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implementing transform function in Python
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...aming/src/main/scala/org/apache/spark/streaming/api/python/PythonTransformedDStream.scala
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package org.apache.spark.streaming.api.python | ||
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import org.apache.spark.Accumulator | ||
import org.apache.spark.api.python.PythonRDD | ||
import org.apache.spark.broadcast.Broadcast | ||
import org.apache.spark.rdd.RDD | ||
import org.apache.spark.streaming.api.java.JavaDStream | ||
import org.apache.spark.streaming.{Time, Duration} | ||
import org.apache.spark.streaming.dstream.DStream | ||
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import scala.reflect.ClassTag | ||
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/** | ||
* Created by ken on 7/15/14. | ||
*/ | ||
class PythonTransformedDStream[T: ClassTag]( | ||
parents: Seq[DStream[T]], | ||
command: Array[Byte], | ||
envVars: JMap[String, String], | ||
pythonIncludes: JList[String], | ||
preservePartitoning: Boolean, | ||
pythonExec: String, | ||
broadcastVars: JList[Broadcast[Array[Byte]]], | ||
accumulator: Accumulator[JList[Array[Byte]]] | ||
) extends DStream[Array[Byte]](parent.ssc) { | ||
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override def dependencies = List(parent) | ||
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override def slideDuration: Duration = parent.slideDuration | ||
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//pythonDStream compute | ||
override def compute(validTime: Time): Option[RDD[Array[Byte]]] = { | ||
val parentRDDs = parents.map(_.getOrCompute(validTime).orNull).toSeq | ||
Some() | ||
} | ||
val asJavaDStream = JavaDStream.fromDStream(this) | ||
} |
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