text: /*
   * This software is licensed under the Apache 2 license, quoted below.
   *
   * Copyright 2017 Astraea, Inc.
   *
   * Licensed 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.
   *
   * SPDX-License-Identifier: Apache-2.0
   *
   */
  
  package org.locationtech.rasterframes.encoders
  
  import geotrellis.raster.{CellType, DataType}
  import org.apache.spark.sql.catalyst.ScalaReflection
  import org.apache.spark.sql.catalyst.analysis.GetColumnByOrdinal
  import org.apache.spark.sql.catalyst.encoders.ExpressionEncoder
  import org.apache.spark.sql.rf.VersionShims.InvokeSafely
  import org.apache.spark.sql.types.{ObjectType, StringType}
  import org.apache.spark.unsafe.types.UTF8String
  import CatalystSerializer._
  import scala.reflect.classTag
  
  /**
   * Custom encoder for GT [[CellType]]. It's necessary since [[CellType]] is a type alias of
   * a type intersection.
   * @since 7/21/17
   */
  object CellTypeEncoder {
    def apply(): ExpressionEncoder[CellType] = {
      // We can't use StringBackedEncoder due to `CellType` being a type alias,
      // and Spark doesn't like that.
      import org.apache.spark.sql.catalyst.expressions._
      import org.apache.spark.sql.catalyst.expressions.objects._
      val ctType = ScalaReflection.dataTypeFor[DataType]
      val schema = schemaOf[CellType]
      val inputObject = BoundReference(0, ctType, nullable = false)
  
      val intermediateType = ObjectType(classOf[String])
      val serializer: Expression =
        StaticInvoke(
          classOf[UTF8String],
          StringType,
          "fromString",
          InvokeSafely(inputObject, "name", intermediateType) :: Nil
        )
  
      val inputRow = GetColumnByOrdinal(0, schema)
      val deserializer: Expression =
        StaticInvoke(CellType.getClass, ctType, "fromName", InvokeSafely(inputRow, "toString", intermediateType) :: Nil)
  
      ExpressionEncoder[CellType](schema, flat = false, Seq(serializer), deserializer, classTag[CellType])
    }
  }
  