The same error if I do: val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc) val results = sqlContext.sql("SELECT * FROM stats")
but it does work from Hive shell directly... On Mon, Sep 7, 2015 at 1:56 PM, Alex Kozlov <ale...@gmail.com> wrote: > I am trying to read an (array typed) parquet file in spark-shell (Spark > 1.4.1 with Hadoop 2.6): > > {code} > $ bin/spark-shell > log4j:WARN No appenders could be found for logger > (org.apache.hadoop.metrics2.lib.MutableMetricsFactory). > log4j:WARN Please initialize the log4j system properly. > log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for > more info. > Using Spark's default log4j profile: > org/apache/spark/log4j-defaults.properties > 15/09/07 13:45:22 INFO SecurityManager: Changing view acls to: hivedata > 15/09/07 13:45:22 INFO SecurityManager: Changing modify acls to: hivedata > 15/09/07 13:45:22 INFO SecurityManager: SecurityManager: authentication > disabled; ui acls disabled; users with view permissions: Set(hivedata); > users with modify permissions: Set(hivedata) > 15/09/07 13:45:23 INFO HttpServer: Starting HTTP Server > 15/09/07 13:45:23 INFO Utils: Successfully started service 'HTTP class > server' on port 43731. > Welcome to > ____ __ > / __/__ ___ _____/ /__ > _\ \/ _ \/ _ `/ __/ '_/ > /___/ .__/\_,_/_/ /_/\_\ version 1.4.1 > /_/ > > Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0) > Type in expressions to have them evaluated. > Type :help for more information. > 15/09/07 13:45:26 INFO SparkContext: Running Spark version 1.4.1 > 15/09/07 13:45:26 INFO SecurityManager: Changing view acls to: hivedata > 15/09/07 13:45:26 INFO SecurityManager: Changing modify acls to: hivedata > 15/09/07 13:45:26 INFO SecurityManager: SecurityManager: authentication > disabled; ui acls disabled; users with view permissions: Set(hivedata); > users with modify permissions: Set(hivedata) > 15/09/07 13:45:27 INFO Slf4jLogger: Slf4jLogger started > 15/09/07 13:45:27 INFO Remoting: Starting remoting > 15/09/07 13:45:27 INFO Remoting: Remoting started; listening on addresses > :[akka.tcp://sparkDriver@10.10.30.52:46083] > 15/09/07 13:45:27 INFO Utils: Successfully started service 'sparkDriver' > on port 46083. > 15/09/07 13:45:27 INFO SparkEnv: Registering MapOutputTracker > 15/09/07 13:45:27 INFO SparkEnv: Registering BlockManagerMaster > 15/09/07 13:45:27 INFO DiskBlockManager: Created local directory at > /tmp/spark-f313315a-0769-4057-835d-196cfe140a26/blockmgr-bd1b8498-9f6a-47c4-ae59-8800563f97d0 > 15/09/07 13:45:27 INFO MemoryStore: MemoryStore started with capacity > 265.1 MB > 15/09/07 13:45:27 INFO HttpFileServer: HTTP File server directory is > /tmp/spark-f313315a-0769-4057-835d-196cfe140a26/httpd-3fbe0c9d-c0c5-41ef-bf72-4f0ef59bfa21 > 15/09/07 13:45:27 INFO HttpServer: Starting HTTP Server > 15/09/07 13:45:27 INFO Utils: Successfully started service 'HTTP file > server' on port 38717. > 15/09/07 13:45:27 INFO SparkEnv: Registering OutputCommitCoordinator > 15/09/07 13:45:27 WARN Utils: Service 'SparkUI' could not bind on port > 4040. Attempting port 4041. > 15/09/07 13:45:27 INFO Utils: Successfully started service 'SparkUI' on > port 4041. > 15/09/07 13:45:27 INFO SparkUI: Started SparkUI at http://10.10.30.52:4041 > 15/09/07 13:45:27 INFO Executor: Starting executor ID driver on host > localhost > 15/09/07 13:45:27 INFO Executor: Using REPL class URI: > http://10.10.30.52:43731 > 15/09/07 13:45:27 INFO Utils: Successfully started service > 'org.apache.spark.network.netty.NettyBlockTransferService' on port 60973. > 15/09/07 13:45:27 INFO NettyBlockTransferService: Server created on 60973 > 15/09/07 13:45:27 INFO BlockManagerMaster: Trying to register BlockManager > 15/09/07 13:45:27 INFO BlockManagerMasterEndpoint: Registering block > manager localhost:60973 with 265.1 MB RAM, BlockManagerId(driver, > localhost, 60973) > 15/09/07 13:45:27 INFO BlockManagerMaster: Registered BlockManager > 15/09/07 13:45:28 INFO SparkILoop: Created spark context.. > Spark context available as sc. > 15/09/07 13:45:28 INFO HiveContext: Initializing execution hive, version > 0.13.1 > 15/09/07 13:45:28 INFO