HyukjinKwon commented on a change in pull request #35352:
URL: https://github.com/apache/spark/pull/35352#discussion_r795046168
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala
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@@ -2795,3 +2795,67 @@ case class Sentences(
copy(str = newFirst, language = newSecond, country = newThird)
}
+
+/**
+ * Splits a given string by a specified delimiter.
+ */
+case class SplitByDelimiter(
+ str: Expression,
+ delimiter: Expression)
+ extends BinaryExpression with ImplicitCastInputTypes with NullIntolerant {
+ override def dataType: DataType = ArrayType(StringType, containsNull = false)
+ override def inputTypes: Seq[DataType] = Seq(StringType, StringType)
+ override def left: Expression = str
+ override def right: Expression = delimiter
+
+ override def nullSafeEval(string: Any, delimiter: Any): Any = {
+ val strings = string.asInstanceOf[UTF8String].split(
+ delimiter.asInstanceOf[UTF8String], -1, true)
+ new GenericArrayData(strings.asInstanceOf[Array[Any]])
+ }
+
+ override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
+ val arrayClass = classOf[GenericArrayData].getName
+ nullSafeCodeGen(ctx, ev, (str, delimiter) => {
+ // Array in java is covariant, so we don't need to cast UTF8String[] to
Object[].
+ s"""${ev.value} = new $arrayClass($str.split($delimiter,-1,
true));""".stripMargin
+ })
+ }
+
+ override protected def withNewChildrenInternal(
+ newFirst: Expression, newSecond: Expression): SplitByDelimiter =
+ copy(str = newFirst, delimiter = newSecond)
+}
+
+/**
+ * Splits a given string by a specified delimiter and returns the requested
part.
+ * If any input is null, or index is out of range of split parts, returns null.
+ */
+@ExpressionDescription(
+ usage = """
+ _FUNC_(str, delimiter, partNum) - Splits `str` by delimiter and return
+ requested part of the split (1-based).
+ """,
+ examples = """
+ Examples:
+ > SELECT _FUNC_("11.12.13", ".", 2);
+ "12"
+ """,
+ since = "3.3.0",
+ group = "string_funcs")
+case class SplitPart (
Review comment:
It will probably need to overload nodeName to make output column name
pretty
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