org.elasticsearch.spark.streaming.package.scala Maven / Gradle / Ivy
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package org.elasticsearch.spark
import org.apache.spark.streaming.dstream.DStream
import org.elasticsearch.hadoop.util.ObjectUtils
import scala.reflect.ClassTag
import scala.language.implicitConversions
package object streaming {
private val init = { ObjectUtils.loadClass("org.elasticsearch.spark.rdd.CompatUtils", classOf[ObjectUtils].getClassLoader)}
implicit def sparkDStreamFunctions(ds: DStream[_]): SparkDStreamFunctions = new SparkDStreamFunctions(ds)
class SparkDStreamFunctions(ds: DStream[_]) extends Serializable {
def saveToEs(resource: String): Unit = { EsSparkStreaming.saveToEs(ds, resource) }
def saveToEs(resource: String, cfg: Map[String, String]): Unit = { EsSparkStreaming.saveToEs(ds, resource, cfg) }
def saveToEs(cfg: Map[String, String]): Unit = { EsSparkStreaming.saveToEs(ds, cfg) }
}
implicit def sparkStringJsonDStreamFunctions(ds: DStream[String]): SparkJsonDStreamFunctions[String] = new SparkJsonDStreamFunctions[String](ds)
implicit def sparkByteArrayJsonDStreamFunctions(ds: DStream[Array[Byte]]): SparkJsonDStreamFunctions[Array[Byte]] = new SparkJsonDStreamFunctions[Array[Byte]](ds)
class SparkJsonDStreamFunctions[T : ClassTag](ds: DStream[T]) extends Serializable {
def saveJsonToEs(resource: String): Unit = { EsSparkStreaming.saveJsonToEs(ds, resource) }
def saveJsonToEs(resource: String, cfg: Map[String, String]): Unit = { EsSparkStreaming.saveJsonToEs(ds, resource, cfg) }
def saveJsonToEs(cfg: Map[String, String]): Unit = { EsSparkStreaming.saveJsonToEs(ds, cfg) }
}
implicit def sparkPairDStreamFunctions[K : ClassTag, V : ClassTag](ds: DStream[(K,V)]): SparkPairDStreamFunctions[K,V] = new SparkPairDStreamFunctions[K,V](ds)
class SparkPairDStreamFunctions[K : ClassTag, V : ClassTag](ds: DStream[(K, V)]) extends Serializable {
def saveToEsWithMeta(resource: String): Unit = { EsSparkStreaming.saveToEsWithMeta(ds, resource) }
def saveToEsWithMeta(resource: String, cfg: Map[String, String]): Unit = { EsSparkStreaming.saveToEsWithMeta(ds, resource, cfg) }
def saveToEsWithMeta(cfg: Map[String, String]): Unit = { EsSparkStreaming.saveToEsWithMeta(ds, cfg) }
}
}
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