Yes，it work thanks。
follow wiki quick start,use spark-default.conf , should config
carbondata.properties
but i use spark-shell , not include carbon.properties in it.
2016-12-09 11:48 GMT+08:00 Liang Chen [via Apache CarbonData Mailing List
archive] <ml-node+s1130556n3973...@n5.nabble.com>:
> Hi
>
> Have you solved this issue after applying new configurations?
>
> Regards
> Liang
>
> geda wrote
> hello:
> i test data in spark locak model ,then load data inpath to table ,works
> well.
> but when i use yarn-client modle, with 1w rows , size :940k ,but error
> happend ,there is no lock find in tmp dir ,i don't know how to
> debug,help.thanks.
> spark1.6 hadoop 2.7|2.6 carbondata 0.2
> local mode: run ok
> $SPARK_HOME/bin/spark-shell --master local[4] --jars /usr/local/spark/lib/
> carbondata_2.10-0.2.0-incubating-shade-hadoop2.7.1.jar
>
>
> yarn command : run bad
> $SPARK_HOME/bin/spark-shell --verbose --master yarn-client
> --driver-memory 1G --driver-cores 1 --executor-memory 4G --num-executors
> 5 --executor-cores 1 --conf "spark.executor.extraJavaOptions=-XX:NewRatio=2
> -XX:PermSize=512m -XX:MaxPermSize=512m -XX:SurvivorRatio=6 -verbose:gc
> -XX:-PrintGCDetails -XX:+PrintGCTimeStamps " --conf "spark.driver.
> extraJavaOptions=-XX:MaxPermSize=512m -XX:PermSize=512m" --conf
> spark.yarn.driver.memoryOverhead=1024 --conf
> spark.yarn.executor.memoryOverhead=3096
> --jars /usr/local/spark/lib/carbondata_2.10-0.2.0-
> incubating-shade-hadoop2.7.1.jar
>
> import java.io._
> import org.apache.hadoop.hive.conf.HiveConf
> import org.apache.spark.sql.CarbonContext
> val storePath = "hdfs://test:8020/usr/carbondata/store"
> val cc = new CarbonContext(sc, storePath)
> cc.setConf(HiveConf.ConfVars.HIVECHECKFILEFORMAT.varname, "false")
> cc.setConf("carbon.kettle.home","/usr/local/spark/carbondata/carbonplugins")
>
> cc.sql("CREATE TABLE `LINEORDER3` ( LO_ORDERKEY bigint,
> LO_LINENUMBER int, LO_CUSTKEY bigint, LO_PARTKEY
> bigint, LO_SUPPKEY bigint, LO_ORDERDATE int,
> LO_ORDERPRIOTITY string, LO_SHIPPRIOTITY int, LO_QUANTITY int,
> LO_EXTENDEDPRICE int, LO_ORDTOTALPRICE int, LO_DISCOUNT int,
> LO_REVENUE int, LO_SUPPLYCOST int, LO_TAX int,
> LO_COMMITDATE int, LO_SHIPMODE string ) STORED BY
> 'carbondata'")
> cc.sql(s"load data local inpath 'hdfs://test:8020/tmp/lineorder_1w.tbl'
> into table lineorder3 options('DELIMITER'='|', 'FILEHEADER'='LO_ORDERKEY,
> LO_LINENUMBER, LO_CUSTKEY, LO_PARTKEY , LO_SUPPKEY , LO_ORDERDATE ,
> LO_ORDERPRIOTITY , LO_SHIPPRIOTITY , LO_QUANTITY ,LO_EXTENDEDPRICE ,
> LO_ORDTOTALPRICE ,LO_DISCOUNT , LO_REVENUE , LO_SUPPLYCOST, LO_TAX,
> LO_COMMITDATE, LO_SHIPMODE')")
>
> org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
> in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage
> 2.0 (TID 8, datanode03-bi-dev): java.lang.RuntimeException: Dictionary file
> lo_orderpriotity is locked for updation. Please try after some time
> at scala.sys.package$.error(package.scala:27)
> at org.apache.carbondata.spark.rdd.CarbonGlobalDictionaryGenerate
> RDD$$anon$1.<init>(CarbonGlobalDictionaryRDD.scala:353)
> at org.apache.carbondata.spark.rdd.CarbonGlobalDictionaryGenerate
> RDD.compute(CarbonGlobalDictionaryRDD.scala:293)
> at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
>
> at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
>
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
>
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
>
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
>
> at java.lang.Thread.run(Thread.java:745)
>
> Driver stacktrace:
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$
> scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
>
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$
> abortStage$1.apply(DAGScheduler.scala:1419)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$
> abortStage$1.apply(DAGScheduler.scala:1418)
> at
> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
>
> at
> org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
>
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$
> handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$
> handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
> at scala.Option.foreach(Option.scala:236)
> at
> org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
>
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.
