Github user marmbrus commented on a diff in the pull request:

    https://github.com/apache/spark/pull/3429#discussion_r21131070
  
    --- Diff: 
sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveInspectorSuite.scala ---
    @@ -0,0 +1,220 @@
    +/*
    + * 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.sql.hive
    +
    +import java.sql.Date
    +import java.util
    +
    +import org.apache.hadoop.hive.serde2.io.DoubleWritable
    +import 
org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory
    +import org.apache.spark.sql.catalyst.types._
    +import org.apache.spark.sql.catalyst.types.decimal.Decimal
    +import org.scalatest.FunSuite
    +
    +import org.apache.hadoop.hive.ql.udf.UDAFPercentile
    +import org.apache.hadoop.hive.serde2.objectinspector.{ObjectInspector, 
StructObjectInspector, ObjectInspectorFactory}
    +import 
org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory.ObjectInspectorOptions
    +import org.apache.hadoop.io.LongWritable
    +
    +import org.apache.spark.sql.catalyst.expressions.{Literal, Row}
    +
    +class HiveInspectorSuite extends FunSuite with HiveInspectors {
    +  test("Test wrap SettableStructObjectInspector") {
    +    val udaf = new UDAFPercentile.PercentileLongEvaluator()
    +    udaf.init()
    +
    +    udaf.iterate(new LongWritable(1), 0.1)
    +    udaf.iterate(new LongWritable(1), 0.1)
    +
    +    val state = udaf.terminatePartial()
    +
    +    val soi = ObjectInspectorFactory.getReflectionObjectInspector(
    +      classOf[UDAFPercentile.State],
    +      ObjectInspectorOptions.JAVA).asInstanceOf[StructObjectInspector]
    +
    +    val a = unwrap(state, soi).asInstanceOf[Row]
    +    val b = wrap(a, soi).asInstanceOf[UDAFPercentile.State]
    +
    +    val sfCounts = soi.getStructFieldRef("counts")
    +    val sfPercentiles = soi.getStructFieldRef("percentiles")
    +
    +    assert(2 == soi.getStructFieldData(b, sfCounts)
    +      .asInstanceOf[util.Map[LongWritable, LongWritable]]
    +      .get(new LongWritable(1L))
    +      .get())
    +    assert(0.1 == soi.getStructFieldData(b, sfPercentiles)
    +      .asInstanceOf[util.ArrayList[DoubleWritable]]
    +      .get(0)
    +      .get())
    +  }
    +
    +  val data =
    +    Literal(true) ::
    +    Literal(0.asInstanceOf[Byte]) ::
    +    Literal(0.asInstanceOf[Short]) ::
    +    Literal(0) ::
    +    Literal(0.asInstanceOf[Long]) ::
    +    Literal(0.asInstanceOf[Float]) ::
    +    Literal(0.asInstanceOf[Double]) ::
    +    Literal("0") ::
    +    Literal(new Date(2014, 9, 23)) ::
    +    Literal(Decimal(BigDecimal(123.123))) ::
    +    Literal(new java.sql.Timestamp(123123)) ::
    +    Literal(Array[Byte](1,2,3)) ::
    +    Literal(Seq[Int](1,2,3), ArrayType(IntegerType)) ::
    +    Literal(Map[Int, Int](1->2, 2->1), MapType(IntegerType, IntegerType)) 
::
    +    Literal(Row(1,2.0d,3.0f),
    +      StructType(StructField("c1", IntegerType) ::
    +      StructField("c2", DoubleType) ::
    +      StructField("c3", FloatType) :: Nil)) ::
    +    Nil
    +
    +  val row = data.map(_.eval(null))
    +  val dataTypes = data.map(_.dataType)
    +
    +  import scala.collection.JavaConversions._
    +  def toWritableInspector(dataType: DataType): ObjectInspector = dataType 
match {
    +    case ArrayType(tpe, _) =>
    +      
ObjectInspectorFactory.getStandardListObjectInspector(toWritableInspector(tpe))
    +    case MapType(keyType, valueType, _) =>
    +      ObjectInspectorFactory.getStandardMapObjectInspector(
    +        toWritableInspector(keyType), toWritableInspector(valueType))
    +    case StringType => 
PrimitiveObjectInspectorFactory.writableStringObjectInspector
    +    case IntegerType => 
PrimitiveObjectInspectorFactory.writableIntObjectInspector
    +    case DoubleType => 
PrimitiveObjectInspectorFactory.writableDoubleObjectInspector
    +    case BooleanType => 
PrimitiveObjectInspectorFactory.writableBooleanObjectInspector
    +    case LongType => 
PrimitiveObjectInspectorFactory.writableLongObjectInspector
    +    case FloatType => 
PrimitiveObjectInspectorFactory.writableFloatObjectInspector
    +    case ShortType => 
PrimitiveObjectInspectorFactory.writableShortObjectInspector
    +    case ByteType => 
PrimitiveObjectInspectorFactory.writableByteObjectInspector
    +    case NullType => 
PrimitiveObjectInspectorFactory.writableVoidObjectInspector
    +    case BinaryType => 
