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Posted to commits@spark.apache.org by rx...@apache.org on 2016/11/11 22:02:55 UTC
[06/51] [partial] spark-website git commit: Add docs for 2.0.2.
http://git-wip-us.apache.org/repos/asf/spark-website/blob/0bd36316/site/docs/2.0.2/api/java/org/apache/spark/SparkContext.html
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+<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
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+<html lang="en">
+<head>
+<!-- Generated by javadoc (version 1.7.0_79) on Mon Nov 07 17:49:33 PST 2016 -->
+<title>SparkContext (Spark 2.0.2 JavaDoc)</title>
+<meta name="date" content="2016-11-07">
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+<li><a href="../../../help-doc.html">Help</a></li>
+</ul>
+</div>
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+<ul class="subNavList">
+<li>Summary: </li>
+<li>Nested | </li>
+<li>Field | </li>
+<li><a href="#constructor_summary">Constr</a> | </li>
+<li><a href="#method_summary">Method</a></li>
+</ul>
+<ul class="subNavList">
+<li>Detail: </li>
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+<li><a href="#method_detail">Method</a></li>
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+<!-- ======== START OF CLASS DATA ======== -->
+<div class="header">
+<div class="subTitle">org.apache.spark</div>
+<h2 title="Class SparkContext" class="title">Class SparkContext</h2>
+</div>
+<div class="contentContainer">
+<ul class="inheritance">
+<li>Object</li>
+<li>
+<ul class="inheritance">
+<li>org.apache.spark.SparkContext</li>
+</ul>
+</li>
+</ul>
+<div class="description">
+<ul class="blockList">
+<li class="blockList">
+<hr>
+<br>
+<pre>public class <span class="strong">SparkContext</span>
+extends Object</pre>
+<div class="block">Main entry point for Spark functionality. A SparkContext represents the connection to a Spark
+ cluster, and can be used to create RDDs, accumulators and broadcast variables on that cluster.
+ <p>
+ Only one SparkContext may be active per JVM. You must <code>stop()</code> the active SparkContext before
+ creating a new one. This limitation may eventually be removed; see SPARK-2243 for more details.
+ <p>
+ param: config a Spark Config object describing the application configuration. Any settings in
+ this config overrides the default configs as well as system properties.</div>
+</li>
+</ul>
+</div>
+<div class="summary">
+<ul class="blockList">
+<li class="blockList">
+<!-- ======== CONSTRUCTOR SUMMARY ======== -->
+<ul class="blockList">
+<li class="blockList"><a name="constructor_summary">
+<!-- -->
+</a>
+<h3>Constructor Summary</h3>
+<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Constructor Summary table, listing constructors, and an explanation">
+<caption><span>Constructors</span><span class="tabEnd"> </span></caption>
+<tr>
+<th class="colOne" scope="col">Constructor and Description</th>
+</tr>
+<tr class="altColor">
+<td class="colOne"><code><strong><a href="../../../org/apache/spark/SparkContext.html#SparkContext()">SparkContext</a></strong>()</code>
+<div class="block">Create a SparkContext that loads settings from system properties (for instance, when
+ launching with ./bin/spark-submit).</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colOne"><code><strong><a href="../../../org/apache/spark/SparkContext.html#SparkContext(org.apache.spark.SparkConf)">SparkContext</a></strong>(<a href="../../../org/apache/spark/SparkConf.html" title="class in org.apache.spark">SparkConf</a> config)</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colOne"><code><strong><a href="../../../org/apache/spark/SparkContext.html#SparkContext(java.lang.String,%20java.lang.String,%20org.apache.spark.SparkConf)">SparkContext</a></strong>(String master,
+ String appName,
+ <a href="../../../org/apache/spark/SparkConf.html" title="class in org.apache.spark">SparkConf</a> conf)</code>
+<div class="block">Alternative constructor that allows setting common Spark properties directly</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colOne"><code><strong><a href="../../../org/apache/spark/SparkContext.html#SparkContext(java.lang.String,%20java.lang.String,%20java.lang.String,%20scala.collection.Seq,%20scala.collection.Map)">SparkContext</a></strong>(String master,
+ String appName,
+ String sparkHome,
+ scala.collection.Seq<String> jars,
+ scala.collection.Map<String,String> environment)</code>
+<div class="block">Alternative constructor that allows setting common Spark properties directly</div>
+</td>
+</tr>
+</table>
+</li>
+</ul>
+<!-- ========== METHOD SUMMARY =========== -->
+<ul class="blockList">
+<li class="blockList"><a name="method_summary">
+<!-- -->
+</a>
+<h3>Method Summary</h3>
+<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
+<caption><span>Methods</span><span class="tabEnd"> </span></caption>
+<tr>
+<th class="colFirst" scope="col">Modifier and Type</th>
+<th class="colLast" scope="col">Method and Description</th>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><R,T> <a href="../../../org/apache/spark/Accumulable.html" title="class in org.apache.spark">Accumulable</a><R,T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#accumulable(R,%20org.apache.spark.AccumulableParam)">accumulable</a></strong>(R initialValue,
+ <a href="../../../org/apache/spark/AccumulableParam.html" title="interface in org.apache.spark">AccumulableParam</a><R,T> param)</code>
+<div class="block"><strong>Deprecated.</strong>
+<div class="block"><i>use AccumulatorV2. Since 2.0.0.</i></div>
+</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><R,T> <a href="../../../org/apache/spark/Accumulable.html" title="class in org.apache.spark">Accumulable</a><R,T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#accumulable(R,%20java.lang.String,%20org.apache.spark.AccumulableParam)">accumulable</a></strong>(R initialValue,
+ String name,
+ <a href="../../../org/apache/spark/AccumulableParam.html" title="interface in org.apache.spark">AccumulableParam</a><R,T> param)</code>
+<div class="block"><strong>Deprecated.</strong>
+<div class="block"><i>use AccumulatorV2. Since 2.0.0.</i></div>
+</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><R,T> <a href="../../../org/apache/spark/Accumulable.html" title="class in org.apache.spark">Accumulable</a><R,T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#accumulableCollection(R,%20scala.Function1,%20scala.reflect.ClassTag)">accumulableCollection</a></strong>(R initialValue,
+ scala.Function1<R,scala.collection.generic.Growable<T>> evidence$9,
+ scala.reflect.ClassTag<R> evidence$10)</code>
+<div class="block"><strong>Deprecated.</strong>
+<div class="block"><i>use AccumulatorV2. Since 2.0.0.</i></div>
+</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/Accumulator.html" title="class in org.apache.spark">Accumulator</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#accumulator(T,%20org.apache.spark.AccumulatorParam)">accumulator</a></strong>(T initialValue,
+ <a href="../../../org/apache/spark/AccumulatorParam.html" title="interface in org.apache.spark">AccumulatorParam</a><T> param)</code>
+<div class="block"><strong>Deprecated.</strong>
+<div class="block"><i>use AccumulatorV2. Since 2.0.0.</i></div>
+</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/Accumulator.html" title="class in org.apache.spark">Accumulator</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#accumulator(T,%20java.lang.String,%20org.apache.spark.AccumulatorParam)">accumulator</a></strong>(T initialValue,
+ String name,
+ <a href="../../../org/apache/spark/AccumulatorParam.html" title="interface in org.apache.spark">AccumulatorParam</a><T> param)</code>
+<div class="block"><strong>Deprecated.</strong>
+<div class="block"><i>use AccumulatorV2. Since 2.0.0.</i></div>
+</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#addFile(java.lang.String)">addFile</a></strong>(String path)</code>
+<div class="block">Add a file to be downloaded with this Spark job on every node.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#addFile(java.lang.String,%20boolean)">addFile</a></strong>(String path,
+ boolean recursive)</code>
+<div class="block">Add a file to be downloaded with this Spark job on every node.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#addJar(java.lang.String)">addJar</a></strong>(String path)</code>
+<div class="block">Adds a JAR dependency for all tasks to be executed on this SparkContext in the future.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#addSparkListener(org.apache.spark.scheduler.SparkListenerInterface)">addSparkListener</a></strong>(org.apache.spark.scheduler.SparkListenerInterface listener)</code>
+<div class="block">:: DeveloperApi ::
