Details
Critical Description
I'm having trouble referencing partition columns in my queries with Parquet.
In the following example, 'probeTypeId' is a partition column. For example, the directory structure looks like this:
/mydata
/probeTypeId=1
...files...
/probeTypeId=2
...files...
I see the column when I reference load a DF using the /mydata directory and call df.printSchema():
|-- probeTypeId: integer (nullable = true)
Parquet is also aware of the column:
optional int32 probeTypeId;
And this works fine:
sqlContext.sql("select probeTypeId from df limit 1");
...as does df.show() - it shows the correct values for the partition column.
However, when I try to use a partition column in a where clause, I get an exception stating that the column was not found in the schema:
sqlContext.sql("select probeTypeId from df where probeTypeId = 1 limit 1");
...
...
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.IllegalArgumentException: Column [probeTypeId] was not found in schema!
at parquet.Preconditions.checkArgument(Preconditions.java:47)
at parquet.filter2.predicate.SchemaCompatibilityValidator.getColumnDescriptor(SchemaCompatibilityValidator.java:172)
at parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumn(SchemaCompatibilityValidator.java:160)
at parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumnFilterPredicate(SchemaCompatibilityValidator.java:142)
at parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:76)
at parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:41)
at parquet.filter2.predicate.Operators$Eq.accept(Operators.java:162)
at parquet.filter2.predicate.SchemaCompatibilityValidator.validate(SchemaCompatibilityValidator.java:46)
at parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:41)
at parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:22)
at parquet.filter2.compat.FilterCompat$FilterPredicateCompat.accept(FilterCompat.java:108)
at parquet.filter2.compat.RowGroupFilter.filterRowGroups(RowGroupFilter.java:28)
at parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:158)
...
...
Here's the full stack trace:
using local[*] for master
06:05:55,675 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - debug attribute not set
06:05:55,683 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
06:05:55,694 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [STDOUT]
06:05:55,721 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
06:05:55,768 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
06:05:55,768 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [STDOUT] to Logger[ROOT]
06:05:55,769 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
06:05:55,770 |-INFO in ch.qos.logback.classic.joran.JoranConfigurator@6aaceffd - Registering current configuration as safe fallback point
INFO org.apache.spark.SparkContext Running Spark version 1.3.0
WARN o.a.hadoop.util.NativeCodeLoader Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
INFO org.apache.spark.SecurityManager Changing view acls to: jon
INFO org.apache.spark.SecurityManager Changing modify acls to: jon
INFO org.apache.spark.SecurityManager SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(jon); users with modify permissions: Set(jon)
INFO akka.event.slf4j.Slf4jLogger Slf4jLogger started
INFO Remoting Starting remoting
INFO Remoting Remoting started; listening on addresses :[akka.tcp://sparkDriver@192.168.1.134:62493]
INFO org.apache.spark.util.Utils Successfully started service 'sparkDriver' on port 62493.
INFO org.apache.spark.SparkEnv Registering MapOutputTracker
INFO org.apache.spark.SparkEnv Registering BlockManagerMaster
INFO o.a.spark.storage.DiskBlockManager Created local directory at /var/folders/x7/9hdp8kw9569864088tsl4jmm0000gn/T/spark-150e23b2-ff19-4a51-8cfc-25fb8e1b3f2b/blockmgr-6eea286c-7473-4bda-8886-7250156b68f4
INFO org.apache.spark.storage.MemoryStore MemoryStore started with capacity 1966.1 MB
INFO org.apache.spark.HttpFileServer HTTP File server directory is /var/folders/x7/9hdp8kw9569864088tsl4jmm0000gn/T/spark-cf4687bd-1563-4ddf-b697-21c96fd95561/httpd-6343b9c9-bb66-43ac-ac43-6da80c7a1f95
INFO org.apache.spark.HttpServer Starting HTTP Server
INFO o.spark-project.jetty.server.Server jetty-8.y.z-SNAPSHOT
INFO o.s.jetty.server.AbstractConnector Started SocketConnector@0.0.0.0:62494
INFO org.apache.spark.util.Utils Successfully started service 'HTTP file server' on port 62494.
INFO org.apache.spark.SparkEnv Registering OutputCommitCoordinator
INFO o.spark-project.jetty.server.Server jetty-8.y.z-SNAPSHOT
INFO o.s.jetty.server.AbstractConnector Started SelectChannelConnector@0.0.0.0:4040
INFO org.apache.spark.util.Utils Successfully started service 'SparkUI' on port 4040.
