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<section id="bug-reports-and-feature-requests">
<span id="bug-reports"></span><h1>Bug reports and feature requests<a class="headerlink" href="#bug-reports-and-feature-requests" title="Permalink to this heading"></a></h1>
<p>Arrow relies upon user feedback to identify defects and improvement
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problems and prioritize work to improve the libraries.</p>
<section id="github-issues">
<span id="id1"></span><h2>GitHub issues<a class="headerlink" href="#github-issues" title="Permalink to this heading"></a></h2>
<p>The Arrow project uses <a class="reference external" href="https://github.com/apache/arrow/issues">GitHub issues</a>
to track issues - both bug reports and feature requests.</p>
</section>
<section id="creating-issues">
<span id="id3"></span><h2>Creating issues<a class="headerlink" href="#creating-issues" title="Permalink to this heading"></a></h2>
<p>Apache Arrow relies upon community contributions to address reported bugs and
feature requests. As with most software projects, contributor time and
resources are finite. The following guidelines aim to produce high-quality
bug reports and feature requests, enabling community contributors to respond
to more issues, faster:</p>
<section id="check-existing-issues">
<span id="id4"></span><h3>Check existing issues<a class="headerlink" href="#check-existing-issues" title="Permalink to this heading"></a></h3>
<p>Before you create a new issue, we recommend you first
<a class="reference external" href="https://github.com/apache/arrow/issues">search</a>
for unresolved existing issues identifying the same problem or feature request.</p>
</section>
<section id="issue-description">
<span id="describe-issue"></span><h3>Issue description<a class="headerlink" href="#issue-description" title="Permalink to this heading"></a></h3>
<p>A clear description of the problem or requested feature is the most important
element of any issue. An effective description helps developers understand
and efficiently engage on reported issues, and may include the following:</p>
<ul class="simple">
<li><p><strong>Clear, minimal steps to reproduce the issue, with as few non-Arrow
dependencies as possible.</strong> If there’s a problem on reading a file, try to
provide as small of an example file as possible, or code to create one.
If your bug report says “it crashes trying to read my file, but I can’t
share it with you,” it’s really hard for us to debug.</p></li>
<li><p>Any relevant operating system, language, and library version information</p></li>
<li><p>If it isn’t obvious, clearly state the expected behavior and what actually
happened.</p></li>
<li><p>Avoid overloading a single issue with multiple problems or feature requests.
Each issue should deal with a single bug or feature.</p></li>
</ul>
<p>If a developer can’t get a failing unit test, they won’t be able to know that
the issue has been identified, and they won’t know when it has been fixed.
Try to anticipate the questions you might be asked by someone working to
understand the issue and provide those supporting details up front.</p>
<p>Examples of good bug reports are found below:</p>
<div class="sd-tab-set docutils">
<input checked="checked" id="sd-tab-item-0" name="sd-tab-set-0" type="radio">
</input><label class="sd-tab-label" for="sd-tab-item-0">
Python</label><div class="sd-tab-content docutils">
<p>The <code class="docutils literal notranslate"><span class="pre">print</span></code> method of a timestamp with timezone errors:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
<span class="n">a</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">0</span><span class="p">],</span> <span class="n">pa</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(</span><span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">tz</span><span class="o">=</span><span class="s1">&#39;+02:00&#39;</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="n">a</span><span class="p">)</span> <span class="c1"># representation not correct?</span>
<span class="c1"># &lt;pyarrow.lib.TimestampArray object at 0x7f834c7cb9a8&gt;</span>
<span class="c1"># [</span>
<span class="c1"># 1970-01-01 00:00:00</span>
<span class="c1"># ]</span>
<span class="nb">print</span><span class="p">(</span><span class="n">a</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="c1">#Traceback (most recent call last):</span>
