go">6 6 1.776641</span>
+<span class="go">7 7 0.152724</span>
+<span class="go">8 8 -1.710644</span>
+<span class="go">9 9 -0.304398</span>
</pre></div>
</div>
<p>With the <code class="docutils literal notranslate"><span
class="pre">filter</span></code> keyword, rows which do not match the filter
predicate will
@@ -1696,18 +1696,18 @@ 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 [...]
<span class="gh">Out[24]: </span>
<span class="go"> a b c</span>
-<span class="go">0 7 1.086092 2</span>
-<span class="go">1 8 -1.146700 1</span>
-<span class="go">2 9 0.943495 2</span>
+<span class="go">0 7 0.152724 2</span>
+<span class="go">1 8 -1.710644 1</span>
+<span class="go">2 9 -0.304398 2</span>
<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>
-<span class="go">0 1 1.261177 2</span>
-<span class="go">1 3 -1.300869 2</span>
-<span class="go">2 5 -0.482022 2</span>
-<span class="go">3 7 1.086092 2</span>
-<span class="go">4 9 0.943495 2</span>
+<span class="go">0 1 1.174519 2</span>
+<span class="go">1 3 -0.832979 2</span>
+<span class="go">2 5 -2.131536 2</span>
+<span class="go">3 7 0.152724 2</span>
+<span class="go">4 9 -0.304398 2</span>
</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
@@ -1752,11 +1752,11 @@ 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>
<span class="gh">Out[30]: </span>
<span class="go"> a_renamed b_as_float32 c_1</span>
-<span class="go">0 0 0.135526 True</span>
-<span class="go">1 1 1.261177 False</span>
-<span class="go">2 2 -0.355653 True</span>
-<span class="go">3 3 -1.300869 False</span>
-<span class="go">4 4 -1.610976 True</span>
+<span class="go">0 0 -0.590020 True</span>
+<span class="go">1 1 1.174519 False</span>
+<span class="go">2 2 -1.906856 True</span>
+<span class="go">3 3 -0.832979 False</span>
+<span class="go">4 4 -0.063092 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1770,11 +1770,11 @@ 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>
<span class="go"> a b c b_large</span>
-<span class="go">0 0 0.135526 1 False</span>
-<span class="go">1 1 1.261177 2 True</span>
-<span class="go">2 2 -0.355653 1 False</span>
-<span class="go">3 3 -1.300869 2 False</span>
-<span class="go">4 4 -1.610976 1 False</span>
+<span class="go">0 0 -0.590020 1 False</span>
+<span class="go">1 1 1.174519 2 True</span>
+<span class="go">2 2 -1.906856 1 False</span>
+<span class="go">3 3 -0.832979 2 False</span>
+<span class="go">4 4 -0.063092 1 False</span>
</pre></div>
</div>
</section>
@@ -1827,8 +1827,8 @@ 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>
-<span
class="go">['parquet_dataset_partitioned/part=a/88623054dfed41899dbb60239b11ed94-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/88623054dfed41899dbb60239b11ed94-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/07c6474b45424e478f23a07f808ee70f-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/07c6474b45424e478f23a07f808ee70f-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1836,9 +1836,9 @@ 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>
-<span class="go">0 0 0.010924 1 a</span>
-<span class="go">1 1 -0.928104 2 a</span>
-<span class="go">2 2 -1.476091 1 a</span>
+<span class="go">0 0 -2.728951 1 a</span>
+<span class="go">1 1 0.698277 2 a</span>
+<span class="go">2 2 0.295373 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1846,11 +1846,11 @@ 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>
-<span class="go">0 5 -0.816079 2 b</span>
-<span class="go">1 6 -0.836481 1 b</span>
-<span class="go">2 7 -1.749659 2 b</span>
-<span class="go">3 8 -0.154157 1 b</span>
-<span class="go">4 9 -0.203584 2 b</span>
+<span class="go">0 5 0.618681 2 b</span>
+<span class="go">1 6 1.443237 1 b</span>
+<span class="go">2 7 0.686447 2 b</span>
+<span class="go">3 8 -1.443182 1 b</span>
+<span class="go">4 9 -1.455151 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -1982,19 +1982,19 @@ 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>
-<span class="go">0 2018 0 -1.961877</span>
-<span class="go">1 2018 1 2.016109</span>
-<span class="go">2 2018 2 0.135842</span>
-<span class="go">3 2019 0 -1.961877</span>
-<span class="go">4 2019 1 2.016109</span>
-<span class="go">5 2019 2 0.135842</span>
+<span class="go">0 2018 0 -0.214176</span>
+<span class="go">1 2018 1 -2.079007</span>
