Hi,
Added “l_linestatus” it works, THANK YOU!!
sqlContext.sql("select l_linestatus, l_orderkey, l_linenumber, l_partkey,
l_quantity, l_shipdate, L_RETURNFLAG, L_LINESTATUS from lineitem order by
L_LINESTATUS limit 10").collect().foreach(println);
14/10/25 07:03:24 INFO DAGScheduler: Stage 12 (takeOrdered at
basicOperators.scala:171) finished in 54.358 s
14/10/25 07:03:24 INFO TaskSchedulerImpl: Removed TaskSet 12.0, whose tasks
have all completed, from pool
14/10/25 07:03:24 INFO SparkContext: Job finished: takeOrdered at
basicOperators.scala:171, took 54.374629175 s
[F,71769288,2,-5859884,13,1993-12-13,R,F]
[F,71769319,4,-4098165,19,1992-10-12,R,F]
[F,71769288,3,2903707,44,1994-10-08,R,F]
[F,71769285,2,-741439,42,1994-04-22,R,F]
[F,71769313,5,-1276467,12,1992-08-15,R,F]
[F,71769314,7,-5595080,13,1992-03-28,A,F]
[F,71769316,1,-1766622,16,1993-12-05,R,F]
[F,71769287,2,-767340,50,1993-06-21,A,F]
[F,71769317,2,665847,15,1992-05-03,A,F]
[F,71769286,1,-5667701,15,1994-04-17,A,F]
Regards
Arthur
On 24 Oct, 2014, at 2:58 pm, Akhil Das <ak...@sigmoidanalytics.com> wrote:
> Not sure if this would help, but make sure you are having the column
> l_linestatus in the data.
>
> Thanks
> Best Regards
>
> On Thu, Oct 23, 2014 at 5:59 AM, arthur.hk.c...@gmail.com
> <arthur.hk.c...@gmail.com> wrote:
> Hi,
>
> I got java.lang.NullPointerException. Please help!
>
>
> sqlContext.sql("select l_orderkey, l_linenumber, l_partkey, l_quantity,
> l_shipdate, L_RETURNFLAG, L_LINESTATUS from lineitem limit
> 10").collect().foreach(println);
>
> 2014-10-23 08:20:12,024 INFO [sparkDriver-akka.actor.default-dispatcher-31]
> scheduler.DAGScheduler (Logging.scala:logInfo(59)) - Stage 41 (runJob at
> basicOperators.scala:136) finished in 0.086 s
> 2014-10-23 08:20:12,024 INFO [Result resolver thread-1]
> scheduler.TaskSchedulerImpl (Logging.scala:logInfo(59)) - Removed TaskSet
> 41.0, whose tasks have all completed, from pool
> 2014-10-23 08:20:12,024 INFO [main] spark.SparkContext
> (Logging.scala:logInfo(59)) - Job finished: runJob at
> basicOperators.scala:136, took 0.090129332 s
> [90000001,6,-4584121,17,1997-01-04,N,O]
> [90000002,1,-2818574,23,1996-02-16,N,O]
> [90000002,2,-2449102,21,1993-12-12,A,F]
> [90000002,3,-5810699,26,1994-04-06,A,F]
> [90000002,4,-489283,18,1994-11-11,R,F]
> [90000002,5,2169683,15,1997-09-14,N,O]
> [90000002,6,2405081,4,1992-08-03,R,F]
> [90000002,7,3835341,40,1998-04-28,N,O]
> [90000003,1,1900071,4,1994-05-05,R,F]
> [90000004,1,-2614665,41,1993-06-13,A,F]
>
>
> If "order by L_LINESTATUS” is added then error:
> sqlContext.sql("select l_orderkey, l_linenumber, l_partkey, l_quantity,
> l_shipdate, L_RETURNFLAG, L_LINESTATUS from lineitem order by L_LINESTATUS
> limit 10").collect().foreach(println);
>
> 2014-10-23 08:22:08,524 INFO [main] parse.ParseDriver
> (ParseDriver.java:parse(179)) - Parsing command: select l_orderkey,
> l_linenumber, l_partkey, l_quantity, l_shipdate, L_RETURNFLAG, L_LINESTATUS
> from lineitem order by L_LINESTATUS limit 10
> 2014-10-23 08:22:08,525 INFO [main] parse.ParseDriver
> (ParseDriver.java:parse(197)) - Parse Completed
> 2014-10-23 08:22:08,526 INFO [main] metastore.HiveMetaStore
> (HiveMetaStore.java:logInfo(454)) - 0: get_table : db=boc_12 tbl=lineitem
> 2014-10-23 08:22:08,526 INFO [main] HiveMetaStore.audit
> (HiveMetaStore.java:logAuditEvent(239)) - ugi=hd ip=unknown-ip-addr
> cmd=get_table : db=boc_12 tbl=lineitem
> java.lang.NullPointerException
> at
> org.apache.spark.SparkContext.defaultParallelism(SparkContext.scala:1262)
> at
> org.apache.spark.SparkContext.defaultMinPartitions(SparkContext.scala:1269)
> at
> org.apache.spark.sql.hive.HadoopTableReader.<init>(TableReader.scala:63)
> at
> org.apache.spark.sql.hive.execution.HiveTableScan.<init>(HiveTableScan.scala:68)
> at
> org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188)
> at
> org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188)
> at
> org.apache.spark.sql.SQLContext$SparkPlanner.pruneFilterProject(SQLContext.scala:364)
> at
> org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$.apply(HiveStrategies.scala:184)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
> at
> org.apache.spark.sql.execution.SparkStrategies$TakeOrdered$.apply(SparkStrategies.scala:191)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
> at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
> at
> org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
> at
> org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:402)
> at
> org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:400)
> at
> org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:406)
> at
> org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:406)
> at org.apache.spark.sql.SchemaRDD.collect(SchemaRDD.scala:438)
> at $iwC$$iwC$$iwC$$iwC.<init>(<console>:15)
> at $iwC$$iwC$$iwC.<init>(<console>:20)
> at $iwC$$iwC.<init>(<console>:22)
> at $iwC.<init>(<console>:24)
> at <init>(<console>:26)
> at .<init>(<console>:30)
> at .<clinit>(<console>)
> at .<init>(<console>:7)
> at .<clinit>(<console>)
> at $print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:789)
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1062)
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:615)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:646)
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:610)
> at
> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:814)
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:859)
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:771)
> at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:616)
> at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:624)
> at org.apache.spark.repl.SparkILoop.loop(SparkILoop.scala:629)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply$mcZ$sp(SparkILoop.scala:954)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:902)
> at
> org.apache.spark.repl.SparkILoop$$anonfun$process$1.apply(SparkILoop.scala:902)
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:902)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:997)
> at org.apache.spark.repl.Main$.main(Main.scala:31)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:328)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
>
>
> Regards
> Arthur
>
>
