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From "Yin Huai (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-5508) Arrays and Maps stored with Hive Parquet Serde may not be able to read by the Parquet support in the Data Souce API
Date Thu, 19 Mar 2015 23:22:38 GMT

     [ https://issues.apache.org/jira/browse/SPARK-5508?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Yin Huai updated SPARK-5508:
----------------------------
    Description: 
*The root cause of this bug is explained below ([see here|])*


When the table is saved as parquet, we cannot query a field which is an array of struct after
an INSERT statement, like show bellow:  

{noformat}
scala> val data1="""{
     |     "timestamp": 1422435598,
     |     "data_array": [
     |         {
     |             "field1": 1,
     |             "field2": 2
     |         }
     |     ]
     | }"""
scala> val data2="""{
     |     "timestamp": 1422435598,
     |     "data_array": [
     |         {
     |             "field1": 3,
     |             "field2": 4
     |         }
     |     ]

scala> val jsonRDD = sc.makeRDD(data1 :: data2 :: Nil)
scala> val rdd = hiveContext.jsonRDD(jsonRDD)
scala> rdd.printSchema
root
 |-- data_array: array (nullable = true)
 |    |-- element: struct (containsNull = false)
 |    |    |-- field1: integer (nullable = true)
 |    |    |-- field2: integer (nullable = true)
 |-- timestamp: integer (nullable = true)


scala> rdd.registerTempTable("tmp_table")
scala> hiveContext.sql("select data.field1 from tmp_table LATERAL VIEW explode(data_array)
nestedStuff AS data").collect
res3: Array[org.apache.spark.sql.Row] = Array([1], [3])

scala> hiveContext.sql("SET hive.exec.dynamic.partition = true")
scala> hiveContext.sql("SET hive.exec.dynamic.partition.mode = nonstrict")
scala> hiveContext.sql("set parquet.compression=GZIP")
scala> hiveContext.setConf("spark.sql.parquet.binaryAsString", "true")

scala> hiveContext.sql("create external table if not exists persisted_table(data_array
ARRAY <STRUCT<field1: INT, field2: INT>>, timestamp INT) STORED AS PARQUET Location
'hdfs://****/test_table'")

scala> hiveContext.sql("insert into table persisted_table select * from tmp_table").collect
scala> hiveContext.sql("select data.field1 from persisted_table LATERAL VIEW explode(data_array)
nestedStuff AS data").collect

parquet.io.ParquetDecodingException: Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213)
  at parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204)
  at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:145)
  at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$class.foreach(Iterator.scala:727)
  at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
  at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
  at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
  at scala.collection.AbstractIterator.to(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
  at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
  at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
  at org.apache.spark.scheduler.Task.run(Task.scala:56)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
  at java.lang.Thread.run(Thread.java:744)
Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0
  at java.util.ArrayList.rangeCheck(ArrayList.java:635)
  at java.util.ArrayList.get(ArrayList.java:411)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:94)
  at parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:274)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:131)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:96)
  at parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:136)
  at parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:96)
  at parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:126)
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:193)
  ... 28 more

15/01/30 16:49:55 INFO TaskSetManager: Starting task 1.1 in stage 3.0 (TID 12, ****, NODE_LOCAL,
1610 bytes)
15/01/30 16:49:55 INFO TaskSetManager: Lost task 1.1 in stage 3.0 (TID 12) on executor ****:
parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001)
[duplicate 1]
15/01/30 16:49:55 INFO TaskSetManager: Starting task 1.2 in stage 3.0 (TID 13, ****, NODE_LOCAL,
1610 bytes)
15/01/30 16:49:55 WARN TaskSetManager: Lost task 2.0 in stage 3.0 (TID 11, ****): parquet.io.ParquetDecodingException:
Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00002
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213)
  at parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204)
  at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:145)
  at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$class.foreach(Iterator.scala:727)
  at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
  at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
  at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
  at scala.collection.AbstractIterator.to(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
  at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
  at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
  at org.apache.spark.scheduler.Task.run(Task.scala:56)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
  at java.lang.Thread.run(Thread.java:744)
Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0
  at java.util.ArrayList.rangeCheck(ArrayList.java:635)
  at java.util.ArrayList.get(ArrayList.java:411)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:94)
  at parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:274)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:131)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:96)
  at parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:136)
  at parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:96)
  at parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:126)
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:193)
  ... 28 more

