sparksql读取hive数据报错：java.lang.RuntimeException: serious problem

问题：

Caused by: java.util.concurrent.ExecutionException: java.lang.IndexOutOfBoundsException: Index: 0
	at java.util.concurrent.FutureTask.report(FutureTask.java:122)
	at java.util.concurrent.FutureTask.get(FutureTask.java:192)
	at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1016)
	... 65 more
Caused by: java.lang.IndexOutOfBoundsException: Index: 0
	at java.util.Collections$EmptyList.get(Collections.java:4454)
	at org.apache.hadoop.hive.ql.io.orc.OrcProto$Type.getSubtypes(OrcProto.java:12240)
	at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.getColumnIndicesFromNames(ReaderImpl.java:651)
	at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.getRawDataSizeOfColumns(ReaderImpl.java:634)
	at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.populateAndCacheStripeDetails(OrcInputFormat.java:927)
	at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.call(OrcInputFormat.java:836)
	at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat$SplitGenerator.call(OrcInputFormat.java:702)
	at java.util.concurrent.FutureTask.run(FutureTask.java:266)
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
	at java.lang.Thread.run(Thread.java:748)
java.lang.RuntimeException: serious problem
	at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.generateSplitsInfo(OrcInputFormat.java:1021)
	at org.apache.hadoop.hive.ql.io.orc.OrcInputFormat.getSplits(OrcInputFormat.java:1048)
	at org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:200)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
	at scala.Option.getOrElse(Option.scala:121)
	at org.apache.spark.rdd.RDD.partitions(RDD.scala:251)
	at org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:46)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:253)
	at org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:251)
	at scala.Option.getOrElse(Option.scala:121)

原因：

sparksql生成的hive表有空文件，但是sparksql读取空文件的时候，因为表示orc格式的，导致sparksql解析orc文件出错。但是用hive却可以正常读取。

解决办法：

设置set spark.sql.hive.convertMetastoreOrc=true

单纯的设置以上参数还是会报错：

java.lang.IndexOutOfBoundsException
	at java.nio.Buffer.checkIndex(Buffer.java:540)
	at java.nio.HeapByteBuffer.get(HeapByteBuffer.java:139)
	at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.extractMetaInfoFromFooter(ReaderImpl.java:374)
	at org.apache.hadoop.hive.ql.io.orc.ReaderImpl.<init>(ReaderImpl.java:316)
	at org.apache.hadoop.hive.ql.io.orc.OrcFile.createReader(OrcFile.java:187)
	at org.apache.spark.sql.hive.orc.OrcFileOperator$$anonfun$getFileReader$2.apply(OrcFileOperator.scala:75)
	at org.apache.spark.sql.hive.orc.OrcFileOperator$$anonfun$getFileReader$2.apply(OrcFileOperator.scala:73)
	at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
	at scala.collection.TraversableOnce$class.collectFirst(TraversableOnce.scala:145)
	at scala.collection.AbstractIterator.collectFirst(Iterator.scala:1336)
	at org.apache.spark.sql.hive.orc.OrcFileOperator$.getFileReader(OrcFileOperator.scala:86)
	at org.apache.spark.sql.hive.orc.OrcFileOperator$$anonfun$readSchema$1.apply(OrcFileOperator.scala:95)
	at org.apache.spark.sql.hive.orc.OrcFileOperator$$anonfun$readSchema$1.apply(OrcFileOperator.scala:95)
	at scala.collection.immutable.Stream.flatMap(Stream.scala:489)

需要再设置set spark.sql.orc.impl=native

参考https://issues.apache.org/jira/browse/SPARK-19809