+<span class="go">2 2018 2 -0.026262</span>
+<span class="go">3 2019 0 -0.214176</span>
+<span class="go">4 2019 1 -2.079007</span>
+<span class="go">5 2019 2 -0.026262</span>
<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>
-<span class="go">0 2019 0 -1.961877</span>
-<span class="go">1 2019 1 2.016109</span>
-<span class="go">2 2019 2 0.135842</span>
+<span class="go">0 2019 0 -0.214176</span>
+<span class="go">1 2019 1 -2.079007</span>
+<span class="go">2 2019 2 -0.026262</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2246,7 +2246,7 @@ 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=816 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7fcfa0d790d0></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f5f117e09a0></span>
<span class="go"> created_by: parquet-cpp-arrow version 22.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
@@ -2255,7 +2255,7 @@ 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=818 bytes</span>
-<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7fcfa37c8310></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7f5f117be7a0></span>
<span class="go"> created_by: parquet-cpp-arrow version 22.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
diff --git a/docs/dev/python/getstarted.html b/docs/dev/python/getstarted.html
index 4939cf68190..0d5fbf40c8e 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1597,7 +1597,7 @@ 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>
<span class="gh">Out[12]: </span>
-<span class="go"><pyarrow.lib.StructArray object at
0x7fcf710a5cc0></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7f5ee14e7940></span>
<span class="go">-- is_valid: all not null</span>
<span class="go">-- child 0 type: int16</span>
<span class="go"> [</span>
diff --git a/docs/dev/python/memory.html b/docs/dev/python/memory.html
index 4ab07876cd7..7336221488c 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1546,7 +1546,7 @@ a bytes object:</p>
<span class="gp">In [3]: </span><span class="n">buf</span> <span
class="o">=</span> <span class="n">pa</span><span class="o">.</span><span
class="n">py_buffer</span><span class="p">(</span><span
class="n">data</span><span class="p">)</span>
<span class="gp">In [4]: </span><span class="n">buf</span>
-<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7fcf6d2bf650 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7f5edac3ea90 size=26 is_cpu=True is_mutable=False></span>
<span class="gp">In [5]: </span><span class="n">buf</span><span
class="o">.</span><span class="n">size</span>
<span class="gh">Out[5]: </span><span class="go">26</span>
@@ -1559,7 +1559,7 @@ 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
required, and such conversions are zero-copy:</p>
<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
0x7fcf6fba1300></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7f5edaeb9840></span>
</pre></div>
</div>
<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
@@ -1758,7 +1758,7 @@ 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>
<span class="gp">In [33]: </span><span class="nb">print</span><span
class="p">(</span><span class="n">buf</span><span class="p">)</span>
-<span class="go"><pyarrow.Buffer address=0x7fd00afde000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7f5f7bb6f000 size=4 is_cpu=True
is_mutable=False></span>
<span class="gp">In [34]: </span><span class="n">buf</span><span
class="o">.</span><span class="n">to_pybytes</span><span class="p">()</span>
<span class="gh">Out[34]: </span><span class="go">b'some'</span>
diff --git a/docs/dev/python/pandas.html b/docs/dev/python/pandas.html
index f9053009cbd..d93e94ab3a5 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1720,7 +1720,7 @@ same categories of the Pandas DataFrame.</p>
<span class="gp">In [10]: </span><span class="n">chunk</span><span
class="o">.</span><span class="n">dictionary</span>
<span class="gh">Out[10]: </span>
-<span class="go"><pyarrow.lib.StringArray object at
0x7fcfee5755a0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7f5ed856fd60></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1729,7 +1729,7 @@ same categories of the Pandas DataFrame.</p>
<span class="gp">In [11]: </span><span class="n">chunk</span><span
class="o">.</span><span class="n">indices</span>
