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From "Yin Huai (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-10672) We should not fail to create a table If we cannot persist metadata of a data source table to metastore in a Hive compatible way
Date Fri, 18 Sep 2015 00:29:04 GMT

     [ https://issues.apache.org/jira/browse/SPARK-10672?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Yin Huai updated SPARK-10672:
-----------------------------
    Priority: Blocker  (was: Major)

> We should not fail to create a table If we cannot persist metadata of a data source table
to metastore in a Hive compatible way
> -------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-10672
>                 URL: https://issues.apache.org/jira/browse/SPARK-10672
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>            Reporter: Yin Huai
>            Assignee: Yin Huai
>            Priority: Blocker
>
> It is possible that Hive has some internal restrictions on what kinds of metadata of
a table it accepts (e.g. Hive 0.13 does not support decimal stored in parquet). If it is the
case, we should not fail when we try to store the metadata in a Hive compatible way. We should
just save it in the Spark SQL specific format.



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