LuciferYang commented on code in PR #38865:
URL: https://github.com/apache/spark/pull/38865#discussion_r1042145834
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala:
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@@ -4600,3 +4600,133 @@ case class ArrayExcept(left: Expression, right:
Expression) extends ArrayBinaryL
override protected def withNewChildrenInternal(
newLeft: Expression, newRight: Expression): ArrayExcept = copy(left =
newLeft, right = newRight)
}
+
+/**
+ * Given an array, and another element append the element at the end of the
array.
+ */
+@ExpressionDescription(
+ usage = "_FUNC_(array, element) - Append the element",
+ examples =
+ """
+ Examples:
+ > SELECT _FUNC_(array('b', 'd', 'c', 'a'), 'd');
+ ["b","d","c","a","d"]
+
+ """,
+ since = "3.4.0",
+ group = "array_funcs")
+case class ArrayAppend(left: Expression, right: Expression)
+ extends BinaryExpression
+ with ImplicitCastInputTypes
+ with ComplexTypeMergingExpression
+ with QueryErrorsBase {
+ override def prettyName: String = "array_append"
+
+ override def inputTypes: Seq[AbstractDataType] = {
+ (left.dataType, right.dataType) match {
+ case (ArrayType(e1, hasNull), e2) =>
+ TypeCoercion.findTightestCommonType(e1, e2) match {
+ case Some(dt) => Seq(ArrayType(dt, hasNull), dt)
+ case _ => Seq.empty
+ }
+ case _ => Seq.empty
+ }
+ }
+
+ override def eval(input: InternalRow): Any = {
+ val value1 = left.eval(input)
+ val value2 = right.eval(input)
+ if (value1 == null) {
+ null
+ } else {
+ nullSafeEval(value1, value2)
+ }
+ }
+
+ override def checkInputDataTypes(): TypeCheckResult = {
+ (left.dataType, right.dataType) match {
+ case (ArrayType(e1, _), e2) => if (e1.sameType(e2)) {
+ TypeCheckResult.TypeCheckSuccess
+ }
+ else {
+ DataTypeMismatch(
+ errorSubClass = "ARRAY_FUNCTION_DIFF_TYPES",
+ messageParameters = Map(
+ "functionName" -> toSQLId(prettyName),
+ "leftType" -> toSQLType(left.dataType),
+ "rightType" -> toSQLType(right.dataType),
+ "dataType" -> toSQLType(ArrayType)
+ ))
+ }
+ case _ =>
+ DataTypeMismatch(
+ errorSubClass = "UNEXPECTED_INPUT_TYPE",
+ messageParameters = Map(
+ "paramIndex" -> "0",
+ "requiredType" -> toSQLType(ArrayType),
+ "inputSql" -> toSQLExpr(left),
+ "inputType" -> toSQLType(left.dataType)
+ )
+ )
+ }
+ }
+
+ protected def withNewChildrenInternal(newLeft: Expression, newRight:
Expression): ArrayAppend =
+ copy(left = newLeft, right = newRight)
+
+ override protected def nullSafeEval(input1: Any, input2: Any): Any = {
+ val arrayData = input1.asInstanceOf[ArrayData]
+ val arrayElementType = dataType.asInstanceOf[ArrayType].elementType
+ val elementData = input2
+ val numberOfElements = arrayData.numElements() + 1
+ if (numberOfElements > ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH) {
+ throw
QueryExecutionErrors.concatArraysWithElementsExceedLimitError(numberOfElements)
+ }
+ val finalData = new Array[Any](numberOfElements)
+ arrayData.foreach(arrayElementType, finalData.update)
Review Comment:
https://github.com/apache/spark/blob/1d2159f888139e65c80db2003d521b0f684df83a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/ArrayData.scala#L180-L189
ArrayData.foreach already use while loop
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