org.apache.spark.sql.geosparksql.UDT.IndexUDT.scala Maven / Gradle / Ivy
/*
* FILE: IndexUDT.scala
* Copyright (c) 2015 - 2018 GeoSpark Development Team
*
* MIT License
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in all
* copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*
*/
package org.apache.spark.sql.geosparksql.UDT
import com.vividsolutions.jts.index.SpatialIndex
import org.apache.spark.sql.catalyst.util.{ArrayData, GenericArrayData}
import org.apache.spark.sql.types.{ArrayType, ByteType, DataType, UserDefinedType}
import org.datasyslab.geosparksql.utils.IndexSerializer
class IndexUDT extends UserDefinedType[SpatialIndex] {
override def sqlType: DataType = ArrayType(ByteType, containsNull = false)
override def serialize(obj: SpatialIndex): GenericArrayData = {
return new GenericArrayData(IndexSerializer.serialize(obj))
}
override def deserialize(datum: Any): SpatialIndex = {
datum match {
case values: ArrayData => {
return IndexSerializer.deserialize(values)
}
}
}
override def userClass: Class[SpatialIndex] = classOf[SpatialIndex]
}