<span class="c1"># File &quot;&lt;stdin&gt;&quot;, line 1, in &lt;module&gt;</span>
<span class="c1"># File &quot;pyarrow/scalar.pxi&quot;, line 80, in pyarrow.lib.Scalar.__repr__</span>
<span class="c1"># File &quot;pyarrow/scalar.pxi&quot;, line 463, in pyarrow.lib.TimestampScalar.as_py</span>
<span class="c1"># File &quot;pyarrow/scalar.pxi&quot;, line 393, in pyarrow.lib._datetime_from_int</span>
<span class="c1">#ValueError: fromutc: dt.tzinfo is not self</span>
</pre></div>
</div>
</div>
<input id="sd-tab-item-1" name="sd-tab-set-0" type="radio">
</input><label class="sd-tab-label" for="sd-tab-item-1">
R</label><div class="sd-tab-content docutils">
<p>Error when reading a CSV file with <code class="docutils literal notranslate"><span class="pre">col_types</span></code> option <code class="docutils literal notranslate"><span class="pre">&quot;T&quot;</span></code> or <code class="docutils literal notranslate"><span class="pre">&quot;t&quot;</span></code> when source data is in millisecond precision:</p>
<div class="highlight-R notranslate"><div class="highlight"><pre><span></span><span class="nf">library</span><span class="p">(</span><span class="n">arrow</span><span class="p">,</span><span class="w"> </span><span class="n">warn.conflicts</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="kc">FALSE</span><span class="p">)</span>
<span class="n">tf</span><span class="w"> </span><span class="o">&lt;-</span><span class="w"> </span><span class="nf">tempfile</span><span class="p">()</span>
<span class="nf">write.csv</span><span class="p">(</span><span class="nf">data.frame</span><span class="p">(</span><span class="n">x</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">&#39;2018-10-07 19:04:05.005&#39;</span><span class="p">),</span><span class="w"> </span><span class="n">tf</span><span class="p">,</span><span class="w"> </span><span class="n">row.names</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="kc">FALSE</span><span class="p">)</span>
<span class="c1"># successfully read in file</span>
<span class="nf">read_csv_arrow</span><span class="p">(</span><span class="n">tf</span><span class="p">,</span><span class="w"> </span><span class="n">as_data_frame</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="kc">TRUE</span><span class="p">)</span>
<span class="c1">#&gt; # A tibble: 1 × 1</span>
<span class="c1">#&gt; x</span>
<span class="c1">#&gt; &lt;dttm&gt;</span>
<span class="c1">#&gt; 1 2018-10-07 20:04:05</span>
<span class="c1"># the unit here is seconds - doesn&#39;t work</span>
<span class="nf">read_csv_arrow</span><span class="p">(</span>
<span class="w"> </span><span class="n">tf</span><span class="p">,</span>
<span class="w"> </span><span class="n">col_names</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">&quot;x&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="n">col_types</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">&quot;T&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="n">skip</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">1</span>
<span class="p">)</span>
<span class="c1">#&gt; Error in `handle_csv_read_error()`:</span>
<span class="c1">#&gt; ! Invalid: In CSV column #0: CSV conversion error to timestamp[s]: invalid value &#39;2018-10-07 19:04:05.005&#39;</span>
<span class="c1"># the unit here is ms - doesn&#39;t work</span>
<span class="nf">read_csv_arrow</span><span class="p">(</span>
<span class="w"> </span><span class="n">tf</span><span class="p">,</span>
<span class="w"> </span><span class="n">col_names</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">&quot;x&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="n">col_types</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">&quot;t&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="n">skip</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">1</span>
<span class="p">)</span>
<span class="c1">#&gt; Error in `handle_csv_read_error()`:</span>
<span class="c1">#&gt; ! Invalid: In CSV column #0: CSV conversion error to time32[ms]: invalid value &#39;2018-10-07 19:04:05.005&#39;</span>
<span class="c1"># the unit here is inferred as ns - does work!</span>
<span class="nf">read_csv_arrow</span><span class="p">(</span>
<span class="w"> </span><span class="n">tf</span><span class="p">,</span>
