HyukjinKwon commented on code in PR #42462:
URL: https://github.com/apache/spark/pull/42462#discussion_r1300848314
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sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamReader.scala:
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@@ -259,6 +259,27 @@ final class DataStreamReader private[sql](sparkSession:
SparkSession) extends Lo
*/
def csv(path: String): DataFrame = format("csv").load(path)
+ /**
+ * Loads a XML file stream and returns the result as a `DataFrame`.
+ *
+ * This function will go through the input once to determine the input
schema if `inferSchema`
+ * is enabled. To avoid going through the entire data once, disable
`inferSchema` option or
+ * specify the schema explicitly using `schema`.
+ *
+ * You can set the following option(s):
+ * <ul>
+ * <li>`maxFilesPerTrigger` (default: no max limit): sets the maximum number
of new files to be
+ * considered in every trigger.</li>
+ * </ul>
+ *
+ * You can find the XML-specific options for reading XML file stream in
+ * <a
href="https://spark.apache.org/docs/latest/sql-data-sources-xml.html#data-source-option";>
+ * Data Source Option</a> in the version you use.
+ *
+ * @since 4.0.0
+ */
+ def xml(path: String): DataFrame = format("xml").load(path)
Review Comment:
ditto for https://github.com/apache/spark/pull/42462/files#r1300848164
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