self-closing tag support : no longer accurate

There is a comment "At the moment, rows containing self closing xml tags are not supported." which may no longer be true as per... databricks#303

Author: cefn

README.md

@@ -52,7 +52,7 @@ $SPARK_HOME/bin/spark-shell --packages com.databricks:spark-xml_2.12:0.5.0
 This package allows reading XML files in local or distributed filesystem as [Spark DataFrames](https://spark.apache.org/docs/1.6.0/sql-programming-guide.html).
 When reading files the API accepts several options:
 * `path`: Location of files. Similar to Spark can accept standard Hadoop globbing expressions.
-* `rowTag`: The row tag of your xml files to treat as a row. For example, in this xml `<books> <book><book> ...</books>`, the appropriate value would be `book`. Default is `ROW`. At the moment, rows containing self closing xml tags are not supported.
+* `rowTag`: The row tag of your xml files to treat as a row. For example, in this xml `<books> <book><book> ...</books>`, the appropriate value would be `book`. Default is `ROW`.
 * `samplingRatio`: Sampling ratio for inferring schema (0.0 ~ 1). Default is 1. Possible types are `StructType`, `ArrayType`, `StringType`, `LongType`, `DoubleType`, `BooleanType`, `TimestampType` and `NullType`, unless user provides a schema for this.
 * `excludeAttribute` : Whether you want to exclude attributes in elements or not. Default is false.
 * `treatEmptyValuesAsNulls` : (DEPRECATED: use `nullValue` set to `""`) Whether you want to treat whitespaces as a null value. Default is false