Hi Sourav, I think it is an issue. XML will assume the element by the rowTag as object.
Could you please open an issue in https://github.com/databricks/spark-xml/issues please? Thanks! 2016-05-01 5:08 GMT+09:00 Sourav Mazumder <sourav.mazumde...@gmail.com>: > Hi, > > Looks like there is a problem in spark-xml if the xml has multiple > attributes with no child element. > > For example say the xml has a nested object as below > <bkval> > <book id="bk113">bk_113</book> > <book id="bk114">bk_114</book> > </bkval> > > Now if I create a dataframe starting with rowtag bkval and then I do a > select on that data frame it gives following error. > > > scala.MatchError: ENDDOCUMENT (of class > com.sun.xml.internal.stream.events.EndDocumentEvent) at > com.databricks.spark.xml.parsers.StaxXmlParser$.checkEndElement(StaxXmlParser.scala:94) > at > com.databricks.spark.xml.parsers.StaxXmlParser$.com$databricks$spark$xml$parsers$StaxXmlParser$$convertObject(StaxXmlParser.scala:295) > at > com.databricks.spark.xml.parsers.StaxXmlParser$$anonfun$parse$1$$anonfun$apply$4.apply(StaxXmlParser.scala:58) > at > com.databricks.spark.xml.parsers.StaxXmlParser$$anonfun$parse$1$$anonfun$apply$4.apply(StaxXmlParser.scala:46) > at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at > scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at > scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) at > scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:308) at > scala.collection.Iterator$class.foreach(Iterator.scala:727) at > scala.collection.AbstractIterator.foreach(Iterator.scala:1157) at > scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48) at > scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103) > at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47) > at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273) > at scala.collection.AbstractIterator.to(Iterator.scala:1157) at > scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265) > at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157) at > scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252) > at scala.collection.AbstractIterator.toArray(Iterator.scala:1157) at > org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215) > at > org.apache.spark.sql.execution.SparkPlan$$anonfun$5.apply(SparkPlan.scala:215) > at > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850) > at > org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1850) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) at > org.apache.spark.scheduler.Task.run(Task.scala:88) at > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) at > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > > However if there is only one row like below, it works fine. > > <bkval> > <book id="bk113">bk_113</book> > </bkval> > > Any workaround ? > > Regards, > Sourav > >