15/01/30 16:49:55 INFO TaskSetManager: Starting task 2.1 in stage 3.0 (TID 14, ****, NODE_LOCAL,
1610 bytes)
15/01/30 16:49:55 INFO TaskSetManager: Lost task 1.2 in stage 3.0 (TID 13) on executor ****:
parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001)
[duplicate 2]
15/01/30 16:49:55 INFO TaskSetManager: Starting task 1.3 in stage 3.0 (TID 15, ****, NODE_LOCAL,
1610 bytes)
15/01/30 16:49:55 INFO TaskSetManager: Lost task 1.3 in stage 3.0 (TID 15) on executor ****:
parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001)
[duplicate 3]
15/01/30 16:49:55 ERROR TaskSetManager: Task 1 in stage 3.0 failed 4 times; aborting job
15/01/30 16:49:55 INFO TaskSchedulerImpl: Cancelling stage 3
15/01/30 16:49:55 INFO TaskSchedulerImpl: Stage 3 was cancelled
15/01/30 16:49:55 INFO TaskSetManager: Lost task 2.1 in stage 3.0 (TID 14) on executor ****:
parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00002)
[duplicate 1]
15/01/30 16:49:55 INFO TaskSchedulerImpl: Removed TaskSet 3.0, whose tasks have all completed,
from pool 
15/01/30 16:49:55 INFO DAGScheduler: Job 3 failed: collect at SparkPlan.scala:84, took 1.259053
s
org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 3.0 failed
4 times, most recent failure: Lost task 1.3 in stage 3.0 (TID 15, ****): parquet.io.ParquetDecodingException:
Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213)
  at parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204)
  at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:145)
  at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$class.foreach(Iterator.scala:727)
  at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
  at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
  at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
  at scala.collection.AbstractIterator.to(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
  at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
  at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
  at org.apache.spark.scheduler.Task.run(Task.scala:56)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
  at java.lang.Thread.run(Thread.java:744)
Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0
  at java.util.ArrayList.rangeCheck(ArrayList.java:635)
  at java.util.ArrayList.get(ArrayList.java:411)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:94)
  at parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:274)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:131)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:96)
  at parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:136)
  at parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:96)
  at parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:126)
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:193)
  ... 28 more

Driver stacktrace:
  at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
  at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
  at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
  at scala.Option.foreach(Option.scala:236)
  at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
  at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375)
  at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
  at akka.actor.ActorCell.invoke(ActorCell.scala:487)
  at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
  at akka.dispatch.Mailbox.run(Mailbox.scala:220)
  at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
  at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
  at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
  at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
  at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
{noformat}


  was:
When the table is saved as parquet, we cannot query a field which is an array of struct after
an INSERT statement, like show bellow:  

{noformat}
scala> val data1="""{
     |     "timestamp": 1422435598,
     |     "data_array": [
     |         {
     |             "field1": 1,
     |             "field2": 2
     |         }
     |     ]
     | }"""
scala> val data2="""{
     |     "timestamp": 1422435598,
     |     "data_array": [
     |         {
     |             "field1": 3,
     |             "field2": 4
     |         }
     |     ]

scala> val jsonRDD = sc.makeRDD(data1 :: data2 :: Nil)
scala> val rdd = hiveContext.jsonRDD(jsonRDD)
scala> rdd.printSchema
root
 |-- data_array: array (nullable = true)
 |    |-- element: struct (containsNull = false)
 |    |    |-- field1: integer (nullable = true)
 |    |    |-- field2: integer (nullable = true)
 |-- timestamp: integer (nullable = true)


scala> rdd.registerTempTable("tmp_table")
scala> hiveContext.sql("select data.field1 from tmp_table LATERAL VIEW explode(data_array)
nestedStuff AS data").collect
res3: Array[org.apache.spark.sql.Row] = Array([1], [3])

scala> hiveContext.sql("SET hive.exec.dynamic.partition = true")
scala> hiveContext.sql("SET hive.exec.dynamic.partition.mode = nonstrict")
scala> hiveContext.sql("set parquet.compression=GZIP")
scala> hiveContext.setConf("spark.sql.parquet.binaryAsString", "true")

scala> hiveContext.sql("create external table if not exists persisted_table(data_array
ARRAY <STRUCT<field1: INT, field2: INT>>, timestamp INT) STORED AS PARQUET Location
'hdfs://****/test_table'")

scala> hiveContext.sql("insert into table persisted_table select * from tmp_table").collect
scala> hiveContext.sql("select data.field1 from persisted_table LATERAL VIEW explode(data_array)
nestedStuff AS data").collect

parquet.io.ParquetDecodingException: Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213)
  at parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204)
  at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:145)
  at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$class.foreach(Iterator.scala:727)
  at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
  at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
  at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
  at scala.collection.AbstractIterator.to(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
  at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
  at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
  at org.apache.spark.scheduler.Task.run(Task.scala:56)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
  at java.lang.Thread.run(Thread.java:744)
Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0
  at java.util.ArrayList.rangeCheck(ArrayList.java:635)
  at java.util.ArrayList.get(ArrayList.java:411)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:94)
  at parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:274)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:131)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:96)
  at parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:136)
  at parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:96)
  at parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:126)
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:193)
  ... 28 more

