[jira] [Commented] (SPARK-33137) Support ALTER TABLE in JDBC v2 Table Catalog: update type and nullability of columns (PostgreSQL dialect)

2020-10-18 Thread Apache Spark (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-33137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17216386#comment-17216386
 ] 

Apache Spark commented on SPARK-33137:
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User 'huaxingao' has created a pull request for this issue:
https://github.com/apache/spark/pull/30089

> Support ALTER TABLE in JDBC v2 Table Catalog: update type and nullability of 
> columns (PostgreSQL dialect)
> -
>
> Key: SPARK-33137
> URL: https://issues.apache.org/jira/browse/SPARK-33137
> Project: Spark
>  Issue Type: Sub-task
>  Components: SQL
>Affects Versions: 3.1.0
>Reporter: Huaxin Gao
>Priority: Major
>
> Override the default SQL strings for:
> ALTER TABLE UPDATE COLUMN TYPE
> ALTER TABLE UPDATE COLUMN NULLABILITY
> in the following PostgreSQL JDBC dialect according to official documentation.
> Write PostgreSQL integration tests for JDBC.



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[jira] [Commented] (SPARK-33137) Support ALTER TABLE in JDBC v2 Table Catalog: update type and nullability of columns (PostgreSQL dialect)

2020-10-18 Thread Apache Spark (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-33137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17216385#comment-17216385
 ] 

Apache Spark commented on SPARK-33137:
--

User 'huaxingao' has created a pull request for this issue:
https://github.com/apache/spark/pull/30089

> Support ALTER TABLE in JDBC v2 Table Catalog: update type and nullability of 
> columns (PostgreSQL dialect)
> -
>
> Key: SPARK-33137
> URL: https://issues.apache.org/jira/browse/SPARK-33137
> Project: Spark
>  Issue Type: Sub-task
>  Components: SQL
>Affects Versions: 3.1.0
>Reporter: Huaxin Gao
>Priority: Major
>
> Override the default SQL strings for:
> ALTER TABLE UPDATE COLUMN TYPE
> ALTER TABLE UPDATE COLUMN NULLABILITY
> in the following PostgreSQL JDBC dialect according to official documentation.
> Write PostgreSQL integration tests for JDBC.



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