ignite-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Nikolay Izhikov (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (IGNITE-10314) Spark dataframe will get wrong schema if user executes add/drop column DDL
Date Thu, 27 Dec 2018 03:48:00 GMT

    [ https://issues.apache.org/jira/browse/IGNITE-10314?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16729304#comment-16729304
] 

Nikolay Izhikov commented on IGNITE-10314:
------------------------------------------

[~ldz] Thanks for the PR update!

I left some comments in PR, please, check it.

> Spark dataframe will get wrong schema if user executes add/drop column DDL
> --------------------------------------------------------------------------
>
>                 Key: IGNITE-10314
>                 URL: https://issues.apache.org/jira/browse/IGNITE-10314
>             Project: Ignite
>          Issue Type: Bug
>          Components: spark
>    Affects Versions: 2.3, 2.4, 2.5, 2.6, 2.7
>            Reporter: Ray Liu
>            Assignee: Ray Liu
>            Priority: Critical
>             Fix For: 2.8
>
>
> When user performs add/remove column in DDL,  Spark will get the old/wrong schema.
>  
> Analyse 
> Currently Spark data frame API relies on QueryEntity to construct schema, but QueryEntity
in QuerySchema is a local copy of the original QueryEntity, so the original QueryEntity is
not updated when modification happens.
>  
> Solution
> Use GridQueryTypeDescriptor to replace QueryEntity



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

Mime
View raw message