[SPARK-20984] Reading back from ORC format gives error on big endian systems.

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Incomplete
• Affects Version/s: 2.0.0
• Component/s: Input/Output
• Labels: big-endian bulk-closed

Environment

Redhat 7 on power 7 Big endian platform.

[testuser@soe10-vm12 spark]$ cat /etc/redhat-
redhat-access-insights/ redhat-release
[testuser@soe10-vm12 spark]$ cat /etc/redhat-release
Red Hat Enterprise Linux Server release 7.2 (Maipo)
[testuser@soe10-vm12 spark]$ lscpu
Architecture: ppc64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Big Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Thread(s) per core: 1
Core(s) per socket: 1
Socket(s): 8
NUMA node(s): 1
Model: IBM pSeries (emulated by qemu)
L1d cache: 32K
L1i cache: 32K
NUMA node0 CPU(s): 0-7
[testuser@soe10-vm12 spark]$

• Assignee: Unassigned
• Reporter: Mahesh
• Created: 05/Jun/17 08:35
• Updated: 25/May/21 01:50
• Resolved: 25/May/21 01:43

Description

All orc test cases seem to be failing here. Looks like spark is not able to read back what is written. Following is a way to check it on spark shell. I am also pasting the test case which probably passes on x86.

All test cases in OrcHadoopFsRelationSuite.scala are failing.

test("SPARK-12218: 'Not' is included in ORC filter pushdown") {
import testImplicits._

withSQLConf(SQLConf.ORC_FILTER_PUSHDOWN_ENABLED.key -> "true") {
withTempPath { dir =>
val path = s"${dir.getCanonicalPath}/table1"
(1 to 5).map(i => (i, (i % 2).toString)).toDF("a", "b").write.orc(path)

checkAnswer(
spark.read.orc(path).where("not (a = 2) or not(b in ('1'))"),
(1 to 5).map(i => Row(i, (i % 2).toString)))

checkAnswer(
spark.read.orc(path).where("not (a = 2 and b in ('1'))"),
(1 to 5).map(i => Row(i, (i % 2).toString)))
}
}
}

Same can be reproduced on spark shell
*Create a DF and write it in orc***
scala> (1 to 5).map(i => (i, (i % 2).toString)).toDF("a", "b").write.orc("test")
*Now try to read it back***
scala> spark.read.orc("test").where("not (a = 2) or not(b in ('1'))").show
17/06/05 04:20:48 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID 0)
org.iq80.snappy.CorruptionException: Invalid copy offset for opcode starting at 13
at org.iq80.snappy.SnappyDecompressor.decompressAllTags(SnappyDecompressor.java:165)
at org.iq80.snappy.SnappyDecompressor.uncompress(SnappyDecompressor.java:76)
at org.iq80.snappy.Snappy.uncompress(Snappy.java:43)
at org.apache.hadoop.hive.ql.io.orc.SnappyCodec.decompress(SnappyCodec.java:71)
at org.apache.hadoop.hive.ql.io.orc.InStream$CompressedStream.readHeader(InStream.java:214)
at org.apache.hadoop.hive.ql.io.orc.InStream$CompressedStream.read(InStream.java:238)
at java.io.InputStream.read(InputStream.java:101)
at org.apache.hive.com.google.protobuf.CodedInputStream.refillBuffer(CodedInputStream.java:737)
at org.apache.hive.com.google.protobuf.CodedInputStream.isAtEnd(CodedInputStream.java:701)
at org.apache.hive.com.google.protobuf.CodedInputStream.readTag(CodedInputStream.java:99)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.<init>(OrcProto.java:10661)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.<init>(OrcProto.java:10625)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter$1.parsePartialFrom(OrcProto.java:10730)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter$1.parsePartialFrom(OrcProto.java:10725)
at org.apache.hive.com.google.protobuf.AbstractParser.parsePartialFrom(AbstractParser.java:200)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:217)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:223)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:49)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.parseFrom(OrcProto.java:10937)
at org.apache.hadoop.hive.ql.io.orc.MetadataReader.readStripeFooter(MetadataReader.java:113)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripeFooter(RecordReaderImpl.java:228)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.beginReadStripe(RecordReaderImpl.java:805)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripe(RecordReaderImpl.java:776)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.advanceStripe(RecordReaderImpl.java:986)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.advanceToNextRow(RecordReaderImpl.java:1019)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.<init>(RecordReaderImpl.java:205)
at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.rowsOptions(ReaderImpl.java:539)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.createReaderFromFile(OrcInputFormat.java:230)
at org.apache.hadoop.hive.ql.io.orc.SparkOrcNewRecordReader.<init>(SparkOrcNewRecordReader.java:48)
at org.apache.spark.sql.hive.orc.OrcFileFormat$$anonfun$buildReader$2.apply(OrcFileFormat.scala:151)
at org.apache.spark.sql.hive.orc.OrcFileFormat$$anonfun$buildReader$2.apply(OrcFileFormat.scala:125)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:279)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:263)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:124)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:98)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:314)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
17/06/05 04:20:48 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, localhost): org.iq80.snappy.CorruptionException: Invalid copy offset for opcode starting at 13
at org.iq80.snappy.SnappyDecompressor.decompressAllTags(SnappyDecompressor.java:165)
at org.iq80.snappy.SnappyDecompressor.uncompress(SnappyDecompressor.java:76)
at org.iq80.snappy.Snappy.uncompress(Snappy.java:43)
at org.apache.hadoop.hive.ql.io.orc.SnappyCodec.decompress(SnappyCodec.java:71)
at org.apache.hadoop.hive.ql.io.orc.InStream$CompressedStream.readHeader(InStream.java:214)
at org.apache.hadoop.hive.ql.io.orc.InStream$CompressedStream.read(InStream.java:238)
at java.io.InputStream.read(InputStream.java:101)
at org.apache.hive.com.google.protobuf.CodedInputStream.refillBuffer(CodedInputStream.java:737)
at org.apache.hive.com.google.protobuf.CodedInputStream.isAtEnd(CodedInputStream.java:701)
at org.apache.hive.com.google.protobuf.CodedInputStream.readTag(CodedInputStream.java:99)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.<init>(OrcProto.java:10661)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.<init>(OrcProto.java:10625)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter$1.parsePartialFrom(OrcProto.java:10730)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter$1.parsePartialFrom(OrcProto.java:10725)
at org.apache.hive.com.google.protobuf.AbstractParser.parsePartialFrom(AbstractParser.java:200)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:217)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:223)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:49)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.parseFrom(OrcProto.java:10937)
at org.apache.hadoop.hive.ql.io.orc.MetadataReader.readStripeFooter(MetadataReader.java:113)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripeFooter(RecordReaderImpl.java:228)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.beginReadStripe(RecordReaderImpl.java:805)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripe(RecordReaderImpl.java:776)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.advanceStripe(RecordReaderImpl.java:986)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.advanceToNextRow(RecordReaderImpl.java:1019)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.<init>(RecordReaderImpl.java:205)
at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.rowsOptions(ReaderImpl.java:539)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.createReaderFromFile(OrcInputFormat.java:230)
at org.apache.hadoop.hive.ql.io.orc.SparkOrcNewRecordReader.<init>(SparkOrcNewRecordReader.java:48)
at org.apache.spark.sql.hive.orc.OrcFileFormat$$anonfun$buildReader$2.apply(OrcFileFormat.scala:151)
at org.apache.spark.sql.hive.orc.OrcFileFormat$$anonfun$buildReader$2.apply(OrcFileFormat.scala:125)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:279)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:263)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:124)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:98)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:314)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)

