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package spark.streaming
import collection.mutable.{SynchronizedBuffer, ArrayBuffer}
import java.util.{List => JList}
import spark.streaming.api.java.{JavaPairDStream, JavaDStreamLike, JavaDStream, JavaStreamingContext}
import spark.streaming._
import java.util.ArrayList
import collection.JavaConversions._
/** Exposes streaming test functionality in a Java-friendly way. */
object JavaTestUtils extends TestSuiteBase {
/**
* Create a [[spark.streaming.TestInputStream]] and attach it to the supplied context.
* The stream will be derived from the supplied lists of Java objects.
**/
def attachTestInputStream[T](
ssc: JavaStreamingContext,
data: JList[JList[T]],
numPartitions: Int) = {
val seqData = data.map(Seq(_:_*))
implicit val cm: ClassManifest[T] =
implicitly[ClassManifest[AnyRef]].asInstanceOf[ClassManifest[T]]
val dstream = new TestInputStream[T](ssc.ssc, seqData, numPartitions)
ssc.ssc.registerInputStream(dstream)
new JavaDStream[T](dstream)
}
/**
* Attach a provided stream to it's associated StreamingContext as a
* [[spark.streaming.TestOutputStream]].
**/
def attachTestOutputStream[T, This <: spark.streaming.api.java.JavaDStreamLike[T,This]](
dstream: JavaDStreamLike[T, This]) = {
implicit val cm: ClassManifest[T] =
implicitly[ClassManifest[AnyRef]].asInstanceOf[ClassManifest[T]]
val ostream = new TestOutputStream(dstream.dstream,
new ArrayBuffer[Seq[T]] with SynchronizedBuffer[Seq[T]])
dstream.dstream.ssc.registerOutputStream(ostream)
}
/**
* Process all registered streams for a numBatches batches, failing if
* numExpectedOutput RDD's are not generated. Generated RDD's are collected
* and returned, represented as a list for each batch interval.
*/
def runStreams[V](
ssc: JavaStreamingContext, numBatches: Int, numExpectedOutput: Int): JList[JList[V]] = {
implicit val cm: ClassManifest[V] =
implicitly[ClassManifest[AnyRef]].asInstanceOf[ClassManifest[V]]
val res = runStreams[V](ssc.ssc, numBatches, numExpectedOutput)
val out = new ArrayList[JList[V]]()
res.map(entry => out.append(new ArrayList[V](entry)))
out
}
}
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