Hi, has anyone faced this error, is there any workaround to this issue?
thanks On Thu, Dec 3, 2015 at 4:28 PM, Sahil Sareen <sareen...@gmail.com> wrote: > Attaching the JIRA as well for completeness: > https://issues.apache.org/jira/browse/SPARK-12117 > > On Thu, Dec 3, 2015 at 4:13 PM, Sachin Aggarwal < > different.sac...@gmail.com> wrote: > >> >> Hi All, >> >> need help guys, I need a work around for this situation >> >> *case where this works:* >> >> val TestDoc1 = sqlContext.createDataFrame(Seq(("sachin aggarwal", "1"), >> ("Rishabh", "2"))).toDF("myText", "id") >> >> TestDoc1.select(callUDF("mydef",struct($"myText".as("Text"),$"id".as("label"))).as("col1")).show >> >> >> steps to reproduce error case: >> 1) create a file copy following text--filename(a.json) >> >> { "myText": "Sachin Aggarwal", "id": "1"} >> { "myText": "Rishabh", "id": "2"} >> >> 2) define a simple UDF >> def mydef(r:Row)={println(r.schema); r.getAs("Text").asInstanceOf[String]} >> >> 3) register the udf >> sqlContext.udf.register("mydef" ,mydef _) >> >> 4) read the input file >> val TestDoc2=sqlContext.read.json("/tmp/a.json") >> >> 5) make a call to UDF >> >> TestDoc2.select(callUDF("mydef",struct($"myText".as("Text"),$"id".as("label"))).as("col1")).show >> >> ERROR received: >> java.lang.IllegalArgumentException: Field "Text" does not exist. >> at >> org.apache.spark.sql.types.StructType$$anonfun$fieldIndex$1.apply(StructType.scala:234) >> at >> org.apache.spark.sql.types.StructType$$anonfun$fieldIndex$1.apply(StructType.scala:234) >> at scala.collection.MapLike$class.getOrElse(MapLike.scala:128) >> at scala.collection.AbstractMap.getOrElse(Map.scala:58) >> at org.apache.spark.sql.types.StructType.fieldIndex(StructType.scala:233) >> at >> org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema.fieldIndex(rows.scala:212) >> at org.apache.spark.sql.Row$class.getAs(Row.scala:325) >> at >> org.apache.spark.sql.catalyst.expressions.GenericRow.getAs(rows.scala:191) >> at >> $line414.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$$$$$c57ec8bf9b0d5f6161b97741d596ff0$$$$wC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.mydef(<console>:107) >> at >> $line419.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$$$$$c57ec8bf9b0d5f6161b97741d596ff0$$$$wC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:110) >> at >> $line419.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$$$$$c57ec8bf9b0d5f6161b97741d596ff0$$$$wC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$anonfun$1.apply(<console>:110) >> at >> org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:75) >> at >> org.apache.spark.sql.catalyst.expressions.ScalaUDF$$anonfun$2.apply(ScalaUDF.scala:74) >> at >> org.apache.spark.sql.catalyst.expressions.ScalaUDF.eval(ScalaUDF.scala:964) >> at >> org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificMutableProjection.apply(Unknown >> Source) >> at >> org.apache.spark.sql.execution.Project$$anonfun$1$$anonfun$apply$2.apply(basicOperators.scala:55) >> at >> org.apache.spark.sql.execution.Project$$anonfun$1$$anonfun$apply$2.apply(basicOperators.scala:53) >> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) >> at scala.collection.Iterator$$anon$11.next(Iterator.scala:328) >> at scala.collection.Iterator$$anon$10.next(Iterator.scala:312) >> at scala.collection.Iterator$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$$anonfun$runJob$5.apply(SparkContext.scala:1848) >> at >> org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1848) >> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66) >> at org.apache.spark.scheduler.Task.run(Task.scala:88) >> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214) >> at >> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1177) >> at >> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:642) >> at java.lang.Thread.run(Thread.java:857) >> >> -- >> >> Thanks & Regards >> >> Sachin Aggarwal >> 7760502772 >> > > -- Thanks & Regards Sachin Aggarwal 7760502772
