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The following commit(s) were added to refs/heads/asf-site by this push:
new 64cac316197 Updating dev docs (build nightly-tests-2025-01-27-0)
64cac316197 is described below
commit 64cac3161971bb8ad8aeb78a5142a7341d2944d3
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Tue Jan 28 00:29:02 2025 +0000
Updating dev docs (build nightly-tests-2025-01-27-0)
---
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_objects.html | 6 +-
docs/dev/r/pkgdown.yml | 2 +-
docs/dev/r/search.json | 2 +-
docs/dev/searchindex.js | 2 +-
10 files changed, 110 insertions(+), 110 deletions(-)
diff --git a/docs/dev/python/data.html b/docs/dev/python/data.html
index 168616f9204..e800f95379c 100644
--- a/docs/dev/python/data.html
+++ b/docs/dev/python/data.html
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diff --git a/docs/dev/python/dataset.html b/docs/dev/python/dataset.html
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<p>In addition to searching a base directory, <a class="reference internal"
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title="pyarrow.dataset.dataset"><code class="xref py py-func docutils literal
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@@ -1640,8 +1640,8 @@ single file or a list of file paths.</p>
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</pre></div>
</div>
<p>… and infers the dataset’s schema (by default from the first file):</p>
@@ -1662,23 +1662,23 @@ this can require a lot of memory, see below on
filtering / iterative loading):</
<span class="go">c: int64</span>
<span class="gt">----</span>
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<span class="c1"># converting to pandas to see the contents of the scanned
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<span class="gh">Out[17]: </span>
<span class="go"> a b c</span>
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+<span class="go">6 6 2.647056 1</span>
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</pre></div>
</div>
</section>
@@ -1701,11 +1701,11 @@ supported; more formats are planned in the future.</p>
<span class="gp">In [21]: </span><span class="n">dataset</span><span
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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>
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</pre></div>
</div>
</section>
@@ -1737,16 +1737,16 @@ 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
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<span class="go"> a b</span>
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-<span class="go">1 1 0.107482</span>
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+<span class="go">8 8 -1.269755</span>
+<span class="go">9 9 -0.624162</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
@@ -1755,18 +1755,18 @@ 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>
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-<span class="go">1 8 -0.457515 1</span>
-<span class="go">2 9 0.561103 2</span>
+<span class="go">0 7 0.294320 2</span>
+<span class="go">1 8 -1.269755 1</span>
+<span class="go">2 9 -0.624162 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 0.107482 2</span>
-<span class="go">1 3 1.059629 2</span>
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+<span class="go">2 5 -0.997011 2</span>
+<span class="go">3 7 0.294320 2</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
@@ -1811,11 +1811,11 @@ 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>
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+<span class="go">3 3 0.126573 False</span>
+<span class="go">4 4 -0.864659 True</span>
</pre></div>
</div>
<p>The dictionary also determines the column selection (only the keys in the
@@ -1829,11 +1829,11 @@ 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>
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+<span class="go">3 3 0.126573 2 False</span>
+<span class="go">4 4 -0.864659 1 False</span>
</pre></div>
</div>
</section>
@@ -1886,8 +1886,8 @@ 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/7d7484c32c54494d8336c0e56a92ebeb-0.parquet',</span>
-<span class="go">