> doOnReceive(DAGScheduler.scala:1640)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.
> onReceive(DAGScheduler.scala:1599)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.
> onReceive(DAGScheduler.scala:1588)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>
> at
> org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
>
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
> at org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:927)
>
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
>
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
>
> at org.apache.spark.rdd.RDD.withScope(RDD.scala:316)
> at org.apache.spark.rdd.RDD.collect(RDD.scala:926)
> at org.apache.carbondata.spark.util.GlobalDictionaryUtil$.
> generateGlobalDictionary(GlobalDictionaryUtil.scala:800)
> at org.apache.spark.sql.execution.command.
> LoadTableUsingKettle.run(carbonTableSchema.scala:1197)
> at org.apache.spark.sql.execution.command.LoadTable.
> run(carbonTableSchema.scala:1036)
> at org.apache.spark.sql.execution.ExecutedCommand.
> sideEffectResult$lzycompute(commands.scala:58)
> at org.apache.spark.sql.execution.ExecutedCommand.
> sideEffectResult(commands.scala:56)
> at
> org.apache.spark.sql.execution.ExecutedCommand.doExecute(commands.scala:70)
>
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$
> execute$5.apply(SparkPlan.scala:132)
> at org.apache.spark.sql.execution.SparkPlan$$anonfun$
> execute$5.apply(SparkPlan.scala:130)
> at
> org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
>
> at
> org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:130)
>
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:55)
>
> at
> org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:55)
>
> at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:145)
> at org.apache.spark.sql.DataFrame.<init>(DataFrame.scala:130)
> at
> org.apache.carbondata.spark.rdd.CarbonDataFrameRDD.<init>(CarbonDataFrameRDD.scala:23)
>
> at org.apache.spark.sql.CarbonContext.sql(CarbonContext.scala:137)
>
> at
> $line32.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:37)
>
> at
> $line32.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:42)
>
> at
> $line32.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:44)
>
> at
> $line32.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:46)
>
> at $line32.$read$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:48)
>
> at $line32.$read$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:50)
> at $line32.$read$$iwC$$iwC$$iwC$$iwC.<init>(<console>:52)
> at $line32.$read$$iwC$$iwC$$iwC.<init>(<console>:54)
> at $line32.$read$$iwC$$iwC.<init>(<console>:56)
> at $line32.$read$$iwC.<init>(<console>:58)
> at $line32.$read.<init>(<console>:60)
> at $line32.$read$.<init>(<console>:64)
> at $line32.$read$.<clinit>(<console>)
> at $line32.$eval$.<init>(<console>:7)
> at $line32.$eval$.<clinit>(<console>)
> at $line32.$eval.$print(<console>)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(
> NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(
> DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at
> org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
>
> at
> org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
>
> at
> org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
>
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
>
> at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
>
> at
> org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
>
> at
> org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
>
> at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
> at
> org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
>
> at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
>
> at org.apache.spark.repl.SparkILoop.org$apache$spark$
> repl$SparkILoop$$loop(SparkILoop.scala:670)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$
> apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
>
> at org.apache.spark.repl.SparkILoop$$anonfun$org$
> apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at org.apache.spark.repl.SparkILoop$$anonfun$org$
> apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
> at
> scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
>
> at org.apache.spark.repl.SparkILoop.org$apache$spark$
> repl$SparkILoop$$process(SparkILoop.scala:945)
> at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
>
> at org.apache.spark.repl.Main$.main(Main.scala:31)
> at org.apache.spark.repl.Main.main(Main.scala)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(
> NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(
> DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$
> deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
> at
> org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
>
> at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
>
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
>
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
> Caused by: java.lang.RuntimeException: Dictionary file lo_orderpriotity is
> locked for updation. Please try after some time
> at scala.sys.package$.error(package.scala:27)
>
>
>
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