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<h1>Source code for pyspark.streaming.flume</h1><div class="highlight"><pre>
<span class="c">#</span>
<span class="c"># Licensed to the Apache Software Foundation (ASF) under one or more</span>
<span class="c"># contributor license agreements. See the NOTICE file distributed with</span>
<span class="c"># this work for additional information regarding copyright ownership.</span>
<span class="c"># The ASF licenses this file to You under the Apache License, Version 2.0</span>
<span class="c"># (the "License"); you may not use this file except in compliance with</span>
<span class="c"># the License. You may obtain a copy of the License at</span>
<span class="c">#</span>
<span class="c"># http://www.apache.org/licenses/LICENSE-2.0</span>
<span class="c">#</span>
<span class="c"># Unless required by applicable law or agreed to in writing, software</span>
<span class="c"># distributed under the License is distributed on an "AS IS" BASIS,</span>
<span class="c"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
<span class="c"># See the License for the specific language governing permissions and</span>
<span class="c"># limitations under the License.</span>
<span class="c">#</span>
<span class="kn">import</span> <span class="nn">sys</span>
<span class="k">if</span> <span class="n">sys</span><span class="o">.</span><span class="n">version</span> <span class="o">>=</span> <span class="s">"3"</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">io</span> <span class="kn">import</span> <span class="n">BytesIO</span>
<span class="k">else</span><span class="p">:</span>
<span class="kn">from</span> <span class="nn">StringIO</span> <span class="kn">import</span> <span class="n">StringIO</span>
<span class="kn">from</span> <span class="nn">py4j.java_gateway</span> <span class="kn">import</span> <span class="n">Py4JJavaError</span>
<span class="kn">from</span> <span class="nn">pyspark.storagelevel</span> <span class="kn">import</span> <span class="n">StorageLevel</span>
<span class="kn">from</span> <span class="nn">pyspark.serializers</span> <span class="kn">import</span> <span class="n">PairDeserializer</span><span class="p">,</span> <span class="n">NoOpSerializer</span><span class="p">,</span> <span class="n">UTF8Deserializer</span><span class="p">,</span> <span class="n">read_int</span>
<span class="kn">from</span> <span class="nn">pyspark.streaming</span> <span class="kn">import</span> <span class="n">DStream</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s">'FlumeUtils'</span><span class="p">,</span> <span class="s">'utf8_decoder'</span><span class="p">]</span>
<div class="viewcode-block" id="utf8_decoder"><a class="viewcode-back" href="../../../pyspark.streaming.html#pyspark.streaming.flume.utf8_decoder">[docs]</a><span class="k">def</span> <span class="nf">utf8_decoder</span><span class="p">(</span><span class="n">s</span><span class="p">):</span>
<span class="sd">""" Decode the unicode as UTF-8 """</span>
<span class="k">if</span> <span class="n">s</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">:</span>
<span class="k">return</span> <span class="bp">None</span>
<span class="k">return</span> <span class="n">s</span><span class="o">.</span><span class="n">decode</span><span class="p">(</span><span class="s">'utf-8'</span><span class="p">)</span>
</div>
<div class="viewcode-block" id="FlumeUtils"><a class="viewcode-back" href="../../../pyspark.streaming.html#pyspark.streaming.flume.FlumeUtils">[docs]</a><span class="k">class</span> <span class="nc">FlumeUtils</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="nd">@staticmethod</span>
<div class="viewcode-block" id="FlumeUtils.createStream"><a class="viewcode-back" href="../../../pyspark.streaming.html#pyspark.streaming.flume.FlumeUtils.createStream">[docs]</a> <span class="k">def</span> <span class="nf">createStream</span><span class="p">(</span><span class="n">ssc</span><span class="p">,</span> <span class="n">hostname</span><span class="p">,</span> <span class="n">port</span><span class="p">,</span>
<span class="n">storageLevel</span><span class="o">=</span><span class="n">StorageLevel</span><span class="o">.</span><span class="n">MEMORY_AND_DISK_SER_2</span><span class="p">,</span>
<span class="n">enableDecompression</span><span class="o">=</span><span class="bp">False</span><span class="p">,</span>