<span class="gh">Out[11]: </span>
-<span class="go"><pyarrow.lib.Int8Array object at 0x7fcfee574d60></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7f5ed856fd00></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1855,7 +1855,7 @@ converted to an Arrow <code class="docutils literal
notranslate"><span class="pr
<span class="gp">In [33]: </span><span class="n">arr</span>
<span class="gh">Out[33]: </span>
-<span class="go"><pyarrow.lib.Time64Array object at
0x7fcfee5776a0></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7f5f5e741de0></span>
<span class="go">[</span>
<span class="go"> 01:01:01.000000,</span>
<span class="go"> 02:02:02.000000</span>
diff --git a/docs/dev/python/parquet.html b/docs/dev/python/parquet.html
index ae9bce1df3b..3c1609cc18d 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1691,7 +1691,7 @@ 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>
-<span class="go"><pyarrow._parquet.FileMetaData object at
0x7fcfdf47d210></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f5f5e74d210></span>
<span class="go"> created_by: parquet-cpp-arrow version 22.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1701,7 +1701,7 @@ 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>
-<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7fcfee43d500></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7f5f5e607280></span>
<span class="go">required group field_id=-1 schema {</span>
<span class="go"> optional double field_id=-1 one;</span>
<span class="go"> optional binary field_id=-1 two (String);</span>
@@ -1759,7 +1759,7 @@ concatenate them into a single table. You can read
individual row groups with
<span class="gp">In [30]: </span><span class="n">metadata</span>
<span class="gh">Out[30]: </span>
-<span class="go"><pyarrow._parquet.FileMetaData object at
0x7fcfee45a2f0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7f5f5e628810></span>
<span class="go"> created_by: parquet-cpp-arrow version 22.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1773,7 +1773,7 @@ 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>
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="gp">In [31]: </span><span
class="n">metadata</span><span class="o">.</span><span
class="n">row_group</span><span class="p">(</span><span
class="mi">0</span><span class="p">)</span>
<span class="gh">Out[31]: </span>
-<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7fcf6d334630></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7f5f5e628fe0></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1781,7 +1781,7 @@ such as the row groups and column chunk metadata and
statistics:</p>
<span class="gp">In [32]: </span><span class="n">metadata</span><span
class="o">.</span><span class="n">row_group</span><span class="p">(</span><span
class="mi">0</span><span class="p">)</span><span class="o">.</span><span
class="n">column</span><span class="p">(</span><span class="mi">0</span><span
class="p">)</span>
<span class="gh">Out[32]: </span>
-<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7fcfee45aed0></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7f5f5e6292b0></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1789,7 +1789,7 @@ such as the row groups and column chunk metadata and
statistics:</p>
<span class="go"> path_in_schema: one</span>
<span class="go"> is_stats_set: True</span>
<span class="go"> statistics:</span>
-<span class="go"> <pyarrow._parquet.Statistics object at
0x7fcfee45af70></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7f5f5e629350></span>
<span class="go"> has_min_max: True</span>
<span class="go"> min: -1.0</span>
<span class="go"> max: 2.5</span>
diff --git a/docs/dev/r/articles/data_wrangling.html
b/docs/dev/r/articles/data_wrangling.html
index 3e8cc89dd45..ea0dad1e948 100644
--- a/docs/dev/r/articles/data_wrangling.html
+++ b/docs/dev/r/articles/data_wrangling.html
@@ -409,18 +409,18 @@ 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> R4-P17
96 <span style="color: #BB0000;">NA</span> none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> Lobot
175 79 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> Ackbar
180 83 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> Nien Nunb
160 68 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> Sebulba
