spark native orc reader is not working as expected. please find below details
import org.apache.spark.sql.{Dataset, Encoders, SparkSession}
case class GateDoc(var xml: Array[Byte], var cknid: String = null)
spark.conf.set("spark.sql.orc.impl","native")
import spark.implicits._
val df = spark.read.schema(Encoders.product[GateDoc].schema).orc(inputFile).as[GateDoc] // problem here while reading throws below mentioned exception
df.write.orc(op)
throws
java.lang.NegativeArraySizeException
at org.apache.orc.impl.TreeReaderFactory$BytesColumnVectorUtil.commonReadByteArrays(TreeReaderFactory.java:1506)
at org.apache.orc.impl.TreeReaderFactory$BytesColumnVectorUtil.readOrcByteArrays(TreeReaderFactory.java:1528)
at org.apache.orc.impl.TreeReaderFactory$BinaryTreeReader.nextVector(TreeReaderFactory.java:878)
at org.apache.orc.impl.TreeReaderFactory$StructTreeReader.nextBatch(TreeReaderFactory.java:2012)
at org.apache.orc.impl.RecordReaderImpl.nextBatch(RecordReaderImpl.java:1284)
at org.apache.spark.sql.execution.datasources.orc.OrcColumnarBatchReader.nextBatch(OrcColumnarBatchReader.java:227)
at org.apache.spark.sql.execution.datasources.orc.OrcColumnarBatchReader.nextKeyValue(OrcColumnarBatchReader.java:109)
at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:130)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:215)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:130)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.scan_nextBatch_0$(Unknown Source)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$13$$anon$1.hasNext(WholeStageCodegenExec.scala:636)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter.scala:232)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:170)
at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.scala:169)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
at org.apache.spark.scheduler.Task.run(Task.scala:123)
at org.apache.spark.executor.Executor$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)
However, It works well when using spark.sql.orc.impl = hive
import org.apache.spark.sql.{Dataset, Encoders, SparkSession}
case class GateDoc(var xml: Array[Byte], var cknid: String = null)
spark.conf.set("spark.sql.orc.impl","hive")
import spark.implicits._
val df = spark.read.schema(Encoders.product[GateDoc].schema).orc(inputFile).as[GateDoc]
df.write.orc(op)
I'm well aware why java.lang.NegativeArraySizeException is throw in my usecase but why it is initializing my case class array type field with negative value?
I have also checked a few partitions metadata as below
java -jar/usr/lib/spark/jars/orc-tools-1.5.5-uber.jar data part-00.snappy.orc
java -jar /usr/lib/spark/jars/orc-tools-1.5.5-uber.jar meta part-00.snappy.orc
which seems to be ok
More Details about Environment :
Scala version 2.11.12
Spark Version 2.4.4
Orc Version 1.5.5
EMR emr-5.29.0
Please help me out. I feel there is some bug in orc native reader.