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
