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[SPARK-28158][SQL][FOLLOWUP] HiveUserDefinedTypeSuite: don't use RandomDataGenerator to create row for UDT backed by ArrayType #26287

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[SPARK-28158][SQL][FOLLOWUP] HiveUserDefinedTypeSuite: don't use RandomDataGenerator to create row for UDT backed by ArrayType #26287

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[SPARK-28158][SQL][FOLLOWUP] HiveUserDefinedTypeSuite: don't let 'Exa…
HeartSaVioR Oct 29, 2019
8d0929b
Fix another possible case of UT failure
HeartSaVioR Oct 29, 2019
d1ba290
Reflect review comments
HeartSaVioR Oct 29, 2019
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10 changes: 6 additions & 4 deletions sql/hive/src/test/scala/org/apache/spark/sql/hive/HiveUserDefinedTypeSuite.scala
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Expand Up @@ -18,26 +18,28 @@
package org.apache.spark.sql.hive

import scala.collection.JavaConverters._
import scala.util.Random

import org.apache.hadoop.hive.ql.udf.generic.GenericUDF
import org.apache.hadoop.hive.serde2.objectinspector.{ObjectInspector, StandardListObjectInspector}
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory

import org.apache.spark.sql.{QueryTest, RandomDataGenerator, Row}
import org.apache.spark.sql.{QueryTest, Row}
import org.apache.spark.sql.catalyst.FunctionIdentifier
import org.apache.spark.sql.hive.test.TestHiveSingleton
import org.apache.spark.sql.test.{ExamplePoint, ExamplePointUDT}
import org.apache.spark.sql.types.StructType


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class HiveUserDefinedTypeSuite extends QueryTest with TestHiveSingleton {
private val functionClass = classOf[org.apache.spark.sql.hive.TestUDF].getCanonicalName

test("Support UDT in Hive UDF") {
val rand = new Random
val functionName = "get_point_x"
try {
val schema = new StructType().add("point", new ExamplePointUDT)
val inputGenerator = RandomDataGenerator.forType(schema, nullable = false).get
val input = inputGenerator.apply().asInstanceOf[Row]
val schema = new StructType().add("point", new ExamplePointUDT, nullable = false)
val input = Row.fromSeq(Seq(new ExamplePoint(rand.nextDouble(), rand.nextDouble())))
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val df = spark.createDataFrame(Array(input).toList.asJava, schema)
df.createOrReplaceTempView("src")
spark.sql(s"CREATE FUNCTION $functionName AS '$functionClass'")
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