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| <div class="section" id="pyspark-streaming-streamingcontext-textfilestream"> |
| <h1>pyspark.streaming.StreamingContext.textFileStream<a class="headerlink" href="#pyspark-streaming-streamingcontext-textfilestream" title="Permalink to this headline">¶</a></h1> |
| <dl class="py method"> |
| <dt id="pyspark.streaming.StreamingContext.textFileStream"> |
| <code class="sig-prename descclassname">StreamingContext.</code><code class="sig-name descname">textFileStream</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">directory</span><span class="p">:</span> <span class="n">str</span></em><span class="sig-paren">)</span> → pyspark.streaming.dstream.DStream<span class="p">[</span>str<span class="p">]</span><a class="reference internal" href="../../_modules/pyspark/streaming/context.html#StreamingContext.textFileStream"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.streaming.StreamingContext.textFileStream" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Create an input stream that monitors a Hadoop-compatible file system |
| for new files and reads them as text files. Files must be written to the |
| monitored directory by “moving” them from another location within the same |
| file system. File names starting with . are ignored. |
| The text files must be encoded as UTF-8.</p> |
| </dd></dl> |
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