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<div class="subTitle">org.apache.spark.rdd</div>
<h2 title="Class NewHadoopRDD" class="title">Class NewHadoopRDD<K,V></h2>
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<li>java.lang.Object</li>
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<li><a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">org.apache.spark.rdd.RDD</a><scala.Tuple2<K,V>></li>
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<li>org.apache.spark.rdd.NewHadoopRDD<K,V></li>
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<pre>public class <span class="strong">NewHadoopRDD<K,V></span>
extends <a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>>
implements <a href="../../../../org/apache/spark/Logging.html" title="interface in org.apache.spark">Logging</a></pre>
<div class="block">:: DeveloperApi ::
An RDD that provides core functionality for reading data stored in Hadoop (e.g., files in HDFS,
sources in HBase, or S3), using the new MapReduce API (<code>org.apache.hadoop.mapreduce</code>).
<p>
Note: Instantiating this class directly is not recommended, please use
<code>org.apache.spark.SparkContext.newAPIHadoopRDD()</code>
<p>
param: sc The SparkContext to associate the RDD with.
param: inputFormatClass Storage format of the data to be read.
param: keyClass Class of the key associated with the inputFormatClass.
param: valueClass Class of the value associated with the inputFormatClass.
param: conf The Hadoop configuration.</div>
<dl><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../serialized-form.html#org.apache.spark.rdd.NewHadoopRDD">Serialized Form</a></dd></dl>
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<td class="colOne"><code><strong><a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html#NewHadoopRDD(org.apache.spark.SparkContext, java.lang.Class, java.lang.Class, java.lang.Class, org.apache.hadoop.conf.Configuration)">NewHadoopRDD</a></strong>(<a href="../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a> sc,
java.lang.Class<? extends org.apache.hadoop.mapreduce.InputFormat<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>>> inputFormatClass,
java.lang.Class<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>> keyClass,
java.lang.Class<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>> valueClass,
org.apache.hadoop.conf.Configuration conf)</code> </td>
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<th class="colFirst" scope="col">Modifier and Type</th>
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<td class="colFirst"><code><a href="../../../../org/apache/spark/InterruptibleIterator.html" title="class in org.apache.spark">InterruptibleIterator</a><scala.Tuple2<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html#compute(org.apache.spark.Partition, org.apache.spark.TaskContext)">compute</a></strong>(<a href="../../../../org/apache/spark/Partition.html" title="interface in org.apache.spark">Partition</a> theSplit,
<a href="../../../../org/apache/spark/TaskContext.html" title="class in org.apache.spark">TaskContext</a> context)</code>
<div class="block">:: DeveloperApi ::
Implemented by subclasses to compute a given partition.</div>
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<td class="colFirst"><code>org.apache.hadoop.conf.Configuration</code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html#getConf()">getConf</a></strong>()</code> </td>
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<td class="colFirst"><code><a href="../../../../org/apache/spark/Partition.html" title="interface in org.apache.spark">Partition</a>[]</code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html#getPartitions()">getPartitions</a></strong>()</code>
<div class="block">Implemented by subclasses to return the set of partitions in this RDD.</div>
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<td class="colFirst"><code>scala.collection.Seq<java.lang.String></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html#getPreferredLocations(org.apache.spark.Partition)">getPreferredLocations</a></strong>(<a href="../../../../org/apache/spark/Partition.html" title="interface in org.apache.spark">Partition</a> hsplit)</code>
<div class="block">Optionally overridden by subclasses to specify placement preferences.</div>
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<td class="colFirst"><code>protected org.apache.hadoop.mapreduce.JobID</code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html#jobId()">jobId</a></strong>()</code> </td>
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<td class="colFirst"><code><U> <a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><U></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html#mapPartitionsWithInputSplit(scala.Function2, boolean, scala.reflect.ClassTag)">mapPartitionsWithInputSplit</a></strong>(scala.Function2<org.apache.hadoop.mapreduce.InputSplit,scala.collection.Iterator<scala.Tuple2<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>>>,scala.collection.Iterator<U>> f,
boolean preservesPartitioning,
scala.reflect.ClassTag<U> evidence$1)</code>
<div class="block">Maps over a partition, providing the InputSplit that was used as the base of the partition.</div>
</td>
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<td class="colFirst"><code><a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="class in org.apache.spark.rdd">NewHadoopRDD</a><<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>></code></td>
<td class="colLast"><code><strong><a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html#persist(org.apache.spark.storage.StorageLevel)">persist</a></strong>(<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> storageLevel)</code>
<div class="block">Set this RDD's storage level to persist its values across operations after the first time
it is computed.</div>
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<code><a href="../../../../org/apache/spark/Logging.html#initializeIfNecessary()">initializeIfNecessary</a>, <a href="../../../../org/apache/spark/Logging.html#initializeLogging()">initializeLogging</a>, <a href="../../../../org/apache/spark/Logging.html#isTraceEnabled()">isTraceEnabled</a>, <a href="../../../../org/apache/spark/Logging.html#log_()">log_</a>, <a href="../../../../org/apache/spark/Logging.html#log()">log</a>, <a href="../../../../org/apache/spark/Logging.html#logDebug(scala.Function0)">logDebug</a>, <a href="../../../../org/apache/spark/Logging.html#logDebug(scala.Function0, java.lang.Throwable)">logDebug</a>, <a href="../../../../org/apache/spark/Logging.html#logError(scala.Function0)">logError</a>, <a href="../../../../org/apache/spark/Logging.html#logError(scala.Function0, java.lang.Throwable)">logError</a>, <a href="../../../../org/apache/spark/Logging.html#logInfo(scala.Function0)">logInfo</a>, <a href="../../../../org/apache/spark/Logging.html#logInfo(scala.Function0, java.lang.Throwable)">logInfo</a>, <a href="../../../../org/apache/spark/Logging.html#logName()">logName</a>, <a href="../../../../org/apache/spark/Logging.html#logTrace(scala.Function0)">logTrace</a>, <a href="../../../../org/apache/spark/Logging.html#logTrace(scala.Function0, java.lang.Throwable)">logTrace</a>, <a href="../../../../org/apache/spark/Logging.html#logWarning(scala.Function0)">logWarning</a>, <a href="../../../../org/apache/spark/Logging.html#logWarning(scala.Function0, java.lang.Throwable)">logWarning</a></code></li>
