org.apache.spark.ml.odkl.TopKTransformer.scala Maven / Gradle / Ivy
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package org.apache.spark.ml.odkl
import org.apache.spark.ml.Transformer
import org.apache.spark.ml.param.{IntParam, Param, ParamMap, ParamValidators}
import org.apache.spark.ml.util.{DefaultParamsWritable, Identifiable}
import org.apache.spark.sql.functions.{col, explode}
import org.apache.spark.sql.types.StructType
import org.apache.spark.sql.{DataFrame, functions}
/**
* Created by eugeny.malyutin on 20.07.17.
*
* Performs TopK-UDAF logic without annoying schema pack-unpack
* @tparam B - raw type (Long for LongTyped-columns) for columnToOrderBy
* Ordering for this type should be defined
*/
class TopKTransformer[B](override val uid: String) (implicit val cmp: Ordering[B])
extends Transformer with DefaultParamsWritable with HasGroupByColumns{
val topK: IntParam = new IntParam(this, "TopK", "number elements to find by each group",
ParamValidators.gtEq(0))
val columnToOrderGroupsBy: Param[String] = new Param[String](this, "columnToOrderGroupsBy",
"column to order groups by")
override def transform(dataset: DataFrame): DataFrame = {
val guidedTempColumn = Identifiable.randomUID("tempData");
val aggFun = new TopKUDAF[B]($(topK), new StructType().add(guidedTempColumn,dataset.schema), $(columnToOrderGroupsBy))(cmp)
val columnsSeq = dataset.schema.fieldNames.map(c => col(c)).toSeq
val seqToSelect = dataset.schema.fieldNames.map(c => col("col."+c)).toSeq
dataset
.groupBy( $(groupByColumns).map(r => col(r)):_*)
.agg(aggFun(functions.struct(columnsSeq: _*)).as(guidedTempColumn))
.select(explode(col(guidedTempColumn).getField("arrData")))
.select(seqToSelect:_*)
}
override def copy(extra: ParamMap): Transformer = defaultCopy(extra)
override def transformSchema(schema: StructType): StructType = schema
/** @group setParam */
def setTopK(value: Int): this.type = set(topK, value)
/** @group setParam */
def setColumnToOrderGroupsBy(value: String): this.type = set(columnToOrderGroupsBy, value)
def this()(implicit cmp:Ordering[B]) = this(Identifiable.randomUID("topKTransformer"))(cmp)
}