INFO org.apache.spark.ui.SparkUI Started SparkUI at http://192.168.1.134:4040
INFO org.apache.spark.executor.Executor Starting executor ID <driver> on host localhost
INFO org.apache.spark.util.AkkaUtils Connecting to HeartbeatReceiver: akka.tcp://sparkDriver@192.168.1.134:62493/user/HeartbeatReceiver
INFO o.a.s.n.n.NettyBlockTransferService Server created on 62495
INFO o.a.spark.storage.BlockManagerMaster Trying to register BlockManager
INFO o.a.s.s.BlockManagerMasterActor Registering block manager localhost:62495 with 1966.1 MB RAM, BlockManagerId(<driver>, localhost, 62495)
INFO o.a.spark.storage.BlockManagerMaster Registered BlockManager
INFO o.a.h.conf.Configuration.deprecation mapred.max.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.maxsize
INFO o.a.h.conf.Configuration.deprecation mapred.reduce.tasks.speculative.execution is deprecated. Instead, use mapreduce.reduce.speculative
INFO o.a.h.conf.Configuration.deprecation mapred.committer.job.setup.cleanup.needed is deprecated. Instead, use mapreduce.job.committer.setup.cleanup.needed
INFO o.a.h.conf.Configuration.deprecation mapred.min.split.size.per.rack is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize.per.rack
INFO o.a.h.conf.Configuration.deprecation mapred.min.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize
INFO o.a.h.conf.Configuration.deprecation mapred.min.split.size.per.node is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize.per.node
INFO o.a.h.conf.Configuration.deprecation mapred.reduce.tasks is deprecated. Instead, use mapreduce.job.reduces
INFO o.a.h.conf.Configuration.deprecation mapred.input.dir.recursive is deprecated. Instead, use mapreduce.input.fileinputformat.input.dir.recursive
INFO o.a.h.hive.metastore.HiveMetaStore 0: Opening raw store with implemenation class:org.apache.hadoop.hive.metastore.ObjectStore
INFO o.a.h.hive.metastore.ObjectStore ObjectStore, initialize called
INFO DataNucleus.Persistence Property hive.metastore.integral.jdo.pushdown unknown - will be ignored
INFO DataNucleus.Persistence Property datanucleus.cache.level2 unknown - will be ignored
INFO o.a.h.hive.metastore.ObjectStore Setting MetaStore object pin classes with hive.metastore.cache.pinobjtypes="Table,StorageDescriptor,SerDeInfo,Partition,Database,Type,FieldSchema,Order"
INFO o.a.h.h.metastore.MetaStoreDirectSql MySQL check failed, assuming we are not on mysql: Lexical error at line 1, column 5. Encountered: "@" (64), after : "".
INFO DataNucleus.Datastore The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
INFO DataNucleus.Datastore The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
INFO DataNucleus.Datastore The class "org.apache.hadoop.hive.metastore.model.MFieldSchema" is tagged as "embedded-only" so does not have its own datastore table.
INFO DataNucleus.Datastore The class "org.apache.hadoop.hive.metastore.model.MOrder" is tagged as "embedded-only" so does not have its own datastore table.
INFO DataNucleus.Query Reading in results for query "org.datanucleus.store.rdbms.query.SQLQuery@0" since the connection used is closing
INFO o.a.h.hive.metastore.ObjectStore Initialized ObjectStore
INFO o.a.h.hive.metastore.HiveMetaStore Added admin role in metastore
INFO o.a.h.hive.metastore.HiveMetaStore Added public role in metastore
INFO o.a.h.hive.metastore.HiveMetaStore No user is added in admin role, since config is empty
INFO o.a.h.hive.ql.session.SessionState No Tez session required at this point. hive.execution.engine=mr.
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.
