[SPARK-15757] Error occurs when using Spark sql "select" statement on orc file after hive sql "insert overwrite tb1 select * from sourcTb" has been executed on this orc file

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Duplicate
• Affects Version/s: 2.0.0
• Fix Version/s: 2.2.1
• Assignee: Unassigned
• Reporter: marymwu
• Created: 03/Jun/16 11:13
• Updated: 07/Dec/17 00:52
• Resolved: 11/Oct/17 00:56

Description

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)

Issue Links

• blocks: SPARK-20901 Feature parity for ORC with Parquet
• duplicates: SPARK-14387 Enable Hive-1.x ORC compatibility with spark.sql.hive.convertMetastoreOrc
• duplicates: SPARK-16628 OrcConversions should not convert an ORC table represented by MetastoreRelation to HadoopFsRelation if metastore schema does not match schema stored in ORC files