HiveMetaStore: 0: Opening raw store with > implemenation class:org.apache.hadoop.hive.metastore.ObjectStore > 15/09/07 13:45:29 INFO ObjectStore: ObjectStore, initialize called > 15/09/07 13:45:29 INFO Persistence: Property > hive.metastore.integral.jdo.pushdown unknown - will be ignored > 15/09/07 13:45:29 INFO Persistence: Property datanucleus.cache.level2 > unknown - will be ignored > 15/09/07 13:45:29 WARN Connection: BoneCP specified but not present in > CLASSPATH (or one of dependencies) > 15/09/07 13:45:29 WARN Connection: BoneCP specified but not present in > CLASSPATH (or one of dependencies) > 15/09/07 13:45:36 INFO ObjectStore: Setting MetaStore object pin classes > with > hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order" > 15/09/07 13:45:36 INFO MetaStoreDirectSql: MySQL check failed, assuming we > are not on mysql: Lexical error at line 1, column 5. Encountered: "@" > (64), after : "". > 15/09/07 13:45:37 INFO Datastore: The class > "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as > "embedded-only" so does not have its own datastore table. > 15/09/07 13:45:37 INFO Datastore: The class > "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as > "embedded-only" so does not have its own datastore table. > 15/09/07 13:45:42 INFO Datastore: The class > "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as > "embedded-only" so does not have its own datastore table. > 15/09/07 13:45:42 INFO Datastore: The class > "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as > "embedded-only" so does not have its own datastore table. > 15/09/07 13:45:43 INFO ObjectStore: Initialized ObjectStore > 15/09/07 13:45:43 WARN ObjectStore: Version information not found in > metastore. hive.metastore.schema.verification is not enabled so recording > the schema version 0.13.1aa > 15/09/07 13:45:44 INFO HiveMetaStore: Added admin role in metastore > 15/09/07 13:45:44 INFO HiveMetaStore: Added public role in metastore > 15/09/07 13:45:44 INFO HiveMetaStore: No user is added in admin role, > since config is empty > 15/09/07 13:45:45 INFO SessionState: No Tez session required at this > point. hive.execution.engine=mr. > 15/09/07 13:45:45 INFO SparkILoop: Created sql context (with Hive > support).. > SQL context available as sqlContext. > > scala> val df = sqlContext.parquetFile("stats.parquet").cache > warning: there were 1 deprecation warning(s); re-run with -deprecation for > details > SLF4J: Failed to load class "org.slf4j.impl.StaticLoggerBinder". > SLF4J: Defaulting to no-operation (NOP) logger implementation > SLF4J: See http://www.slf4j.org/codes.html#StaticLoggerBinder for further > details. > 15/09/07 13:45:49 INFO HiveContext: Initializing HiveMetastoreConnection > version 0.13.1 using Spark classes. > 15/09/07 13:45:49 WARN NativeCodeLoader: Unable to load native-hadoop > library for your platform... using builtin-java classes where applicable > 15/09/07 13:45:49 INFO HiveMetaStore: 0: Opening raw store with > implemenation class:org.apache.hadoop.hive.metastore.ObjectStore > 15/09/07 13:45:49 INFO ObjectStore: ObjectStore, initialize called > 15/09/07 13:45:50 INFO Persistence: Property > hive.metastore.integral.jdo.pushdown unknown - will be ignored > 15/09/07 13:45:50 INFO Persistence: Property datanucleus.cache.level2 > unknown - will be ignored > 15/09/07 13:45:50 WARN Connection: BoneCP specified but not present in > CLASSPATH (or one of dependencies) > 15/09/07 13:45:50 WARN Connection: BoneCP specified but not present in > CLASSPATH (or one of dependencies) > 15/09/07 13:45:51 INFO ObjectStore: Setting MetaStore object pin classes > with > hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order" > 15/09/07 13:45:51 INFO MetaStoreDirectSql: MySQL check failed, assuming we > are not on mysql: Lexical error at line 1, column 5. Encountered: "@" > (64), after : "". > 15/09/07 13:45:52 INFO Datastore: The class > "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as > "embedded-only" so does not have its own datastore table. > 15/09/07 13:45:52 INFO Datastore: The class > "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as > "embedded-only" so does not have its own datastore table. > 15/09/07 13:45:52 INFO Datastore: The class > "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as > "embedded-only" so does not have its own datastore table. > 15/09/07 13:45:52 INFO Datastore: The class > "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as > "embedded-only" so does not have its own datastore table. > 15/09/07 13:45:52 INFO Query: Reading in results for query > "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used > is closing > 15/09/07 13:45:52 INFO ObjectStore: Initialized ObjectStore > 15/09/07 13:45:53 INFO HiveMetaStore: Added admin role in metastore > 15/09/07 13:45:53 INFO HiveMetaStore: Added public role in metastore > 15/09/07 13:45:53 INFO HiveMetaStore: No user is added in admin role, > since config is empty > 15/09/07 13:45:53 INFO SessionState: No Tez session required at this > point. hive.execution.engine=mr. > 15/09/07 13:45:53 INFO MemoryStore: ensureFreeSpace(213456) called with > curMem=0, maxMem=278019440 > 15/09/07 13:45:53 INFO MemoryStore: Block broadcast_0 stored as values in > memory (estimated size 208.5 KB, free 264.9 MB) > 15/09/07 13:45:53 INFO MemoryStore: ensureFreeSpace(19750) called with > curMem=213456, maxMem=278019440 > 15/09/07 13:45:53 INFO MemoryStore: Block broadcast_0_piece0 stored as > bytes in memory (estimated size 19.3 KB, free 264.9 MB) > 15/09/07 13:45:53 INFO BlockManagerInfo: Added broadcast_0_piece0 in > memory on localhost:60973 (size: 19.3 KB, free: 265.1 MB) > 15/09/07 13:45:53 INFO SparkContext: Created broadcast 0 from cache at > <console>:19 > dataFrame: org.apache.spark.sql.DataFrame = [date_time: string, type: > string, type_value: string, newly_observed: string, risk_score: string, > dates_seen: array<string>, hosts_current: array<string>, hosts_historical: > array<string>, md5s_current: array<string>, md5s_historical: array<string>, > processes_current: array<string>, processes_historical: array<string>, > paths_current: array<string>, paths_historical: array<string>, > ports_current: array<string>, ports_historical: array<string>] > > scala> val values = df.first > 15/09/07 13:45:58 INFO deprecation: mapred.max.split.size is deprecated. > Instead, use mapreduce.input.fileinputformat.split.maxsize > 15/09/07 13:45:58 INFO deprecation: mapred.min.split.size is deprecated. > Instead, use mapreduce.input.fileinputformat.split.minsize > 15/09/07 13:45:58 INFO > ParquetRelation2$$anonfun$buildScan$1$$anon$1$$anon$2: Using Task Side > Metadata Split Strategy > 15/09/07 13:45:58 INFO SparkContext: Starting job: first at <console>:21 > 15/09/07 13:45:59 INFO DAGScheduler: Got job 0 (first at <console>:21) > with 1 output partitions (allowLocal=false) > 15/09/07 13:45:59 INFO DAGScheduler: Final stage: ResultStage 0(first at > <console>:21) > 15/09/07 13:45:59 INFO DAGScheduler: Parents of final stage: List() > 15/09/07 13:45:59 INFO DAGScheduler: Missing parents: List() > 15/09/07 13:45:59 INFO DAGScheduler: Submitting ResultStage 0 > (MapPartitionsRDD[4] at first at <console>:21), which has no missing parents > 15/09/07 13:45:59 INFO MemoryStore: ensureFreeSpace(22552) called with > curMem=233206, maxMem=278019440 > 15/09/07 13:45:59 INFO MemoryStore: Block broadcast_1 stored as values in > memory (estimated size 22.0 KB, free 264.9 MB) > 15/09/07 13:45:59 INFO MemoryStore: ensureFreeSpace(8219) called with > curMem=255758, maxMem=278019440 > 15/09/07 13:45:59 INFO MemoryStore: Block broadcast_1_piece0 stored as > bytes in memory (estimated size 8.0 KB, free 264.9 MB) > 15/09/07 13:45:59 INFO BlockManagerInfo: Added broadcast_1_piece0 in > memory on localhost:60973 (size: 8.0 KB, free: 265.1 MB) > 15/09/07 13:45:59 INFO SparkContext: Created broadcast 1 from broadcast at > DAGScheduler.scala:874 > 15/09/07 13:45:59 INFO DAGScheduler: Submitting 1 missing tasks from > ResultStage 0 (MapPartitionsRDD[4] at first at <console>:21) > 15/09/07 13:45:59 INFO TaskSchedulerImpl: Adding task set 0.0 with 1 tasks > 15/09/07 13:45:59 INFO TaskSetManager: Starting task 0.0 in stage 0.0 (TID > 0, localhost, PROCESS_LOCAL, 1894 