root
|-- clientMarketId: integer (nullable = true)
|-- clientCountryId: integer (nullable = true)
|-- clientRegionId: integer (nullable = true)
|-- clientStateId: integer (nullable = true)
|-- clientAsnId: integer (nullable = true)
|-- reporterZoneId: integer (nullable = true)
|-- reporterCustomerId: integer (nullable = true)
|-- responseCode: integer (nullable = true)
|-- measurementValue: integer (nullable = true)
|-- year: integer (nullable = true)
|-- month: integer (nullable = true)
|-- day: integer (nullable = true)
|-- providerOwnerZoneId: integer (nullable = true)
|-- providerOwnerCustomerId: integer (nullable = true)
|-- providerId: integer (nullable = true)
|-- probeTypeId: integer (nullable = true)
======================================================
INFO hive.ql.parse.ParseDriver Parsing command: select probeTypeId from df where probeTypeId = 1 limit 1
INFO hive.ql.parse.ParseDriver Parse Completed
==== results for select probeTypeId from df where probeTypeId = 1 limit 1
======================================================
INFO o.a.s.sql.parquet.ParquetRelation2 Reading 33.33333333333333% of partitions
INFO org.apache.spark.storage.MemoryStore ensureFreeSpace(191336) called with curMem=0, maxMem=2061647216
INFO org.apache.spark.storage.MemoryStore Block broadcast_0 stored as values in memory (estimated size 186.9 KB, free 1966.0 MB)
INFO org.apache.spark.storage.MemoryStore ensureFreeSpace(27530) called with curMem=191336, maxMem=2061647216
INFO org.apache.spark.storage.MemoryStore Block broadcast_0_piece0 stored as bytes in memory (estimated size 26.9 KB, free 1965.9 MB)
INFO o.a.spark.storage.BlockManagerInfo Added broadcast_0_piece0 in memory on localhost:62495 (size: 26.9 KB, free: 1966.1 MB)
INFO o.a.spark.storage.BlockManagerMaster Updated info of block broadcast_0_piece0
INFO org.apache.spark.SparkContext Created broadcast 0 from NewHadoopRDD at newParquet.scala:447
INFO o.a.h.conf.Configuration.deprecation mapred.max.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.maxsize
INFO o.a.h.conf.Configuration.deprecation mapred.min.split.size is deprecated. Instead, use mapreduce.input.fileinputformat.split.minsize
INFO o.a.s.s.p.ParquetRelation2$$anon$1$$anon$2 Using Task Side Metadata Split Strategy
INFO org.apache.spark.SparkContext Starting job: runJob at SparkPlan.scala:121
INFO o.a.spark.scheduler.DAGScheduler Got job 0 (runJob at SparkPlan.scala:121) with 1 output partitions (allowLocal=false)
INFO o.a.spark.scheduler.DAGScheduler Final stage: Stage 0(runJob at SparkPlan.scala:121)
INFO o.a.spark.scheduler.DAGScheduler Parents of final stage: List()
INFO o.a.spark.scheduler.DAGScheduler Missing parents: List()
INFO o.a.spark.scheduler.DAGScheduler Submitting Stage 0 (MapPartitionsRDD[3] at map at SparkPlan.scala:96), which has no missing parents
INFO org.apache.spark.storage.MemoryStore ensureFreeSpace(5512) called with curMem=218866, maxMem=2061647216
INFO org.apache.spark.storage.MemoryStore Block broadcast_1 stored as values in memory (estimated size 5.4 KB, free 1965.9 MB)
INFO org.apache.spark.storage.MemoryStore ensureFreeSpace(3754) called with curMem=224378, maxMem=2061647216
INFO org.apache.spark.storage.MemoryStore Block broadcast_1_piece0 stored as bytes in memory (estimated size 3.7 KB, free 1965.9 MB)
INFO o.a.spark.storage.BlockManagerInfo Added broadcast_1_piece0 in memory on localhost:62495 (size: 3.7 KB, free: 1966.1 MB)
INFO o.a.spark.storage.BlockManagerMaster Updated info of block broadcast_1_piece0
INFO org.apache.spark.SparkContext Created broadcast 1 from broadcast at DAGScheduler.scala:839
INFO o.a.spark.scheduler.DAGScheduler Submitting 1 missing tasks from Stage 0 (MapPartitionsRDD[3] at map at SparkPlan.scala:96)
INFO o.a.s.scheduler.TaskSchedulerImpl Adding task set 0.0 with 1 tasks
INFO o.a.spark.scheduler.TaskSetManager Starting task 0.0 in stage 0.0 (TID 0, localhost, PROCESS_LOCAL, 1687 bytes)
INFO org.apache.spark.executor.Executor Running task 0.0 in stage 0.0 (TID 0)
INFO o.a.s.s.p.ParquetRelation2$$anon$1 Input split: ParquetInputSplit{part: file:/Users/jon/Downloads/sparksql/1partitionsminusgeo/year=2015/month=1/day=14/providerOwnerZoneId=0/providerOwnerCustomerId=0/providerId=287/probeTypeId=1/part-r-00001.parquet start: 0 end: 8851183 length: 8851183 hosts: [] requestedSchema: message root {
