[ 
https://issues.apache.org/jira/browse/SPARK-6554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Cheng Lian updated SPARK-6554:
------------------------------
    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:
{noformat}
/mydata
    /probeTypeId=1
        ...files...
    /probeTypeId=2
        ...files...
{noformat}
I see the column when I reference load a DF using the /mydata directory and 
call df.printSchema():
{noformat}
 |-- probeTypeId: integer (nullable = true)
{noformat}
Parquet is also aware of the column:
{noformat}
     optional int32 probeTypeId;
{noformat}
And this works fine:
{code}
sqlContext.sql("select probeTypeId from df limit 1");
{code}
...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:
{noformat}
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)
...
...
{noformat}
Here's the full stack trace:
{noformat}
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
{noformat}

  was:
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


> Cannot use partition columns in where clause
> --------------------------------------------
>
>                 Key: SPARK-6554
>                 URL: https://issues.apache.org/jira/browse/SPARK-6554
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.3.0
>            Reporter: Jon Chase
>
> 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:
> {noformat}
> /mydata
>     /probeTypeId=1
>         ...files...
>     /probeTypeId=2
>         ...files...
> {noformat}
> I see the column when I reference load a DF using the /mydata directory and 
> call df.printSchema():
> {noformat}
>  |-- probeTypeId: integer (nullable = true)
> {noformat}
> Parquet is also aware of the column:
> {noformat}
>      optional int32 probeTypeId;
> {noformat}
> And this works fine:
> {code}
> sqlContext.sql("select probeTypeId from df limit 1");
> {code}
> ...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:
> {noformat}
> 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)
> ...
> ...
> {noformat}
> Here's the full stack trace:
> {noformat}
> 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
> {noformat}



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