You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Yin Huai (JIRA)" <ji...@apache.org> on 2015/09/22 22:31:04 UTC

[jira] [Resolved] (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

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

Yin Huai resolved SPARK-10672.
------------------------------
       Resolution: Fixed
    Fix Version/s: 1.5.1
                   1.6.0

Issue resolved by pull request 8824
[https://github.com/apache/spark/pull/8824]

> 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
>             Fix For: 1.6.0, 1.5.1
>
>
> 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.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org