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<a name="NewHadoopRDD(org.apache.spark.SparkContext, java.lang.Class, java.lang.Class, java.lang.Class, org.apache.hadoop.conf.Configuration)">
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<h4>NewHadoopRDD</h4>
<pre>public NewHadoopRDD(<a href="../../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a> sc,
java.lang.Class<? extends org.apache.hadoop.mapreduce.InputFormat<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>>> inputFormatClass,
java.lang.Class<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>> keyClass,
java.lang.Class<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>> valueClass,
org.apache.hadoop.conf.Configuration conf)</pre>
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<h4>jobId</h4>
<pre>protected org.apache.hadoop.mapreduce.JobID jobId()</pre>
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<h4>getPartitions</h4>
<pre>public <a href="../../../../org/apache/spark/Partition.html" title="interface in org.apache.spark">Partition</a>[] getPartitions()</pre>
<div class="block"><strong>Description copied from class: <code><a href="../../../../org/apache/spark/rdd/RDD.html#getPartitions()">RDD</a></code></strong></div>
<div class="block">Implemented by subclasses to return the set of partitions in this RDD. This method will only
be called once, so it is safe to implement a time-consuming computation in it.</div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../org/apache/spark/rdd/RDD.html#getPartitions()">getPartitions</a></code> in class <code><a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>>></code></dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<a name="compute(org.apache.spark.Partition, org.apache.spark.TaskContext)">
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<h4>compute</h4>
<pre>public <a href="../../../../org/apache/spark/InterruptibleIterator.html" title="class in org.apache.spark">InterruptibleIterator</a><scala.Tuple2<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>>> compute(<a href="../../../../org/apache/spark/Partition.html" title="interface in org.apache.spark">Partition</a> theSplit,
<a href="../../../../org/apache/spark/TaskContext.html" title="class in org.apache.spark">TaskContext</a> context)</pre>
<div class="block"><strong>Description copied from class: <code><a href="../../../../org/apache/spark/rdd/RDD.html#compute(org.apache.spark.Partition, org.apache.spark.TaskContext)">RDD</a></code></strong></div>
<div class="block">:: DeveloperApi ::
Implemented by subclasses to compute a given partition.</div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code><a href="../../../../org/apache/spark/rdd/RDD.html#compute(org.apache.spark.Partition, org.apache.spark.TaskContext)">compute</a></code> in class <code><a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>>></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>theSplit</code> - (undocumented)</dd><dd><code>context</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<a name="mapPartitionsWithInputSplit(scala.Function2, boolean, scala.reflect.ClassTag)">
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<h4>mapPartitionsWithInputSplit</h4>
<pre>public <U> <a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><U> mapPartitionsWithInputSplit(scala.Function2<org.apache.hadoop.mapreduce.InputSplit,scala.collection.Iterator<scala.Tuple2<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>>>,scala.collection.Iterator<U>> f,
boolean preservesPartitioning,
scala.reflect.ClassTag<U> evidence$1)</pre>
<div class="block">Maps over a partition, providing the InputSplit that was used as the base of the partition.</div>
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<h4>getPreferredLocations</h4>
<pre>public scala.collection.Seq<java.lang.String> getPreferredLocations(<a href="../../../../org/apache/spark/Partition.html" title="interface in org.apache.spark">Partition</a> hsplit)</pre>
<div class="block"><strong>Description copied from class: <code><a href="../../../../org/apache/spark/rdd/RDD.html#getPreferredLocations(org.apache.spark.Partition)">RDD</a></code></strong></div>
<div class="block">Optionally overridden by subclasses to specify placement preferences.</div>
<dl>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../org/apache/spark/rdd/RDD.html#getPreferredLocations(org.apache.spark.Partition)">getPreferredLocations</a></code> in class <code><a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>>></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>hsplit</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<h4>persist</h4>
<pre>public <a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="class in org.apache.spark.rdd">NewHadoopRDD</a><<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>> persist(<a href="../../../../org/apache/spark/storage/StorageLevel.html" title="class in org.apache.spark.storage">StorageLevel</a> storageLevel)</pre>
<div class="block"><strong>Description copied from class: <code><a href="../../../../org/apache/spark/rdd/RDD.html#persist(org.apache.spark.storage.StorageLevel)">RDD</a></code></strong></div>
<div class="block">Set this RDD's storage level to persist its values across operations after the first time
it is computed. This can only be used to assign a new storage level if the RDD does not
have a storage level set yet. Local checkpointing is an exception.</div>
<dl>
<dt><strong>Overrides:</strong></dt>
<dd><code><a href="../../../../org/apache/spark/rdd/RDD.html#persist(org.apache.spark.storage.StorageLevel)">persist</a></code> in class <code><a href="../../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">K</a>,<a href="../../../../org/apache/spark/rdd/NewHadoopRDD.html" title="type parameter in NewHadoopRDD">V</a>>></code></dd>
<dt><span class="strong">Parameters:</span></dt><dd><code>storageLevel</code> - (undocumented)</dd>
<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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<h4>getConf</h4>
<pre>public org.apache.hadoop.conf.Configuration getConf()</pre>
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