[GitHub] [spark] xinrong-databricks commented on a change in pull request #35415: [WIP][SPARK-37507][SQL] Add a new SQL function to_binary

[GitBox <gi...@apache.org>]

xinrong-databricks commented on a change in pull request #35415:
URL: https://github.com/apache/spark/pull/35415#discussion_r802370286



##########
File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala
##########
@@ -2538,6 +2538,56 @@ case class Encode(value: Expression, charset: Expression)
     newLeft: Expression, newRight: Expression): Encode = copy(value = newLeft, charset = newRight)
 }
 
+/**
+ * Converts the input expression to a binary value based on the supplied format.
+ */
+// scalastyle:off line.size.limit
+@ExpressionDescription(
+  usage = """
+    _FUNC_(str[, fmt]) - Converts the input `str` to a binary value based on the supplied `fmt`.
+      By default, the binary format for conversion is "hex" if `fmt` is omitted.
+  """,
+  examples = """
+    Examples:
+      > SELECT _FUNC_('abc', 'utf-8');
+       abc
+  """,
+  since = "3.3.0",
+  group = "string_funcs")
+// scalastyle:on line.size.limit
+case class ToBinary(expr: Expression, format: Option[Expression], child: Expression)
+  extends RuntimeReplaceable {
+
+  def this(expr: Expression, format: Expression) = this(expr, Option(format),
+    format.toString match {
+      case "hex" => Unhex(expr)
+      case "utf-8" => Encode(expr, Literal("UTF-8"))
+      case "base64" => UnBase64(expr)
+      case "base2" => Cast(expr, BinaryType)
+    }
+  )

Review comment:
       The code block works perfectly. Thanks!
   
   Is `format` something like `Literal("hex")`? 
   `Literal("hex")` doesn't seem to match `Literal("hex", StringType)` as below:
   ```
   scala> val format = Literal("hex")
   format: org.apache.spark.sql.catalyst.expressions.Literal = hex
   
   scala> format match {
        |   case Literal("hex", StringType) => println("matched")
        |   case _ => println("not matched")
        | }
   not matched
   ```




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