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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.
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