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From "David Malinge (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (SPARK-22306) INFER_AND_SAVE overwrites important metadata in Metastore
Date Thu, 19 Oct 2017 14:33:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-22306?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16211129#comment-16211129
] 

David Malinge edited comment on SPARK-22306 at 10/19/17 2:32 PM:
-----------------------------------------------------------------

[~dongjoon]
Seems to be set to false by default (or at least in my current setup)


was (Author: whoisdavid):
[~dongjoon]
spark.sql.hive.convertMetastoreParquet.mergeSchema=false
Seems to be set to false by default (or at least in my current setup)

> INFER_AND_SAVE overwrites important metadata in Metastore
> ---------------------------------------------------------
>
>                 Key: SPARK-22306
>                 URL: https://issues.apache.org/jira/browse/SPARK-22306
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.2.0
>         Environment: Hive 2.3.0 (PostgresQL metastore)
> Spark 2.2.0
>            Reporter: David Malinge
>
> I noticed some critical changes on my hive tables and realized that they were caused
by a simple select on SparkSQL. Looking at the logs, I found out that this select was actually
performing an update on the database "Saving case-sensitive schema for table". 
> I then found out that Spark 2.2.0 introduces a new default value for spark.sql.hive.caseSensitiveInferenceMode
(see SPARK-20888): INFER_AND_SAVE
> The issue is that this update changes critical metadata of the table, in particular:
> - changes the owner to the current user
> - removes bucketing metadata (BUCKETING_COLS, SDS)
> - removes sorting metadata (SORT_COLS)
> Switching the property to: NEVER_INFER prevents the issue.
> Also, note that the damage can be fix manually in Hive with e.g.:
> {code:sql}
> alter table [table_name] 
> clustered by ([col1], [col2]) 
> sorted by ([colA], [colB])
> into [n] buckets
> {code}



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