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https://issues.apache.org/jira/browse/SPARK-21823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16474474#comment-16474474
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Sunitha Kambhampati edited comment on SPARK-21823 at 5/14/18 5:01 PM:
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I have the changes for this. Once the dependent SPARK-21784 is reviewed and
merged, I can submit changes for this issue.
was (Author: ksunitha):
I have the changes for this. Once the dependent SPARK-21784 is reviewed and
delivered, I can submit changes for this issue.
> ALTER TABLE table statements such as RENAME and CHANGE columns should raise
> error if there are any dependent constraints.
> -----------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-21823
> URL: https://issues.apache.org/jira/browse/SPARK-21823
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Suresh Thalamati
> Priority: Major
>
> Following ALTER TABLE DDL statements will impact the informational
> constraints defined on a table:
> {code:sql}
> ALTER TABLE name RENAME TO new_name
> ALTER TABLE name CHANGE column_name new_name new_type
> {code}
> Spark SQL should raise errors if there are
informational constraints
> defined on the columns affected by the ALTER and let the user drop
> constraints before proceeding with the DDL. In the future we can enhance the
> ALTER to automatically fix up the constraint definition in the catalog when
> possible, and not raise error
> When spark adds support for DROP/REPLACE of columns they will impact
> informational constraints.
> {code:sql}
> ALTER TABLE name DROP [COLUMN] column_name
> ALTER TABLE name REPLACE COLUMNS (col_spec[, col_spec ...])
> {code}
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