Azure Databricks Spark XML库-尝试读取xml文件

我正在尝试创建一个databricks笔记本，以从Azure Data Lake读取xml文件并将其转换为镶木地板。我从这里获得了spark-xml库-[ https://github.com/databricks/spark-xml]。我遵循了github中提供的示例，但无法使其正常工作。

df = (spark.read.format("xml")
  .option("rootTag","catalog") \
  .option("rowTag", "book") \
  .load("adl://mysandbox.azuredatalakestore.net/Source/catalog.xml"))


  Exception Details:

  java.lang.NoClassDefFoundError: scala/collection/GenTraversableOnce$class

  StackTrace: 

 /databricks/spark/python/pyspark/sql/readwriter.py in load(self, path, 
 format, schema, **options)
  164         self.options(**options)
  165         if isinstance(path, basestring):
  --> 166             return self._df(self._jreader.load(path))
  167         elif path is not None:
  168             if type(path) != list:

  /databricks/spark/python/lib/py4j-0.10.7-src.zip/py4j/java_gateway.py in 
  __call__(self, *args)
  1255         answer = self.gateway_client.send_command(command)
  1256         return_value = get_return_value(
  -> 1257             answer, self.gateway_client, self.target_id, 
  self.name)
  1258 

我还需要定义其他依赖项来解析xml吗？感谢帮助。