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<li class="toctree-l3 current"><a class="current reference internal" href="#">apache_beam.io.watermark_estimators module</a><ul>
<li class="toctree-l4"><a class="reference internal" href="#apache_beam.io.watermark_estimators.MonotonicWatermarkEstimator"><code class="docutils literal notranslate"><span class="pre">MonotonicWatermarkEstimator</span></code></a></li>
<li class="toctree-l4"><a class="reference internal" href="#apache_beam.io.watermark_estimators.WalltimeWatermarkEstimator"><code class="docutils literal notranslate"><span class="pre">WalltimeWatermarkEstimator</span></code></a></li>
<li class="toctree-l4"><a class="reference internal" href="#apache_beam.io.watermark_estimators.ManualWatermarkEstimator"><code class="docutils literal notranslate"><span class="pre">ManualWatermarkEstimator</span></code></a></li>
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<section id="module-apache_beam.io.watermark_estimators">
<span id="apache-beam-io-watermark-estimators-module"></span><h1>apache_beam.io.watermark_estimators module<a class="headerlink" href="#module-apache_beam.io.watermark_estimators" title="Link to this heading"></a></h1>
<p>A collection of WatermarkEstimator implementations that SplittableDoFns
can use.</p>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.MonotonicWatermarkEstimator">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.io.watermark_estimators.</span></span><span class="sig-name descname"><span class="pre">MonotonicWatermarkEstimator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">timestamp</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#MonotonicWatermarkEstimator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.MonotonicWatermarkEstimator" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="apache_beam.io.iobase.html#apache_beam.io.iobase.WatermarkEstimator" title="apache_beam.io.iobase.WatermarkEstimator"><code class="xref py py-class docutils literal notranslate"><span class="pre">WatermarkEstimator</span></code></a></p>
<p>A WatermarkEstimator which assumes that timestamps of all ouput records
are increasing monotonically.</p>
<p>For a new &lt;element, restriction&gt; pair, the initial value is None. When
resuming processing, the initial timestamp will be the last reported
watermark.</p>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.MonotonicWatermarkEstimator.observe_timestamp">
<span class="sig-name descname"><span class="pre">observe_timestamp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">timestamp</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#MonotonicWatermarkEstimator.observe_timestamp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.MonotonicWatermarkEstimator.observe_timestamp" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.MonotonicWatermarkEstimator.current_watermark">
<span class="sig-name descname"><span class="pre">current_watermark</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#MonotonicWatermarkEstimator.current_watermark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.MonotonicWatermarkEstimator.current_watermark" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.MonotonicWatermarkEstimator.get_estimator_state">
<span class="sig-name descname"><span class="pre">get_estimator_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#MonotonicWatermarkEstimator.get_estimator_state"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.MonotonicWatermarkEstimator.get_estimator_state" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.MonotonicWatermarkEstimator.default_provider">
<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">default_provider</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#MonotonicWatermarkEstimator.default_provider"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.MonotonicWatermarkEstimator.default_provider" title="Link to this definition"></a></dt>
<dd><p>Provide a default WatermarkEstimatorProvider for
MonotonicWatermarkEstimator.</p>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.WalltimeWatermarkEstimator">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.io.watermark_estimators.</span></span><span class="sig-name descname"><span class="pre">WalltimeWatermarkEstimator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">timestamp</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#WalltimeWatermarkEstimator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.WalltimeWatermarkEstimator" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="apache_beam.io.iobase.html#apache_beam.io.iobase.WatermarkEstimator" title="apache_beam.io.iobase.WatermarkEstimator"><code class="xref py py-class docutils literal notranslate"><span class="pre">WatermarkEstimator</span></code></a></p>
<p>A WatermarkEstimator which uses processing time as the estimated watermark.</p>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.WalltimeWatermarkEstimator.observe_timestamp">
<span class="sig-name descname"><span class="pre">observe_timestamp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">timestamp</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#WalltimeWatermarkEstimator.observe_timestamp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.WalltimeWatermarkEstimator.observe_timestamp" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.WalltimeWatermarkEstimator.current_watermark">
<span class="sig-name descname"><span class="pre">current_watermark</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#WalltimeWatermarkEstimator.current_watermark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.WalltimeWatermarkEstimator.current_watermark" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.WalltimeWatermarkEstimator.get_estimator_state">
<span class="sig-name descname"><span class="pre">get_estimator_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#WalltimeWatermarkEstimator.get_estimator_state"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.WalltimeWatermarkEstimator.get_estimator_state" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.WalltimeWatermarkEstimator.default_provider">
<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">default_provider</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#WalltimeWatermarkEstimator.default_provider"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.WalltimeWatermarkEstimator.default_provider" title="Link to this definition"></a></dt>
<dd><p>Provide a default WatermarkEstimatorProvider for
WalltimeWatermarkEstimator.</p>
</dd></dl>
</dd></dl>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.ManualWatermarkEstimator">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.io.watermark_estimators.</span></span><span class="sig-name descname"><span class="pre">ManualWatermarkEstimator</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">watermark</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#ManualWatermarkEstimator"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.ManualWatermarkEstimator" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="apache_beam.io.iobase.html#apache_beam.io.iobase.WatermarkEstimator" title="apache_beam.io.iobase.WatermarkEstimator"><code class="xref py py-class docutils literal notranslate"><span class="pre">WatermarkEstimator</span></code></a></p>
<p>A WatermarkEstimator which is controlled manually from within a DoFn.</p>
<p>The DoFn must invoke set_watermark to advance the watermark.</p>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.ManualWatermarkEstimator.observe_timestamp">
<span class="sig-name descname"><span class="pre">observe_timestamp</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">timestamp</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#ManualWatermarkEstimator.observe_timestamp"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.ManualWatermarkEstimator.observe_timestamp" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.ManualWatermarkEstimator.current_watermark">
<span class="sig-name descname"><span class="pre">current_watermark</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#ManualWatermarkEstimator.current_watermark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.ManualWatermarkEstimator.current_watermark" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.ManualWatermarkEstimator.get_estimator_state">
<span class="sig-name descname"><span class="pre">get_estimator_state</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#ManualWatermarkEstimator.get_estimator_state"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.ManualWatermarkEstimator.get_estimator_state" title="Link to this definition"></a></dt>
<dd></dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.ManualWatermarkEstimator.set_watermark">
<span class="sig-name descname"><span class="pre">set_watermark</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">timestamp</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#ManualWatermarkEstimator.set_watermark"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.ManualWatermarkEstimator.set_watermark" title="Link to this definition"></a></dt>
<dd><p>Sets a timestamp before or at the timestamps of all future elements
produced by the associated DoFn.</p>
<p>This can be approximate. If records are output that violate this guarantee,
they will be considered late, which will affect how they will be processed.
See <a class="reference external" href="https://beam.apache.org/documentation/programming-guide/#watermarks-and-late-data">https://beam.apache.org/documentation/programming-guide/#watermarks-and-late-data</a>
for more information on late data and how to handle it.</p>
<p>However, this value should be as late as possible. Downstream windows may
not be able to close until this watermark passes their end.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.io.watermark_estimators.ManualWatermarkEstimator.default_provider">
<em class="property"><span class="pre">static</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">default_provider</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/io/watermark_estimators.html#ManualWatermarkEstimator.default_provider"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.io.watermark_estimators.ManualWatermarkEstimator.default_provider" title="Link to this definition"></a></dt>
<dd><p>Provide a default WatermarkEstimatorProvider for
WalltimeWatermarkEstimator.</p>
</dd></dl>
</dd></dl>
</section>
</div>
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