optional int32 probeTypeId;
}
readSupportMetadata: {org.apache.spark.sql.parquet.row.requested_schema={"type":"struct","fields":[{"name":"probeTypeId","type":"integer","nullable":true,"metadata":{}}]}, org.apache.spark.sql.parquet.row.metadata={"type":"struct","fields":[{"name":"clientMarketId","type":"integer","nullable":true,"metadata":{}},{"name":"clientCountryId","type":"integer","nullable":true,"metadata":{}},{"name":"clientRegionId","type":"integer","nullable":true,"metadata":{}},{"name":"clientStateId","type":"integer","nullable":true,"metadata":{}},{"name":"clientAsnId","type":"integer","nullable":true,"metadata":{}},{"name":"reporterZoneId","type":"integer","nullable":true,"metadata":{}},{"name":"reporterCustomerId","type":"integer","nullable":true,"metadata":{}},{"name":"responseCode","type":"integer","nullable":true,"metadata":{}},{"name":"measurementValue","type":"integer","nullable":true,"metadata":{}},{"name":"year","type":"integer","nullable":true,"metadata":{}},{"name":"month","type":"integer","nullable":true,"metadata":{}},{"name":"day","type":"integer","nullable":true,"metadata":{}},{"name":"providerOwnerZoneId","type":"integer","nullable":true,"metadata":{}},{"name":"providerOwnerCustomerId","type":"integer","nullable":true,"metadata":{}},{"name":"providerId","type":"integer","nullable":true,"metadata":{}},{"name":"probeTypeId","type":"integer","nullable":true,"metadata":{}}]}}}
ERROR org.apache.spark.executor.Executor Exception in task 0.0 in stage 0.0 (TID 0)
java.lang.IllegalArgumentException: Column [probeTypeId] was not found in schema!
at parquet.Preconditions.checkArgument(Preconditions.java:47) ~[parquet-common-1.6.0rc3.jar:na]
at parquet.filter2.predicate.SchemaCompatibilityValidator.getColumnDescriptor(SchemaCompatibilityValidator.java:172) ~[parquet-column-1.6.0rc3.jar:na]
at parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumn(SchemaCompatibilityValidator.java:160) ~[parquet-column-1.6.0rc3.jar:na]
at parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumnFilterPredicate(SchemaCompatibilityValidator.java:142) ~[parquet-column-1.6.0rc3.jar:na]
at parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:76) ~[parquet-column-1.6.0rc3.jar:na]
at parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:41) ~[parquet-column-1.6.0rc3.jar:na]
at parquet.filter2.predicate.Operators$Eq.accept(Operators.java:162) ~[parquet-column-1.6.0rc3.jar:na]
at parquet.filter2.predicate.SchemaCompatibilityValidator.validate(SchemaCompatibilityValidator.java:46) ~[parquet-column-1.6.0rc3.jar:na]
at parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:41) ~[parquet-hadoop-1.6.0rc3.jar:na]
at parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:22) ~[parquet-hadoop-1.6.0rc3.jar:na]
at parquet.filter2.compat.FilterCompat$FilterPredicateCompat.accept(FilterCompat.java:108) ~[parquet-column-1.6.0rc3.jar:na]
at parquet.filter2.compat.RowGroupFilter.filterRowGroups(RowGroupFilter.java:28) ~[parquet-hadoop-1.6.0rc3.jar:na]
at parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:158) ~[parquet-hadoop-1.6.0rc3.jar:na]
at parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:138) ~[parquet-hadoop-1.6.0rc3.jar:na]
at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:133) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:104) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:66) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.NewHadoopRDD$NewHadoopMapPartitionsWithSplitRDD.compute(NewHadoopRDD.scala:244) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:35) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.scheduler.Task.run(Task.scala:64) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203) ~[spark-core_2.10-1.3.0.jar:1.3.0]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) [na:1.8.0_31]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) [na:1.8.0_31]
at java.lang.Thread.run(Thread.java:745) [na:1.8.0_31]
WARN o.a.spark.scheduler.TaskSetManager Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.IllegalArgumentException: Column [probeTypeId] was not found in schema!
