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<div class="section" id="filesystem-interface">
<span id="filesystem"></span><h1>Filesystem Interface<a class="headerlink" href="#filesystem-interface" title="Permalink to this headline"></a></h1>
<p>PyArrow comes with an abstract filesystem interface, as well as concrete
implementations for various storage types.</p>
<p>The filesystem interface provides input and output streams as well as
directory operations. A simplified view of the underlying data
storage is exposed. Data paths are represented as <em>abstract paths</em>, which
are <code class="docutils literal notranslate"><span class="pre">/</span></code>-separated, even on Windows, and shouldn’t include special path
components such as <code class="docutils literal notranslate"><span class="pre">.</span></code> and <code class="docutils literal notranslate"><span class="pre">..</span></code>. Symbolic links, if supported by the
underlying storage, are automatically dereferenced. Only basic
<a class="reference internal" href="generated/pyarrow.fs.FileStats.html#pyarrow.fs.FileStats" title="pyarrow.fs.FileStats"><code class="xref py py-class docutils literal notranslate"><span class="pre">metadata</span></code></a> about file entries, such as the file size
and modification time, is made available.</p>
<div class="section" id="types">
<h2>Types<a class="headerlink" href="#types" title="Permalink to this headline"></a></h2>
<p>The core interface is represented by the base class <a class="reference internal" href="generated/pyarrow.fs.FileSystem.html#pyarrow.fs.FileSystem" title="pyarrow.fs.FileSystem"><code class="xref py py-class docutils literal notranslate"><span class="pre">FileSystem</span></code></a>.
Concrete subclasses are available for various kinds of storage:
<a class="reference internal" href="generated/pyarrow.fs.LocalFileSystem.html#pyarrow.fs.LocalFileSystem" title="pyarrow.fs.LocalFileSystem"><code class="xref py py-class docutils literal notranslate"><span class="pre">local</span> <span class="pre">filesystem</span> <span class="pre">access</span></code></a>,
<a class="reference internal" href="generated/pyarrow.fs.HadoopFileSystem.html#pyarrow.fs.HadoopFileSystem" title="pyarrow.fs.HadoopFileSystem"><code class="xref py py-class docutils literal notranslate"><span class="pre">HDFS</span></code></a> and
<code class="xref py py-class docutils literal notranslate"><span class="pre">Amazon</span> <span class="pre">S3-compatible</span> <span class="pre">storage</span></code>.</p>
</div>
<div class="section" id="example">
<h2>Example<a class="headerlink" href="#example" title="Permalink to this headline"></a></h2>
<p>Assuming your S3 credentials are correctly configured (for example by setting
the <code class="docutils literal notranslate"><span class="pre">AWS_ACCESS_KEY_ID</span></code> and <code class="docutils literal notranslate"><span class="pre">AWS_SECRET_ACCESS_KEY</span></code> environment variables),
here is how you can read contents from a S3 bucket:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">from</span> <span class="nn">pyarrow</span> <span class="k">import</span> <span class="n">fs</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">s3</span> <span class="o">=</span> <span class="n">fs</span><span class="o">.</span><span class="n">S3FileSystem</span><span class="p">(</span><span class="n">region</span><span class="o">=</span><span class="s1">&#39;eu-west-3&#39;</span><span class="p">)</span>
<span class="go"># List all contents in a bucket, recursively</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">s3</span><span class="o">.</span><span class="n">get_target_stats</span><span class="p">(</span><span class="n">fs</span><span class="o">.</span><span class="n">FileSelector</span><span class="p">(</span><span class="s1">&#39;my-test-bucket&#39;</span><span class="p">,</span> <span class="n">recursive</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span>
<span class="go">[&lt;FileStats for &#39;my-test-bucket/File1&#39;: type=FileType.File, size=10&gt;,</span>
<span class="go"> &lt;FileStats for &#39;my-test-bucket/File5&#39;: type=FileType.File, size=10&gt;,</span>
<span class="go"> &lt;FileStats for &#39;my-test-bucket/Dir1&#39;: type=FileType.Directory&gt;,</span>
<span class="go"> &lt;FileStats for &#39;my-test-bucket/Dir2&#39;: type=FileType.Directory&gt;,</span>
<span class="go"> &lt;FileStats for &#39;my-test-bucket/EmptyDir&#39;: type=FileType.Directory&gt;,</span>
<span class="go"> &lt;FileStats for &#39;my-test-bucket/Dir1/File2&#39;: type=FileType.File, size=11&gt;,</span>
<span class="go"> &lt;FileStats for &#39;my-test-bucket/Dir1/Subdir&#39;: type=FileType.Directory&gt;,</span>
<span class="go"> &lt;FileStats for &#39;my-test-bucket/Dir2/Subdir&#39;: type=FileType.Directory&gt;,</span>
<span class="go"> &lt;FileStats for &#39;my-test-bucket/Dir2/Subdir/File3&#39;: type=FileType.File, size=10&gt;]</span>
<span class="go"># Open a file for reading and download its contents</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">f</span> <span class="o">=</span> <span class="n">s3</span><span class="o">.</span><span class="n">open_input_stream</span><span class="p">(</span><span class="s1">&#39;my-test-bucket/Dir1/File2&#39;</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">f</span><span class="o">.</span><span class="n">readall</span><span class="p">()</span>
<span class="go">b&#39;some data&#39;</span>
</pre></div>
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