beliefer commented on code in PR #37154:
URL: https://github.com/apache/spark/pull/37154#discussion_r1222428140
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/regexpExpressions.scala:
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@@ -1043,3 +1043,88 @@ case class RegExpSubStr(left: Expression, right:
Expression)
newChildren: IndexedSeq[Expression]): RegExpSubStr =
copy(left = newChildren(0), right = newChildren(1))
}
+
+// scalastyle:off line.size.limit
+@ExpressionDescription(
+ usage = """
+ _FUNC_(str, regexp) - Searches a string for a regular expression and
returns an integer that indicates the beginning position of the matched
substring. Positions are 1-based, not 0-based. If no match is found, returns 0.
+ """,
+ arguments = """
+ Arguments:
+ * str - a string expression.
+ * regexp - a string representing a regular expression. The regex string
should be a
+ Java regular expression.<br><br>
+ Since Spark 2.0, string literals (including regex patterns) are
unescaped in our SQL
+ parser. For example, to match "\abc", a regular expression for
`regexp` can be
+ "^\\abc$".<br><br>
+ There is a SQL config 'spark.sql.parser.escapedStringLiterals' that
can be used to
+ fallback to the Spark 1.6 behavior regarding string literal parsing.
For example,
+ if the config is enabled, the `regexp` that can match "\abc" is
"^\abc$".
+ """,
+ examples = """
+ Examples:
+ > SELECT _FUNC_('[email protected]', '@[^.]*');
+ 5
+ """,
+ since = "3.4.0",
+ group = "string_funcs")
+// scalastyle:on line.size.limit
+case class RegExpInStr(subject: Expression, regexp: Expression, idx:
Expression)
Review Comment:
@MaxGekk Could you clarify the usage of idx? It seems there missing the
description of it. Thanks.
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