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From "Pallavi Singh (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (CARBONDATA-585) Dictionary file is locked for Updation
Date Mon, 16 Jan 2017 13:17:26 GMT

     [ https://issues.apache.org/jira/browse/CARBONDATA-585?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Pallavi Singh updated CARBONDATA-585:
-------------------------------------
    Environment: Cluster (Spark 1.6)  (was: Cluster )

> Dictionary file is locked for Updation
> --------------------------------------
>
>                 Key: CARBONDATA-585
>                 URL: https://issues.apache.org/jira/browse/CARBONDATA-585
>             Project: CarbonData
>          Issue Type: Bug
>          Components: data-load
>    Affects Versions: 1.0.0-incubating
>         Environment: Cluster (Spark 1.6)
>            Reporter: Pallavi Singh
>             Fix For: 1.0.0-incubating
>
>
> On the execution of the following query :
> LOAD DATA inpath 'hdfs://localhost:54310/csv/test.csv' INTO table employee options('DELIMITER'=',',
'FILEHEADER'='id, firstname');
> the table schema is a following :
> +-----------+------------+----------+--+
> | col_name  | data_type  | comment  |
> +-----------+------------+----------+--+
> | id        | bigint     |          |
> | firstname      | string     |          |
> +-----------+------------+----------+--+
> The load gets successful at times but we also end up often with the following error :
> Dictionary file is locked for Updation.
> Following below are the logs :
> AUDIT 02-01 18:17:07,009 - [knoldus][pallavi][Thread-110]Dataload failure for default.employee.
Please check the logs
> INFO  02-01 18:17:07,020 - pool-30-thread-1 Successfully deleted the lock file /tmp/default/employee/meta.lock
> INFO  02-01 18:17:07,022 - Table MetaData Unlocked Successfully after data load
> ERROR 02-01 18:17:07,022 - Error executing query, currentState RUNNING, 
> 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 5, 192.168.2.188): java.lang.RuntimeException:
Dictionary file firstname is locked for updation. Please try after some time
> 	at scala.sys.package$.error(package.scala:27)
> 	at org.apache.carbondata.spark.rdd.CarbonGlobalDictionaryGenerateRDD$$anon$1.<init>(CarbonGlobalDictionaryRDD.scala:364)
> 	at org.apache.carbondata.spark.rdd.CarbonGlobalDictionaryGenerateRDD.compute(CarbonGlobalDictionaryRDD.scala:302)
> 	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
> 	at org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
> 	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
> 	at org.apache.spark.scheduler.Task.run(Task.scala:89)
> 	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
> 	at java.lang.Thread.run(Thread.java:745)
> Driver stacktrace:
> 	at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala: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:769)
>  



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