'parquet_dataset_partitioned/part=b/7d7484c32c54494d8336c0e56a92ebeb-0.parquet']</span>
+<span
class="go">['parquet_dataset_partitioned/part=a/90d18cce830b4a408238dcc18b4702b4-0.parquet',</span>
+<span class="go">
'parquet_dataset_partitioned/part=b/90d18cce830b4a408238dcc18b4702b4-0.parquet']</span>
</pre></div>
</div>
<p>Although the partition fields are not included in the actual Parquet files,
@@ -1895,9 +1895,9 @@ 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 -1.538497 1 a</span>
-<span class="go">1 1 -1.378057 2 a</span>
-<span class="go">2 2 -0.104371 1 a</span>
+<span class="go">0 0 -0.516109 1 a</span>
+<span class="go">1 1 -0.023655 2 a</span>
+<span class="go">2 2 0.408589 1 a</span>
</pre></div>
</div>
<p>We can now filter on the partition keys, which avoids loading files
@@ -1905,11 +1905,11 @@ 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 -0.512978 2 b</span>
-<span class="go">1 6 -1.401857 1 b</span>
-<span class="go">2 7 -0.761893 2 b</span>
-<span class="go">3 8 -1.601532 1 b</span>
-<span class="go">4 9 1.468955 2 b</span>
+<span class="go">0 5 -0.265055 2 b</span>
+<span class="go">1 6 0.021785 1 b</span>
+<span class="go">2 7 1.113184 2 b</span>
+<span class="go">3 8 -0.063891 1 b</span>
+<span class="go">4 9 0.910803 2 b</span>
</pre></div>
</div>
<section id="different-partitioning-schemes">
@@ -2041,19 +2041,19 @@ 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 0.336085</span>
-<span class="go">1 2018 1 -0.659798</span>
-<span class="go">2 2018 2 1.422074</span>
-<span class="go">3 2019 0 0.336085</span>
-<span class="go">4 2019 1 -0.659798</span>
-<span class="go">5 2019 2 1.422074</span>
+<span class="go">0 2018 0 -0.569488</span>
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+<span class="go">2 2018 2 1.716515</span>
+<span class="go">3 2019 0 -0.569488</span>
+<span class="go">4 2019 1 -0.536003</span>
+<span class="go">5 2019 2 1.716515</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 0.336085</span>
-<span class="go">1 2019 1 -0.659798</span>
-<span class="go">2 2019 2 1.422074</span>
+<span class="go">0 2019 0 -0.569488</span>
+<span class="go">1 2019 1 -0.536003</span>
+<span class="go">2 2019 2 1.716515</span>
</pre></div>
</div>
<p>Another benefit of manually listing the files is that the order of the files
@@ -2305,7 +2305,7 @@ 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
0x7fc450c88a40></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7ffa1b6ee2a0></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 2</span>
<span class="go"> num_rows: 5</span>
@@ -2314,7 +2314,7 @@ 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
0x7fc450ed4db0></span>
+<span class="go">metadata=<pyarrow._parquet.FileMetaData object at
0x7ffa1b6d28e0></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-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 2a4948d3009..f3ae593cfca 100644
--- a/docs/dev/python/getstarted.html
+++ b/docs/dev/python/getstarted.html
@@ -1656,7 +1656,7 @@ 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
0x7fc4219fafe0></span>
+<span class="go"><pyarrow.lib.StructArray object at
0x7ff9f0e31f60></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 8b81f455eea..b62081aa901 100644
--- a/docs/dev/python/memory.html
+++ b/docs/dev/python/memory.html
@@ -1605,7 +1605,7 @@ 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=0x7fc4204e8d10 size=26 is_cpu=True is_mutable=False></span>
+<span class="gh">Out[4]: </span><span class="go"><pyarrow.Buffer
address=0x7ff9f0d02d10 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>
@@ -1618,7 +1618,7 @@ 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
0x7fc42181abc0></span>
+<span class="gh">Out[6]: </span><span class="go"><memory at
0x7ff9f0e92740></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
@@ -1817,7 +1817,7 @@ 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=0x7fc4b723f000 size=4 is_cpu=True
is_mutable=False></span>
+<span class="go"><pyarrow.Buffer address=0x7ffa81a20000 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 e969c5a95ce..06fc01b78ad 100644
--- a/docs/dev/python/pandas.html
+++ b/docs/dev/python/pandas.html