+ Register a listener to receive up-calls from events that happen during execution.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>scala.Option<String></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#applicationAttemptId()">applicationAttemptId</a></strong>()</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>String</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#applicationId()">applicationId</a></strong>()</code>
+<div class="block">A unique identifier for the Spark application.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>String</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#appName()">appName</a></strong>()</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<String,<a href="../../../org/apache/spark/input/PortableDataStream.html" title="class in org.apache.spark.input">PortableDataStream</a>>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#binaryFiles(java.lang.String,%20int)">binaryFiles</a></strong>(String path,
+ int minPartitions)</code>
+<div class="block">Get an RDD for a Hadoop-readable dataset as PortableDataStream for each file
+ (useful for binary data)</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><byte[]></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#binaryRecords(java.lang.String,%20int,%20org.apache.hadoop.conf.Configuration)">binaryRecords</a></strong>(String path,
+ int recordLength,
+ org.apache.hadoop.conf.Configuration conf)</code>
+<div class="block">Load data from a flat binary file, assuming the length of each record is constant.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/broadcast/Broadcast.html" title="class in org.apache.spark.broadcast">Broadcast</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#broadcast(T,%20scala.reflect.ClassTag)">broadcast</a></strong>(T value,
+ scala.reflect.ClassTag<T> evidence$11)</code>
+<div class="block">Broadcast a read-only variable to the cluster, returning a
+ <a href="../../../org/apache/spark/broadcast/Broadcast.html" title="class in org.apache.spark.broadcast"><code>Broadcast</code></a> object for reading it in distributed functions.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#cancelAllJobs()">cancelAllJobs</a></strong>()</code>
+<div class="block">Cancel all jobs that have been scheduled or are running.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#cancelJobGroup(java.lang.String)">cancelJobGroup</a></strong>(String groupId)</code>
+<div class="block">Cancel active jobs for the specified group.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#clearCallSite()">clearCallSite</a></strong>()</code>
+<div class="block">Clear the thread-local property for overriding the call sites
+ of actions and RDDs.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#clearJobGroup()">clearJobGroup</a></strong>()</code>
+<div class="block">Clear the current thread's job group ID and its description.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/util/CollectionAccumulator.html" title="class in org.apache.spark.util">CollectionAccumulator</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#collectionAccumulator()">collectionAccumulator</a></strong>()</code>
+<div class="block">Create and register a <code>CollectionAccumulator</code>, which starts with empty list and accumulates
+ inputs by adding them into the list.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/util/CollectionAccumulator.html" title="class in org.apache.spark.util">CollectionAccumulator</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#collectionAccumulator(java.lang.String)">collectionAccumulator</a></strong>(String name)</code>
+<div class="block">Create and register a <code>CollectionAccumulator</code>, which starts with empty list and accumulates
+ inputs by adding them into the list.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>int</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#defaultMinPartitions()">defaultMinPartitions</a></strong>()</code>
+<div class="block">Default min number of partitions for Hadoop RDDs when not given by user
+ Notice that we use math.min so the "defaultMinPartitions" cannot be higher than 2.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>int</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#defaultParallelism()">defaultParallelism</a></strong>()</code>
+<div class="block">Default level of parallelism to use when not given by user (e.g.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>String</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#deployMode()">deployMode</a></strong>()</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/util/DoubleAccumulator.html" title="class in org.apache.spark.util">DoubleAccumulator</a></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#doubleAccumulator()">doubleAccumulator</a></strong>()</code>
+<div class="block">Create and register a double accumulator, which starts with 0 and accumulates inputs by <code>add</code>.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/util/DoubleAccumulator.html" title="class in org.apache.spark.util">DoubleAccumulator</a></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#doubleAccumulator(java.lang.String)">doubleAccumulator</a></strong>(String name)</code>
+<div class="block">Create and register a double accumulator, which starts with 0 and accumulates inputs by <code>add</code>.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#emptyRDD(scala.reflect.ClassTag)">emptyRDD</a></strong>(scala.reflect.ClassTag<T> evidence$8)</code>
+<div class="block">Get an RDD that has no partitions or elements.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>scala.collection.Seq<String></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#files()">files</a></strong>()</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>scala.collection.Seq<org.apache.spark.scheduler.Schedulable></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getAllPools()">getAllPools</a></strong>()</code>
+<div class="block">:: DeveloperApi ::
+ Return pools for fair scheduler</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>scala.Option<String></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getCheckpointDir()">getCheckpointDir</a></strong>()</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/SparkConf.html" title="class in org.apache.spark">SparkConf</a></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getConf()">getConf</a></strong>()</code>
+<div class="block">Return a copy of this SparkContext's configuration.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>scala.collection.Map<String,scala.Tuple2<Object,Object>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getExecutorMemoryStatus()">getExecutorMemoryStatus</a></strong>()</code>
+<div class="block">Return a map from the slave to the max memory available for caching and the remaining
+ memory available for caching.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/storage/StorageStatus.html" title="class in org.apache.spark.storage">StorageStatus</a>[]</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getExecutorStorageStatus()">getExecutorStorageStatus</a></strong>()</code>
+<div class="block">:: DeveloperApi ::
+ Return information about blocks stored in all of the slaves</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>String</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getLocalProperty(java.lang.String)">getLocalProperty</a></strong>(String key)</code>
+<div class="block">Get a local property set in this thread, or null if it is missing.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>static <a href="../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getOrCreate()">getOrCreate</a></strong>()</code>
+<div class="block">This function may be used to get or instantiate a SparkContext and register it as a
+ singleton object.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>static <a href="../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getOrCreate(org.apache.spark.SparkConf)">getOrCreate</a></strong>(<a href="../../../org/apache/spark/SparkConf.html" title="class in org.apache.spark">SparkConf</a> config)</code>
+<div class="block">This function may be used to get or instantiate a SparkContext and register it as a
+ singleton object.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>scala.collection.Map<Object,<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><?>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getPersistentRDDs()">getPersistentRDDs</a></strong>()</code>
+<div class="block">Returns an immutable map of RDDs that have marked themselves as persistent via cache() call.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>scala.Option<org.apache.spark.scheduler.Schedulable></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getPoolForName(java.lang.String)">getPoolForName</a></strong>(String pool)</code>
