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From "Kathleen Ting (Updated) (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SQOOP-463) Sqoop User Guide's troubleshooting section should explain how to override the column mapping when importing a table from MySQL into Hive
Date Wed, 14 Mar 2012 23:10:46 GMT

     [ https://issues.apache.org/jira/browse/SQOOP-463?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Kathleen Ting updated SQOOP-463:
--------------------------------

    Attachment: SQOOP-463-1.patch

Fixed typo (missing space between two words). Thanks to Cheolsoo for catching that.
                
> Sqoop User Guide's troubleshooting section should explain how to override the column
mapping when importing a table from MySQL into Hive
> ----------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SQOOP-463
>                 URL: https://issues.apache.org/jira/browse/SQOOP-463
>             Project: Sqoop
>          Issue Type: Improvement
>          Components: docs
>    Affects Versions: 1.4.1-incubating
>            Reporter: Kathleen Ting
>            Assignee: Kathleen Ting
>         Attachments: SQOOP-463-1.patch, SQOOP-463.patch
>
>
> When importing a table from MySQL into Hive where one of the columns is of datatype TINYINT(1),
Sqoop will automatically map this to the Hive datatype boolean. This is because the MySQL
JDBC connector maps the TINYINT(1) datatype to java.sql.Types.BIT, which Sqoop by default
maps to the Hive type Boolean. Consequently, if you have values such as 1 or 0 in this column,
they will fail to parse correctly in Hive, instead appearing as all NULL values.

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