<span class="n">bodyDecoder</span><span class="o">=</span><span class="n">utf8_decoder</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Create an input stream that pulls events from Flume.</span>
<span class="sd"> :param ssc: StreamingContext object</span>
<span class="sd"> :param hostname: Hostname of the slave machine to which the flume data will be sent</span>
<span class="sd"> :param port: Port of the slave machine to which the flume data will be sent</span>
<span class="sd"> :param storageLevel: Storage level to use for storing the received objects</span>
<span class="sd"> :param enableDecompression: Should netty server decompress input stream</span>
<span class="sd"> :param bodyDecoder: A function used to decode body (default is utf8_decoder)</span>
<span class="sd"> :return: A DStream object</span>
<span class="sd"> """</span>
<span class="n">jlevel</span> <span class="o">=</span> <span class="n">ssc</span><span class="o">.</span><span class="n">_sc</span><span class="o">.</span><span class="n">_getJavaStorageLevel</span><span class="p">(</span><span class="n">storageLevel</span><span class="p">)</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">helperClass</span> <span class="o">=</span> <span class="n">ssc</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">java</span><span class="o">.</span><span class="n">lang</span><span class="o">.</span><span class="n">Thread</span><span class="o">.</span><span class="n">currentThread</span><span class="p">()</span><span class="o">.</span><span class="n">getContextClassLoader</span><span class="p">()</span>\
<span class="o">.</span><span class="n">loadClass</span><span class="p">(</span><span class="s">"org.apache.spark.streaming.flume.FlumeUtilsPythonHelper"</span><span class="p">)</span>
<span class="n">helper</span> <span class="o">=</span> <span class="n">helperClass</span><span class="o">.</span><span class="n">newInstance</span><span class="p">()</span>
<span class="n">jstream</span> <span class="o">=</span> <span class="n">helper</span><span class="o">.</span><span class="n">createStream</span><span class="p">(</span><span class="n">ssc</span><span class="o">.</span><span class="n">_jssc</span><span class="p">,</span> <span class="n">hostname</span><span class="p">,</span> <span class="n">port</span><span class="p">,</span> <span class="n">jlevel</span><span class="p">,</span> <span class="n">enableDecompression</span><span class="p">)</span>
<span class="k">except</span> <span class="n">Py4JJavaError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">if</span> <span class="s">'ClassNotFoundException'</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="o">.</span><span class="n">java_exception</span><span class="p">):</span>
<span class="n">FlumeUtils</span><span class="o">.</span><span class="n">_printErrorMsg</span><span class="p">(</span><span class="n">ssc</span><span class="o">.</span><span class="n">sparkContext</span><span class="p">)</span>
<span class="k">raise</span> <span class="n">e</span>
<span class="k">return</span> <span class="n">FlumeUtils</span><span class="o">.</span><span class="n">_toPythonDStream</span><span class="p">(</span><span class="n">ssc</span><span class="p">,</span> <span class="n">jstream</span><span class="p">,</span> <span class="n">bodyDecoder</span><span class="p">)</span>
</div>
<span class="nd">@staticmethod</span>
<div class="viewcode-block" id="FlumeUtils.createPollingStream"><a class="viewcode-back" href="../../../pyspark.streaming.html#pyspark.streaming.flume.FlumeUtils.createPollingStream">[docs]</a> <span class="k">def</span> <span class="nf">createPollingStream</span><span class="p">(</span><span class="n">ssc</span><span class="p">,</span> <span class="n">addresses</span><span class="p">,</span>
<span class="n">storageLevel</span><span class="o">=</span><span class="n">StorageLevel</span><span class="o">.</span><span class="n">MEMORY_AND_DISK_SER_2</span><span class="p">,</span>
<span class="n">maxBatchSize</span><span class="o">=</span><span class="mi">1000</span><span class="p">,</span>
<span class="n">parallelism</span><span class="o">=</span><span class="mi">5</span><span class="p">,</span>
<span class="n">bodyDecoder</span><span class="o">=</span><span class="n">utf8_decoder</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Creates an input stream that is to be used with the Spark Sink deployed on a Flume agent.</span>