bytes) > 15/09/07 13:45:59 INFO Executor: Running task 0.0 in stage 0.0 (TID 0) > 15/09/07 13:45:59 INFO CacheManager: Partition rdd_2_0 not found, > computing it > 15/09/07 13:45:59 INFO ParquetRelation2$$anonfun$buildScan$1$$anon$1: > Input split: ParquetInputSplit{part: > file:/home/hivedata/spark-1.4.1-bin-hadoop2.6/stats.parquet start: 0 end: > 2373831 length: 2373831 hosts: [] requestedSchema: message root { > optional binary date_time (UTF8); > optional binary type (UTF8); > optional binary type_value (UTF8); > optional binary newly_observed (UTF8); > optional binary risk_score (UTF8); > optional group dates_seen (LIST) { > repeated group bag { > optional binary array (UTF8); > } > } > optional group hosts_current (LIST) { > repeated group bag { > optional binary array (UTF8); > } > } > optional group hosts_historical (LIST) { > repeated group bag { > optional binary array (UTF8); > } > } > optional group md5s_current (LIST) { > repeated group bag { > optional binary array (UTF8); > } > } > optional group md5s_historical (LIST) { > repeated group bag { > optional binary array (UTF8); > } > } > optional group processes_current (LIST) { > repeated group bag { > optional binary array (UTF8); > } > } > optional group processes_historical (LIST) { > repeated group bag { > optional binary array (UTF8); > } > } > optional group paths_current (LIST) { > repeated group bag { > optional binary array (UTF8); > } > } > optional group paths_historical (LIST) { > repeated group bag { > optional binary array (UTF8); > } > } > optional group ports_current (LIST) { > repeated group bag { > optional binary array (UTF8); > } > } > optional group ports_historical (LIST) { > repeated group bag { > optional binary array (UTF8); > } > } > } > readSupportMetadata: > {org.apache.spark.sql.parquet.row.requested_schema={"type":"struct","fields":[{"name":"date_time","type":"string","nullable":true,"metadata":{}},{"name":"type","type":"string","nullable":true,"metadata":{}},{"name":"type_value","type":"string","nullable":true,"metadata":{}},{"name":"newly_observed","type":"string","nullable":true,"metadata":{}},{"name":"risk_score","type":"string","nullable":true,"metadata":{}},{"name":"dates_seen","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"hosts_current","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"hosts_historical","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"md5s_current","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"md5s_historical","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"processes_current","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"processes_historical","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"paths_current","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"paths_historical","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"ports_current","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"ports_historical","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}}]}, > org.apache.spark.sql.parquet.row.metadata={"type":"struct","fields":[{"name":"date_time","type":"string","nullable":true,"metadata":{}},{"name":"type","type":"string","nullable":true,"metadata":{}},{"name":"type_value","type":"string","nullable":true,"metadata":{}},{"name":"newly_observed","type":"string","nullable":true,"metadata":{}},{"name":"risk_score","type":"string","nullable":true,"metadata":{}},{"name":"dates_seen","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"hosts_current","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"hosts_historical","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"md5s_current","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"md5s_historical","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"processes_current","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"processes_historical","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"paths_current","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"paths_historical","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"ports_current","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}},{"name":"ports_historical","type":{"type":"array","elementType":"string","containsNull":true},"nullable":true,"metadata":{}}]}}} > 