Major Description
Reading in a parquet file partitioned on disk by a `Byte`-type column fails with the following exception:
[info] Cause: java.lang.ClassCastException: java.lang.Integer cannot be cast to java.lang.Byte [info] at scala.runtime.BoxesRunTime.unboxToByte(BoxesRunTime.java:95) [info] at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getByte(rows.scala:39) [info] at org.apache.spark.sql.catalyst.expressions.BaseGenericInternalRow.getByte$(rows.scala:39) [info] at org.apache.spark.sql.catalyst.expressions.GenericInternalRow.getByte(rows.scala:195) [info] at org.apache.spark.sql.catalyst.expressions.JoinedRow.getByte(JoinedRow.scala:86) [info] at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.writeFields_0_6$(Unknown Source) [info] at org.apache.spark.sql.catalyst.expressions.GeneratedClass$SpecificUnsafeProjection.apply(Unknown Source) [info] at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat.$anonfun$buildReaderWithPartitionValues$8(ParquetFileFormat.scala:385) [info] at org.apache.spark.sql.execution.datasources.RecordReaderIterator$$anon$1.next(RecordReaderIterator.scala:62) [info] at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.next(FileScanRDD.scala:189) [info] at scala.collection.Iterator$$anon$10.next(Iterator.scala:461) [info] at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source) [info] at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43) [info] at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:760) [info] at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:364) [info] at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:890) [info] at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:890) [info] at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52) [info] at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:365) [info] at org.apache.spark.rdd.RDD.iterator(RDD.scala:329) [info] at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90) [info] at org.apache.spark.scheduler.Task.run(Task.scala:136) [info] at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:548) [info] at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1504) [info] at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:551) [info] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) [info] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) [info] at java.lang.Thread.run(Thread.java:748)
I believe the issue to stem from PartitioningUtils::castPartValueToDesiredType returning an Integer for ByteType and ShortType (which then fails to unbox to the expected type):
case ByteType | ShortType | IntegerType => Integer.parseInt(value)
The issue appears to have been introduced in this commit so likely affects Spark 3.2 as well, though I've only tested on 3.3.0.
