spark JsonVectorConverter 源码

2022-10-20
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spark JsonVectorConverter 代码

文件路径：/mllib/src/main/scala/org/apache/spark/ml/linalg/JsonVectorConverter.scala

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.spark.ml.linalg

import org.json4s.DefaultFormats
import org.json4s.JsonDSL._
import org.json4s.jackson.JsonMethods.{compact, parse => parseJson, render}

private[ml] object JsonVectorConverter {

  /**
   * Parses the JSON representation of a vector into a [[Vector]].
   */
  def fromJson(json: String): Vector = {
    implicit val formats = DefaultFormats
    val jValue = parseJson(json)
    (jValue \ "type").extract[Int] match {
      case 0 => // sparse
        val size = (jValue \ "size").extract[Int]
        val indices = (jValue \ "indices").extract[Seq[Int]].toArray
        val values = (jValue \ "values").extract[Seq[Double]].toArray
        Vectors.sparse(size, indices, values)
      case 1 => // dense
        val values = (jValue \ "values").extract[Seq[Double]].toArray
        Vectors.dense(values)
      case _ =>
        throw new IllegalArgumentException(s"Cannot parse $json into a vector.")
    }
  }

  /**
   * Coverts the vector to a JSON string.
   */
  def toJson(v: Vector): String = {
    v match {
      case SparseVector(size, indices, values) =>
        val jValue = ("type" -> 0) ~
          ("size" -> size) ~
          ("indices" -> indices.toSeq) ~
          ("values" -> values.toSeq)
        compact(render(jValue))
      case DenseVector(values) =>
        val jValue = ("type" -> 1) ~ ("values" -> values.toSeq)
        compact(render(jValue))
      case _ =>
        throw new IllegalArgumentException(s"Unknown vector type ${v.getClass}.")
    }
  }
}

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