at parquet.Preconditions.checkArgument(Preconditions.java:47)
at parquet.filter2.predicate.SchemaCompatibilityValidator.getColumnDescriptor(SchemaCompatibilityValidator.java:172)
at parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumn(SchemaCompatibilityValidator.java:160)
at parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumnFilterPredicate(SchemaCompatibilityValidator.java:142)
at parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:76)
at parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:41)
at parquet.filter2.predicate.Operators$Eq.accept(Operators.java:162)
at parquet.filter2.predicate.SchemaCompatibilityValidator.validate(SchemaCompatibilityValidator.java:46)
at parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:41)
at parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:22)
at parquet.filter2.compat.FilterCompat$FilterPredicateCompat.accept(FilterCompat.java:108)
at parquet.filter2.compat.RowGroupFilter.filterRowGroups(RowGroupFilter.java:28)
at parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:158)
at parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:138)
at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:133)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:104)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:66)
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.NewHadoopRDD$NewHadoopMapPartitionsWithSplitRDD.compute(NewHadoopRDD.scala:244)
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.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:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
ERROR o.a.spark.scheduler.TaskSetManager Task 0 in stage 0.0 failed 1 times; aborting job
INFO o.a.s.scheduler.TaskSchedulerImpl Removed TaskSet 0.0, whose tasks have all completed, from pool
INFO o.a.s.scheduler.TaskSchedulerImpl Cancelling stage 0
INFO o.a.spark.scheduler.DAGScheduler Job 0 failed: runJob at SparkPlan.scala:121, took 0.132538 s
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/metrics/json,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/stages/stage/kill,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/static,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/executors/threadDump/json,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/executors/threadDump,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/executors/json,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/executors,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/environment/json,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/environment,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/storage/rdd/json,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/storage/rdd,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/storage/json,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/storage,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/stages/pool/json,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/stages/pool,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/stages/stage/json,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/stages/stage,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/stages/json,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/stages,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/jobs/job/json,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/jobs/job,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/jobs/json,null}
INFO o.s.j.server.handler.ContextHandler stopped o.s.j.s.ServletContextHandler{/jobs,null}
INFO org.apache.spark.ui.SparkUI Stopped Spark web UI at http://192.168.1.134:4040
INFO o.a.spark.scheduler.DAGScheduler Stopping DAGScheduler
INFO o.a.s.MapOutputTrackerMasterActor MapOutputTrackerActor stopped!
INFO org.apache.spark.storage.MemoryStore MemoryStore cleared
INFO o.apache.spark.storage.BlockManager BlockManager stopped
INFO o.a.spark.storage.BlockManagerMaster BlockManagerMaster stopped
INFO o.a.s.s.OutputCommitCoordinator$OutputCommitCoordinatorActor OutputCommitCoordinator stopped!
INFO org.apache.spark.SparkContext Successfully stopped SparkContext
org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.IllegalArgumentException: Column [probeTypeId] was not found in schema!
at parquet.Preconditions.checkArgument(Preconditions.java:47)
at parquet.filter2.predicate.SchemaCompatibilityValidator.getColumnDescriptor(SchemaCompatibilityValidator.java:172)
at parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumn(SchemaCompatibilityValidator.java:160)
at parquet.filter2.predicate.SchemaCompatibilityValidator.validateColumnFilterPredicate(SchemaCompatibilityValidator.java:142)
at parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:76)
at parquet.filter2.predicate.SchemaCompatibilityValidator.visit(SchemaCompatibilityValidator.java:41)
at parquet.filter2.predicate.Operators$Eq.accept(Operators.java:162)
at parquet.filter2.predicate.SchemaCompatibilityValidator.validate(SchemaCompatibilityValidator.java:46)
at parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:41)
at parquet.filter2.compat.RowGroupFilter.visit(RowGroupFilter.java:22)
at parquet.filter2.compat.FilterCompat$FilterPredicateCompat.accept(FilterCompat.java:108)
at parquet.filter2.compat.RowGroupFilter.filterRowGroups(RowGroupFilter.java:28)
at parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:158)
at parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:138)
at org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:133)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:104)
at org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:66)
at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:277)
at org.apache.spark.rdd.RDD.iterator(RDD.scala:244)
at org.apache.spark.rdd.NewHadoopRDD$NewHadoopMapPartitionsWithSplitRDD.compute(NewHadoopRDD.scala:244)
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.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:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:203)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1203)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1192)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1191)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1191)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:693)
at scala.Option.foreach(Option.scala:236)
at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:693)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1393)
at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1354)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
Mar 26, 2015 6:06:02 AM INFO: parquet.filter2.compat.FilterCompat: Filtering using predicate: eq(probeTypeId, 1)
Mar 26, 2015 6:06:02 AM WARNING: parquet.hadoop.ParquetRecordReader: Can not initialize counter due to context is not a instance of TaskInputOutputContext, but is org.apache.hadoop.mapreduce.task.TaskAttemptContextImpl
Mar 26, 2015 6:06:02 AM INFO: parquet.filter2.compat.FilterCompat: Filtering using predicate: eq(probeTypeId, 1)
Process finished with exit code 255