<span class="w"> </span><span class="n">col_names</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">&quot;x&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="n">col_types</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">&quot;?&quot;</span><span class="p">,</span>
<span class="w"> </span><span class="n">skip</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="m">1</span><span class="p">,</span>
<span class="w"> </span><span class="n">as_data_frame</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="kc">FALSE</span>
<span class="p">)</span>
<span class="c1">#&gt; Table</span>
<span class="c1">#&gt; 1 rows x 1 columns</span>
<span class="c1">#&gt; $x &lt;timestamp[ns]&gt;</span>
</pre></div>
</div>
</div>
</div>
<p>Other resources for producing useful bug reports:</p>
<ul class="simple">
<li><p><a class="reference external" href="https://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports">Python: Craft Minimal Bug Reports by Matthew Rocklin</a></p></li>
<li><p><a class="reference external" href="https://www.tidyverse.org/help/#reprex">R: Tidyverse: Make a reprex</a></p></li>
<li><p><a class="reference external" href="https://reprex.tidyverse.org/articles/reprex-dos-and-donts.html">R: Tidyverse’s Reprex do’s and don’ts</a></p></li>
<li><p><a class="reference external" href="https://developer.mozilla.org/en-US/docs/Mozilla/QA/Bug_writing_guidelines">Mozilla’s bug-reporting guidelines</a></p></li>
</ul>
</section>
<section id="identify-component">
<span id="identify-arrow-component"></span><h3>Identify Arrow component<a class="headerlink" href="#identify-component" title="Permalink to this heading"></a></h3>
<p>Arrow is an expansive project supporting many languages and organized into a
number of components. Identifying the affected component(s) helps new issues
get attention from appropriate contributors.</p>
<ul class="simple">
<li><p><strong>Component label</strong>, which can be added by a committer of the Apache Arrow
project, is used to indicate the area of the project that your issue pertains
to (for example “Component: Python” or “Component: C++”).</p></li>
<li><p>Prefix the issue title with the component name in brackets, for example
<code class="docutils literal notranslate"><span class="pre">[Python]</span> <span class="pre">issue</span> <span class="pre">summary</span></code> ; this helps when navigating lists of open issues,
and it also makes our changelogs more readable. Most prefixes are exactly the
same as the <strong>Component</strong> name, with the following exceptions:</p>
<ul>
<li><p><strong>Component:</strong> Continuous Integration — <strong>Summary prefix:</strong> [CI]</p></li>
<li><p><strong>Component:</strong> Developer Tools — <strong>Summary prefix:</strong> [Dev]</p></li>
<li><p><strong>Component:</strong> Documentation — <strong>Summary prefix:</strong> [Docs]</p></li>
</ul>
</li>
</ul>
</section>
</section>
<section id="issue-lifecycle">
<span id="id5"></span><h2>Issue lifecycle<a class="headerlink" href="#issue-lifecycle" title="Permalink to this heading"></a></h2>
<p>Both bug reports and feature requests follow a defined lifecycle. If an issue
is currently worked on, it should have a developer assigned. When an issue has
reached a terminal status, it is closed with one of two outcomes:</p>
<ul>
<li><p><strong>Closed as completed</strong> - indicates the issue is complete; the PR that
resolved the issue should have been automatically linked by GitHub
(assuming the PR correctly mentioned the issue number).</p>
<p>If you are merging a PR it is good practice to add a comment
to the linked issue about which PR is resolving it. This way
GitHub crates a notification for anybody that collaborated on
the issue.</p>
</li>
<li><p><strong>closed as not planned</strong> - indicates the issue is closed and should
not receive any further updates, but <em>without</em> action being taken.</p></li>
</ul>
<section id="issue-assignment">
<span id="id6"></span><h3>Issue assignment<a class="headerlink" href="#issue-assignment" title="Permalink to this heading"></a></h3>
<p>Assignment signals commitment to work on an issue, and contributors should
self-assign issues when that work starts. Anyone can now self-assign issues
by commenting <code class="docutils literal notranslate"><span class="pre">take</span></code>.</p>
</section>
</section>
</section>
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