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<p class="shortcomment cmt">Core Spark functionality.</p><div class="fullcomment"><div class="comment cmt"><p>Core Spark functionality. <a href="../SparkContext.html" class="extype" name="org.apache.spark.SparkContext">org.apache.spark.SparkContext</a> serves as the main entry point to
Spark, while <a href="../rdd/RDD.html" class="extype" name="org.apache.spark.rdd.RDD">org.apache.spark.rdd.RDD</a> is the data type representing a distributed collection,
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<p class="shortcomment cmt">Spark's broadcast variables, used to broadcast immutable datasets to all nodes.</p><div class="fullcomment"><div class="comment cmt"><p>Spark's broadcast variables, used to broadcast immutable datasets to all nodes.
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GraphX is a graph processing framework built on top of Spark.
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<p class="shortcomment cmt">IO codecs used for compression.</p><div class="fullcomment"><div class="comment cmt"><p>IO codecs used for compression. See <a href="../io/CompressionCodec.html" class="extype" name="org.apache.spark.io.CompressionCodec">org.apache.spark.io.CompressionCodec</a>.
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<p class="shortcomment cmt">DataFrame-based machine learning APIs to let users quickly assemble and configure practical
machine learning pipelines.</p><div class="fullcomment"><div class="comment cmt"><p>DataFrame-based machine learning APIs to let users quickly assemble and configure practical
machine learning pipelines.
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<p class="shortcomment cmt">RDD-based machine learning APIs (in maintenance mode).</p><div class="fullcomment"><div class="comment cmt"><p>RDD-based machine learning APIs (in maintenance mode).</p><p>The <code>spark.mllib</code> package is in maintenance mode as of the Spark 2.0.0 release to encourage
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<p class="shortcomment cmt">Support for approximate results.</p><div class="fullcomment"><div class="comment cmt"><p>Support for approximate results. This provides convenient api and also implementation for
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<p class="shortcomment cmt">Provides several RDD implementations.</p><div class="fullcomment"><div class="comment cmt"><p>Provides several RDD implementations. See <a href="../rdd/RDD.html" class="extype" name="org.apache.spark.rdd.RDD">org.apache.spark.rdd.RDD</a>.
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<p class="shortcomment cmt">Spark's scheduling components.</p><div class="fullcomment"><div class="comment cmt"><p>Spark's scheduling components. This includes the <code>org.apache.spark.scheduler.DAGScheduler</code> and
lower level <code>org.apache.spark.scheduler.TaskScheduler</code>.
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<p class="shortcomment cmt">Pluggable serializers for RDD and shuffle data.</p><div class="fullcomment"><div class="comment cmt"><p>Pluggable serializers for RDD and shuffle data.
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<p class="shortcomment cmt">Allows the execution of relational queries, including those expressed in SQL using Spark.</p><div class="fullcomment"><div class="comment cmt"><p>Allows the execution of relational queries, including those expressed in SQL using Spark.
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