+<div class="block">:: DeveloperApi ::
+ Return the pool associated with the given name, if one exists</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/storage/RDDInfo.html" title="class in org.apache.spark.storage">RDDInfo</a>[]</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getRDDStorageInfo()">getRDDStorageInfo</a></strong>()</code>
+<div class="block">:: DeveloperApi ::
+ Return information about what RDDs are cached, if they are in mem or on disk, how much space
+ they take, etc.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>scala.Enumeration.Value</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#getSchedulingMode()">getSchedulingMode</a></strong>()</code>
+<div class="block">Return current scheduling mode</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>org.apache.hadoop.conf.Configuration</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#hadoopConfiguration()">hadoopConfiguration</a></strong>()</code>
+<div class="block">A default Hadoop Configuration for the Hadoop code (e.g.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><K,V> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#hadoopFile(java.lang.String,%20java.lang.Class,%20java.lang.Class,%20java.lang.Class,%20int)">hadoopFile</a></strong>(String path,
+ Class<? extends org.apache.hadoop.mapred.InputFormat<K,V>> inputFormatClass,
+ Class<K> keyClass,
+ Class<V> valueClass,
+ int minPartitions)</code>
+<div class="block">Get an RDD for a Hadoop file with an arbitrary InputFormat</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> <br><a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#hadoopFile(java.lang.String,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag)">hadoopFile</a></strong>(String path,
+ scala.reflect.ClassTag<K> km,
+ scala.reflect.ClassTag<V> vm,
+ scala.reflect.ClassTag<F> fm)</code>
+<div class="block">Smarter version of hadoopFile() that uses class tags to figure out the classes of keys,
+ values and the InputFormat so that users don't need to pass them directly.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> <br><a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#hadoopFile(java.lang.String,%20int,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag)">hadoopFile</a></strong>(String path,
+ int minPartitions,
+ scala.reflect.ClassTag<K> km,
+ scala.reflect.ClassTag<V> vm,
+ scala.reflect.ClassTag<F> fm)</code>
+<div class="block">Smarter version of hadoopFile() that uses class tags to figure out the classes of keys,
+ values and the InputFormat so that users don't need to pass them directly.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><K,V> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#hadoopRDD(org.apache.hadoop.mapred.JobConf,%20java.lang.Class,%20java.lang.Class,%20java.lang.Class,%20int)">hadoopRDD</a></strong>(org.apache.hadoop.mapred.JobConf conf,
+ Class<? extends org.apache.hadoop.mapred.InputFormat<K,V>> inputFormatClass,
+ Class<K> keyClass,
+ Class<V> valueClass,
+ int minPartitions)</code>
+<div class="block">Get an RDD for a Hadoop-readable dataset from a Hadoop JobConf given its InputFormat and other
+ necessary info (e.g.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>boolean</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#isLocal()">isLocal</a></strong>()</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>boolean</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#isStopped()">isStopped</a></strong>()</code> </td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>static scala.Option<String></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#jarOfClass(java.lang.Class)">jarOfClass</a></strong>(Class<?> cls)</code>
+<div class="block">Find the JAR from which a given class was loaded, to make it easy for users to pass
+ their JARs to SparkContext.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>static scala.Option<String></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#jarOfObject(java.lang.Object)">jarOfObject</a></strong>(Object obj)</code>
+<div class="block">Find the JAR that contains the class of a particular object, to make it easy for users
+ to pass their JARs to SparkContext.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>scala.collection.Seq<String></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#jars()">jars</a></strong>()</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>boolean</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#killExecutor(java.lang.String)">killExecutor</a></strong>(String executorId)</code>
+<div class="block">:: DeveloperApi ::
+ Request that the cluster manager kill the specified executor.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>boolean</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#killExecutors(scala.collection.Seq)">killExecutors</a></strong>(scala.collection.Seq<String> executorIds)</code>
+<div class="block">:: DeveloperApi ::
+ Request that the cluster manager kill the specified executors.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>scala.collection.Seq<String></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#listFiles()">listFiles</a></strong>()</code>
+<div class="block">Returns a list of file paths that are added to resources.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>scala.collection.Seq<String></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#listJars()">listJars</a></strong>()</code>
+<div class="block">Returns a list of jar files that are added to resources.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/util/LongAccumulator.html" title="class in org.apache.spark.util">LongAccumulator</a></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#longAccumulator()">longAccumulator</a></strong>()</code>
+<div class="block">Create and register a long accumulator, which starts with 0 and accumulates inputs by <code>add</code>.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/util/LongAccumulator.html" title="class in org.apache.spark.util">LongAccumulator</a></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#longAccumulator(java.lang.String)">longAccumulator</a></strong>(String name)</code>
+<div class="block">Create and register a long accumulator, which starts with 0 and accumulates inputs by <code>add</code>.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#makeRDD(scala.collection.Seq,%20int,%20scala.reflect.ClassTag)">makeRDD</a></strong>(scala.collection.Seq<T> seq,
+ int numSlices,
+ scala.reflect.ClassTag<T> evidence$2)</code>
+<div class="block">Distribute a local Scala collection to form an RDD.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#makeRDD(scala.collection.Seq,%20scala.reflect.ClassTag)">makeRDD</a></strong>(scala.collection.Seq<scala.Tuple2<T,scala.collection.Seq<String>>> seq,
+ scala.reflect.ClassTag<T> evidence$3)</code>
+<div class="block">Distribute a local Scala collection to form an RDD, with one or more
+ location preferences (hostnames of Spark nodes) for each object.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>String</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#master()">master</a></strong>()</code> </td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><K,V,F extends org.apache.hadoop.mapreduce.InputFormat<K,V>> <br><a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#newAPIHadoopFile(java.lang.String,%20java.lang.Class,%20java.lang.Class,%20java.lang.Class,%20org.apache.hadoop.conf.Configuration)">newAPIHadoopFile</a></strong>(String path,
+ Class<F> fClass,
+ Class<K> kClass,
+ Class<V> vClass,
+ org.apache.hadoop.conf.Configuration conf)</code>
+<div class="block">Get an RDD for a given Hadoop file with an arbitrary new API InputFormat
+ and extra configuration options to pass to the input format.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><K,V,F extends org.apache.hadoop.mapreduce.InputFormat<K,V>> <br><a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#newAPIHadoopFile(java.lang.String,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag)">newAPIHadoopFile</a></strong>(String path,
+ scala.reflect.ClassTag<K> km,
+ scala.reflect.ClassTag<V> vm,
+ scala.reflect.ClassTag<F> fm)</code>
+<div class="block">Get an RDD for a Hadoop file with an arbitrary new API InputFormat.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><K,V,F extends org.apache.hadoop.mapreduce.InputFormat<K,V>> <br><a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#newAPIHadoopRDD(org.apache.hadoop.conf.Configuration,%20java.lang.Class,%20java.lang.Class,%20java.lang.Class)">newAPIHadoopRDD</a></strong>(org.apache.hadoop.conf.Configuration conf,
+ Class<F> fClass,
+ Class<K> kClass,
+ Class<V> vClass)</code>
+<div class="block">Get an RDD for a given Hadoop file with an arbitrary new API InputFormat
