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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2017/12/13 03:55:00 UTC
[jira] [Resolved] (SPARK-22768) Spark SQL alter table and beeline
alter table Metadata is different
[ https://issues.apache.org/jira/browse/SPARK-22768?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-22768.
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Resolution: Invalid
It's very unclear what you're asking, but this should start on the mailing list.
> Spark SQL alter table and beeline alter table Metadata is different
> -------------------------------------------------------------------
>
> Key: SPARK-22768
> URL: https://issues.apache.org/jira/browse/SPARK-22768
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Environment: Spark 2.2 + hadoop 2.6 + hivemeta (2)
> Reporter: 吴志龙
>
> Metadata to reproduce a problem: I have two hivemeta server
> 1. a new table in beeline 2 fields (connection hivemeta1)
> 2. I modified the table above spark-sql structure, into 3 fields (connection hivemeta2)
> 3.beeline above query data, the reported data table only three Field java.lang.IndexOutOfBoundsException: toIndex = 3 and desc table not found coluns
> Question: 1. beeline data is not synchronized
> 2.hivemeat data synchronization problem
> 3.This is a very serious problem
> This url can not solve my problem:
> https://issues.apache.org/jira/browse/SPARK-18355
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