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core/src/main/scala/org/apache/spark/Aggregator.scala

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@@ -27,7 +27,6 @@ import org.apache.spark.util.collection.{AppendOnlyMap, ExternalAppendOnlyMap}
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* @param mergeValue function to merge a new value into the aggregation result.
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* @param mergeCombiners function to merge outputs from multiple mergeValue function.
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*/
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case class Aggregator[K, V, C] (
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createCombiner: V => C,
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mergeValue: (C, V) => C,

core/src/main/scala/org/apache/spark/SparkContext.scala

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@@ -667,7 +667,6 @@ class SparkContext(
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/**
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* <span class="badge" style="float: right; background-color: #44751E;">DEVELOPER API</span>
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*
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* Register a listener to receive up-calls from events that happen during execution.
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*/
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def addSparkListener(listener: SparkListener) {
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/**
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* <span class="badge" style="float: right; background-color: #44751E;">DEVELOPER API</span>
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*
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* Run a job that can return approximate results.
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*/
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def runApproximateJob[T, U, R](
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/**
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* <span class="badge" style="float: right; background-color: #257080;">EXPERIMENTAL API</span>
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*
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* Submit a job for execution and return a FutureJob holding the result.
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*/
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def submitJob[T, U, R](

core/src/main/scala/org/apache/spark/rdd/PartitionPruningRDD.scala

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@@ -22,7 +22,7 @@ import scala.reflect.ClassTag
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import org.apache.spark.{NarrowDependency, Partition, TaskContext}
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private[spark] class PartitionPruningRDDPartition(idx: Int, val parentSplit: Partition)
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extends Partition {
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extends Partition {
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override val index = idx
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}
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core/src/main/scala/org/apache/spark/rdd/RDD.scala

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/**
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* <span class="badge" style="float: right; background-color: #257080;">EXPERIMENTAL API</span>
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*
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* Return approximate number of distinct elements in the RDD.
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*
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* The accuracy of approximation can be controlled through the relative standard deviation

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