<span class="sd"> This stream will poll the sink for data and will pull events as they are available.</span>
<span class="sd"> :param ssc: StreamingContext object</span>
<span class="sd"> :param addresses: List of (host, port)s on which the Spark Sink is running.</span>
<span class="sd"> :param storageLevel: Storage level to use for storing the received objects</span>
<span class="sd"> :param maxBatchSize: The maximum number of events to be pulled from the Spark sink</span>
<span class="sd"> in a single RPC call</span>
<span class="sd"> :param parallelism: Number of concurrent requests this stream should send to the sink.</span>
<span class="sd"> Note that having a higher number of requests concurrently being pulled</span>
<span class="sd"> will result in this stream using more threads</span>
<span class="sd"> :param bodyDecoder: A function used to decode body (default is utf8_decoder)</span>
<span class="sd"> :return: A DStream object</span>
<span class="sd"> """</span>
<span class="n">jlevel</span> <span class="o">=</span> <span class="n">ssc</span><span class="o">.</span><span class="n">_sc</span><span class="o">.</span><span class="n">_getJavaStorageLevel</span><span class="p">(</span><span class="n">storageLevel</span><span class="p">)</span>
<span class="n">hosts</span> <span class="o">=</span> <span class="p">[]</span>
<span class="n">ports</span> <span class="o">=</span> <span class="p">[]</span>
<span class="k">for</span> <span class="p">(</span><span class="n">host</span><span class="p">,</span> <span class="n">port</span><span class="p">)</span> <span class="ow">in</span> <span class="n">addresses</span><span class="p">:</span>
<span class="n">hosts</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">host</span><span class="p">)</span>
<span class="n">ports</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">port</span><span class="p">)</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">helperClass</span> <span class="o">=</span> <span class="n">ssc</span><span class="o">.</span><span class="n">_jvm</span><span class="o">.</span><span class="n">java</span><span class="o">.</span><span class="n">lang</span><span class="o">.</span><span class="n">Thread</span><span class="o">.</span><span class="n">currentThread</span><span class="p">()</span><span class="o">.</span><span class="n">getContextClassLoader</span><span class="p">()</span> \
<span class="o">.</span><span class="n">loadClass</span><span class="p">(</span><span class="s">"org.apache.spark.streaming.flume.FlumeUtilsPythonHelper"</span><span class="p">)</span>
<span class="n">helper</span> <span class="o">=</span> <span class="n">helperClass</span><span class="o">.</span><span class="n">newInstance</span><span class="p">()</span>
<span class="n">jstream</span> <span class="o">=</span> <span class="n">helper</span><span class="o">.</span><span class="n">createPollingStream</span><span class="p">(</span>
<span class="n">ssc</span><span class="o">.</span><span class="n">_jssc</span><span class="p">,</span> <span class="n">hosts</span><span class="p">,</span> <span class="n">ports</span><span class="p">,</span> <span class="n">jlevel</span><span class="p">,</span> <span class="n">maxBatchSize</span><span class="p">,</span> <span class="n">parallelism</span><span class="p">)</span>
<span class="k">except</span> <span class="n">Py4JJavaError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="k">if</span> <span class="s">'ClassNotFoundException'</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="o">.</span><span class="n">java_exception</span><span class="p">):</span>
<span class="n">FlumeUtils</span><span class="o">.</span><span class="n">_printErrorMsg</span><span class="p">(</span><span class="n">ssc</span><span class="o">.</span><span class="n">sparkContext</span><span class="p">)</span>
<span class="k">raise</span> <span class="n">e</span>
<span class="k">return</span> <span class="n">FlumeUtils</span><span class="o">.</span><span class="n">_toPythonDStream</span><span class="p">(</span><span class="n">ssc</span><span class="p">,</span> <span class="n">jstream</span><span class="p">,</span> <span class="n">bodyDecoder</span><span class="p">)</span>
</div>
