Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/21028#discussion_r188840260
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
---
@@ -18,15 +18,53 @@ package org.apache.spark.sql.catalyst.expressions
import java.util.Comparator
+import scala.collection.mutable
+
import org.apache.spark.sql.catalyst.InternalRow
-import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
+import org.apache.spark.sql.catalyst.analysis.{TypeCheckResult,
TypeCoercion}
import org.apache.spark.sql.catalyst.expressions.ArraySortLike.NullOrder
import org.apache.spark.sql.catalyst.expressions.codegen._
import org.apache.spark.sql.catalyst.util.{ArrayData, GenericArrayData,
MapData, TypeUtils}
+import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.types._
import org.apache.spark.unsafe.array.ByteArrayMethods
import org.apache.spark.unsafe.types.{ByteArray, UTF8String}
+/**
+ * Base trait for [[BinaryExpression]]s with two arrays of the same
element type and implicit
+ * casting.
+ */
+trait BinaryArrayExpressionWithImplicitCast extends BinaryExpression
+ with ImplicitCastInputTypes {
+
+ private val caseSensitive = SQLConf.get.caseSensitiveAnalysis
+
+ @transient protected lazy val elementType: DataType =
+ inputTypes.head.asInstanceOf[ArrayType].elementType
+
+ override def inputTypes: Seq[AbstractDataType] = {
+ (left.dataType, right.dataType) match {
+ case (ArrayType(e1, hasNull1), ArrayType(e2, hasNull2)) =>
+ TypeCoercion.findTightestCommonType(e1, e2, caseSensitive) match {
--- End diff --
this should fail the build now
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