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https://issues.apache.org/jira/browse/DRILL-3893?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Venki Korukanti resolved DRILL-3893.
------------------------------------
       Resolution: Fixed
         Assignee: Venki Korukanti
    Fix Version/s: 1.4.0

>  Issue with Drill after Hive Alters the Table
> ---------------------------------------------
>
>                 Key: DRILL-3893
>                 URL: https://issues.apache.org/jira/browse/DRILL-3893
>             Project: Apache Drill
>          Issue Type: Bug
>          Components: Functions - Hive, Storage - Hive
>    Affects Versions: 1.0.0, 1.1.0
>         Environment: DEV
>            Reporter: arnab chatterjee
>            Assignee: Venki Korukanti
>             Fix For: 1.4.0
>
>
> I reproduced this again on another partitioned table with existing data.
> Providing some more details. I have enabled the version mode for errors. 
> Drill is unable to fetch the new column name that was introduced.This most 
> likely to me seems  to me that it’s still picking up the stale metadata of 
> hive.
> if (!tableColumns.contains(columnName)) {
>             if (partitionNames.contains(columnName)) {
>               selectedPartitionNames.add(columnName);
>             } else {
>               throw new ExecutionSetupException(String.format("Column %s does 
> not exist", columnName));
>             }
>           }
> select testdata from testtable;
> Error: SYSTEM ERROR: ExecutionSetupException: Column testdata does not exist
> Fragment 0:0
> [Error Id: be5cccba-97f6-4cc4-94e8-c11a4c53c8f4 on x.x.com:9999]
>   (org.apache.drill.common.exceptions.ExecutionSetupException) Failure while 
> initializing HiveRecordReader: Column testdata does not exist
>     org.apache.drill.exec.store.hive.HiveRecordReader.init():241
>     org.apache.drill.exec.store.hive.HiveRecordReader.<init>():138
>     org.apache.drill.exec.store.hive.HiveScanBatchCreator.getBatch():58
>     org.apache.drill.exec.store.hive.HiveScanBatchCreator.getBatch():34
>     org.apache.drill.exec.physical.impl.ImplCreator.getRecordBatch():150
>     org.apache.drill.exec.physical.impl.ImplCreator.getChildren():173
>     org.apache.drill.exec.physical.impl.ImplCreator.getRootExec():106
>     org.apache.drill.exec.physical.impl.ImplCreator.getExec():81
>     org.apache.drill.exec.work.fragment.FragmentExecutor.run():235
>     org.apache.drill.common.SelfCleaningRunnable.run():38
>     java.util.concurrent.ThreadPoolExecutor.runWorker():1142
>     java.util.concurrent.ThreadPoolExecutor$Worker.run():617
>     java.lang.Thread.run():745
>   Caused By (org.apache.drill.common.exceptions.ExecutionSetupException) 
> Column testdata does not exist
>     org.apache.drill.exec.store.hive.HiveRecordReader.init():206
>     org.apache.drill.exec.store.hive.HiveRecordReader.<init>():138
>     org.apache.drill.exec.store.hive.HiveScanBatchCreator.getBatch():58
>     org.apache.drill.exec.store.hive.HiveScanBatchCreator.getBatch():34
>     org.apache.drill.exec.physical.impl.ImplCreator.getRecordBatch():150
>     org.apache.drill.exec.physical.impl.ImplCreator.getChildren():173
>     org.apache.drill.exec.physical.impl.ImplCreator.getRootExec():106
>     org.apache.drill.exec.physical.impl.ImplCreator.getExec():81
>     org.apache.drill.exec.work.fragment.FragmentExecutor.run():235
>     org.apache.drill.common.SelfCleaningRunnable.run():38
>     java.util.concurrent.ThreadPoolExecutor.runWorker():1142
>     java.util.concurrent.ThreadPoolExecutor$Worker.run():617
>     java.lang.Thread.run():745 (state=,code=0)
> #########################################################
> Please note that this is a partitioned table with existing data.
> Does Drill Cache the Meta somewhere and hence it’s not getting reflected 
> immediately ?
> DRILL CLI
> > select x from xx;
> Error: SYSTEM ERROR: ExecutionSetupException: Column x does not exist
> Fragment 0:0
> [Error Id: 62086e22-1341-459e-87ce-430a24cc5119 on x.x.com:999] 
> (state=,code=0)
> HIVE CLI
> hive> describe formatted x;
> OK
> # col_name              data_type               comment
> <columns>



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