+ and extra configuration options to pass to the input format.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#objectFile(java.lang.String,%20int,%20scala.reflect.ClassTag)">objectFile</a></strong>(String path,
+ int minPartitions,
+ scala.reflect.ClassTag<T> evidence$4)</code>
+<div class="block">Load an RDD saved as a SequenceFile containing serialized objects, with NullWritable keys and
+ BytesWritable values that contain a serialized partition.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#parallelize(scala.collection.Seq,%20int,%20scala.reflect.ClassTag)">parallelize</a></strong>(scala.collection.Seq<T> seq,
+ int numSlices,
+ scala.reflect.ClassTag<T> evidence$1)</code>
+<div class="block">Distribute a local Scala collection to form an RDD.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><Object></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#range(long,%20long,%20long,%20int)">range</a></strong>(long start,
+ long end,
+ long step,
+ int numSlices)</code>
+<div class="block">Creates a new RDD[Long] containing elements from <code>start</code> to <code>end</code>(exclusive), increased by
+ <code>step</code> every element.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#register(org.apache.spark.util.AccumulatorV2)">register</a></strong>(<a href="../../../org/apache/spark/util/AccumulatorV2.html" title="class in org.apache.spark.util">AccumulatorV2</a><?,?> acc)</code>
+<div class="block">Register the given accumulator.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#register(org.apache.spark.util.AccumulatorV2,%20java.lang.String)">register</a></strong>(<a href="../../../org/apache/spark/util/AccumulatorV2.html" title="class in org.apache.spark.util">AccumulatorV2</a><?,?> acc,
+ String name)</code>
+<div class="block">Register the given accumulator with given name.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>boolean</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#requestExecutors(int)">requestExecutors</a></strong>(int numAdditionalExecutors)</code>
+<div class="block">:: DeveloperApi ::
+ Request an additional number of executors from the cluster manager.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>boolean</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#requestTotalExecutors(int,%20int,%20scala.collection.immutable.Map)">requestTotalExecutors</a></strong>(int numExecutors,
+ int localityAwareTasks,
+ scala.collection.immutable.Map<String,Object> hostToLocalTaskCount)</code>
+<div class="block">Update the cluster manager on our scheduling needs.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><T,U,R> <a href="../../../org/apache/spark/partial/PartialResult.html" title="class in org.apache.spark.partial">PartialResult</a><R></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#runApproximateJob(org.apache.spark.rdd.RDD,%20scala.Function2,%20,%20long)">runApproximateJob</a></strong>(<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> rdd,
+ scala.Function2<<a href="../../../org/apache/spark/TaskContext.html" title="class in org.apache.spark">TaskContext</a>,scala.collection.Iterator<T>,U> func,
+ <any> evaluator,
+ long timeout)</code>
+<div class="block">:: DeveloperApi ::
+ Run a job that can return approximate results.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T,U> Object</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#runJob(org.apache.spark.rdd.RDD,%20scala.Function1,%20scala.reflect.ClassTag)">runJob</a></strong>(<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> rdd,
+ scala.Function1<scala.collection.Iterator<T>,U> func,
+ scala.reflect.ClassTag<U> evidence$16)</code>
+<div class="block">Run a job on all partitions in an RDD and return the results in an array.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><T,U> void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#runJob(org.apache.spark.rdd.RDD,%20scala.Function1,%20scala.Function2,%20scala.reflect.ClassTag)">runJob</a></strong>(<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> rdd,
+ scala.Function1<scala.collection.Iterator<T>,U> processPartition,
+ scala.Function2<Object,U,scala.runtime.BoxedUnit> resultHandler,
+ scala.reflect.ClassTag<U> evidence$18)</code>
+<div class="block">Run a job on all partitions in an RDD and pass the results to a handler function.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T,U> Object</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#runJob(org.apache.spark.rdd.RDD,%20scala.Function1,%20scala.collection.Seq,%20scala.reflect.ClassTag)">runJob</a></strong>(<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> rdd,
+ scala.Function1<scala.collection.Iterator<T>,U> func,
+ scala.collection.Seq<Object> partitions,
+ scala.reflect.ClassTag<U> evidence$14)</code>
+<div class="block">Run a job on a given set of partitions of an RDD, but take a function of type
+ <code>Iterator[T] => U</code> instead of <code>(TaskContext, Iterator[T]) => U</code>.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><T,U> Object</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#runJob(org.apache.spark.rdd.RDD,%20scala.Function2,%20scala.reflect.ClassTag)">runJob</a></strong>(<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> rdd,
+ scala.Function2<<a href="../../../org/apache/spark/TaskContext.html" title="class in org.apache.spark">TaskContext</a>,scala.collection.Iterator<T>,U> func,
+ scala.reflect.ClassTag<U> evidence$15)</code>
+<div class="block">Run a job on all partitions in an RDD and return the results in an array.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T,U> void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#runJob(org.apache.spark.rdd.RDD,%20scala.Function2,%20scala.Function2,%20scala.reflect.ClassTag)">runJob</a></strong>(<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> rdd,
+ scala.Function2<<a href="../../../org/apache/spark/TaskContext.html" title="class in org.apache.spark">TaskContext</a>,scala.collection.Iterator<T>,U> processPartition,
+ scala.Function2<Object,U,scala.runtime.BoxedUnit> resultHandler,
+ scala.reflect.ClassTag<U> evidence$17)</code>
+<div class="block">Run a job on all partitions in an RDD and pass the results to a handler function.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><T,U> Object</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#runJob(org.apache.spark.rdd.RDD,%20scala.Function2,%20scala.collection.Seq,%20scala.reflect.ClassTag)">runJob</a></strong>(<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> rdd,
+ scala.Function2<<a href="../../../org/apache/spark/TaskContext.html" title="class in org.apache.spark">TaskContext</a>,scala.collection.Iterator<T>,U> func,
+ scala.collection.Seq<Object> partitions,
+ scala.reflect.ClassTag<U> evidence$13)</code>
+<div class="block">Run a function on a given set of partitions in an RDD and return the results as an array.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T,U> void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#runJob(org.apache.spark.rdd.RDD,%20scala.Function2,%20scala.collection.Seq,%20scala.Function2,%20scala.reflect.ClassTag)">runJob</a></strong>(<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> rdd,
+ scala.Function2<<a href="../../../org/apache/spark/TaskContext.html" title="class in org.apache.spark">TaskContext</a>,scala.collection.Iterator<T>,U> func,
+ scala.collection.Seq<Object> partitions,
+ scala.Function2<Object,U,scala.runtime.BoxedUnit> resultHandler,
+ scala.reflect.ClassTag<U> evidence$12)</code>
+<div class="block">Run a function on a given set of partitions in an RDD and pass the results to the given
+ handler function.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><K,V> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#sequenceFile(java.lang.String,%20java.lang.Class,%20java.lang.Class)">sequenceFile</a></strong>(String path,
+ Class<K> keyClass,
+ Class<V> valueClass)</code>
+<div class="block">Get an RDD for a Hadoop SequenceFile with given key and value types.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><K,V> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#sequenceFile(java.lang.String,%20java.lang.Class,%20java.lang.Class,%20int)">sequenceFile</a></strong>(String path,
+ Class<K> keyClass,
+ Class<V> valueClass,
+ int minPartitions)</code>
+<div class="block">Get an RDD for a Hadoop SequenceFile with given key and value types.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><K,V> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#sequenceFile(java.lang.String,%20int,%20scala.reflect.ClassTag,%20scala.reflect.ClassTag,%20scala.Function0,%20scala.Function0)">sequenceFile</a></strong>(String path,
+ int minPartitions,
+ scala.reflect.ClassTag<K> km,
+ scala.reflect.ClassTag<V> vm,
