marymwu created SPARK-15757: ------------------------------- Summary: Error occurs when using Spark sql "select" statement on orc file after hive sql "insert overwrite tb1 select * from sourcTb" has been executed Key: SPARK-15757 URL: https://issues.apache.org/jira/browse/SPARK-15757 Project: Spark Issue Type: Bug Affects Versions: 2.0.0 Reporter: marymwu
Error occurs when using Spark sql "select" statement on orc file after hive sql "insert overwrite tb1 select * from sourcTb" has been executed 0: jdbc:hive2://172.19.200.158:40099/default> select * from inventory; Error: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 7.0 failed 8 times, most recent failure: Lost task 0.7 in stage 7.0 (TID 2532, smokeslave5.avatar.lenovomm.com): java.lang.IllegalArgumentException: Field "inv_date_sk" does not exist. at org.apache.spark.sql.types.StructType$$anonfun$fieldIndex$1.apply(StructType.scala:252) at org.apache.spark.sql.types.StructType$$anonfun$fieldIndex$1.apply(StructType.scala:252) at scala.collection.MapLike$class.getOrElse(MapLike.scala:128) at scala.collection.AbstractMap.getOrElse(Map.scala:59) at org.apache.spark.sql.types.StructType.fieldIndex(StructType.scala:251) at org.apache.spark.sql.hive.orc.OrcRelation$$anonfun$10.apply(OrcRelation.scala:361) at org.apache.spark.sql.hive.orc.OrcRelation$$anonfun$10.apply(OrcRelation.scala:361) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234) at scala.collection.Iterator$class.foreach(Iterator.scala:893) at scala.collection.AbstractIterator.foreach(Iterator.scala:1336) at scala.collection.IterableLike$class.foreach(IterableLike.scala:72) at org.apache.spark.sql.types.StructType.foreach(StructType.scala:94) at scala.collection.TraversableLike$class.map(TraversableLike.scala:234) at org.apache.spark.sql.types.StructType.map(StructType.scala:94) at org.apache.spark.sql.hive.orc.OrcRelation$.setRequiredColumns(OrcRelation.scala:361) at org.apache.spark.sql.hive.orc.DefaultSource$$anonfun$buildReader$2.apply(OrcRelation.scala:123) at org.apache.spark.sql.hive.orc.DefaultSource$$anonfun$buildReader$2.apply(OrcRelation.scala:112) at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:278) at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:262) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:114) at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:91) at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source) at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$7$$anon$1.hasNext(WholeStageCodegenExec.scala:357) at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:246) at org.apache.spark.sql.execution.SparkPlan$$anonfun$3.apply(SparkPlan.scala:240) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$23.apply(RDD.scala:774) at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$23.apply(RDD.scala:774) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318) at org.apache.spark.rdd.RDD.iterator(RDD.scala:282) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70) at org.apache.spark.scheduler.Task.run(Task.scala:85) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) at java.lang.Thread.run(Thread.java:745) Driver stacktrace: (state=,code=0) -- 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