org.elasticsearch.spark.rdd.ScalaEsRDD.scala Maven / Gradle / Ivy
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package org.elasticsearch.spark.rdd
import scala.collection.Map
import org.apache.commons.logging.Log
import org.apache.commons.logging.LogFactory
import org.apache.spark.Partition
import org.apache.spark.SparkContext
import org.apache.spark.TaskContext
import org.elasticsearch.hadoop.cfg.Settings
import org.elasticsearch.hadoop.mr.security.HadoopUserProvider
import org.elasticsearch.hadoop.rest.InitializationUtils
import org.elasticsearch.hadoop.rest.PartitionDefinition
import org.elasticsearch.spark.serialization.ScalaValueReader
import scala.annotation.meta.param
private[spark] class ScalaEsRDD[T](
@(transient @param) sc: SparkContext,
params: Map[String, String] = Map.empty)
extends AbstractEsRDD[(String, T)](sc, params) {
override def compute(split: Partition, context: TaskContext): ScalaEsRDDIterator[T] = {
new ScalaEsRDDIterator(context, split.asInstanceOf[EsPartition].esPartition)
}
}
private[spark] class ScalaEsRDDIterator[T](
context: TaskContext,
partition: PartitionDefinition)
extends AbstractEsRDDIterator[(String, T)](context, partition) {
override def getLogger() = LogFactory.getLog(ScalaEsRDD.getClass())
override def initReader(settings: Settings, log: Log) = {
InitializationUtils.setValueReaderIfNotSet(settings, classOf[ScalaValueReader], log)
InitializationUtils.setUserProviderIfNotSet(settings, classOf[HadoopUserProvider], log)
}
override def createValue(value: Array[Object]): (String, T) = {
(value(0).toString() -> value(1).asInstanceOf[T])
}
}
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