HI Spark developer,
I have a new baseRelation which Initializes ParquetFileFormat object and when
reading the data I am encountering Cast Exception below, however when I disable
codegen support with config "spark.sql.codegen.wholeStage"= false, I do not
encounter this exception.
20/06/11 17:35:39 INFO FileScanRDD: Reading File path: file:///D:/
jvm/src/test/scala/resources/pems_sorted/station=402260/part-r-00245-ddaee723-f3f6-4f25-a34b-3312172aa6d7.snappy.parquet,
range: 0-50936, partition values: [402260]
20/06/11 17:35:39 INFO CodecPool: Got brand-new decompressor [.snappy]
20/06/11 17:35:40 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.ClassCastException: org.apache.spark.sql.vectorized.ColumnarBatch
cannot be cast to org.apache.spark.sql.catalyst.InternalRow
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.agg_doAggregateWithKeys_0$(Unknown
Source)
at
org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown
Source)
at
org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at
org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
at
scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:409)
at
org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:99)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:55)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at
org.apache.spark.executor.Executor$TaskRunner$$anonfun$10.apply(Executor.scala:408)
at
org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1360)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:414)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748)
Appreciate your inputs.
Thanks,
NKH
