Github user brkyvz commented on a diff in the pull request:
https://github.com/apache/spark/pull/16929#discussion_r103262990
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -2969,11 +2969,27 @@ object functions {
}
/**
- * (Java-specific) Parses a column containing a JSON string into a
`StructType` with the
+ * (Scala-specific) Parses a column containing a JSON array string into
a `ArrayType` with the
* specified schema. Returns `null`, in the case of an unparseable
string.
*
- * @param e a string column containing JSON data.
- * @param schema the schema to use when parsing the json string
+ * @param e a string column containing JSON array data.
+ * @param schema the schema to use when parsing the json array string
+ * @param options options to control how the json is parsed. accepts the
same options and the
+ * json data source.
+ *
+ * @group collection_funcs
+ * @since 2.2.0
+ */
+ def from_json(e: Column, schema: ArrayType, options: Map[String,
String]): Column = withExpr {
--- End diff --
why do we need the `ArrayType` specific methods? Can't we just change the
`StructType` -> `DataType` and do a `require` check?
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