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| <div class="section" id="pyspark-streaming-dstream-reducebywindow"> |
| <h1>pyspark.streaming.DStream.reduceByWindow<a class="headerlink" href="#pyspark-streaming-dstream-reducebywindow" title="Permalink to this headline">¶</a></h1> |
| <dl class="py method"> |
| <dt id="pyspark.streaming.DStream.reduceByWindow"> |
| <code class="sig-prename descclassname">DStream.</code><code class="sig-name descname">reduceByWindow</code><span class="sig-paren">(</span><em class="sig-param"><span class="n">reduceFunc</span><span class="p">:</span> <span class="n">Callable<span class="p">[</span><span class="p">[</span>T<span class="p">, </span>T<span class="p">]</span><span class="p">, </span>T<span class="p">]</span></span></em>, <em class="sig-param"><span class="n">invReduceFunc</span><span class="p">:</span> <span class="n">Optional<span class="p">[</span>Callable<span class="p">[</span><span class="p">[</span>T<span class="p">, </span>T<span class="p">]</span><span class="p">, </span>T<span class="p">]</span><span class="p">]</span></span></em>, <em class="sig-param"><span class="n">windowDuration</span><span class="p">:</span> <span class="n">int</span></em>, <em class="sig-param"><span class="n">slideDuration</span><span class="p">:</span> <span class="n">int</span></em><span class="sig-paren">)</span> → pyspark.streaming.dstream.DStream<span class="p">[</span>T<span class="p">]</span><a class="reference internal" href="../../_modules/pyspark/streaming/dstream.html#DStream.reduceByWindow"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#pyspark.streaming.DStream.reduceByWindow" title="Permalink to this definition">¶</a></dt> |
| <dd><p>Return a new DStream in which each RDD has a single element generated by reducing all |
| elements in a sliding window over this DStream.</p> |
| <p>if <cite>invReduceFunc</cite> is not None, the reduction is done incrementally |
| using the old window’s reduced value :</p> |
| <ol class="arabic simple"> |
| <li><p>reduce the new values that entered the window (e.g., adding new counts)</p></li> |
| </ol> |
| <p>2. “inverse reduce” the old values that left the window (e.g., subtracting old counts) |
| This is more efficient than <cite>invReduceFunc</cite> is None.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters</dt> |
| <dd class="field-odd"><dl class="simple"> |
| <dt><strong>reduceFunc</strong><span class="classifier">function</span></dt><dd><p>associative and commutative reduce function</p> |
| </dd> |
| <dt><strong>invReduceFunc</strong><span class="classifier">function</span></dt><dd><p>inverse reduce function of <cite>reduceFunc</cite>; such that for all y, |
| and invertible x: |
| <cite>invReduceFunc(reduceFunc(x, y), x) = y</cite></p> |
| </dd> |
| <dt><strong>windowDuration</strong><span class="classifier">int</span></dt><dd><p>width of the window; must be a multiple of this DStream’s |
| batching interval</p> |
| </dd> |
| <dt><strong>slideDuration</strong><span class="classifier">int</span></dt><dd><p>sliding interval of the window (i.e., the interval after which |
| the new DStream will generate RDDs); must be a multiple of this |
| DStream’s batching interval</p> |
| </dd> |
| </dl> |
| </dd> |
| </dl> |
| </dd></dl> |
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