112 40 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> Bib Fortuna
180 <span style="color: #BB0000;">NA</span> none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> Ayla Secura
178 55 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> Ratts Tyerel
79 15 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> Dud Bolt
94 45 none </span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">10</span> Gasgano
122 <span style="color: #BB0000;">NA</span> 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> <span
style="color: #949494;">"</span>Yoda<span style="color: #949494;">"</span>
66 17 white </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 2</span> <span
style="color: #949494;">"</span>Leia Organa<span style="color:
#949494;">"</span> 150 49 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 3</span> <span
style="color: #949494;">"</span>Beru Whitesun Lars<span style="color:
#949494;">"</span> 165 75 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 4</span> <span
style="color: #949494;">"</span>Wedge Antilles<span style="color:
#949494;">"</span> 170 77 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 5</span> <span
style="color: #949494;">"</span>Wicket Systri Warrick<span style="color:
#949494;">"</span> 88 20 brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 6</span> <span
style="color: #949494;">"</span>Cord\u00e9<span style="color:
#949494;">"</span> 157 <span style="color: #BB0000;">NA</span>
brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 7</span> <span
style="color: #949494;">"</span>Dorm\u00e9<span style="color:
#949494;">"</span> 165 <span style="color: #BB0000;">NA</span>
brown </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 8</span> <span
style="color: #949494;">"</span>R4-P17<span style="color: #949494;">"</span>
96 <span style="color: #BB0000;">NA</span> none
</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;"> 9</span> <span
style="color: #949494;">"</span>Lobot<span style="color: #949494;">"</span>
175 79 none </span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">10</span> <span
style="color: #949494;">"</span>Ackbar<span style="color: #949494;">"</span>
180 83 none </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 f98a3eca2ae..03a281b63ab 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: 2025-08-16T01:16Z
+last_built: 2025-08-17T01:24Z
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 88f527d7791..5a4814efb3d 100644
--- a/docs/dev/r/reference/to_duckdb.html
+++ b/docs/dev/r/reference/to_duckdb.html
@@ -148,8 +148,8 @@ using them.</p>
<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>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">4</span> 27.3 4 79 66 4.08 1.94 18.9 1 1 4
1</span>
+<span class="r-out co"><span class="r-pr">#></span> <span style="color:
#BCBCBC;">5</span> 19.7 6 145 175 3.62 2.77 15.5 0 1 5
6</span>
</code></pre></div>
</div>
</main><aside class="col-md-3"><nav id="toc" aria-label="Table of
contents"><h2>On this page</h2>
diff --git a/docs/dev/r/search.json b/docs/dev/r/search.json
index b5a0c856f08..bcf8054921b 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 Arrow release process see Apache Arrow
Release Management
Guide.","code":""},{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":"before-the-arrow-release-candidate-is-created","dir":"","previous_headings":"","what":"Before
the Arrow Release Candidate Is Create [...]
+[{"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 Arrow release process see Apache Arrow
Release Management
Guide.","code":""},{"path":"https://arrow.apache.org/docs/r/PACKAGING.html","id":"before-the-arrow-release-candidate-is-created","dir":"","previous_headings":"","what":"Before
the Arrow Release Candidate Is Create [...]
diff --git a/docs/dev/searchindex.js b/docs/dev/searchindex.js
index 60400ef76af..84956033d7b 100644
--- a/docs/dev/searchindex.js
+++ b/docs/dev/searchindex.js
@@ -1 +1 @@
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"c_glib/gandiva-glib/index", "c_glib/index", "c_glib/parquet-glib/index",
"cpp/acero", "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/api/compute",
"cpp/api/cuda", "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",
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