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Liang-Chi Hsieh commented on SPARK-12117: ----------------------------------------- As I revisit this PR and find that this bug is already fixed in current codebase. I think we can close this now. > Column Aliases are Ignored in callUDF while using struct() > ---------------------------------------------------------- > > Key: SPARK-12117 > URL: https://issues.apache.org/jira/browse/SPARK-12117 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 1.5.1 > Reporter: Sachin Aggarwal > > 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) -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org