+ scala.Function0<org.apache.spark.WritableConverter<K>> kcf,
+ scala.Function0<org.apache.spark.WritableConverter<V>> vcf)</code>
+<div class="block">Version of sequenceFile() for types implicitly convertible to Writables through a
+ WritableConverter.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#setCallSite(java.lang.String)">setCallSite</a></strong>(String shortCallSite)</code>
+<div class="block">Set the thread-local property for overriding the call sites
+ of actions and RDDs.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#setCheckpointDir(java.lang.String)">setCheckpointDir</a></strong>(String directory)</code>
+<div class="block">Set the directory under which RDDs are going to be checkpointed.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#setJobDescription(java.lang.String)">setJobDescription</a></strong>(String value)</code>
+<div class="block">Set a human readable description of the current job.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#setJobGroup(java.lang.String,%20java.lang.String,%20boolean)">setJobGroup</a></strong>(String groupId,
+ String description,
+ boolean interruptOnCancel)</code>
+<div class="block">Assigns a group ID to all the jobs started by this thread until the group ID is set to a
+ different value or cleared.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#setLocalProperty(java.lang.String,%20java.lang.String)">setLocalProperty</a></strong>(String key,
+ String value)</code>
+<div class="block">Set a local property that affects jobs submitted from this thread, such as the Spark fair
+ scheduler pool.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#setLogLevel(java.lang.String)">setLogLevel</a></strong>(String logLevel)</code>
+<div class="block">Control our logLevel.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>String</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#sparkUser()">sparkUser</a></strong>()</code> </td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>long</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#startTime()">startTime</a></strong>()</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/SparkStatusTracker.html" title="class in org.apache.spark">SparkStatusTracker</a></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#statusTracker()">statusTracker</a></strong>()</code> </td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>void</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#stop()">stop</a></strong>()</code> </td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T,U,R> <a href="../../../org/apache/spark/SimpleFutureAction.html" title="class in org.apache.spark">SimpleFutureAction</a><R></code></td>
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+ scala.Function1<scala.collection.Iterator<T>,U> processPartition,
+ scala.collection.Seq<Object> partitions,
+ scala.Function2<Object,U,scala.runtime.BoxedUnit> resultHandler,
+ scala.Function0<R> resultFunc)</code>
+<div class="block">Submit a job for execution and return a FutureJob holding the result.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><String></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#textFile(java.lang.String,%20int)">textFile</a></strong>(String path,
+ int minPartitions)</code>
+<div class="block">Read a text file from HDFS, a local file system (available on all nodes), or any
+ Hadoop-supported file system URI, and return it as an RDD of Strings.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code>scala.Option<String></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#uiWebUrl()">uiWebUrl</a></strong>()</code> </td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#union(org.apache.spark.rdd.RDD,%20scala.collection.Seq,%20scala.reflect.ClassTag)">union</a></strong>(<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> first,
+ scala.collection.Seq<<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T>> rest,
+ scala.reflect.ClassTag<T> evidence$7)</code>
+<div class="block">Build the union of a list of RDDs passed as variable-length arguments.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><T> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#union(scala.collection.Seq,%20scala.reflect.ClassTag)">union</a></strong>(scala.collection.Seq<<a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T>> rdds,
+ scala.reflect.ClassTag<T> evidence$6)</code>
+<div class="block">Build the union of a list of RDDs.</div>
+</td>
+</tr>
+<tr class="rowColor">
+<td class="colFirst"><code>String</code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#version()">version</a></strong>()</code>
+<div class="block">The version of Spark on which this application is running.</div>
+</td>
+</tr>
+<tr class="altColor">
+<td class="colFirst"><code><a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<String,String>></code></td>
+<td class="colLast"><code><strong><a href="../../../org/apache/spark/SparkContext.html#wholeTextFiles(java.lang.String,%20int)">wholeTextFiles</a></strong>(String path,
+ int minPartitions)</code>
+<div class="block">Read a directory of text files from HDFS, a local file system (available on all nodes), or any
+ Hadoop-supported file system URI.</div>
+</td>
+</tr>
+</table>
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+<li class="blockList"><a name="methods_inherited_from_class_Object">
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+<h3>Methods inherited from class Object</h3>
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+</ul>
+</li>
+</ul>
+</li>
+</ul>
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+<a name="SparkContext(org.apache.spark.SparkConf)">
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+<ul class="blockList">
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+<pre>public SparkContext(<a href="../../../org/apache/spark/SparkConf.html" title="class in org.apache.spark">SparkConf</a> config)</pre>
+</li>
+</ul>
+<a name="SparkContext()">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>SparkContext</h4>
+<pre>public SparkContext()</pre>
+<div class="block">Create a SparkContext that loads settings from system properties (for instance, when
+ launching with ./bin/spark-submit).</div>
+</li>
+</ul>
+<a name="SparkContext(java.lang.String, java.lang.String, org.apache.spark.SparkConf)">
+<!-- -->
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+<ul class="blockList">
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+<h4>SparkContext</h4>
+<pre>public SparkContext(String master,
+ String appName,
+ <a href="../../../org/apache/spark/SparkConf.html" title="class in org.apache.spark">SparkConf</a> conf)</pre>
+<div class="block">Alternative constructor that allows setting common Spark properties directly
+ <p></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>master</code> - Cluster URL to connect to (e.g. mesos://host:port, spark://host:port, local[4]).</dd><dd><code>appName</code> - A name for your application, to display on the cluster web UI</dd><dd><code>conf</code> - a <a href="../../../org/apache/spark/SparkConf.html" title="class in org.apache.spark"><code>SparkConf</code></a> object specifying other Spark parameters</dd></dl>
+</li>
+</ul>
+<a name="SparkContext(java.lang.String, java.lang.String, java.lang.String, scala.collection.Seq, scala.collection.Map)">
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+<h4>SparkContext</h4>
+<pre>public SparkContext(String master,
+ String appName,
+ String sparkHome,
+ scala.collection.Seq<String> jars,
+ scala.collection.Map<String,String> environment)</pre>
+<div class="block">Alternative constructor that allows setting common Spark properties directly
+ <p></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>master</code> - Cluster URL to connect to (e.g. mesos://host:port, spark://host:port, local[4]).</dd><dd><code>appName</code> - A name for your application, to display on the cluster web UI.</dd><dd><code>sparkHome</code> - Location where Spark is installed on cluster nodes.</dd><dd><code>jars</code> - Collection of JARs to send to the cluster. These can be paths on the local file
+ system or HDFS, HTTP, HTTPS, or FTP URLs.</dd><dd><code>environment</code> - Environment variables to set on worker nodes.</dd></dl>
+</li>
+</ul>
+</li>
+</ul>
+<!-- ============ METHOD DETAIL ========== -->
+<ul class="blockList">
+<li class="blockList"><a name="method_detail">
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+</a>
+<h3>Method Detail</h3>
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+<div class="block">This function may be used to get or instantiate a SparkContext and register it as a
+ singleton object. Because we can only have one active SparkContext per JVM,
+ this is useful when applications may wish to share a SparkContext.
