We're trying to parse a XML column from a table using the latest version of spark-xml, so we extract that column into a Dataset[String]. We pass the converted dataset to the spark.read.xml() method, however our passed options doesn't seem to be used whenever we pass a Dataset[String], meaning that it ignores our passed options and it falls back to the default ones.

Here's how we convert the extracted column to a Dataset[String]
val xmlCol = srcDf.select("XMLRECORD").as[String]

Here's how we call spark-xml read() method

val df = spark.read
      .option("inferSchema", "false")
      .option("rowTag", "row")
      .option("columnNameOfCorruptedRecord", "bad_record")
      .schema(schema)
      .xml(xmlCol)