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<li class="toctree-l4"><a class="reference internal" href="#apache_beam.yaml.yaml_enrichment.enrichment_transform"><code class="docutils literal notranslate"><span class="pre">enrichment_transform()</span></code></a></li>
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<section id="module-apache_beam.yaml.yaml_enrichment">
<span id="apache-beam-yaml-yaml-enrichment-module"></span><h1>apache_beam.yaml.yaml_enrichment module<a class="headerlink" href="#module-apache_beam.yaml.yaml_enrichment" title="Link to this heading"></a></h1>
<dl class="py function">
<dt class="sig sig-object py" id="apache_beam.yaml.yaml_enrichment.enrichment_transform">
<span class="sig-prename descclassname"><span class="pre">apache_beam.yaml.yaml_enrichment.</span></span><span class="sig-name descname"><span class="pre">enrichment_transform</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">enrichment_handler</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="n"><span class="pre">handler_config</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#dict" title="(in Python v3.13)"><span class="pre">dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a><span class="p"><span class="pre">]</span></span></span></em>, <em class="sig-param"><span class="n"><span class="pre">timeout</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><span class="pre">float</span></a><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">30</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/yaml/yaml_enrichment.html#enrichment_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.yaml.yaml_enrichment.enrichment_transform" title="Link to this definition"></a></dt>
<dd><p>The Enrichment transform allows one to dynamically enhance elements in a
pipeline by performing key-value lookups against external services like
APIs or databases.</p>
<p>Example using BigTable:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">-</span> <span class="nb">type</span><span class="p">:</span> <span class="n">Enrichment</span>
<span class="n">config</span><span class="p">:</span>
<span class="n">enrichment_handler</span><span class="p">:</span> <span class="s1">&#39;BigTable&#39;</span>
<span class="n">handler_config</span><span class="p">:</span>
<span class="n">project_id</span><span class="p">:</span> <span class="s1">&#39;apache-beam-testing&#39;</span>
<span class="n">instance_id</span><span class="p">:</span> <span class="s1">&#39;beam-test&#39;</span>
<span class="n">table_id</span><span class="p">:</span> <span class="s1">&#39;bigtable-enrichment-test&#39;</span>
<span class="n">row_key</span><span class="p">:</span> <span class="s1">&#39;product_id&#39;</span>
<span class="n">timeout</span><span class="p">:</span> <span class="mi">30</span>
</pre></div>
</div>
<p>For more information on Enrichment, see the [Beam docs](
<a class="reference external" href="https://beam.apache.org/documentation/transforms/python/elementwise/enrichment/">https://beam.apache.org/documentation/transforms/python/elementwise/enrichment/</a>).</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>enrichment_handler</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><em>str</em></a>) – Specifies the source from where data needs
to be extracted into the pipeline for enriching data. One of
“BigQuery”, “BigTable”, “FeastFeatureStore” or “VertexAIFeatureStore”.</p></li>
<li><p><strong>handler_config</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><em>str</em></a>) – <p>Specifies the parameters for the respective
enrichment_handler in a YAML/JSON format. To see the full set of
handler_config parameters, see their corresponding doc pages:</p>
<blockquote>
<div><ul>
<li><p>[BigQueryEnrichmentHandler](<a class="reference external" href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.bigquery.html#apache_beam.transforms.enrichment_handlers.bigquery.BigQueryEnrichmentHandler">https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.bigquery.html#apache_beam.transforms.enrichment_handlers.bigquery.BigQueryEnrichmentHandler</a>)</p></li>
<li><p>[BigTableEnrichmentHandler](<a class="reference external" href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.bigtable.html#apache_beam.transforms.enrichment_handlers.bigtable.BigTableEnrichmentHandler">https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.bigtable.html#apache_beam.transforms.enrichment_handlers.bigtable.BigTableEnrichmentHandler</a>)</p></li>
<li><p>[FeastFeatureStoreEnrichmentHandler](<a class="reference external" href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.feast_feature_store.html#apache_beam.transforms.enrichment_handlers.feast_feature_store.FeastFeatureStoreEnrichmentHandler">https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.feast_feature_store.html#apache_beam.transforms.enrichment_handlers.feast_feature_store.FeastFeatureStoreEnrichmentHandler</a>)</p></li>
<li><p>[VertexAIFeatureStoreEnrichmentHandler](<a class="reference external" href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.html#apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.VertexAIFeatureStoreEnrichmentHandler">https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.html#apache_beam.transforms.enrichment_handlers.vertex_ai_feature_store.VertexAIFeatureStoreEnrichmentHandler</a>)</p></li>
</ul>
</div></blockquote>
</p></li>
<li><p><strong>timeout</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#float" title="(in Python v3.13)"><em>float</em></a>) – Timeout for source requests in seconds. Defaults to 30
seconds.</p></li>
</ul>
</dd>
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