public class AsyncRDDActions<T> extends Object implements scala.Serializable, Logging
org.apache.spark.SparkContext._
at the top of your program to use these functions.Constructor and Description |
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AsyncRDDActions(RDD<T> self,
scala.reflect.ClassTag<T> evidence$1) |
Modifier and Type | Method and Description |
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FutureAction<scala.collection.Seq<T>> |
collectAsync()
Returns a future for retrieving all elements of this RDD.
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FutureAction<Object> |
countAsync()
Returns a future for counting the number of elements in the RDD.
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FutureAction<scala.runtime.BoxedUnit> |
foreachAsync(scala.Function1<T,scala.runtime.BoxedUnit> f)
Applies a function f to all elements of this RDD.
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FutureAction<scala.runtime.BoxedUnit> |
foreachPartitionAsync(scala.Function1<scala.collection.Iterator<T>,scala.runtime.BoxedUnit> f)
Applies a function f to each partition of this RDD.
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FutureAction<scala.collection.Seq<T>> |
takeAsync(int num)
Returns a future for retrieving the first num elements of the RDD.
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
initialized, initializeIfNecessary, initializeLogging, initLock, isTraceEnabled, log_, log, logDebug, logDebug, logError, logError, logInfo, logInfo, logName, logTrace, logTrace, logWarning, logWarning
public FutureAction<Object> countAsync()
public FutureAction<scala.collection.Seq<T>> collectAsync()
public FutureAction<scala.collection.Seq<T>> takeAsync(int num)
public FutureAction<scala.runtime.BoxedUnit> foreachAsync(scala.Function1<T,scala.runtime.BoxedUnit> f)
public FutureAction<scala.runtime.BoxedUnit> foreachPartitionAsync(scala.Function1<scala.collection.Iterator<T>,scala.runtime.BoxedUnit> f)