@@ -1779,7 +1779,7 @@ 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
0x7fc49bd349a0></span>
+<span class="go"><pyarrow.lib.StringArray object at
0x7ff9f243eec0></span>
<span class="go">[</span>
<span class="go"> "a",</span>
<span class="go"> "b",</span>
@@ -1788,7 +1788,7 @@ 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 0x7fc49bd348e0></span>
+<span class="go"><pyarrow.lib.Int8Array object at 0x7ff9ee64ac20></span>
<span class="go">[</span>
<span class="go"> 0,</span>
<span class="go"> 1,</span>
@@ -1914,7 +1914,7 @@ 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
0x7fc49bd36fe0></span>
+<span class="go"><pyarrow.lib.Time64Array object at
0x7ff9ee66fee0></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 65b647b0658..4a2f0de87f3 100644
--- a/docs/dev/python/parquet.html
+++ b/docs/dev/python/parquet.html
@@ -1750,7 +1750,7 @@ 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
0x7fc4203b21b0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7ff9ee6a4d10></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1760,7 +1760,7 @@ 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
0x7fc42038be40></span>
+<span class="go"><pyarrow._parquet.ParquetSchema object at
0x7ff9f120d640></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>
@@ -1818,7 +1818,7 @@ 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
0x7fc422cb9da0></span>
+<span class="go"><pyarrow._parquet.FileMetaData object at
0x7ff9ee6a5a80></span>
<span class="go"> created_by: parquet-cpp-arrow version 20.0.0-SNAPSHOT</span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
@@ -1832,7 +1832,7 @@ 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
0x7fc4219d9e90></span>
+<span class="go"><pyarrow._parquet.RowGroupMetaData object at
0x7ff9f0f7f6f0></span>
<span class="go"> num_columns: 4</span>
<span class="go"> num_rows: 3</span>
<span class="go"> total_byte_size: 282</span>
@@ -1840,7 +1840,7 @@ 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
0x7fc49bde3ab0></span>
+<span class="go"><pyarrow._parquet.ColumnChunkMetaData object at
0x7ff9f0f7df80></span>
<span class="go"> file_offset: 0</span>
<span class="go"> file_path: </span>
<span class="go"> physical_type: DOUBLE</span>
@@ -1848,7 +1848,7 @@ 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
0x7fc49bde3b00></span>
+<span class="go"> <pyarrow._parquet.Statistics object at
0x7ff9f10cb1f0></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_objects.html
b/docs/dev/r/articles/data_objects.html
index 8f08b9f876e..ac80f8dd895 100644
--- a/docs/dev/r/articles/data_objects.html
+++ b/docs/dev/r/articles/data_objects.html
@@ -704,9 +704,9 @@ following dplyr expression:</p>
<pre><code><span><span class="co">## <span style="color: #949494;"># A tibble:
6 x 3</span></span></span>
<span><span class="co">## id subset new_value</span></span>
<span><span class="co">## <span style="color: #949494; font-style:
italic;"><int></span> <span style="color: #949494; font-style:
italic;"><chr></span> <span style="color: #949494; font-style:
italic;"><dbl></span></span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">1</span> 2 a
26</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">2</span> 5 a
62</span></span>
-<span><span class="co">## <span style="color: #BCBCBC;">3</span> 6 b
115</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">1</span> 6 b
115</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">2</span> 2 a
26</span></span>
+<span><span class="co">## <span style="color: #BCBCBC;">3</span> 5 a
62</span></span>
<span><span class="co">## <span style="color: #BCBCBC;">4</span> 12 c
63</span></span>
<span><span class="co">## <span style="color: #BCBCBC;">5</span> 13 c
207</span></span>
<span><span class="co">## <span style="color: #BCBCBC;">6</span> 15 c
51</span></span></code></pre>
diff --git a/docs/dev/r/pkgdown.yml b/docs/dev/r/pkgdown.yml
index d0a157ea146..7425ea034a7 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
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+last_built: 2025-01-27T01:07Z
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article: https://arrow.apache.org/docs/r/articles
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