<span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">_toPythonDStream</span><span class="p">(</span><span class="n">ssc</span><span class="p">,</span> <span class="n">jstream</span><span class="p">,</span> <span class="n">bodyDecoder</span><span class="p">):</span>
<span class="n">ser</span> <span class="o">=</span> <span class="n">PairDeserializer</span><span class="p">(</span><span class="n">NoOpSerializer</span><span class="p">(),</span> <span class="n">NoOpSerializer</span><span class="p">())</span>
<span class="n">stream</span> <span class="o">=</span> <span class="n">DStream</span><span class="p">(</span><span class="n">jstream</span><span class="p">,</span> <span class="n">ssc</span><span class="p">,</span> <span class="n">ser</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">func</span><span class="p">(</span><span class="n">event</span><span class="p">):</span>
<span class="n">headersBytes</span> <span class="o">=</span> <span class="n">BytesIO</span><span class="p">(</span><span class="n">event</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="k">if</span> <span class="n">sys</span><span class="o">.</span><span class="n">version</span> <span class="o">>=</span> <span class="s">"3"</span> <span class="k">else</span> <span class="n">StringIO</span><span class="p">(</span><span class="n">event</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
<span class="n">headers</span> <span class="o">=</span> <span class="p">{}</span>
<span class="n">strSer</span> <span class="o">=</span> <span class="n">UTF8Deserializer</span><span class="p">()</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">read_int</span><span class="p">(</span><span class="n">headersBytes</span><span class="p">)):</span>
<span class="n">key</span> <span class="o">=</span> <span class="n">strSer</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">headersBytes</span><span class="p">)</span>
<span class="n">value</span> <span class="o">=</span> <span class="n">strSer</span><span class="o">.</span><span class="n">loads</span><span class="p">(</span><span class="n">headersBytes</span><span class="p">)</span>
<span class="n">headers</span><span class="p">[</span><span class="n">key</span><span class="p">]</span> <span class="o">=</span> <span class="n">value</span>
<span class="n">body</span> <span class="o">=</span> <span class="n">bodyDecoder</span><span class="p">(</span><span class="n">event</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
<span class="k">return</span> <span class="p">(</span><span class="n">headers</span><span class="p">,</span> <span class="n">body</span><span class="p">)</span>
<span class="k">return</span> <span class="n">stream</span><span class="o">.</span><span class="n">map</span><span class="p">(</span><span class="n">func</span><span class="p">)</span>
<span class="nd">@staticmethod</span>
<span class="k">def</span> <span class="nf">_printErrorMsg</span><span class="p">(</span><span class="n">sc</span><span class="p">):</span>
<span class="k">print</span><span class="p">(</span><span class="s">"""</span>
<span class="s">________________________________________________________________________________________________</span>
<span class="s"> Spark Streaming's Flume libraries not found in class path. Try one of the following.</span>
<span class="s"> 1. Include the Flume library and its dependencies with in the</span>
<span class="s"> spark-submit command as</span>
<span class="s"> $ bin/spark-submit --packages org.apache.spark:spark-streaming-flume:</span><span class="si">%s</span><span class="s"> ...</span>
<span class="s"> 2. Download the JAR of the artifact from Maven Central http://search.maven.org/,</span>
<span class="s"> Group Id = org.apache.spark, Artifact Id = spark-streaming-flume-assembly, Version = </span><span class="si">%s</span><span class="s">.</span>
<span class="s"> Then, include the jar in the spark-submit command as</span>
<span class="s"> $ bin/spark-submit --jars <spark-streaming-flume-assembly.jar> ...</span>
<span class="s">________________________________________________________________________________________________</span>
<span class="s">"""</span> <span class="o">%</span> <span class="p">(</span><span class="n">sc</span><span class="o">.</span><span class="n">version</span><span class="p">,</span> <span class="n">sc</span><span class="o">.</span><span class="n">version</span><span class="p">))</span></div>
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