PrimitiveObjectInspectorFactory.writableBinaryObjectInspector
    +    case DateType => 
PrimitiveObjectInspectorFactory.writableDateObjectInspector
    +    case TimestampType => 
PrimitiveObjectInspectorFactory.writableTimestampObjectInspector
    +    case DecimalType() => 
PrimitiveObjectInspectorFactory.writableHiveDecimalObjectInspector
    +    case StructType(fields) =>
    +      ObjectInspectorFactory.getStandardStructObjectInspector(
    +        fields.map(f => f.name), fields.map(f => 
toWritableInspector(f.dataType)))
    +  }
    +
    +  def checkDataType(dt1: Seq[DataType], dt2: Seq[DataType]): Unit = {
    +    dt1.zip(dt2).map {
    +      case (dd1, dd2) =>
    +        assert(dd1.getClass == dd2.getClass)  // DecimalType doesn't has 
the default precision info
    +    }
    +  }
    +
    +  def checkValues(row1: Seq[Any], row2: Seq[Any]): Unit = {
    +    row1.zip(row2).map {
    +      case (r1, r2) => checkValues(r1, r2)
    +    }
    +  }
    +
    +  def checkValues(v1: Any, v2: Any): Unit = {
    +    (v1, v2) match {
    +      case (r1: Decimal, r2: Decimal) =>
    +        // Ignore the Decimal precision
    +        assert(r1.compare(r2) == 0)
    +      case (r1: Array[Byte], r2: Array[Byte])
    +        if r1 != null && r2 != null && r1.length == r2.length =>
    +        r1.zip(r2).map { case (b1, b2) => assert(b1 == b2) }
    +      case (r1: Date, r2: Date) => assert(r1.compareTo(r2) == 0)
    +      case (r1, r2) => assert(r1 == r2)
    +    }
    +  }
    +
    +  test("oi => datatype => oi") {
    +    val ois = dataTypes.map(toInspector)
    +
    +    checkDataType(ois.map(inspectorToDataType), dataTypes)
    +    
checkDataType(dataTypes.map(toWritableInspector).map(inspectorToDataType), 
dataTypes)
    +  }
    +
    +  test("wrap / unwrap #1") {
    +    val writableOIs = dataTypes.map(toWritableInspector)
    +    val nullRow = data.map(d => null)
    +
    +    checkValues(nullRow, nullRow.zip(writableOIs).map {
    +      case (d, oi) => unwrap(wrap(d, oi), oi)
    +    })
    +
    +    // struct couldn't be constant, sweep it out
    +    val constantExprs = data.filter(!_.dataType.isInstanceOf[StructType])
    +    val constantData = constantExprs.map(_.eval())
    +    val constantNullData = constantData.map(_ => null)
    +    val constantWritableOIs = constantExprs.map(e => 
toWritableInspector(e.dataType))
    +    val constantNullWritableOIs = constantExprs.map(e => 
toInspector(Literal(null, e.dataType)))
    +
    +    checkValues(constantData, constantData.zip(constantWritableOIs).map {
    +      case (d, oi) => unwrap(wrap(d, oi), oi)
    +    })
    +
    +    checkValues(constantNullData, 
constantData.zip(constantNullWritableOIs).map {
    +      case (d, oi) => unwrap(wrap(d, oi), oi)
    +    })
    +
    +    checkValues(constantNullData, 
constantNullData.zip(constantWritableOIs).map {
    +      case (d, oi) => unwrap(wrap(d, oi), oi)
    +    })
    +  }
    +
    +  test("wrap / unwrap #2") {
    +    val writableOIs = dataTypes.map(toWritableInspector)
    +
    +    checkValues(row, row.zip(writableOIs).map {
    +      case (data, oi) => unwrap(wrap(data, oi), oi)
    +    })
    +  }
    +
    +  test("wrap / unwrap #3") {
    +    val ois = dataTypes.map(toInspector)
    +
    +    checkValues(row, row.zip(ois).map {
    +      case (data, oi) => unwrap(wrap(data, oi), oi)
    +    })
    +  }
    +
    +  test("wrap / unwrap #4") {
    +    val dt = StructType(dataTypes.zipWithIndex.map {
    +      case (t, idx) => StructField(s"c_$idx", t)
    +    })
    +
    +    checkValues(row, unwrap(wrap(row, toInspector(dt)), 
toInspector(dt)).asInstanceOf[Row])
    +    checkValues(null, unwrap(wrap(null, toInspector(dt)), toInspector(dt)))
    +  }
    +
    +  test("wrap / unwrap #5") {
    +    val dt = ArrayType(dataTypes(0))
    +
    +    val d = row(0) :: row(0) :: Nil
    +    checkValues(d, unwrap(wrap(d, toInspector(dt)), toInspector(dt)))
    +    checkValues(null, unwrap(wrap(null, toInspector(dt)), toInspector(dt)))
    +    checkValues(d, unwrap(wrap(d, toInspector(Literal(d, dt))), 
toInspector(Literal(d, dt))))
    +    checkValues(d, unwrap(wrap(null, toInspector(Literal(d, dt))), 
toInspector(Literal(d, dt))))
    +  }
    +
    +  test("wrap / unwrap #6") {
    --- End diff --
    
    Maybe instead of #1, #2, etc name them "Maps", "Arrays", etc


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