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Posted to issues@ignite.apache.org by "Alexey Zinoviev (Jira)" <ji...@apache.org> on 2019/10/10 14:05:00 UTC

[jira] [Commented] (IGNITE-9229) Integration with Spark Data Frame. Add support for a ARRAY data type

    [ https://issues.apache.org/jira/browse/IGNITE-9229?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16948604#comment-16948604 ] 

Alexey Zinoviev commented on IGNITE-9229:
-----------------------------------------

Dear [~nizhikov] there is no SQL Type ARRAY here [https://apacheignite-sql.readme.io/docs/data-types]

Historically, ARRAY type in Spark comes from Hive and Hadoop and NoSQL world to be competitor with Mongo and so on.

If we will not ask SQL maintainers to add this function, how do you think it can be implemented in Spark-Ignite integration? Maybe the best case - Note about this limitation and throw exception? Or keep it like a STRING field in IGNITE with additional metadata?

> Integration with Spark Data Frame. Add support for a ARRAY data type
> --------------------------------------------------------------------
>
>                 Key: IGNITE-9229
>                 URL: https://issues.apache.org/jira/browse/IGNITE-9229
>             Project: Ignite
>          Issue Type: Bug
>          Components: spark
>    Affects Versions: 2.9
>            Reporter: Nikolay Izhikov
>            Assignee: Alexey Zinoviev
>            Priority: Critical
>
> Currently, integration with Spark Data Frames doesn't support ARRAY data type.
> We need to add support for it



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