LuciferYang commented on code in PR #38867:
URL: https://github.com/apache/spark/pull/38867#discussion_r1041915384
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala:
##########
@@ -4600,3 +4600,155 @@ case class ArrayExcept(left: Expression, right:
Expression) extends ArrayBinaryL
override protected def withNewChildrenInternal(
newLeft: Expression, newRight: Expression): ArrayExcept = copy(left =
newLeft, right = newRight)
}
+
+@ExpressionDescription(
+ usage = "_FUNC_(x, pos, val) - Places val into index pos of array x (array
indices start at 1)",
+ examples = """
+ Examples:
+ > SELECT _FUNC_(array(1, 2, 3, 4), 5, 5);
+ [1,2,3,4,5]
+ > SELECT _FUNC_(array(5, 3, 2, 1), 2, 4);
+ [5,4,3,2,1]
+ """,
+ group = "array_funcs",
+ since = "3.4.0")
+case class ArrayInsert(srcArrayExpr: Expression, posExpr: Expression,
itemExpr: Expression)
+ extends TernaryExpression with ImplicitCastInputTypes with
SupportQueryContext
+ with QueryErrorsBase {
+
+ @transient private lazy val elementType: DataType =
+ srcArrayExpr.dataType.asInstanceOf[ArrayType].elementType
+
+ override def dataType: DataType = srcArrayExpr.dataType
+ override def inputTypes: Seq[AbstractDataType] = {
+ (srcArrayExpr.dataType, posExpr.dataType, itemExpr.dataType) match {
+ case (ArrayType(e1, hasNull), e2: IntegralType, e3) if (e2 != LongType)
=>
+ TypeCoercion.findTightestCommonType(e1, e3) match {
+ case Some(dt) => Seq(ArrayType(dt, hasNull), IntegerType, dt)
+ case _ => Seq.empty
+ }
+ case (e1, e2, e3) => Seq.empty
+ }
+ Seq.empty
+ }
+
+ override def checkInputDataTypes(): TypeCheckResult = {
+ (first.dataType, second.dataType, third.dataType) match {
+ case (_: ArrayType, e2, e3) if e2 != IntegerType =>
+ DataTypeMismatch(
+ errorSubClass = "UNEXPECTED_INPUT_TYPE",
+ messageParameters = Map(
+ "paramIndex" -> "2",
+ "requiredType" -> toSQLType(IntegerType),
+ "inputSql" -> toSQLExpr(second),
+ "inputType" -> toSQLType(second.dataType))
+ )
+ case _ => TypeCheckResult.TypeCheckSuccess
+ }
+ }
+
+ override def eval(input: InternalRow): Any = {
+ val arr = first.eval(input)
+ val pos = second.eval(input)
+ val item = third.eval(input)
+
+ if (arr == null || pos == null) {
+ null
+ } else {
+ nullSafeEval(arr, pos, item)
+ }
+ }
+
+ override def nullSafeEval(arr: Any, pos: Any, item: Any): Any = {
+ val baseArr = arr.asInstanceOf[ArrayData]
+ val posInt = pos.asInstanceOf[Int]
+
+ if (baseArr.numElements() + 1 >
ByteArrayMethods.MAX_ROUNDED_ARRAY_LENGTH) {
+ throw
QueryExecutionErrors.concatArraysWithElementsExceedLimitError(baseArr.numElements()
+ 1)
+ }
+ val validatedPosInt = this.getValidPosIndexOrThrow(posInt,
baseArr.numElements())
+
+ if (validatedPosInt < 0 || validatedPosInt > baseArr.numElements()) {
+ null
+ } else {
+ val newArray = new Array[Any](arr.asInstanceOf[ArrayData].numElements()
+ 1)
+ arr.asInstanceOf[ArrayData].foreach(elementType, (i, v) =>
+ if (i >= validatedPosInt) {
+ newArray(i + 1) = v
+ } else {
+ newArray(i) = v
+ }
+ )
+ if (item != null) {
+ newArray(validatedPosInt) = item
+ }
+ new GenericArrayData(newArray)
+ }
+ }
+
+ private def getValidPosIndexOrThrow(pos: Int, numArrayElements: Int): Int = {
+ val validIdx = if (pos == 0) {
Review Comment:
https://docs.snowflake.com/en/developer-guide/snowpark/reference/python/api/snowflake.snowpark.functions.array_insert.html
For `pos` is 0, Is the behavior ``inserting at position 0 has the same
effect as using array_prepend`` easy to implement?
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