+ <p>
+ Note: This function cannot be used to create multiple SparkContext instances
+ even if multiple contexts are allowed.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>config</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
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+</ul>
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+<pre>public static <a href="../../../org/apache/spark/SparkContext.html" title="class in org.apache.spark">SparkContext</a> getOrCreate()</pre>
+<div class="block">This function may be used to get or instantiate a SparkContext and register it as a
+ singleton object. Because we can only have one active SparkContext per JVM,
+ this is useful when applications may wish to share a SparkContext.
+ <p>
+ This method allows not passing a SparkConf (useful if just retrieving).
+ <p>
+ Note: This function cannot be used to create multiple SparkContext instances
+ even if multiple contexts are allowed.</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="jarOfClass(java.lang.Class)">
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+<pre>public static scala.Option<String> jarOfClass(Class<?> cls)</pre>
+<div class="block">Find the JAR from which a given class was loaded, to make it easy for users to pass
+ their JARs to SparkContext.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>cls</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
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+<pre>public static scala.Option<String> jarOfObject(Object obj)</pre>
+<div class="block">Find the JAR that contains the class of a particular object, to make it easy for users
+ to pass their JARs to SparkContext. In most cases you can call jarOfObject(this) in
+ your driver program.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>obj</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
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+<h4>startTime</h4>
+<pre>public long startTime()</pre>
+</li>
+</ul>
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+<h4>getConf</h4>
+<pre>public <a href="../../../org/apache/spark/SparkConf.html" title="class in org.apache.spark">SparkConf</a> getConf()</pre>
+<div class="block">Return a copy of this SparkContext's configuration. The configuration ''cannot'' be
+ changed at runtime.</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="jars()">
+<!-- -->
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+<h4>jars</h4>
+<pre>public scala.collection.Seq<String> jars()</pre>
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+</ul>
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+<ul class="blockList">
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+<h4>files</h4>
+<pre>public scala.collection.Seq<String> files()</pre>
+</li>
+</ul>
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+<ul class="blockList">
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+<h4>master</h4>
+<pre>public String master()</pre>
+</li>
+</ul>
+<a name="deployMode()">
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+<h4>deployMode</h4>
+<pre>public String deployMode()</pre>
+</li>
+</ul>
+<a name="appName()">
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+<h4>appName</h4>
+<pre>public String appName()</pre>
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+<h4>isLocal</h4>
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+<h4>isStopped</h4>
+<pre>public boolean isStopped()</pre>
+<dl><dt><span class="strong">Returns:</span></dt><dd>true if context is stopped or in the midst of stopping.</dd></dl>
+</li>
+</ul>
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+<pre>public org.apache.hadoop.conf.Configuration hadoopConfiguration()</pre>
+<div class="block">A default Hadoop Configuration for the Hadoop code (e.g. file systems) that we reuse.
+ <p>
+ '''Note:''' As it will be reused in all Hadoop RDDs, it's better not to modify it unless you
+ plan to set some global configurations for all Hadoop RDDs.</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="sparkUser()">
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+<h4>applicationId</h4>
+<pre>public String applicationId()</pre>
+<div class="block">A unique identifier for the Spark application.
+ Its format depends on the scheduler implementation.
+ (i.e.
+ in case of local spark app something like 'local-1433865536131'
+ in case of YARN something like 'application_1433865536131_34483'
+ )</div>
+<dl><dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="applicationAttemptId()">
+<!-- -->
+</a>
+<ul class="blockList">
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+<h4>applicationAttemptId</h4>
+<pre>public scala.Option<String> applicationAttemptId()</pre>
+</li>
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+<!-- -->
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+<ul class="blockList">
+<li class="blockList">
+<h4>setLogLevel</h4>
+<pre>public void setLogLevel(String logLevel)</pre>
+<div class="block">Control our logLevel. This overrides any user-defined log settings.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>logLevel</code> - The desired log level as a string.
+ Valid log levels include: ALL, DEBUG, ERROR, FATAL, INFO, OFF, TRACE, WARN</dd></dl>
+</li>
+</ul>
+<a name="setLocalProperty(java.lang.String, java.lang.String)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>setLocalProperty</h4>
+<pre>public void setLocalProperty(String key,
+ String value)</pre>
+<div class="block">Set a local property that affects jobs submitted from this thread, such as the Spark fair
+ scheduler pool. User-defined properties may also be set here. These properties are propagated
+ through to worker tasks and can be accessed there via
+ <a href="../../../org/apache/spark/TaskContext.html#getLocalProperty(java.lang.String)"><code>TaskContext.getLocalProperty(java.lang.String)</code></a>.
+ <p>
+ These properties are inherited by child threads spawned from this thread. This
+ may have unexpected consequences when working with thread pools. The standard java
+ implementation of thread pools have worker threads spawn other worker threads.
+ As a result, local properties may propagate unpredictably.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>key</code> - (undocumented)</dd><dd><code>value</code> - (undocumented)</dd></dl>
+</li>
+</ul>
+<a name="getLocalProperty(java.lang.String)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>getLocalProperty</h4>
+<pre>public String getLocalProperty(String key)</pre>
+<div class="block">Get a local property set in this thread, or null if it is missing. See
+ <code>org.apache.spark.SparkContext.setLocalProperty</code>.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>key</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="setJobDescription(java.lang.String)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>setJobDescription</h4>
+<pre>public void setJobDescription(String value)</pre>
+<div class="block">Set a human readable description of the current job.</div>
+</li>
+</ul>
+<a name="setJobGroup(java.lang.String, java.lang.String, boolean)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>setJobGroup</h4>
+<pre>public void setJobGroup(String groupId,
+ String description,
+ boolean interruptOnCancel)</pre>
+<div class="block">Assigns a group ID to all the jobs started by this thread until the group ID is set to a
+ different value or cleared.
+ <p>
+ Often, a unit of execution in an application consists of multiple Spark actions or jobs.
+ Application programmers can use this method to group all those jobs together and give a
+ group description. Once set, the Spark web UI will associate such jobs with this group.
