import org.apache.spark.sql.DataFrameReader

  def configureReaderWithElasticSearch(options: Map[String,String]) : DataFrameReader = {
    val fr = spark.read.format("es")
    def go(fr: DataFrameReader, optMap: Map[String, String]) = 
      optMap.foldLeft(fr)((reader, c) => reader.option(c._1, c._2))
    go(fr, options)
  }

  def loadDataFromElasticSearch(index: String)(reader: DataFrameReader) : DataFrame =
    reader.load(s"$index/$index")


  def loadDataFromES2(cluster: String) : Map[String,String] => DataFrame =
    (loadDataFromElasticSearch(cluster) _) compose configureReaderWithElasticSearch

  def loadClusters2(issueTypeId: String): DataFrame = {

    val esConfigOptions = Map(
      ConfigurationOptions.ES_NODES_WAN_ONLY -> Settings.esWanOnly,
      ConfigurationOptions.ES_PORT -> Settings.esPort,
      ConfigurationOptions.ES_NODES -> Settings.esNodes,
      "es.read.metadata" -> "true"
    )
 
    val clusters = loadDataFromES2("cluster")(esConfigOptions)
      .withColumn("id", $"_metadata._id")
      .drop("_metadata", "changeRequestIds", "comments", "rate", "clusterId", "originalId")
      .filter($"issueTypeId" === issueTypeId)

    addColumnsToDataframe(clusters, joinColumns.toArray)
  }