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Posted to issues@spark.apache.org by "ketan kunde (JIRA)" <ji...@apache.org> on 2019/04/09 08:38:00 UTC
[jira] [Commented] (SPARK-20984) Reading back from ORC format gives
error on big endian systems.
[ https://issues.apache.org/jira/browse/SPARK-20984?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16813126#comment-16813126 ]
ketan kunde commented on SPARK-20984:
-------------------------------------
Hi
I understand that ORC file format is not well read on big endian systems.
I am looking to build spark as spark standalone, since orc related test cases are exclusive to Hive module which will not be part of spark standalone build
Can i neglect all orc related test cases for spark standalone build and ensure that i am not compromising on any of the spark standalone features?
Regards
Ketan Kunde
> Reading back from ORC format gives error on big endian systems.
> ---------------------------------------------------------------
>
> Key: SPARK-20984
> URL: https://issues.apache.org/jira/browse/SPARK-20984
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 2.0.0
> 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]$
> Reporter: Mahesh
> Priority: Major
> Labels: big-endian
> Attachments: hive_test_failure_log.txt
>
>
> 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)
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