+ <p>
+ The application can also use <code>org.apache.spark.SparkContext.cancelJobGroup</code> to cancel all
+ running jobs in this group. For example,
+ <pre><code>
+ // In the main thread:
+ sc.setJobGroup("some_job_to_cancel", "some job description")
+ sc.parallelize(1 to 10000, 2).map { i => Thread.sleep(10); i }.count()
+
+ // In a separate thread:
+ sc.cancelJobGroup("some_job_to_cancel")
+ </code></pre>
+ <p>
+ If interruptOnCancel is set to true for the job group, then job cancellation will result
+ in Thread.interrupt() being called on the job's executor threads. This is useful to help ensure
+ that the tasks are actually stopped in a timely manner, but is off by default due to HDFS-1208,
+ where HDFS may respond to Thread.interrupt() by marking nodes as dead.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>groupId</code> - (undocumented)</dd><dd><code>description</code> - (undocumented)</dd><dd><code>interruptOnCancel</code> - (undocumented)</dd></dl>
+</li>
+</ul>
+<a name="clearJobGroup()">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>clearJobGroup</h4>
+<pre>public void clearJobGroup()</pre>
+<div class="block">Clear the current thread's job group ID and its description.</div>
+</li>
+</ul>
+<a name="parallelize(scala.collection.Seq, int, scala.reflect.ClassTag)">
+<!-- -->
+</a>
+<ul class="blockList">
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+<h4>parallelize</h4>
+<pre>public <T> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> parallelize(scala.collection.Seq<T> seq,
+ int numSlices,
+ scala.reflect.ClassTag<T> evidence$1)</pre>
+<div class="block">Distribute a local Scala collection to form an RDD.
+ <p></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>seq</code> - (undocumented)</dd><dd><code>numSlices</code> - (undocumented)</dd><dd><code>evidence$1</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="range(long, long, long, int)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>range</h4>
+<pre>public <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><Object> range(long start,
+ long end,
+ long step,
+ int numSlices)</pre>
+<div class="block">Creates a new RDD[Long] containing elements from <code>start</code> to <code>end</code>(exclusive), increased by
+ <code>step</code> every element.
+ <p></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>start</code> - the start value.</dd><dd><code>end</code> - the end value.</dd><dd><code>step</code> - the incremental step</dd><dd><code>numSlices</code> - the partition number of the new RDD.</dd>
+<dt><span class="strong">Returns:</span></dt><dd></dd></dl>
+</li>
+</ul>
+<a name="makeRDD(scala.collection.Seq, int, scala.reflect.ClassTag)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>makeRDD</h4>
+<pre>public <T> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> makeRDD(scala.collection.Seq<T> seq,
+ int numSlices,
+ scala.reflect.ClassTag<T> evidence$2)</pre>
+<div class="block">Distribute a local Scala collection to form an RDD.
+ <p>
+ This method is identical to <code>parallelize</code>.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>seq</code> - (undocumented)</dd><dd><code>numSlices</code> - (undocumented)</dd><dd><code>evidence$2</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="makeRDD(scala.collection.Seq, scala.reflect.ClassTag)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>makeRDD</h4>
+<pre>public <T> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><T> makeRDD(scala.collection.Seq<scala.Tuple2<T,scala.collection.Seq<String>>> seq,
+ scala.reflect.ClassTag<T> evidence$3)</pre>
+<div class="block">Distribute a local Scala collection to form an RDD, with one or more
+ location preferences (hostnames of Spark nodes) for each object.
+ Create a new partition for each collection item.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>seq</code> - (undocumented)</dd><dd><code>evidence$3</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="textFile(java.lang.String, int)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>textFile</h4>
+<pre>public <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><String> textFile(String path,
+ int minPartitions)</pre>
+<div class="block">Read a text file from HDFS, a local file system (available on all nodes), or any
+ Hadoop-supported file system URI, and return it as an RDD of Strings.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>path</code> - (undocumented)</dd><dd><code>minPartitions</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="wholeTextFiles(java.lang.String, int)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>wholeTextFiles</h4>
+<pre>public <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<String,String>> wholeTextFiles(String path,
+ int minPartitions)</pre>
+<div class="block">Read a directory of text files from HDFS, a local file system (available on all nodes), or any
+ Hadoop-supported file system URI. Each file is read as a single record and returned in a
+ key-value pair, where the key is the path of each file, the value is the content of each file.
+ <p>
+ <p> For example, if you have the following files:
+ <pre><code>
+ hdfs://a-hdfs-path/part-00000
+ hdfs://a-hdfs-path/part-00001
+ ...
+ hdfs://a-hdfs-path/part-nnnnn
+ </code></pre>
+ <p>
+ Do <code>val rdd = sparkContext.wholeTextFile("hdfs://a-hdfs-path")</code>,
+ <p>
+ <p> then <code>rdd</code> contains
+ <pre><code>
+ (a-hdfs-path/part-00000, its content)
+ (a-hdfs-path/part-00001, its content)
+ ...
+ (a-hdfs-path/part-nnnnn, its content)
+ </code></pre>
+ <p></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>path</code> - Directory to the input data files, the path can be comma separated paths as the
+ list of inputs.</dd><dd><code>minPartitions</code> - A suggestion value of the minimal splitting number for input data.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="binaryFiles(java.lang.String, int)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>binaryFiles</h4>
+<pre>public <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<String,<a href="../../../org/apache/spark/input/PortableDataStream.html" title="class in org.apache.spark.input">PortableDataStream</a>>> binaryFiles(String path,
+ int minPartitions)</pre>
+<div class="block">Get an RDD for a Hadoop-readable dataset as PortableDataStream for each file
+ (useful for binary data)
+ <p>
+ For example, if you have the following files:
+ <pre><code>
+ hdfs://a-hdfs-path/part-00000
+ hdfs://a-hdfs-path/part-00001
+ ...
+ hdfs://a-hdfs-path/part-nnnnn
+ </code></pre>
+ <p>
+ Do
+ <code>val rdd = sparkContext.binaryFiles("hdfs://a-hdfs-path")</code>,
+ <p>
+ then <code>rdd</code> contains
+ <pre><code>
+ (a-hdfs-path/part-00000, its content)
+ (a-hdfs-path/part-00001, its content)
+ ...
+ (a-hdfs-path/part-nnnnn, its content)
+ </code></pre>
+ <p></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>path</code> - Directory to the input data files, the path can be comma separated paths as the
+ list of inputs.</dd><dd><code>minPartitions</code> - A suggestion value of the minimal splitting number for input data.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="binaryRecords(java.lang.String, int, org.apache.hadoop.conf.Configuration)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>binaryRecords</h4>
+<pre>public <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><byte[]> binaryRecords(String path,
+ int recordLength,
+ org.apache.hadoop.conf.Configuration conf)</pre>
+<div class="block">Load data from a flat binary file, assuming the length of each record is constant.
+ <p>
+ '''Note:''' We ensure that the byte array for each record in the resulting RDD
+ has the provided record length.