15/09/07 13:45:59 ERROR Executor: Exception in task 0.0 in stage 0.0 (TID > 0) > parquet.io.ParquetDecodingException: Can not read value at 0 in block -1 > in file file:/home/hivedata/spark-1.4.1-bin-hadoop2.6/stats.parquet > at > parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213) > at > parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204) > at > org.apache.spark.sql.sources.SqlNewHadoopRDD$$anon$1.hasNext(SqlNewHadoopRDD.scala:163) > at > org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at > org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.hasNext(InMemoryColumnarTableScan.scala:160) > at org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:276) > at org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:171) > at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:242) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) > at org.apache.spark.scheduler.Task.run(Task.scala:70) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) > 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:744) > Caused by: java.lang.ArrayIndexOutOfBoundsException: -1 > at java.util.ArrayList.elementData(ArrayList.java:403) > at java.util.ArrayList.get(ArrayList.java:416) > at parquet.io.GroupColumnIO.getLast(GroupColumnIO.java:95) > at parquet.io.GroupColumnIO.getLast(GroupColumnIO.java:95) > at parquet.io.GroupColumnIO.getLast(GroupColumnIO.java:95) > at parquet.io.PrimitiveColumnIO.getLast(PrimitiveColumnIO.java:80) > at parquet.io.PrimitiveColumnIO.isLast(PrimitiveColumnIO.java:74) > at > parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:290) > 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) > ... 21 more > 15/09/07 13:45:59 WARN TaskSetManager: Lost task 0.0 in stage 0.0 (TID 0, > localhost): parquet.io.ParquetDecodingException: Can not read value at 0 in > block -1 in file file:/home/hivedata/spark-1.4.1-bin-hadoop2.6/stats.parquet > at > parquet.hadoop.InternalParquetRecordReader.nextKeyValue(InternalParquetRecordReader.java:213) > at > parquet.hadoop.ParquetRecordReader.nextKeyValue(ParquetRecordReader.java:204) > at > org.apache.spark.sql.sources.SqlNewHadoopRDD$$anon$1.hasNext(SqlNewHadoopRDD.scala:163) > at > org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39) > at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327) > at > org.apache.spark.sql.columnar.InMemoryRelation$$anonfun$3$$anon$1.hasNext(InMemoryColumnarTableScan.scala:160) > at org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:276) > at org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:171) > at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:242) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) > at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) > at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) > at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:63) > at org.apache.spark.scheduler.Task.run(Task.scala:70) > at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213) > 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:744) > Caused by: java.lang.ArrayIndexOutOfBoundsException: -1 > at java.util.ArrayList.elementData(ArrayList.java:403) > at java.util.ArrayList.get(ArrayList.java:416) > at parquet.io.GroupColumnIO.getLast(GroupColumnIO.java:95) > at parquet.io.GroupColumnIO.getLast(GroupColumnIO.java:95) > at parquet.io.GroupColumnIO.getLast(GroupColumnIO.java:95) > at parquet.io.PrimitiveColumnIO.getLast(PrimitiveColumnIO.java:80) > at parquet.io.PrimitiveColumnIO.isLast(PrimitiveColumnIO.java:74) > at > parquet.io.RecordReaderImplementation.<init>(RecordReaderImplementation.java:290) > 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) > ... 21 more > {code} > > The file reads fine with parquet-tools. The code has been downloaded from > http://spark.apache.org/downloads.html. > > The code does work with non-array types. > > I would file a bug, but Apache JIRA refuses to register me (actually, > re-register since I lost my previous account). > > -- > ale...@gmail.com >