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<div class="subTitle">org.apache.beam.runners.spark.stateful</div>
<h2 title="Class StateSpecFunctions" class="title">Class StateSpecFunctions</h2>
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<pre>public class <span class="typeNameLabel">StateSpecFunctions</span>
extends java.lang.Object</pre>
<div class="block">A class containing <code>StateSpec</code> mappingFunctions.</div>
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<td class="colOne"><code><span class="memberNameLink"><a href="../../../../../../org/apache/beam/runners/spark/stateful/StateSpecFunctions.html#StateSpecFunctions--">StateSpecFunctions</a></span>()</code>&nbsp;</td>
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<td class="colFirst"><code>static &lt;T,CheckpointMarkT extends <a href="../../../../../../org/apache/beam/sdk/io/UnboundedSource.CheckpointMark.html" title="interface in org.apache.beam.sdk.io">UnboundedSource.CheckpointMark</a>&gt;<br>scala.Function3&lt;<a href="../../../../../../org/apache/beam/sdk/io/Source.html" title="class in org.apache.beam.sdk.io">Source</a>&lt;T&gt;,scala.Option&lt;CheckpointMarkT&gt;,org.apache.spark.streaming.State&lt;scala.Tuple2&lt;byte[],<a href="https://static.javadoc.io/joda-time/joda-time/2.10.10/org/joda/time/Instant.html?is-external=true" title="class or interface in org.joda.time">Instant</a>&gt;&gt;,scala.Tuple2&lt;java.lang.Iterable&lt;byte[]&gt;,<a href="../../../../../../org/apache/beam/runners/spark/io/SparkUnboundedSource.Metadata.html" title="class in org.apache.beam.runners.spark.io">SparkUnboundedSource.Metadata</a>&gt;&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/beam/runners/spark/stateful/StateSpecFunctions.html#mapSourceFunction-org.apache.beam.runners.core.construction.SerializablePipelineOptions-java.lang.String-">mapSourceFunction</a></span>(org.apache.beam.runners.core.construction.SerializablePipelineOptions&nbsp;options,
java.lang.String&nbsp;stepName)</code>
<div class="block">A <code>StateSpec</code> function to support reading from an <a href="../../../../../../org/apache/beam/sdk/io/UnboundedSource.html" title="class in org.apache.beam.sdk.io"><code>UnboundedSource</code></a>.</div>
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<h4>StateSpecFunctions</h4>
<pre>public&nbsp;StateSpecFunctions()</pre>
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<h4>mapSourceFunction</h4>
<pre>public static&nbsp;&lt;T,CheckpointMarkT extends <a href="../../../../../../org/apache/beam/sdk/io/UnboundedSource.CheckpointMark.html" title="interface in org.apache.beam.sdk.io">UnboundedSource.CheckpointMark</a>&gt;&nbsp;scala.Function3&lt;<a href="../../../../../../org/apache/beam/sdk/io/Source.html" title="class in org.apache.beam.sdk.io">Source</a>&lt;T&gt;,scala.Option&lt;CheckpointMarkT&gt;,org.apache.spark.streaming.State&lt;scala.Tuple2&lt;byte[],<a href="https://static.javadoc.io/joda-time/joda-time/2.10.10/org/joda/time/Instant.html?is-external=true" title="class or interface in org.joda.time">Instant</a>&gt;&gt;,scala.Tuple2&lt;java.lang.Iterable&lt;byte[]&gt;,<a href="../../../../../../org/apache/beam/runners/spark/io/SparkUnboundedSource.Metadata.html" title="class in org.apache.beam.runners.spark.io">SparkUnboundedSource.Metadata</a>&gt;&gt;&nbsp;mapSourceFunction(org.apache.beam.runners.core.construction.SerializablePipelineOptions&nbsp;options,
java.lang.String&nbsp;stepName)</pre>
<div class="block">A <code>StateSpec</code> function to support reading from an <a href="../../../../../../org/apache/beam/sdk/io/UnboundedSource.html" title="class in org.apache.beam.sdk.io"><code>UnboundedSource</code></a>.
<p>This StateSpec function expects the following:
<ul>
<li>Key: The (partitioned) Source to read from.
<li>Value: An optional <code>UnboundedSource.CheckpointMark</code> to start from.
<li>State: A byte representation of the (previously) persisted CheckpointMark.
</ul>
And returns an iterator over all read values (for the micro-batch).
<p>This stateful operation could be described as a flatMap over a single-element stream, which
outputs all the elements read from the <a href="../../../../../../org/apache/beam/sdk/io/UnboundedSource.html" title="class in org.apache.beam.sdk.io"><code>UnboundedSource</code></a> for this micro-batch. Since
micro-batches are bounded, the provided UnboundedSource is wrapped by a <a href="../../../../../../org/apache/beam/runners/spark/io/MicrobatchSource.html" title="class in org.apache.beam.runners.spark.io"><code>MicrobatchSource</code></a> that applies bounds in the form of duration and max records (per
micro-batch).
<p>In order to avoid using Spark Guava's classes which pollute the classpath, we use the <code>StateSpec.function(scala.Function3)</code> signature which employs scala's native <code>Option</code>, instead of the <code>StateSpec.function(org.apache.spark.api.java.function.Function3)</code> signature, which employs
Guava's <code>Optional</code>.
<p>See also <a href="https://issues.apache.org/jira/browse/SPARK-4819">SPARK-4819</a>.</div>
<dl>
<dt><span class="paramLabel">Type Parameters:</span></dt>
<dd><code>T</code> - The type of the input stream elements.</dd>
<dd><code>CheckpointMarkT</code> - The type of the <code>UnboundedSource.CheckpointMark</code>.</dd>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>options</code> - A serializable <code>SerializablePipelineOptions</code>.</dd>
<dt><span class="returnLabel">Returns:</span></dt>
<dd>The appropriate <code>StateSpec</code> function.</dd>
</dl>
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