You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@carbondata.apache.org by "cen yuhai (JIRA)" <ji...@apache.org> on 2017/06/11 14:14:18 UTC

[jira] [Created] (CARBONDATA-1153) Can not add column because it is aborted

cen yuhai created CARBONDATA-1153:
-------------------------------------

             Summary: Can not add column because it is aborted
                 Key: CARBONDATA-1153
                 URL: https://issues.apache.org/jira/browse/CARBONDATA-1153
             Project: CarbonData
          Issue Type: Bug
          Components: spark-integration
    Affects Versions: 1.2.0
            Reporter: cen yuhai


why can't I add column? no one are altering the table...
{code}
scala> carbon.sql("alter table temp.yuhai_carbon add columns(test1 string)")
17/06/11 22:09:13 AUDIT [org.apache.spark.sql.execution.command.AlterTableAddColumns(207) -- main]: [sh-hadoop-datanode-250-104.elenet.me][master][Thread-1]Alter table add columns request has been received for temp.yuhai_carbon
17/06/11 22:10:22 ERROR [org.apache.spark.scheduler.TaskSetManager(70) -- task-result-getter-3]: Task 0 in stage 0.0 failed 4 times; aborting job
17/06/11 22:10:22 ERROR [org.apache.spark.sql.execution.command.AlterTableAddColumns(141) -- main]: main Alter table add columns failed :Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, sh-hadoop-datanode-368.elenet.me, executor 7): java.lang.RuntimeException: Dictionary file test1 is locked for updation. Please try after some time
        at scala.sys.package$.error(package.scala:27)
        at org.apache.carbondata.spark.util.GlobalDictionaryUtil$.loadDefaultDictionaryValueForNewColumn(GlobalDictionaryUtil.scala:857)
        at org.apache.carbondata.spark.rdd.AlterTableAddColumnRDD$$anon$1.<init>(AlterTableAddColumnRDD.scala:83)
        at org.apache.carbondata.spark.rdd.AlterTableAddColumnRDD.compute(AlterTableAddColumnRDD.scala:68)
        at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:331)
        at org.apache.spark.rdd.RDD.iterator(RDD.scala:295)
        at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:88)
        at org.apache.spark.scheduler.Task.run(Task.scala:104)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:351)
        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)
{code}



--
This message was sent by Atlassian JIRA
(v6.3.15#6346)