org.apache.spark.sql.test.ExamplePointUDT.scala Maven / Gradle / Ivy
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* 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,
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package org.apache.spark.sql.test
import org.apache.spark.sql.catalyst.util.{ArrayData, GenericArrayData}
import org.apache.spark.sql.types._
/**
* An example class to demonstrate UDT in Scala, Java, and Python.
* @param x x coordinate
* @param y y coordinate
*/
@SQLUserDefinedType(udt = classOf[ExamplePointUDT])
private[sql] class ExamplePoint(val x: Double, val y: Double) extends Serializable {
override def hashCode(): Int = 31 * (31 * x.hashCode()) + y.hashCode()
override def equals(other: Any): Boolean = other match {
case that: ExamplePoint => this.x == that.x && this.y == that.y
case _ => false
}
override def toString(): String = s"($x, $y)"
}
/**
* User-defined type for [[ExamplePoint]].
*/
private[sql] class ExamplePointUDT extends UserDefinedType[ExamplePoint] {
override def sqlType: DataType = ArrayType(DoubleType, false)
override def pyUDT: String = "pyspark.sql.tests.ExamplePointUDT"
override def serialize(p: ExamplePoint): GenericArrayData = {
val output = new Array[Any](2)
output(0) = p.x
output(1) = p.y
new GenericArrayData(output)
}
override def deserialize(datum: Any): ExamplePoint = {
datum match {
case values: ArrayData =>
new ExamplePoint(values.getDouble(0), values.getDouble(1))
}
}
override def userClass: Class[ExamplePoint] = classOf[ExamplePoint]
private[spark] override def asNullable: ExamplePointUDT = this
}