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From "Rajkumar (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SQOOP-2886) Sqoop export to SQL Server fails/hangs for more number of columns
Date Thu, 17 Mar 2016 19:41:33 GMT

     [ https://issues.apache.org/jira/browse/SQOOP-2886?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Rajkumar updated SQOOP-2886:
----------------------------
    Description: 
Sqoop export job to SQL Server works well with few number of columns(anything less than 15).
When the number of column increases the mapreduce job hangs at 100%. 

Additionally, I tested the same scenario with MySQL db and the jobs were successfully exporting
records for any number of columns. 

Looks like this problem occurs only when exporting data to SQL Server. Can anyone please provide
a workaround until we get a fix for this issue?

  was:
Sqoop export job to SQL Server works well with few number of columns(anything less than 15).
If the number of column increases the mapreduce job hangs at 100%. 

Additionally, I tested the same scenario with MySQL db and the jobs were successfully exporting
records for any number of columns. 

Looks like this problem occurs only when exporting data to SQL Server. Can anyone please provide
a workaround until we get a fix for this issue?


> Sqoop export to SQL Server fails/hangs for more number of columns 
> ------------------------------------------------------------------
>
>                 Key: SQOOP-2886
>                 URL: https://issues.apache.org/jira/browse/SQOOP-2886
>             Project: Sqoop
>          Issue Type: Bug
>          Components: connectors/sqlserver
>    Affects Versions: 1.4.6
>         Environment: Hadoop 2.6.0, SQL Server 2008 R2, Sqoop 1.4.6
>            Reporter: Rajkumar
>            Priority: Critical
>
> Sqoop export job to SQL Server works well with few number of columns(anything less than
15). When the number of column increases the mapreduce job hangs at 100%. 
> Additionally, I tested the same scenario with MySQL db and the jobs were successfully
exporting records for any number of columns. 
> Looks like this problem occurs only when exporting data to SQL Server. Can anyone please
provide a workaround until we get a fix for this issue?



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