beliefer commented on a change in pull request #27507: [SPARK-24884][SQL]
Support regexp function regexp_extract_all
URL: https://github.com/apache/spark/pull/27507#discussion_r378612746
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/regexpExpressions.scala
##########
@@ -508,3 +535,99 @@ case class RegExpExtract(subject: Expression, regexp:
Expression, idx: Expressio
})
}
}
+
+/**
+ * Extract all specific(idx) groups identified by a Java regex.
+ *
+ * NOTE: this expression is not THREAD-SAFE, as it has some internal mutable
status.
+ */
+@ExpressionDescription(
+ usage = "_FUNC_(str, regexp[, idx]) - Extracts all group that matches
`regexp`.",
+ arguments = """
+ Arguments:
+ * str - a string expression of the input string.
+ * regexp - a string expression of the regex string.
+
+ 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$".
+
+ There is a SQL config 'spark.sql.parser.escapedStringLiterals' that
can be used to
+ fallback to the Spark 1.6 behavior regarding string literal parsing.
For example,
+ if the config is enabled, the `regexp` that can match "\abc" is
"^\abc$".
+ * idx - an int expression of the regex group index. The regex maybe
contains multiple
Review comment:
OK
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