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Posted to issues@spark.apache.org by "marymwu (JIRA)" <ji...@apache.org> on 2016/06/03 11:14:59 UTC
[jira] [Updated] (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
[ https://issues.apache.org/jira/browse/SPARK-15757?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
marymwu updated 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 on this orc file (was: Error occurs when using Spark sql "select" statement on orc file after hive sql "insert overwrite tb1 select * from sourcTb" has been executed)
> 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
> ---------------------------------------------------------------------------------------------------------------------------------------------------------------
>
> 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)
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