15/01/30 16:49:55 INFO TaskSetManager: Starting task 1.1 in stage 3.0 (TID 12, ****, NODE_LOCAL,
1610 bytes)
15/01/30 16:49:55 INFO TaskSetManager: Lost task 1.1 in stage 3.0 (TID 12) on executor ****:
parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001)
[duplicate 1]
15/01/30 16:49:55 INFO TaskSetManager: Starting task 1.2 in stage 3.0 (TID 13, ****, NODE_LOCAL,
1610 bytes)
15/01/30 16:49:55 WARN TaskSetManager: Lost task 2.0 in stage 3.0 (TID 11, ****): parquet.io.ParquetDecodingException:
Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00002
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213)
  at parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204)
  at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:145)
  at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$class.foreach(Iterator.scala:727)
  at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
  at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
  at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
  at scala.collection.AbstractIterator.to(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
  at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
  at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
  at org.apache.spark.scheduler.Task.run(Task.scala:56)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
  at java.lang.Thread.run(Thread.java:744)
Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0
  at java.util.ArrayList.rangeCheck(ArrayList.java:635)
  at java.util.ArrayList.get(ArrayList.java:411)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:94)
  at parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:274)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:131)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:96)
  at parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:136)
  at parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:96)
  at parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:126)
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:193)
  ... 28 more

15/01/30 16:49:55 INFO TaskSetManager: Starting task 2.1 in stage 3.0 (TID 14, ****, NODE_LOCAL,
1610 bytes)
15/01/30 16:49:55 INFO TaskSetManager: Lost task 1.2 in stage 3.0 (TID 13) on executor ****:
parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001)
[duplicate 2]
15/01/30 16:49:55 INFO TaskSetManager: Starting task 1.3 in stage 3.0 (TID 15, ****, NODE_LOCAL,
1610 bytes)
15/01/30 16:49:55 INFO TaskSetManager: Lost task 1.3 in stage 3.0 (TID 15) on executor ****:
parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001)
[duplicate 3]
15/01/30 16:49:55 ERROR TaskSetManager: Task 1 in stage 3.0 failed 4 times; aborting job
15/01/30 16:49:55 INFO TaskSchedulerImpl: Cancelling stage 3
15/01/30 16:49:55 INFO TaskSchedulerImpl: Stage 3 was cancelled
15/01/30 16:49:55 INFO TaskSetManager: Lost task 2.1 in stage 3.0 (TID 14) on executor ****:
parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00002)
[duplicate 1]
15/01/30 16:49:55 INFO TaskSchedulerImpl: Removed TaskSet 3.0, whose tasks have all completed,
from pool 
15/01/30 16:49:55 INFO DAGScheduler: Job 3 failed: collect at SparkPlan.scala:84, took 1.259053
s
org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 3.0 failed
4 times, most recent failure: Lost task 1.3 in stage 3.0 (TID 15, ****): parquet.io.ParquetDecodingException:
Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213)
  at parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204)
  at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:145)
  at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
  at scala.collection.Iterator$class.foreach(Iterator.scala:727)
  at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
  at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
  at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
  at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
  at scala.collection.AbstractIterator.to(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
  at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
  at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
  at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
  at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
  at org.apache.spark.scheduler.Task.run(Task.scala:56)
  at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
  at java.lang.Thread.run(Thread.java:744)
Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0
  at java.util.ArrayList.rangeCheck(ArrayList.java:635)
  at java.util.ArrayList.get(ArrayList.java:411)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:99)
  at parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:94)
  at parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:274)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:131)
  at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:96)
  at parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:136)
  at parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:96)
  at parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:126)
  at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:193)
  ... 28 more

Driver stacktrace:
  at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
  at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
  at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
  at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
  at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
  at scala.Option.foreach(Option.scala:236)
  at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
  at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
  at org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375)
  at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
  at akka.actor.ActorCell.invoke(ActorCell.scala:487)
  at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
  at akka.dispatch.Mailbox.run(Mailbox.scala:220)
  at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
  at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
  at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
  at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
  at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
{noformat}



