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[jira] [Updated] (CARBONDATA-585) Dictionary file is locked for Updation

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Akash R Nilugal (Jira)
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[jira] [Updated] (CARBONDATA-585) Dictionary file is locked for Updation

Akash R Nilugal (Jira)

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

Pallavi Singh updated CARBONDATA-585:
-------------------------------------
    Environment: Cluster
    Description:
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)


 


  was:

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)


 


    Component/s: data-load

> 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
>            Reporter: Pallavi Singh
>
> 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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