17/06/05 04:20:48 ERROR TaskSetManager: Task 0 in stage 0.0 failed 1 times; aborting job
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): org.iq80.snappy.CorruptionException: Invalid copy offset for opcode starting at 13
at org.iq80.snappy.SnappyDecompressor.decompressAllTags(SnappyDecompressor.java:165)
at org.iq80.snappy.SnappyDecompressor.uncompress(SnappyDecompressor.java:76)
at org.iq80.snappy.Snappy.uncompress(Snappy.java:43)
at org.apache.hadoop.hive.ql.io.orc.SnappyCodec.decompress(SnappyCodec.java:71)
at org.apache.hadoop.hive.ql.io.orc.InStream$CompressedStream.readHeader(InStream.java:214)
at org.apache.hadoop.hive.ql.io.orc.InStream$CompressedStream.read(InStream.java:238)
at java.io.InputStream.read(InputStream.java:101)
at org.apache.hive.com.google.protobuf.CodedInputStream.refillBuffer(CodedInputStream.java:737)
at org.apache.hive.com.google.protobuf.CodedInputStream.isAtEnd(CodedInputStream.java:701)
at org.apache.hive.com.google.protobuf.CodedInputStream.readTag(CodedInputStream.java:99)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.<init>(OrcProto.java:10661)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.<init>(OrcProto.java:10625)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter$1.parsePartialFrom(OrcProto.java:10730)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter$1.parsePartialFrom(OrcProto.java:10725)
at org.apache.hive.com.google.protobuf.AbstractParser.parsePartialFrom(AbstractParser.java:200)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:217)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:223)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:49)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.parseFrom(OrcProto.java:10937)
at org.apache.hadoop.hive.ql.io.orc.MetadataReader.readStripeFooter(MetadataReader.java:113)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripeFooter(RecordReaderImpl.java:228)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.beginReadStripe(RecordReaderImpl.java:805)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripe(RecordReaderImpl.java:776)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.advanceStripe(RecordReaderImpl.java:986)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.advanceToNextRow(RecordReaderImpl.java:1019)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.<init>(RecordReaderImpl.java:205)
at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.rowsOptions(ReaderImpl.java:539)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.createReaderFromFile(OrcInputFormat.java:230)
at org.apache.hadoop.hive.ql.io.orc.SparkOrcNewRecordReader.<init>(SparkOrcNewRecordReader.java:48)
at org.apache.spark.sql.hive.orc.OrcFileFormat$$anonfun$buildReader$2.apply(OrcFileFormat.scala:151)
at org.apache.spark.sql.hive.orc.OrcFileFormat$$anonfun$buildReader$2.apply(OrcFileFormat.scala:125)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:279)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:263)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:124)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:98)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:314)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)

Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1454)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1442)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1441)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1441)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:811)
at scala.Option.foreach(Option.scala:257)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:811)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1667)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1622)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1611)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:632)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1893)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1906)
at org.apache.spark.SparkContext.runJob(SparkContext.scala:1919)
at org.apache.spark.sql.execution.SparkPlan.executeTake(SparkPlan.scala:347)
at org.apache.spark.sql.execution.CollectLimitExec.executeCollect(limit.scala:39)
at org.apache.spark.sql.Dataset$$anonfun$org$apache$spark$sql$Dataset$$execute$1$1.apply(Dataset.scala:2201)
at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)
at org.apache.spark.sql.Dataset.withNewExecutionId(Dataset.scala:2554)
at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$execute$1(Dataset.scala:2200)
at org.apache.spark.sql.Dataset.org$apache$spark$sql$Dataset$$collect(Dataset.scala:2207)
at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1943)
at org.apache.spark.sql.Dataset$$anonfun$head$1.apply(Dataset.scala:1942)
at org.apache.spark.sql.Dataset.withTypedCallback(Dataset.scala:2584)
at org.apache.spark.sql.Dataset.head(Dataset.scala:1942)
at org.apache.spark.sql.Dataset.take(Dataset.scala:2157)
at org.apache.spark.sql.Dataset.showString(Dataset.scala:239)
at org.apache.spark.sql.Dataset.show(Dataset.scala:526)
at org.apache.spark.sql.Dataset.show(Dataset.scala:486)
at org.apache.spark.sql.Dataset.show(Dataset.scala:495)
... 48 elided
Caused by: org.iq80.snappy.CorruptionException: Invalid copy offset for opcode starting at 13
at org.iq80.snappy.SnappyDecompressor.decompressAllTags(SnappyDecompressor.java:165)
at org.iq80.snappy.SnappyDecompressor.uncompress(SnappyDecompressor.java:76)
at org.iq80.snappy.Snappy.uncompress(Snappy.java:43)
at org.apache.hadoop.hive.ql.io.orc.SnappyCodec.decompress(SnappyCodec.java:71)
at org.apache.hadoop.hive.ql.io.orc.InStream$CompressedStream.readHeader(InStream.java:214)
at org.apache.hadoop.hive.ql.io.orc.InStream$CompressedStream.read(InStream.java:238)
at java.io.InputStream.read(InputStream.java:101)
at org.apache.hive.com.google.protobuf.CodedInputStream.refillBuffer(CodedInputStream.java:737)
at org.apache.hive.com.google.protobuf.CodedInputStream.isAtEnd(CodedInputStream.java:701)
at org.apache.hive.com.google.protobuf.CodedInputStream.readTag(CodedInputStream.java:99)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.<init>(OrcProto.java:10661)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.<init>(OrcProto.java:10625)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter$1.parsePartialFrom(OrcProto.java:10730)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter$1.parsePartialFrom(OrcProto.java:10725)
at org.apache.hive.com.google.protobuf.AbstractParser.parsePartialFrom(AbstractParser.java:200)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:217)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:223)
at org.apache.hive.com.google.protobuf.AbstractParser.parseFrom(AbstractParser.java:49)
at org.apache.hadoop.hive.ql.io.orc.OrcProto$StripeFooter.parseFrom(OrcProto.java:10937)
at org.apache.hadoop.hive.ql.io.orc.MetadataReader.readStripeFooter(MetadataReader.java:113)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripeFooter(RecordReaderImpl.java:228)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.beginReadStripe(RecordReaderImpl.java:805)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.readStripe(RecordReaderImpl.java:776)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.advanceStripe(RecordReaderImpl.java:986)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.advanceToNextRow(RecordReaderImpl.java:1019)
at org.apache.hadoop.hive.ql.io.orc.RecordReaderImpl.<init>(RecordReaderImpl.java:205)
at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.rowsOptions(ReaderImpl.java:539)
at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.createReaderFromFile(OrcInputFormat.java:230)
at org.apache.hadoop.hive.ql.io.orc.SparkOrcNewRecordReader.<init>(SparkOrcNewRecordReader.java:48)
at org.apache.spark.sql.hive.orc.OrcFileFormat$$anonfun$buildReader$2.apply(OrcFileFormat.scala:151)
at org.apache.spark.sql.hive.orc.OrcFileFormat$$anonfun$buildReader$2.apply(OrcFileFormat.scala:125)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:279)
at org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:263)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:124)
at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:98)
at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:246)
at org.apache.spark.sql.execution.SparkPlan$$anonfun$4.apply(SparkPlan.scala:240)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
at org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$24.apply(RDD.scala:803)
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
at org.apache.spark.scheduler.Task.run(Task.scala:86)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:314)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)

Issue Links

• is related to: SPARK-26942 spark v 2.3.2 test failure in hive module
• relates to: SPARK-13736 Big-Endian plataform issues