> Arrays and Maps stored with Hive Parquet Serde may not be able to read by the Parquet
support in the Data Souce API
> -------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-5508
>                 URL: https://issues.apache.org/jira/browse/SPARK-5508
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.2.1
>         Environment: mesos, cdh
>            Reporter: Ayoub Benali
>              Labels: hivecontext, parquet
>
> *The root cause of this bug is explained below ([see here|])*
> When the table is saved as parquet, we cannot query a field which is an array of struct
after an INSERT statement, like show bellow:  
> {noformat}
> scala> val data1="""{
>      |     "timestamp": 1422435598,
>      |     "data_array": [
>      |         {
>      |             "field1": 1,
>      |             "field2": 2
>      |         }
>      |     ]
>      | }"""
> scala> val data2="""{
>      |     "timestamp": 1422435598,
>      |     "data_array": [
>      |         {
>      |             "field1": 3,
>      |             "field2": 4
>      |         }
>      |     ]
> scala> val jsonRDD = sc.makeRDD(data1 :: data2 :: Nil)
> scala> val rdd = hiveContext.jsonRDD(jsonRDD)
> scala> rdd.printSchema
> root
>  |-- data_array: array (nullable = true)
>  |    |-- element: struct (containsNull = false)
>  |    |    |-- field1: integer (nullable = true)
>  |    |    |-- field2: integer (nullable = true)
>  |-- timestamp: integer (nullable = true)
> scala> rdd.registerTempTable("tmp_table")
> scala> hiveContext.sql("select data.field1 from tmp_table LATERAL VIEW explode(data_array)
nestedStuff AS data").collect
> res3: Array[org.apache.spark.sql.Row] = Array([1], [3])
> scala> hiveContext.sql("SET hive.exec.dynamic.partition = true")
> scala> hiveContext.sql("SET hive.exec.dynamic.partition.mode = nonstrict")
> scala> hiveContext.sql("set parquet.compression=GZIP")
> scala> hiveContext.setConf("spark.sql.parquet.binaryAsString", "true")
> scala> hiveContext.sql("create external table if not exists persisted_table(data_array
ARRAY <STRUCT<field1: INT, field2: INT>>, timestamp INT) STORED AS PARQUET Location
'hdfs://****/test_table'")
> scala> hiveContext.sql("insert into table persisted_table select * from tmp_table").collect
> scala> hiveContext.sql("select data.field1 from persisted_table LATERAL VIEW explode(data_array)
nestedStuff AS data").collect
> parquet.io.ParquetDecodingException: Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001
>   at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213)
>   at parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204)
>   at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:145)
>   at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
>   at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>   at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
>   at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>   at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>   at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>   at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>   at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
>   at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
>   at scala.collection.AbstractIterator.to(Iterator.scala:1157)
>   at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
>   at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
>   at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
>   at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
>   at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
>   at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
>   at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
>   at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
>   at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
>   at org.apache.spark.scheduler.Task.run(Task.scala:56)
>   at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200)
>   at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>   at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>   at java.lang.Thread.run(Thread.java:744)
> Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0
>   at java.util.ArrayList.rangeCheck(ArrayList.java:635)
>   at java.util.ArrayList.get(ArrayList.java:411)
>   at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
>   at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
>   at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
>   at parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:99)
>   at parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:94)
>   at parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:274)
>   at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:131)
>   at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:96)
>   at parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:136)
>   at parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:96)
>   at parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:126)
>   at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:193)
>   ... 28 more
> 15/01/30 16:49:55 INFO TaskSetManager: Starting task 1.1 in stage 3.0 (TID 12, ****,
NODE_LOCAL, 1610 bytes)
> 15/01/30 16:49:55 INFO TaskSetManager: Lost task 1.1 in stage 3.0 (TID 12) on executor
****: parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001)
[duplicate 1]
> 15/01/30 16:49:55 INFO TaskSetManager: Starting task 1.2 in stage 3.0 (TID 13, ****,
NODE_LOCAL, 1610 bytes)
> 15/01/30 16:49:55 WARN TaskSetManager: Lost task 2.0 in stage 3.0 (TID 11, ****): parquet.io.ParquetDecodingException:
Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00002
>   at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213)
>   at parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204)
>   at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:145)
>   at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
>   at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>   at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
>   at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>   at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>   at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>   at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>   at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
>   at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
>   at scala.collection.AbstractIterator.to(Iterator.scala:1157)
>   at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
>   at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
>   at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
>   at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
>   at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
>   at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
>   at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
>   at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
