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From "Vladimir Ozerov (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (IGNITE-6686) Document SQL Data Types
Date Tue, 07 Nov 2017 14:30:00 GMT

    [ https://issues.apache.org/jira/browse/IGNITE-6686?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16242097#comment-16242097
] 

Vladimir Ozerov commented on IGNITE-6686:
-----------------------------------------

[~dmagda], I do not think that mixing all platforms on the same page is a good idea. It is
better to have one page for languages (Java, .NET, CPP), one for JDBC and another for ODBC.
Makes sense?

> Document SQL Data Types
> -----------------------
>
>                 Key: IGNITE-6686
>                 URL: https://issues.apache.org/jira/browse/IGNITE-6686
>             Project: Ignite
>          Issue Type: Task
>      Security Level: Public(Viewable by anyone) 
>          Components: documentation
>            Reporter: Denis Magda
>            Assignee: Vladimir Ozerov
>             Fix For: 2.3
>
>
> The data types page should include all SQL types supported and how they mapped to a language
or driver specific type. Presently the types are represented in a tabular format:
> https://apacheignite-sql.readme.io/v2.3/docs/data-types
> Guys, please help to fill out langage/drivers specific columns:
> # [~ptupitsyn] - .NET data types.
> # [~isapego] - C++ and ODBC data type.
> # [~al.psc] - JDBC and JAVA data types.
> [~vozerov], please suggest what to do with these few types below. They supported by H2
but I'm not sure how Ignite deals with them:
> http://www.h2database.com/html/datatypes.html#identity_type
> http://www.h2database.com/html/datatypes.html#binary_type
> http://www.h2database.com/html/datatypes.html#other_type
> http://www.h2database.com/html/datatypes.html#varchar_ignorecase_type
> http://www.h2database.com/html/datatypes.html#blob_type
> http://www.h2database.com/html/datatypes.html#clob_type
> http://www.h2database.com/html/datatypes.html#array_type
> http://www.h2database.com/html/datatypes.html#enum_type



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