Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/6762#discussion_r34214783
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -1627,6 +1627,178 @@ object functions {
def ascii(columnName: String): Column = ascii(Column(columnName))
/**
+ * Trim the spaces from both ends for the specified string value.
+ *
+ * @group string_funcs
+ * @since 1.5.0
+ */
+ def trim(e: Column): Column = StringTrim(e.expr)
+
+ /**
+ * Trim the spaces from both ends for the specified column.
+ *
+ * @group string_funcs
+ * @since 1.5.0
+ */
+ def trim(columnName: String): Column = trim(Column(columnName))
+
+ /**
+ * Trim the spaces from left end for the specified string value.
+ *
+ * @group string_funcs
+ * @since 1.5.0
+ */
+ def ltrim(e: Column): Column = StringTrimLeft(e.expr)
+
+ /**
+ * Trim the spaces from left end for the specified column.
+ *
+ * @group string_funcs
+ * @since 1.5.0
+ */
+ def ltrim(columnName: String): Column = ltrim(Column(columnName))
+
+ /**
+ * Trim the spaces from right end for the specified string value.
+ *
+ * @group string_funcs
+ * @since 1.5.0
+ */
+ def rtrim(e: Column): Column = StringTrimRight(e.expr)
+
+ /**
+ * Trim the spaces from right end for the specified column.
+ *
+ * @group string_funcs
+ * @since 1.5.0
+ */
+ def rtrim(columnName: String): Column = rtrim(Column(columnName))
+
+ /**
+ * Format strings in printf-style.
+ *
+ * @group string_funcs
+ * @since 1.5.0
+ */
+ @scala.annotation.varargs
+ def formatString(format: Column, arguments: Column*): Column = {
+ StringFormat((format +: arguments).map(_.expr): _*)
+ }
+
+ /**
+ * Format strings in printf-style.
+ *
+ * @group string_funcs
+ * @since 1.5.0
+ */
+ @scala.annotation.varargs
+ def formatString(format: String, arguments: String*): Column = {
+ StringFormat((format +: arguments).map(Column(_).expr): _*)
--- End diff --
PySpark does not rely on column names, it always call the java api which
accept Column. For Java user, they can use `functions.col` to turn name into
Column.
There are some API ( for example, `lead`), even don't accept `Column` as
the second or third parameter. They are already inconsistent with each other.
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