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Brock Noland commented on HIVE-7842: ------------------------------------ IIRC assertions are not enabled for MR when tasks are run so this might fail with MR as well. > load_dyn_part1.q fails with an assertion [Spark Branch] > ------------------------------------------------------- > > Key: HIVE-7842 > URL: https://issues.apache.org/jira/browse/HIVE-7842 > Project: Hive > Issue Type: Bug > Components: Spark > Affects Versions: spark-branch > Reporter: Venki Korukanti > Assignee: Venki Korukanti > Labels: Spark-M1 > Fix For: spark-branch > > > On spark branch, load_dyn_part1.q fails with following assertion. Looks like > SerDe is receiving invalid ByteWritable buffer. > {code} > java.lang.AssertionError > "org.apache.hadoop.hive.serde2.binarysortable.BinarySortableSerDe.deserialize(BinarySortableSerDe.java:205)" > "org.apache.hadoop.hive.serde2.binarysortable.BinarySortableSerDe.deserialize(BinarySortableSerDe.java:187)" > "org.apache.hadoop.hive.ql.exec.spark.SparkReduceRecordHandler.processRow(SparkReduceRecordHandler.java:186)" > "org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.processNextRecord(HiveReduceFunctionResultList.java:47)" > "org.apache.hadoop.hive.ql.exec.spark.HiveReduceFunctionResultList.processNextRecord(HiveReduceFunctionResultList.java:27)" > "org.apache.hadoop.hive.ql.exec.spark.HiveBaseFunctionResultList$ResultIterator.hasNext(HiveBaseFunctionResultList.java:98)" > "scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:41)" > "scala.collection.Iterator$class.foreach(Iterator.scala:727)" > "scala.collection.AbstractIterator.foreach(Iterator.scala:1157)" > "org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:759)" > "org.apache.spark.rdd.RDD$$anonfun$foreach$1.apply(RDD.scala:759)" > "org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121)" > "org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1121)" > "org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:62)" > "org.apache.spark.scheduler.Task.run(Task.scala:54)" > "org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:199)" > "java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)" > "java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)" > "java.lang.Thread.run(Thread.java:744)" > {code} -- This message was sent by Atlassian JIRA (v6.2#6252)