>   at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
>   at org.apache.spark.scheduler.Task.run(Task.scala:56)
>   at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200)
>   at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>   at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>   at java.lang.Thread.run(Thread.java:744)
> Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0
>   at java.util.ArrayList.rangeCheck(ArrayList.java:635)
>   at java.util.ArrayList.get(ArrayList.java:411)
>   at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
>   at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
>   at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
>   at parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:99)
>   at parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:94)
>   at parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:274)
>   at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:131)
>   at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:96)
>   at parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:136)
>   at parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:96)
>   at parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:126)
>   at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:193)
>   ... 28 more
> 15/01/30 16:49:55 INFO TaskSetManager: Starting task 2.1 in stage 3.0 (TID 14, ****,
NODE_LOCAL, 1610 bytes)
> 15/01/30 16:49:55 INFO TaskSetManager: Lost task 1.2 in stage 3.0 (TID 13) on executor
****: parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001)
[duplicate 2]
> 15/01/30 16:49:55 INFO TaskSetManager: Starting task 1.3 in stage 3.0 (TID 15, ****,
NODE_LOCAL, 1610 bytes)
> 15/01/30 16:49:55 INFO TaskSetManager: Lost task 1.3 in stage 3.0 (TID 15) on executor
****: parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001)
[duplicate 3]
> 15/01/30 16:49:55 ERROR TaskSetManager: Task 1 in stage 3.0 failed 4 times; aborting
job
> 15/01/30 16:49:55 INFO TaskSchedulerImpl: Cancelling stage 3
> 15/01/30 16:49:55 INFO TaskSchedulerImpl: Stage 3 was cancelled
> 15/01/30 16:49:55 INFO TaskSetManager: Lost task 2.1 in stage 3.0 (TID 14) on executor
****: parquet.io.ParquetDecodingException (Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00002)
[duplicate 1]
> 15/01/30 16:49:55 INFO TaskSchedulerImpl: Removed TaskSet 3.0, whose tasks have all completed,
from pool 
> 15/01/30 16:49:55 INFO DAGScheduler: Job 3 failed: collect at SparkPlan.scala:84, took
1.259053 s
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 3.0
failed 4 times, most recent failure: Lost task 1.3 in stage 3.0 (TID 15, ****): parquet.io.ParquetDecodingException:
Can not read value at 0 in block -1 in file hdfs://*****/test_table/part-00001
>   at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213)
>   at parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204)
>   at org.apache.spark.rdd.NewHadoopRDD$$anon$1.hasNext(NewHadoopRDD.scala:145)
>   at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
>   at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>   at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
>   at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>   at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>   at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>   at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
>   at scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
>   at scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
>   at scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
>   at scala.collection.AbstractIterator.to(Iterator.scala:1157)
>   at scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
>   at scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
>   at scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
>   at scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
>   at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
>   at org.apache.spark.rdd.RDD$$anonfun$17.apply(RDD.scala:797)
>   at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
>   at org.apache.spark.SparkContext$$anonfun$runJob$4.apply(SparkContext.scala:1353)
>   at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
>   at org.apache.spark.scheduler.Task.run(Task.scala:56)
>   at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:200)
>   at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>   at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>   at java.lang.Thread.run(Thread.java:744)
> Caused by: java.lang.IndexOutOfBoundsException: Index: 0, Size: 0
>   at java.util.ArrayList.rangeCheck(ArrayList.java:635)
>   at java.util.ArrayList.get(ArrayList.java:411)
>   at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
>   at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
>   at parquet.io.GroupColumnIO.getFirst(GroupColumnIO.java:99)
>   at parquet.io.PrimitiveColumnIO.getFirst(PrimitiveColumnIO.java:99)
>   at parquet.io.PrimitiveColumnIO.isFirst(PrimitiveColumnIO.java:94)
>   at parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:274)
>   at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:131)
>   at parquet.io.MessageColumnIO$1.visit(MessageColumnIO.java:96)
>   at parquet.filter2.compat.FilterCompat$NoOpFilter.accept(FilterCompat.java:136)
>   at parquet.io.MessageColumnIO.getRecordReader(MessageColumnIO.java:96)
>   at parquet.hadoop.InternalParquetRecordReader.checkRead(InternalParquetRecordReader.java:126)
>   at parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:193)
>   ... 28 more
> Driver stacktrace:
>   at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
>   at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
>   at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
>   at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>   at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>   at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
>   at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
>   at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
>   at scala.Option.foreach(Option.scala:236)
>   at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
>   at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
>   at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
>   at org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375)
>   at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
>   at akka.actor.ActorCell.invoke(ActorCell.scala:487)
>   at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
>   at akka.dispatch.Mailbox.run(Mailbox.scala:220)
>   at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
>   at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>   at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>   at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>   at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> {noformat}



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