No, it was created in Hive by CTAS, but any help is appreciated...
On Mon, Sep 7, 2015 at 2:51 PM, Ruslan Dautkhanov <dautkha...@gmail.com>
wrote:
> That parquet table wasn't created in Spark, is it?
>
> There was a recent discussion on this list that complex data types in
> Spark prior to 1.5 often incompatible with Hive for example, if I remember
> correctly.
> On Mon, Sep 7, 2015, 2:57 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 works 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
>>
>
--
Alex Kozlov
(408) 507-4987
(408) 830-9982 fax
(650) 887-2135 efax
ale...@gmail.com
