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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:34:26 UTC
[jira] [Resolved] (SPARK-9761) Inconsistent metadata handling with
ALTER TABLE
[ https://issues.apache.org/jira/browse/SPARK-9761?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-9761.
---------------------------------
Resolution: Incomplete
> Inconsistent metadata handling with ALTER TABLE
> -----------------------------------------------
>
> Key: SPARK-9761
> URL: https://issues.apache.org/jira/browse/SPARK-9761
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.1
> Environment: Ubuntu on AWS
> Reporter: Simeon Simeonov
> Priority: Major
> Labels: bulk-closed, hive, sql
>
> Schema changes made with {{ALTER TABLE}} are not shown in {{DESCRIBE TABLE}}. The table in question was created with {{HiveContext.read.json()}}.
> Steps:
> # {{alter table dimension_components add columns (z string);}} succeeds.
> # {{describe dimension_components;}} does not show the new column, even after restarting spark-sql.
> # A second {{alter table dimension_components add columns (z string);}} fails with RROR exec.DDLTask: org.apache.hadoop.hive.ql.metadata.HiveException: Duplicate column name: z
> Full spark-sql output [here|https://gist.github.com/ssimeonov/d9af4b8bb76b9d7befde].
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