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| <h1 class="title">Binary File Data Source</h1> |
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| <p>Since Spark 3.0, Spark supports binary file data source, |
| which reads binary files and converts each file into a single record that contains the raw content |
| and metadata of the file. |
| It produces a DataFrame with the following columns and possibly partition columns:</p> |
| <ul> |
| <li><code class="highlighter-rouge">path</code>: StringType</li> |
| <li><code class="highlighter-rouge">modificationTime</code>: TimestampType</li> |
| <li><code class="highlighter-rouge">length</code>: LongType</li> |
| <li><code class="highlighter-rouge">content</code>: BinaryType</li> |
| </ul> |
| |
| <p>To read whole binary files, you need to specify the data source <code class="highlighter-rouge">format</code> as <code class="highlighter-rouge">binaryFile</code>. |
| To load files with paths matching a given glob pattern while keeping the behavior of partition discovery, |
| you can use the general data source option <code class="highlighter-rouge">pathGlobFilter</code>. |
| For example, the following code reads all PNG files from the input directory:</p> |
| |
| <div class="codetabs"> |
| <div data-lang="scala"> |
| |
| <figure class="highlight"><pre><code class="language-scala" data-lang="scala"><span class="nv">spark</span><span class="o">.</span><span class="py">read</span><span class="o">.</span><span class="py">format</span><span class="o">(</span><span class="s">"binaryFile"</span><span class="o">).</span><span class="py">option</span><span class="o">(</span><span class="s">"pathGlobFilter"</span><span class="o">,</span> <span class="s">"*.png"</span><span class="o">).</span><span class="py">load</span><span class="o">(</span><span class="s">"/path/to/data"</span><span class="o">)</span></code></pre></figure> |
| |
| </div> |
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| <div data-lang="java"> |
| |
| <figure class="highlight"><pre><code class="language-java" data-lang="java"><span class="n">spark</span><span class="o">.</span><span class="na">read</span><span class="o">().</span><span class="na">format</span><span class="o">(</span><span class="s">"binaryFile"</span><span class="o">).</span><span class="na">option</span><span class="o">(</span><span class="s">"pathGlobFilter"</span><span class="o">,</span> <span class="s">"*.png"</span><span class="o">).</span><span class="na">load</span><span class="o">(</span><span class="s">"/path/to/data"</span><span class="o">);</span></code></pre></figure> |
| |
| </div> |
| <div data-lang="python"> |
| |
| <figure class="highlight"><pre><code class="language-python" data-lang="python"><span class="n">spark</span><span class="o">.</span><span class="n">read</span><span class="o">.</span><span class="nb">format</span><span class="p">(</span><span class="s">"binaryFile"</span><span class="p">)</span><span class="o">.</span><span class="n">option</span><span class="p">(</span><span class="s">"pathGlobFilter"</span><span class="p">,</span> <span class="s">"*.png"</span><span class="p">)</span><span class="o">.</span><span class="n">load</span><span class="p">(</span><span class="s">"/path/to/data"</span><span class="p">)</span></code></pre></figure> |
| |
| </div> |
| <div data-lang="r"> |
| |
| <figure class="highlight"><pre><code class="language-r" data-lang="r"><span class="n">read.df</span><span class="p">(</span><span class="s2">"/path/to/data"</span><span class="p">,</span><span class="w"> </span><span class="n">source</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"binaryFile"</span><span class="p">,</span><span class="w"> </span><span class="n">pathGlobFilter</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s2">"*.png"</span><span class="p">)</span></code></pre></figure> |
| |
| </div> |
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| <p>Binary file data source does not support writing a DataFrame back to the original files.</p> |
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