Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/13990#discussion_r70560643
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeCreator.scala
---
@@ -393,3 +394,54 @@ case class CreateNamedStructUnsafe(children:
Seq[Expression]) extends Expression
override def prettyName: String = "named_struct_unsafe"
}
+
+/**
+ * Creates a map after splitting the input text into key/value pairs using
delimeters
+ */
+@ExpressionDescription(
+ usage = "_FUNC_(text[, pairDelim, keyValueDelim]) - Creates a map after
splitting the text " +
+ "into key/value pairs using delimiters. " +
+ "Default delimiters are ',' for pairDelim and ':' for keyValueDelim.",
+ extended = """ > SELECT _FUNC_('a:1,b:2,c:3',',',':');\n
map("a":"1","b":"2","c":"3") """)
+case class StringToMap(text: Expression, pairDelim: Expression,
keyValueDelim: Expression)
+ extends TernaryExpression with CodegenFallback{
+
+ def this(child: Expression, pairDelim: Expression) = {
+ this(child, pairDelim, Literal(":"))
+ }
+
+ def this(child: Expression) = {
+ this(child, Literal(","), Literal(":"))
+ }
+
+ override def children: Seq[Expression] = Seq(text, pairDelim,
keyValueDelim)
+
+ override def dataType: DataType = MapType(StringType, StringType,
valueContainsNull = false)
+
+ override def checkInputDataTypes(): TypeCheckResult = {
+ if (children.map(_.dataType).forall(_ == StringType)) {
+ TypeCheckResult.TypeCheckSuccess
+ } else if (Seq(pairDelim, keyValueDelim).forall(_.foldable)) {
+ TypeCheckResult.TypeCheckFailure(s"String To Map's all arguments
must be of type string.")
+ } else {
+ TypeCheckResult.TypeCheckFailure(
--- End diff --
> First all children should have dataType StringType, if they don't
if they don't, type check is failed, we are done. If they do, we still need
to check if delimiters are foldable, if not foldable, fail the check.
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