+ <p></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>path</code> - Directory to the input data files, the path can be comma separated paths as the
+ list of inputs.</dd><dd><code>recordLength</code> - The length at which to split the records</dd><dd><code>conf</code> - Configuration for setting up the dataset.
+ <p></dd>
+<dt><span class="strong">Returns:</span></dt><dd>An RDD of data with values, represented as byte arrays</dd></dl>
+</li>
+</ul>
+<a name="hadoopRDD(org.apache.hadoop.mapred.JobConf, java.lang.Class, java.lang.Class, java.lang.Class, int)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>hadoopRDD</h4>
+<pre>public <K,V> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>> hadoopRDD(org.apache.hadoop.mapred.JobConf conf,
+ Class<? extends org.apache.hadoop.mapred.InputFormat<K,V>> inputFormatClass,
+ Class<K> keyClass,
+ Class<V> valueClass,
+ int minPartitions)</pre>
+<div class="block">Get an RDD for a Hadoop-readable dataset from a Hadoop JobConf given its InputFormat and other
+ necessary info (e.g. file name for a filesystem-based dataset, table name for HyperTable),
+ using the older MapReduce API (<code>org.apache.hadoop.mapred</code>).
+ <p></div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>conf</code> - JobConf for setting up the dataset. Note: This will be put into a Broadcast.
+ Therefore if you plan to reuse this conf to create multiple RDDs, you need to make
+ sure you won't modify the conf. A safe approach is always creating a new conf for
+ a new RDD.</dd><dd><code>inputFormatClass</code> - Class of the InputFormat</dd><dd><code>keyClass</code> - Class of the keys</dd><dd><code>valueClass</code> - Class of the values</dd><dd><code>minPartitions</code> - Minimum number of Hadoop Splits to generate.
+ <p>
+ '''Note:''' Because Hadoop's RecordReader class re-uses the same Writable object for each
+ record, directly caching the returned RDD or directly passing it to an aggregation or shuffle
+ operation will create many references to the same object.
+ If you plan to directly cache, sort, or aggregate Hadoop writable objects, you should first
+ copy them using a <code>map</code> function.</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="hadoopFile(java.lang.String, java.lang.Class, java.lang.Class, java.lang.Class, int)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>hadoopFile</h4>
+<pre>public <K,V> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>> hadoopFile(String path,
+ Class<? extends org.apache.hadoop.mapred.InputFormat<K,V>> inputFormatClass,
+ Class<K> keyClass,
+ Class<V> valueClass,
+ int minPartitions)</pre>
+<div class="block">Get an RDD for a Hadoop file with an arbitrary InputFormat
+ <p>
+ '''Note:''' Because Hadoop's RecordReader class re-uses the same Writable object for each
+ record, directly caching the returned RDD or directly passing it to an aggregation or shuffle
+ operation will create many references to the same object.
+ If you plan to directly cache, sort, or aggregate Hadoop writable objects, you should first
+ copy them using a <code>map</code> function.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>path</code> - (undocumented)</dd><dd><code>inputFormatClass</code> - (undocumented)</dd><dd><code>keyClass</code> - (undocumented)</dd><dd><code>valueClass</code> - (undocumented)</dd><dd><code>minPartitions</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="hadoopFile(java.lang.String, int, scala.reflect.ClassTag, scala.reflect.ClassTag, scala.reflect.ClassTag)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>hadoopFile</h4>
+<pre>public <K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>> hadoopFile(String path,
+ int minPartitions,
+ scala.reflect.ClassTag<K> km,
+ scala.reflect.ClassTag<V> vm,
+ scala.reflect.ClassTag<F> fm)</pre>
+<div class="block">Smarter version of hadoopFile() that uses class tags to figure out the classes of keys,
+ values and the InputFormat so that users don't need to pass them directly. Instead, callers
+ can just write, for example,
+ <pre><code>
+ val file = sparkContext.hadoopFile[LongWritable, Text, TextInputFormat](path, minPartitions)
+ </code></pre>
+ <p>
+ '''Note:''' Because Hadoop's RecordReader class re-uses the same Writable object for each
+ record, directly caching the returned RDD or directly passing it to an aggregation or shuffle
+ operation will create many references to the same object.
+ If you plan to directly cache, sort, or aggregate Hadoop writable objects, you should first
+ copy them using a <code>map</code> function.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>path</code> - (undocumented)</dd><dd><code>minPartitions</code> - (undocumented)</dd><dd><code>km</code> - (undocumented)</dd><dd><code>vm</code> - (undocumented)</dd><dd><code>fm</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="hadoopFile(java.lang.String, scala.reflect.ClassTag, scala.reflect.ClassTag, scala.reflect.ClassTag)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>hadoopFile</h4>
+<pre>public <K,V,F extends org.apache.hadoop.mapred.InputFormat<K,V>> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>> hadoopFile(String path,
+ scala.reflect.ClassTag<K> km,
+ scala.reflect.ClassTag<V> vm,
+ scala.reflect.ClassTag<F> fm)</pre>
+<div class="block">Smarter version of hadoopFile() that uses class tags to figure out the classes of keys,
+ values and the InputFormat so that users don't need to pass them directly. Instead, callers
+ can just write, for example,
+ <pre><code>
+ val file = sparkContext.hadoopFile[LongWritable, Text, TextInputFormat](path)
+ </code></pre>
+ <p>
+ '''Note:''' Because Hadoop's RecordReader class re-uses the same Writable object for each
+ record, directly caching the returned RDD or directly passing it to an aggregation or shuffle
+ operation will create many references to the same object.
+ If you plan to directly cache, sort, or aggregate Hadoop writable objects, you should first
+ copy them using a <code>map</code> function.</div>
+<dl><dt><span class="strong">Parameters:</span></dt><dd><code>path</code> - (undocumented)</dd><dd><code>km</code> - (undocumented)</dd><dd><code>vm</code> - (undocumented)</dd><dd><code>fm</code> - (undocumented)</dd>
+<dt><span class="strong">Returns:</span></dt><dd>(undocumented)</dd></dl>
+</li>
+</ul>
+<a name="newAPIHadoopFile(java.lang.String, scala.reflect.ClassTag, scala.reflect.ClassTag, scala.reflect.ClassTag)">
+<!-- -->
+</a>
+<ul class="blockList">
+<li class="blockList">
+<h4>newAPIHadoopFile</h4>
+<pre>public <K,V,F extends org.apache.hadoop.mapreduce.InputFormat<K,V>> <a href="../../../org/apache/spark/rdd/RDD.html" title="class in org.apache.spark.rdd">RDD</a><scala.Tuple2<K,V>> newAPIHadoopFile(String path,
+ scala.reflect.ClassTag<K> km,
+ scala.reflect.ClassTag<V> vm,
+ scala.reflect.ClassTag<F> fm)</pre>
+<div class="block">Get an RDD for a Hadoop file with an arbitrary new API InputFormat.</div>
+</li>
+</ul>
+<a name="newAPIHadoopFile(java.lang.String, java.lang.Class, java.lang.Class, java.lang.Class, org.apache.hadoop.conf.Configurat
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