pgandhi999 commented on issue #24144: [SPARK-24935][SQL] fix Hive UDAF with two aggregation buffers URL: https://github.com/apache/spark/pull/24144#issuecomment-474407062 @cloud-fan I tested your PR with the test case mentioned in JIRA and it fails with the following error: ``` 19/03/19 14:47:35 WARN TaskSetManager: Lost task 3.0 in stage 3.0 (TID 3, gsrd259n17.red.ygrid.yahoo.com, executor 1): java.lang.ClassCastException: org.apache.hadoop.io.BytesWritable cannot be cast to [Ljava.lang.Object; at org.apache.hadoop.hive.serde2.objectinspector.StandardStructObjectInspector.getStructFieldData(StandardStructObjectInspector.java:170) at org.apache.spark.sql.hive.HiveInspectors.$anonfun$unwrapperFor$43(HiveInspectors.scala:689) at org.apache.spark.sql.hive.HiveInspectors.$anonfun$unwrapperFor$45(HiveInspectors.scala:693) at scala.collection.TraversableLike.$anonfun$map$1(TraversableLike.scala:237) at scala.collection.mutable.ResizableArray.foreach(ResizableArray.scala:62) at scala.collection.mutable.ResizableArray.foreach$(ResizableArray.scala:55) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:49) at scala.collection.TraversableLike.map(TraversableLike.scala:237) at scala.collection.TraversableLike.map$(TraversableLike.scala:230) at scala.collection.AbstractTraversable.map(Traversable.scala:108) at org.apache.spark.sql.hive.HiveInspectors.$anonfun$unwrapperFor$44(HiveInspectors.scala:693) at org.apache.spark.sql.hive.HiveUDAFFunction.eval(hiveUDFs.scala:434) at org.apache.spark.sql.hive.HiveUDAFFunction.eval(hiveUDFs.scala:307) at org.apache.spark.sql.catalyst.expressions.aggregate.TypedImperativeAggregate.eval(interfaces.scala:543) at org.apache.spark.sql.execution.aggregate.AggregationIterator.$anonfun$generateResultProjection$5(AggregationIterator.scala:232) at org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.next(ObjectAggregationIterator.scala:86) at org.apache.spark.sql.execution.aggregate.ObjectAggregationIterator.next(ObjectAggregationIterator.scala:33) at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:256) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:852) at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:852) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:327) at org.apache.spark.rdd.RDD.iterator(RDD.scala:291) at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:327) at org.apache.spark.rdd.RDD.iterator(RDD.scala:291) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) at org.apache.spark.scheduler.Task.run(Task.scala:121) at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:428) at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1341) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:431) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) at java.lang.Thread.run(Thread.java:748) ```
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