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  1. CarbonData
  2. CARBONDATA-585

Dictionary file is locked for Updation

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Duplicate
    • Affects Version/s: 1.0.0-incubating
    • Fix Version/s: 1.0.0-incubating
    • Component/s: data-load
    • Labels:
      None
    • Environment:
      Cluster (Spark 1.6)

      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)

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            • Assignee:
              Unassigned
              Reporter:
              pallavisingh_09 Pallavi Singh
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              Dates

              • Created:
                Updated:
                Resolved: